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# Industry UseCases
All documentation for Industry UseCases.
---
## a-conversation-with-irc-on-frontline-health-data-claude-by-anthropic-90369edbfa.md
# A conversation with IRC on turning frontline health data into action in Burkina Faso
[Try Claude](https://claude.ai)
Industry:
Nonprofit
Company size:
Large
Product:
Claude Enterprise
Location:
North America
2,700+
health facilities across 40 countries
20 minutes
to create HTML dashboards in Claude
The International Rescue Committee (IRC) delivers health care and humanitarian aid in some of the hardest places to work, serving 16.8 million people annually through more than 2,700 health facilities in 40 countries. Kristy Crabtree, the IRC’s global lead of technology for programs, has spent 15 years at the organization working where humanitarian programs and technology meet. We spoke with her about a pilot in Burkina Faso that uses Claude to turn inconsistent frontline health data into offline dashboards.
## Anthropic: As the IRC’s global lead for technology in programs, you describe yourself as an AI skeptic. How do those fit together?
**Kristy Crabtree, IRC:** As excited as I am about new technology, I start from a place of caution. My approach to any of these tools is, ‘Prove it to me.’ I don’t go into it thinking, ‘This is going to save us all.’ I needed to see the actual impact on our work for myself, and that’s what convinced me.
## Anthropic: You’ve been at the IRC for 15 years. What does “technology for programs” mean day to day?
**Crabtree:** The way IRC is structured, we have technical units at headquarters that drive our global practice areas: malnutrition, immunization, contraception, cash assistance, anticipatory action, early education, infectious disease control, violence prevention, social work and crisis. In Technology for Programs, we work with the global practice leads on priority projects that have identified some way that technology can help drive or deliver or measure or scale the program. This example in Burkina Faso came from a higher level need around visualization for our data across sub-Saharan Africa. We reached out to six different countries, and Burkina Faso was one of them. They were actually the ones that raised their hands first.
## Anthropic: For you, a lot of that proof came from a pilot in Burkina Faso. Give us the short version: what were you testing?
**Crabtree:** We did a pilot in Burkina Faso that was starting with our real world constraints and seeing where AI could address some of these challenges. We went into this truly as an experiment of saying, can Claude efficiently generate high quality visualizations of this data that’s in these inconsistent formats that we’re taking from tally sheets? Will people trust these visualizations? Can they use them in sites that have low or poor connectivity? And are they going to bring these visualizations into their decision-making around programs?
We really weren’t sure with any of those things how it was going to turn out, because it’s a pretty big change for folks. What we found was, even in the early weeks of the pilot, we started seeing really positive results, and I’d say results we weren’t expecting as well. And when you consider that nearly 3,000 health facilities across sub-Saharan Africa face the same data challenge, what works in Burkina Faso has the potential to change how health teams across the region use data.
## Anthropic: What makes frontline health data so hard to work with in the places where the IRC operates?
**Crabtree:** The ministries of health in different countries are organized in different ways, some more top down, and some more local. What they decide to track could be static, or it could change rapidly depending on who’s in leadership at a local, subnational, or national level. So even within a country, there’s no chance for IRC to change all of the indicators the Ministry of Health is deciding to collect or their means for collecting the data.
## Anthropic: Where does that data live before it reaches your team?
**Crabtree:** Because of electricity issues, connectivity issues, and lack of resourcing, especially in sub-Saharan Africa, a lot of data often goes into a register. A register is just a paper notebook that holds aggregate numbers from that health facility. They might record things like: “We served four children in the zero-to-two age group with malnutrition treatment.” Our staff will then go into the facility and transfer that information to Excel. It’s all a very manual process, and the staff doesn’t have time to develop unique visualizations for each of these sites on a regular, recurring basis.
## Anthropic: Why did this feel like the right problem for AI?
**Crabtree:** We really want data to drive our decisions. And yet to utilize this data, there are significant barriers. It’s unique to each facility, it could change at any moment, and the scale of this challenge is significant. It’s close to 23,000 healthcare facilities in sub-Saharan Africa that have the same problem. We want to take action based on data, but the scale of the data problem made that insurmountable until AI was an opportunity.
## Anthropic: Walk me through what you actually built.
**Crabtree:** We wanted to test if we could make a custom visualization template that could be applied at a facility level and modified at a facility level by someone with no coding or engineering experience, just a measurement specialist. How can we just change the visualization as one variable in this process? We asked Burkina Faso to come up with indicators that they are commonly tracking.
We worked on a visualization template with the team, which became just an HTML dashboard. For us to create an HTML dashboard would normally have required engineers involved in the process. It would have been costly. We just wouldn’t have gone down that road. And we don’t have connectivity in a lot of these settings, so we can’t build a fancy dashboard that requires the internet. The beautiful thing about the HTML is it’s a super light file that I can send to a facility manager. Then they can take their Excel file from that local facility and just drag and drop it in there. No connectivity needed.
And we just did it in the chat. We didn’t even need Claude Code, that’s the amazing thing. Once you have the base HTML file, making changes is a quick process you can just do with natural language.
## Anthropic: What surprised you about how the teams responded?
**Crabtree:** Normally with these kinds of tech projects it would require a lot more coaching. But in this case, they just took this template that myself and the Regional Measurement Advisor made and ran with it because of the ease of use. They said things like: “I want to change this, and I actually just did it myself.” They came up with better ideas because they’re health professionals working with measurement professionals. They started to track things like targets versus actuals, and associated grants, which is not something I would have normally tracked on my own.
The quality of the visualizations also made it easier for non-measurement staff like health professionals to engage with the information, instead of the pivot table. Having these visualizations that they were able to adjust and adapt over time made it so they could have better discussions about the data than they had ever had before.
## Anthropic: What results are you seeing so far?
**Crabtree:** The Burkina Faso team wants to continue using this, and I think might protest if we refused, because they’re already taking action based on the visualizations. For example, the health team was able to see this visualization really quickly and speak with the truly frontline workers about what they were doing. It turns out, the frontline workers had already changed how they communicate about STI prevention and response with youth in health facilities. The dashboard surfaced the spike, and rather than this being a cause for alarm, the team was able to confirm that their modified outreach approach was actually working. More young people were coming in to seek services.
Both the nutrition and economic recovery teams want to do the same thing, just from word of mouth. This is trying to scale on its own.
We have traditionally always been worried about what if something doesn’t work out. Now we have to worry about what if something *does* work. AI adoption will spread organically, which is what you want, but it also brings up new governance questions. Banny Attiey, the Regional Measurement Advisor for the IRC leading the pilot in Burkina Faso, put it well: “Now that adoption seems to be moving so quickly, we’re focusing on how to better guide its use and ensure its security, reliability, and integrity.” That’s something we’re addressing both centrally and within our local programs.
## Anthropic: Why is data agility so crucial in humanitarian work specifically?
**Crabtree:** For us to get funding for a program, it takes a lot of advance planning. If we put out a proposal to do a mobile outreach program, we will do a mobile outreach program even if things change on the ground. But if we find out in real time that a community-based model for service provision would actually be more effective—because there was just a flood or a drought in this area that no one could have planned for—it can be difficult to pivot.
Everybody wants the whole industry to do more with less. Now more than any other time, while funding is so tight everywhere, the ability to be more flexible and more responsive to what the community needs is huge. The data allows us to make that decision, instead of a gut feeling.
## Anthropic: What would you tell other organizations trying to figure out where to start with AI?
**Crabtree:** There’s not a perfect place to start. Start with something that’s easy to measure or easy to know if it’s working well or not. We really understood the problem that Burkina Faso was having, and we still spent a majority of our time defining that problem; that actually took a lot more time than developing the dashboard. The dashboard was the easiest part of that process.
The other advice I’d give is where you can get a cross-functional team together, you will build something better than you would have built on your own. People will be bought into the process because they developed their own judgment as part of the process. I would suggest organizations think beyond the immediately shiny thing and think about the thing that’s annoying and painful for staff to do, because then it will allow them to do more of the stuff that they want to do.
## Anthropic: How should the sector be talking about AI?
**Crabtree:** Having these visualizations made for better health outcomes in Burkina Faso—that’s the story that we need to share. The STI prevention and response worked, and the reason we know it worked is because we had better visualizations, and we had better visualizations because we were able to address this really unique challenge that was also really huge at scale, in the data visualization. Instead of “AI did this thing,” it’s “health outcomes changed in this way, and AI was a part of that.”
## Related stories
### The International Rescue Committee turns fragmented health data into faster decisions with Claude
[](/)
© 2026 Anthropic PBC
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---
## adalat-ai-claude-platform-api-case-study-claude-by-anthropic-5bd336b85c.md
# Adalat AI makes India’s court system accessible to millions with Claude
[Try Claude](https://claude.ai)
Industry:
Beneficial Deployments
Company size:
Small
Product:
Claude Platform
Location:
India
50–200% productivity gains
across engineering teams with Claude Code
National WhatsApp helpline launched,
providing multilingual legal information to a country of 1 billion people
Nonprofits
Turn limited resources into lasting impact. Generate grant proposals, track program outcomes, and free your team to focus on serving your community.
[Read more](/solutions/nonprofits)
Claude Code
Anthropic's agentic coding tool. Claude Code understands your codebase, edits files, runs commands, and helps you ship faster.
[Read more](/product/claude-code)
[**Adalat AI**](https://www.adalat.ai/) is a legal-tech nonprofit building justice technology for courts across India and the Global South, supporting judges and court staff with real-time multilingual speech-to-text and AI-powered translation with Adalat’s models. With Claude, Adalat AI accelerated its engineering capacity and launched India’s first AI-powered national case information helpline on WhatsApp—giving ordinary families the ability to understand their own court cases, in their own language, for the first time.
## With Claude, Adalat AI accomplished:
- 50–200% productivity gains across engineering teams with Claude Code
- Production-ready products deployed to real users in under 30 days, built by a single engineer using Claude Code
- Claude API intelligence layer implemented in 2 days; first working prototype in 1 week
- Bug resolution dropped from half-day investigations to under two hours
- National WhatsApp helpline provides multilingual legal information across the country
## The challenge: A justice system overwhelmed by delay
India has more than 50 million pending court cases. The average case takes more than 12 years to resolve. At the current pace, clearing the backlog could take centuries.
“India’s court backlog isn’t an abstract statistic, it shapes everyday life for millions of families,” said Adalat AI co-founder and CEO Utkarsh Saxena. “With over 50 million pending cases and average resolution times exceeding 12 years, justice often arrives too late to matter.”
The consequences are personal: people awaiting trial spending years in jail without conviction, farmers unable to reclaim seized land, and workers waiting for unpaid wages. With 76% of India’s prison population consisting of people awaiting trial, the burden falls hardest on the poor and marginalized. India has roughly 20 judges per million people, compared to 150–200 in developed countries. “Even saving 30 minutes a day per judge, multiplied across 4,000+ courtrooms, is equivalent to adding hundreds of judges to the system without hiring a single one,” said Saxena.
Beyond the courtrooms, litigants face a deep information access crisis. Most court portals have non-intuitive navigation, multiple CAPTCHAs, and content overwhelmingly in English—effectively unusable for low-income or non-English-speaking communities. Families often have no idea what is happening in their own cases.
## Choosing Claude for privacy standards
Adalat AI evaluated multiple models before selecting Claude Sonnet 4.5 and Haiku 4.5. “Claude consistently produced summaries that were both faithful to the source and genuinely readable for non-lawyers,” said Arghya Bhattacharya, Co-founder and CTO. “Other models either oversimplified, losing critical nuance, or reproduced the complexity without making it accessible.” Claude’s disciplined reasoning—staying within the document without speculating or providing legal advice—was noticeably stronger than alternatives.
“In our world, institutional trust compounds slowly and collapses quickly,” Bhattacharya said. “We chose Claude in part because Anthropic’s approach to data handling and privacy aligned with the trust standards we need to maintain with our government and judicial partners.”
## The solution: Claude Code for engineering speed, Claude’s API for accessible justice
Adalat AI turned to Claude on two fronts: Claude Code to accelerate internal engineering, and the Claude API to power a national WhatsApp helpline that puts court case information directly into litigants' hands.
**A national helpline on WhatsApp.** The WhatsApp chatbot, built on the Claude API, is India’s first AI-powered national case information helpline. Anyone in the country can search for their court case, check its status, review case history, see the next hearing date, and download orders—through a platform more than 500 million people in India already use daily.
Claude’s critical role is summarization and translation. Court orders are often lengthy, written in formal English legal jargon, and impenetrable to non-lawyers. A perfectly accurate English summary doesn’t help a Kannada-speaking farmer. Claude summarizes documents into clear, actionable takeaways and translates them into the user’s chosen language—currently English, Hindi, Kannada, and Malayalam.
“When you take a 15-page court order written in English legal jargon, and Claude summarizes it into three clear paragraphs in Kannada or Hindi explaining what was decided, what the litigant needs to do, and when their next hearing is, you’re transforming court records from inaccessible legal artifacts into actionable information,” Saxena said. “For the first time, a litigant can understand their own case without depending entirely on their lawyer or a paid intermediary.”
**Accelerating engineering with Claude Code.** The core engineering team uses Claude Code for architecture validation, feature development, rapid bug resolution, and an additional layer of code review. Adalat’s Zero-to-One Initiatives team—a rapid prototyping arm—staffs each initiative with a single engineer, with Claude Code as their force multiplier. The team runs 3 to 4 parallel initiatives simultaneously, each delivering fully functional products within 30 days.
“Not mockups or wireframes, actual working products that we put in front of court users to get real feedback,” Bhattacharya said. “This means we skip the intermediate step of showing designs. Our users can play around with a living product and give us concrete, grounded feedback.”
## The results: Faster engineering, accessible justice at national scale
With Claude Code, Adalat AI's engineering teams are seeing between 50 and 200% productivity gains. "For a philanthropy-funded nonprofit, that's an extraordinary multiplier on donor dollars,” Bhattacharya said.
The rapid prototyping team, which is shipping multiple new product lines simultaneously, is seeing gains of up to 200%, moving at the pace of a team three times its size. The core platform and engineering teams, which maintain and actively develop the product running in 20% of all courts in India every day, are seeing around 50% gains, consistently delivering output equivalent to a team 50% larger.
"Claude Code has been an absolute revolution internally,” says Bhattacharya. “As a nonprofit you're constrained in how many engineers you can hire, and the fact that you can boost productivity per engineer versus hiring more engineers is a huge resource optimization."
Combined with test-driven development practices, the result is a more robust codebase with fewer issues reaching production. Bug resolution dropped from half-day investigations to under two hours. The Claude API integration for the chatbot was implemented in 2 days, with the first working prototype operational within 1 week.
“The biggest implementation challenge wasn’t actually Claude,” Bhattacharya said. “It was the surrounding infrastructure: integrating with India’s fragmented court data systems, handling the WhatsApp Business API, managing multilingual flows, and building the case identification layer that sits upstream of the LLM. Claude was the part that ‘just worked.’”
Early user feedback has been strong. “They’re very surprised that this is accessible on WhatsApp,” said Saxena. “The idea that they can chat on WhatsApp and get the actual document and then also get it translated and summarized has been transformative.”
Looking ahead, Adalat AI plans to expand language support to 10 or more Indian languages and deepen integrations with state court systems. The team is already in conversations about expansion to Ghana, Kenya, and Zambia. “If the chatbot proves itself in India, the model is replicable across the Global South,” Saxena said. “The Anthropic partnership could scale with us into common-law jurisdictions serving over two billion people.”
## Related stories
### Mercy Corps on what AI makes possible in humanitarian work
### Mercy Corps accelerates global humanitarian response to community feedback with Claude
### The Epilepsy Foundation turns years of expert content into a personal epilepsy assistant with Claude
### How the Epilepsy Foundation uses Claude across the organization
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## advantage-solutions-claude-case-study-claude-by-anthropic-c04297b749.md
# Advantage Solutions gives frontline managers 70,000 hours back with Claude
[Contact sales](/contact-sales)
Industry:
Retail Services
Company size:
Large
Product:
[Claude Enterprise](https://claude.com/solutions/enterprise)[Claude Code](https://claude.com/product/claude-code)[Claude Cowork](https://claude.com/product/cowork)
Partner:
Tenex
Location:
North America
70,000+ labor hours redirected per year
from manual compliance checks to teammate training and floor presence
Scaled from 150 to thousands of users,
from executive-led pilot to enterprise rollout
If you've ever taken a free sample at a grocery store, an Advantage Solutions teammate probably handed it to you. Advantage is a provider of retail solutions for consumer packaged goods (CPG) brands and retailers across North America, serving as a link between 4,000 CPG manufacturers and the retailers where their products are sold. Its 60,000 frontline teammates demo products and restock shelves overnight across more than 90% of US zip codes. After an enterprise AI diagnostic in Q1 2026, Advantage began deploying Claude Enterprise across workforce operations, finance, and corporate communications to redirect manual hours toward training and customer-facing work.
## With Claude, Advantage Solutions:
- Is on track to redirect an estimated 70,000+ labor hours a year from manual event manager compliance checks to teammate training and floor presence
- Validated Claude through a 150-person executive-led pilot before scaling to thousands of users across the company
- Compressed a recurring weekly 10-hour finance forecast validation workflow to under 30 minutes
- Built a dynamic store-routing model in Claude Code now used in live client pitches
- Activated 50+ business unit champions building Claude solutions across finance, retail merchandising, and other functions
- Trained 150+ senior executives and leaders on Claude, including the CEO, with governance running through a CEO-sponsored steering committee
- Surfaced 100+ AI use cases organically across the business, up from 50 at the time of the diagnostic
## The challenge
## Turning scattered AI pilots into operational scale
Going into 2026, Advantage had AI experiments running in pockets across the company without a central owner. One demo business unit had automated 90% of its scheduling for thousands of daily shifts, but most teams were still experimenting independently.
The cost was diffuse. Advantage manages roughly 70 million labor hours a year across frontline operations like in-store product demonstrations, retail merchandising routes, and overnight shelf restocking. Tasks that take 20 or 30 minutes per event manager per shift, multiplied across thousands of locations, add up to hours that could be going to training, retention, and customer-facing work instead.
In early 2026, Advantage commissioned an enterprise AI diagnostic with Tenex, an AI transformation firm. The diagnostic surfaced more than 50 active AI use cases at varying levels of maturity and made clear that Advantage needed governance, fluency, and a clearer set of priorities.
“We needed a central force that was actually thinking about where we were spending time and resources, in order to deploy that in the organization,” said Bethany Miles, Chief AI Officer. “We want to get rid of some of the truly redundant manual tasks, and think about how we upskill our teammates to spend more time on training and being out on the store floor.”
Claude Enterprise
Put Claude to work across your organization. Help everyone think deeper, do more, and build securely.
[Read more](https://claude.com/solutions/enterprise)
## The solution
## Choosing Claude, starting at the top
Working with Tenex, Advantage chose Claude as one of the platforms to build around. “Our team worked closely with Advantage to explore single-player and multi-player AI opportunities,” said Arman Hezarkhani, Managing Partner at Tenex. “With their scale and reach, Advantage needed a platform with enterprise-grade power and reliability. Claude was one of the leading models we could stand up quickly at their scale.”
Advantage made two organizing decisions. The first was governance: the company stood up an AI office reporting into a CEO-sponsored group of C-suite executives that meets regularly to review the portfolio. The second was sequencing. "We needed to meet people where they were in their AI learning journey. We chose to invest in AI fluency starting from the top of the organization," Miles said. The executive leadership team would go through Claude training before anyone else.
“Every major shift in this industry has separated the companies that moved with intention from the ones that waited to see what happened. We chose to move with intention,” said Dave Peacock, CEO of Advantage Solutions. “We chose to start at the top, because you can't ask an organization to transform if its leaders haven't done the work themselves.”
Peacock is equally direct about what AI is for. “The way I think about AI is simple: it's an enabler,” he said. “It enables our teammates to do more meaningful work, our leaders to make faster and better decisions, and increasingly, it's going to enable us to show up for our customers in ways that truly set Advantage apart.”
After the executive team finished, the company ran a three-hour Claude session for the next layer of senior leaders. From there, a growing network of business unit champions began emerging across the pilot, building Claude solutions for their own functions. The pilot itself launched with 150 people. Tenex helped design the curriculum: a 101 orientation on chat, a 201 module on Claude Cowork for multi-source workflows, and a 301 module on Claude Code.
Inside the pilot, super-users emerged quickly. One member of the retail merchandising team built a store-routing model in Claude Code that is now starting to appear in client pitches. It’s also actively being piloted to engage current clients and sharpen their retail execution strategy. Advantage is turning the prototype into a deployable solution.
A finance super-user, Ash Gupta, Director of Financial Planning and Analysis at Advantage, was spending about 10 hours every forecast cycle on slides, commentary, and validation. He automated the assembly work in Claude, compressing it to under 30 minutes. “Claude took all of that off our plate,” said Gupta. “Now we're doing what finance is supposed to do: finding the insight and driving the decision. That's a meaningful shift for a team supporting a business of this size.”
The biggest workforce operations build is in event management. Each shift, an event manager overseeing in-store product demos checks off supply availability and compliance items with highlighters and paper, a 20-to-30-minute task. Advantage is building a tool, in part using Claude Code, that lets the manager take a photo of the cart setup and get a verified compliance check in minutes. Across the network, the company projects the automation will reclaim over 70,000 labor hours a year. "It means they could be on the floor more with our teammates, helping other teammates get training," Miles added. "It's giving us more meaningful work."
Cowork
Give Claude access to your local files and let it complete tasks autonomously. Agentic capabilities for non-technical knowledge work.
[Read more](/product/cowork)
## The outcome
## 70,000 hours back, and a path to enterprise scale
The event manager compliance tool is on track to redirect over 70,000 labor hours a year from manual checks toward training and floor presence across the network. The retail merchandising routing model that started as one super-user's weekend project is now in client pitches. The finance forecast validation automation has compressed a 10-hour-per-week workload to under 30 minutes.
“Seventy thousand hours is not an abstraction,” said George Johnson, Chief Operating Officer of Workforce Operations and Demonstration Services at Advantage. “That's real people, real shifts, and real time that was going to paperwork and is now going back to our teammates. Those teammates are now training faster, staying longer, and being present on the floor. That's not an efficiency story. That's a people story. That's what this is all about.”
A related workforce operations push targets time to first shift for new hires. "There's a gap between saying yes to Advantage and starting your first shift, and we want to close it," Miles said. "The sooner someone's trained and on the floor, the better it is for them, and the better we show up for our clients." Claude Code is being used alongside Tenex to redesign communication channels with new hires and compress that timeline.
Claude Cowork has also become part of how the company communicates, including the company's first-ever shareholder letter this spring, which Peacock closed with a public AI diligence statement on Claude's role in refining it. Miles is applying the same pattern in the CEO office building out Claude Cowork as a working assistant that takes on day-to-day execution so she and Peacock can spend more time on higher-order work. "For anything that's pulling files, synthesizing, or creating workflows, that's where I use Claude Cowork," Miles said.
## Looking ahead
Advantage is now scaling Claude Enterprise from the 150-person pilot to thousands of users across the company. The rollout has expanded through marketing, communications, and other functions, and will continue through the end of 2026. Workforce operations remains the largest area of focus, and Advantage intends to apply Claude to operational opportunities across the business.
The company is also looking beyond internal productivity. “We see a lot of potential here,” Miles said. “It’s really opened the eyes of our leadership team, who have been really impressed with what Claude and Anthropic can do."
Claude Code
Anthropic's agentic coding tool. Claude Code understands your codebase, edits files, runs commands, and helps you ship faster.
[Read more](/product/claude-code)
## Related stories
### Carvana turns Slack alerts into production fixes with Claude Tag
### How can a Boston restaurant owner pay people what they deserve and still keep the lights on?
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## advolve-claude-platform-api-case-study-claude-by-anthropic-a07d4ce1f5.md
# Advolve automates digital marketing with Claude
[Try Claude](https://claude.ai)
Industry:
Professional services
Company size:
Small
Product:
Claude Platform
Location:
North America
90% reduction
in operational work time
15% increase
in customer return on ad spend
Advolve, a B2B Service-as-a-Software company, uses Claude as the central orchestrator of their AI platform to automate the entire digital customer acquisition process, enabling companies to achieve human-level performance in managing multi-million dollar advertising budgets.
With Claude, Advolve is able to:
- Reduce operational work time by 90%
- Increase customer return on ad spend (ROAS) by 15%
- Project 10x revenue for 2025
- Manage millions of ads simultaneously
## Building an AI-native approach to digital marketing
Advolve, an AI-native company, approached digital marketing automation differently from the start. João Sobreira, co-founder, said, "Our company is AI-native, so we built our entire system around having a trustworthy AI to handle all of the features we had in mind." Their team recognized that traditional digital marketing workflows—spanning multiple platforms, creative assets, and data streams—demanded a fundamentally new approach.
"We started by generating static creative assets and copywriting, building an end-to-end system of AI agents that generate and evaluate each asset layer—background, art, fonts, copywriting—based on data from successful past ads," said Sobreira. "Then, we expanded to automate the entire cross-platform campaign configuration, deployment, and optimization, using machine learning to allocate budgets dynamically across platforms and adapt content for the best return on ad spend."
## Selecting Claude for enterprise-grade reliability
After evaluating multiple AI models, Advolve chose Claude for its superior capabilities in orchestrating complex systems. "Our main challenge was to create a complex system connecting multiple software, platforms, and data inputs—way beyond human capabilities," said Sobreira. "We needed robust validation mechanisms, reliable code generation support, and the ability to generate effective creative texts for copywriting. Claude consistently outperformed alternatives in our LLM evaluator testing."
The decision centered on Claude's:
- Advanced code generation for complex technical implementations
- Consistent reliability with lower hallucination rates
- Superior performance in technical validation tasks
- Comprehensive documentation and implementation support
- Sophisticated multi-platform workflow orchestration
## How Claude powers intelligent advertising
Claude’s reasoning capabilities help Advolve with:
- End-to-end workflow automation across advertising platforms
- Real-time data validation and process integrity checks
- Dynamic budget allocation and optimization
- Multi-platform content generation and deployment
- Complex decision-making for campaign management
"Since Claude powers our platform’s central reasoning, we can efficiently manage millions of advertisements simultaneously due to its processing speed," said Sobreira. "The integration was straightforward, allowing us to focus immediately on building our specialized workflows and features."
## Transforming results for businesses
Claude's impact has driven exceptional business growth for Advolve. With their AI-native approach, Advolve anticipates scaling significantly in 2025, managing ad budgets exceeding \$100M by year's end.
The system's effectiveness has attracted major enterprise clients. "Our platform achieves human-level ROAS when managing multi-million dollar budgets in under 30 days," said Sobreira. "We're trusted by some of the largest companies in Brazil, such as iFood and Cogna, validating our impact and scalability."
The transformation is even more dramatic for clients. Operations that previously required large teams now run efficiently with lean staffs while maintaining human-level performance.
## Building an AI-powered future for digital marketing
As an AI-native company, Advolve views the future of advertising technology through the lens of deep tech innovation. "We aim to transform the adtech industry by building a deep tech company through AI," said Sobreira. "We're focused on exploring fine-tuning capabilities to combine Anthropic's powerful models with our proprietary solutions."
Their partnership with Anthropic continues to evolve. Sobreira concludes, "We deeply value Anthropic's team—they're highly skilled and a pleasure to work with, making collaboration smooth and productive. Sobreira said, "Looking ahead, we're excited to host joint events in Brazil, bringing together influential companies to showcase our combined strengths.”
## Related stories
### Caylent turns months of migration work into days with Claude Agent SDK
### How can a two-person fabrication studio make room for problems it’s never solved before?
### LG CNS modernizes 20-year-old enterprise systems with Claude
### How Blank Metal, a lean professional services firm, runs on Claude Cowork
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## aes-claude-platform-api-case-study-claude-by-anthropic-e66f1b5877.md
# AES accelerates renewable energy adoption with Claude on Google Cloud
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Large
Product:
Claude Platform
Partner:
Google
Location:
North America
96% faster
audit results generation
10-20% increase
in audit accuracy
AES, a global energy company, uses Claude on Google Cloud to automate safety audits and accelerate their mission of transforming the future of energy. By leveraging Claude's advanced natural language processing capabilities via Google Cloud, AES has:
- Increased audit accuracy by 10-20%
- Generated audit results 96% faster
- Reduced audit costs by 99%
## The challenge of scaling renewable energy asset management
As AES transitioned to renewable energy, their success created a new challenge: how to efficiently manage and maintain a vastly more complex network of power-generating assets. Dr. Sean Otto, Senior Director of Data Science and Analytics at AES, explained the scale of this challenge, saying, "With traditional power plants, you might have one large turbine generating a gigawatt of power. But with wind energy, each turbine only generates 1.5 megawatts, so you need 75 to match that output. Instead of maintaining one piece of equipment, we're now managing 75 separate assets."
This exponential growth in assets required a complete reimagining of AES' safety and maintenance processes. The company conducts about 1,550 internal safety audits annually, typically performed by employees whose primary roles are not auditing. These audits, which could take up to two weeks to complete, were becoming an unsustainable drain on time and resources. AES needed an innovative solution that could dramatically reduce the effort required for audits while maintaining or improving their accuracy.
## Why AES chose Claude on Google Cloud
For AES, Claude's capabilities and Google Cloud's robust infrastructure were key to scaling their safety audit solution securely and efficiently. Security was paramount. Running Claude on Google Cloud provided the enterprise-grade security AES needed for their sensitive data. As Dr. Marwan Sherri, Data Scientist at AES, noted, "Integrating Google Cloud with Claude made it easier to get approval to start API calls. Because it's already integrated and all security issues are addressed."
Another critical factor was performance. Sherri highlighted the importance of speed and accuracy, saying, "Claude is accurate and quick. We need this process to be 100 times faster than a human." Claude's ability to follow instructions precisely was essential for AES' multi-agent framework, and its support for higher API call volumes enabled better synchronization of their agent system.
Integration was seamless since AES was already using Google Cloud. As Sherri explained, "We're very familiar with Google Cloud. To launch anything through Google Cloud, we need an API call integration so we can integrate the tool inside Google Cloud with the project-based configuration to solve related issues like permission levels or the service account." This familiarity accelerated development and deployment of their AI-powered safety solution.
## How Claude on Google Cloud powers AES's AI auditor
AES developed an AI-powered auditing system using Claude on Google Cloud to automate their internal safety audit process. The system consists of three layers of AI agents:
1. Document processing agents that analyze audit documents and create tasks
2. Task breakdown agents that simplify complex audit tasks
3. Report generation agents that compile results and produce final audit reports
This multi-agent system powered by Claude on Google Cloud can process hundreds of pages of safety documentation, evaluate compliance, and generate comprehensive audit reports.
By using Google, AES leverages Google Cloud's infrastructure for seamless deployment and scaling.
## Transforming safety and efficiency
AES improved their safety operations by integrating Claude on Google Cloud into their audit processes. Audit reports that took two weeks to complete can now be generated in about an hour. This 99% reduction in audit time allows AES to conduct more frequent and thorough safety checks across their expanding renewable energy assets.
The increased speed hasn't compromised quality. AES has seen a 10-20% improvement in audit accuracy. Dr. Sherri noted, "These agents can't make mistakes due to their focus on details." This accuracy contributes to AES' core value of safety, ensuring reliable protection for employees and assets.
The cost savings have been equally impressive, with audit expenses reduced by 99%. This reduction allows AES to allocate resources more effectively, potentially enabling greater investment in renewable energy expansion and innovation.
## Looking forward to AI's role in accelerating renewable energy
AES sees generative AI as a transformative force in the energy industry. Otto emphasized, "The power of GenAI is in process improvement." By using Claude to automate complex processes like safety audits, AES can redirect their focus to innovation and expansion in renewable energy.
Dr. Otto envisions AI driving positive change in a traditionally conservative industry, explaining, "AI is important because it's driving innovation and pushing people to question traditional ways of doing things. We're reimagining processes that have been unchanged for decades." With Claude's advanced capabilities on Google Cloud, AES aims to streamline operations, manage more renewable assets efficiently, and ultimately accelerate the world's transition to sustainable energy.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## ai-agents-claude-by-anthropic-da9e5e7770.md
# Make AI agents **your unfair advantage**
# Make AI agents **your unfair advantage**
With Claude, you can build AI agents that plan, act, and collaborate more effectively.
Start building
[Start building](https://platform.claude.com/)
Start building
[Contact sales](/contact-sales)
## Powerful, collaborative, and safe AI agents
Get superior reasoning and human-quality responses.
### Best model for AI agents
Claude outperforms other models in AI agent scenarios from customer support to coding.
### AI agents with a human touch
Claude’s conversational style leads to true collaboration between AI agents and users.
### AI that protects your brand
Claude ranks highest on honesty, jailbreak resistance, and brand safety.
Building effective agents
What the Anthropic Engineering team has learned from working with customers and building agents ourselves.
Read more
[Read more](https://www.anthropic.com/engineering/building-effective-agents)
Read more
3x
Reduction in code churn
## Build AI agents with the Claude Platform
Integrate Claude’s powerful AI capabilities into your apps and deliver production-grade agents faster.
Existing prompt
Classify all customer support tickets into the most relevant category.
Here is the list of categories to choose from:
{{CATEGORY_LIST}}
Here is the content of the support ticket:
{{TICKET_CONTENT}}
What would you like to improve?
Please include a rationale for the classification.
You are an AI assistant specialized in classifying customer support tickets. Your task is to analyze the content of a given ticket and assign it to the most appropriate category from a predefined list. You will also provide reasoning for your classification decision.
First, let's review the available categories:
\<category_list\>
{{CATEGORY_LIST}}
\</category_list\>
Now, here is the content of the support ticket you need to classify:
\<ticket_content\>
{{TICKET_CONTENT}}
\</ticket_content\>
Please follow these steps to complete the task:
– Carefully read and analyze the ticket content.
– Consider how the content relates to each of the available categories.
– Choose the most appropriate category for the ticket.
– Provide a detailed explanation of your reasoning process.
Use the following structure for your response:
\<classification_analysis\>
In this section, break down your thought process:
– Quote the most relevant parts of the ticket content.
– List each category and note how it relates to the ticket content.
– For each category, provide arguments for and against classifying the ticket into that category.
– Rank the top 3 most likely categories.
\</classification_analysis\>
\<classification\>
\<category\>Your chosen category goes here\</category\>
\<reasoning\>A concise summary of your reasoning for choosing this category\</reasoning\>
\</classification\>
Remember to be thorough in your analysis and clear in your explanation. Your goal is to provide an accurate classification with well-supported reasoning.
### Deliver more effective
AI agents
- Build agents and workflows with our API
- Test and refine prompts in the Workbench
- Build frontier capabilities into your agents
- Empower any developer to build AI agents
## Collaborate with Claude on coding tasks
Claude Code is an agentic tool. Developers work with Claude directly from their terminal, delegating tasks from code migrations to bug fixes.
Explore Claude Code
[Explore Claude Code](/product/claude-code)
Explore Claude Code
Explore for Enterprise
[Explore for Enterprise](/product/claude-code/enterprise)
Explore for Enterprise
## See why industry leaders
choose Claude
Start building
[Start building](https://platform.claude.com/)
Start building
See customer stories
[See customer stories](/customers)
See customer stories
“Claude Fable 5.1 is the most capable model we've run on CursorBench 3.2, scoring 73.4% at max effort. We found it especially skilled at verifying its own work, allowing it to take on difficult coding tasks from start to finish.”
Sualeh Asif, Director of ML
“As part of our ongoing evaluation of AI models, Claude Fable 5.1 delivered impressive results in our tests. Using Claude Code, it correctly identified the root cause of every broken build we tested, across all the effort levels. It also communicates more effectively than earlier Anthropic models, with updates that are more concise and easier to follow.”
Josh Boyer, Distinguished Engineer
“Developers want agents that can take on real software work and finish it. In our testing across GitHub Copilot CLI and VS Code, Claude Opus 5.5 used among the fewest tokens and steps we measured. In VS Code, it solved more terminal tasks than Opus 5 in less than half the steps. More than making individual tasks more efficient, it’s making developers’ bigger projects more achievable.”
Mario Rodriguez, Chief Product Officer
## AI agent resources
Start building
[Start building](https://platform.claude.com/)
Start building
[See how other companies are building AI agents with Claude](/customers)
See how other companies are building AI agents with Claude
See how other companies are building AI agents with Claude
Customer stories
[Customer stories](/customers)
Customer stories
[Building effective agents](https://www.anthropic.com/engineering/building-effective-agents)
Building effective agents
Building effective agents
Engineering at Anthropic
[Engineering at Anthropic](https://www.anthropic.com/engineering/building-effective-agents)
Engineering at Anthropic
[Get started with our API](https://platform.claude.com/docs)
Get started with our API
Get started with our API
Developer docs
[Developer docs](https://platform.claude.com/docs)
Developer docs
[Homepage](https://claude.com)
Homepage
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
[Anthropic](https://www.anthropic.com/)
Anthropic
© \[year\] Anthropic PBC
Products
- Claude
[Claude](/product/overview)
Claude
- Claude Code
[Claude Code](/product/claude-code)
Claude Code
- Claude Cowork
[Claude Cowork](/product/cowork)
Claude Cowork
- @Claude
[@Claude](/product/tag)
@Claude
- Claude Science
[Claude Science](/product/claude-science)
Claude Science
- Claude Security
[Claude Security](/product/claude-security)
Claude Security
- Download app
[Download app](/download)
Download app
- Pricing
[Pricing](/pricing)
Pricing
- Log in
[Log in](https://claude.ai/login)
Capabilities
- Artifacts
[Artifacts](/features/artifacts)
Artifacts
- Design
[Design](/product/design)
Design
- Connectors
[Connectors](/connectors)
Connectors
- Plugins
[Plugins](/plugins)
Plugins
- Skills
[Skills](/skills)
Skills
Extensions
- Claude in Chrome
[Claude in Chrome](/claude-in-chrome)
Claude in Chrome
- Claude for Microsoft 365
[Claude for Microsoft 365](/claude-for-microsoft-365)
Claude for Microsoft 365
Models
- Mythos
[Mythos](https://www.anthropic.com/claude/mythos)
Mythos
- Fable
[Fable](https://www.anthropic.com/claude/fable)
Fable
- Opus
[Opus](https://www.anthropic.com/claude/opus)
Opus
- Sonnet
[Sonnet](https://www.anthropic.com/claude/sonnet)
Sonnet
- Haiku
[Haiku](https://www.anthropic.com/claude/haiku)
Haiku
Enterprise
- Overview
[Overview](/solutions/enterprise)
Overview
- Claude Code for Enterprise
[Claude Code for Enterprise](/product/claude-code/enterprise)
Claude Code for Enterprise
Use cases
- AI agents
[AI agents](/solutions/agents)
AI agents
- Code modernization
[Code modernization](/solutions/code-modernization)
Code modernization
- Coding
[Coding](/solutions/coding)
Coding
- Commerce
[Commerce](/solutions/commerce)
Commerce
Departments
- Customer support
[Customer support](/solutions/customer-support)
Customer support
- Cybersecurity
[Cybersecurity](/solutions/cybersecurity)
Cybersecurity
- Legal
[Legal](/solutions/legal)
Legal
- Sales
[Sales](/solutions/sales)
Sales
Industries
- Financial services
[Financial services](/solutions/financial-services)
Financial services
- Government
[Government](/solutions/government)
Government
- Healthcare
[Healthcare](/solutions/healthcare)
Healthcare
- Higher education
[Higher education](/solutions/education)
Higher education
- K-12 teachers
[K-12 teachers](/solutions/teachers)
K-12 teachers
- Life sciences
[Life sciences](/solutions/life-sciences)
Life sciences
- Nonprofits
[Nonprofits](/solutions/nonprofits)
Nonprofits
- Small business
[Small business](/solutions/small-business)
Small business
Programs
- Startups
[Startups](/programs/startups)
Startups
- Scientists
[Scientists](/programs/team-plan-for-scientists)
Scientists
Developers
- Developer docs
[Developer docs](https://code.claude.com/docs/en/overview)
Developer docs
- Developer blog
[Developer blog](https://claude.dev/)
Developer blog
- Community
[Community](/community)
Community
- Console
[Console](https://platform.claude.com/docs/en/home)
Console
- Engineering at Anthropic
[Engineering at Anthropic](https://www.anthropic.com/engineering)
Engineering at Anthropic
Platform
- Overview
[Overview](/platform/api)
Overview
- Ecosystem
[Ecosystem](/ecosystem)
Ecosystem
- Marketplace
[Marketplace](/platform/marketplace)
Marketplace
- Claude on AWS
[Claude on AWS](/partners/claude-on-aws)
Claude on AWS
- Google Cloud
[Google Cloud](/partners/google-cloud)
Google Cloud
- Microsoft Foundry
[Microsoft Foundry](/partners/microsoft-foundry)
Microsoft Foundry
Resources
- Blog
[Blog](/blog)
Blog
- Claude partner network
[Claude partner network](/partners)
Claude partner network
- Claude Academy
[Claude Academy](https://academy.claude.com/)
Claude Academy
- Customer stories
[Customer stories](/customers)
Customer stories
- Events
[Events](https://www.anthropic.com/events)
Events
- Powered by Claude
[Powered by Claude](/partners/powered-by-claude)
Powered by Claude
- Service partners
[Service partners](#)
Service partners
Help and security
- Availability
[Availability](https://www.anthropic.com/supported-countries)
Availability
- Check files
[Check files](https://claude.com/check-files)
Check files
- Regional compliance
[Regional compliance](/regional-compliance)
Regional compliance
- Report abuse
[Report abuse](https://claude.com/form/anthropic-content-reporting)
Report abuse
- Security and compliance
[Security and compliance](https://trust.anthropic.com/)
Security and compliance
- Status
[Status](https://status.anthropic.com/)
Status
- Support center
[Support center](https://support.claude.com/en/)
Support center
Company
- Anthropic
[Anthropic](https://www.anthropic.com/)
Anthropic
- Careers
[Careers](https://www.anthropic.com/careers)
Careers
- Policy
[Policy](https://www.anthropic.com/policy)
Policy
- Research
[Research](https://www.anthropic.com/research)
Research
- Anthropic news
[Anthropic news](https://www.anthropic.com/news)
Anthropic news
- Policy on the AI Exponential
---
## airops-claude-platform-api-case-study-claude-by-anthropic-07fd35592b.md
# AirOps doubles team productivity and ships agents in weeks with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Startup
Product:
[Claude Platform](https://claude.com/platform/api)[Claude Code](https://claude.com/product/claude-code)[Claude Enterprise](https://claude.com/solutions/enterprise)
Location:
North America
2x productivity across the team
Internal consensus from org-wide Claude Enterprise and Claude Code adoption
Prototype to production in weeks
Agent SDK eliminated orchestration overhead, accelerating development velocity
[AirOps](https://www.airops.com/) helps marketing teams at Ramp, Kayak, Chime, Carta, and Rippling understand how their brand shows up in AI search and create content to win more visibility. Claude powers both sides of the platform—generating long-form content that meets a rigorous quality bar, and evaluating it before it ships. AirOps works with customers to measure AI visibility, find high-impact content opportunities, and produce outputs at scale. In the last year, AirOps 5x'd its revenue and doubled internal productivity, with engineering moving from prototype to production in weeks after adopting the Claude Agent SDK.
## With Claude, AirOps achieved:
- 2x productivity across the team, with individual employees reporting 20 to 40 hours saved per week through Claude Enterprise and Claude Code
- Org-wide adoption of Claude, including Claude Code for building internal tools and apps, shared design system skills, and Claude Enterprise as the daily operating environment across marketing, sales, and engineering
- Prototype-to-production timelines compressed from months to weeks after adopting the Agent SDK
- Measurable results for customers using the AirOps platform, including a 3x citation rate increase and 89% time reduction in content creation for Chime, and a 300% content velocity increase for Carta
## The challenge
## Balancing creativity, accuracy, and performance at scale
Great content needs to reflect a brand's voice, deliver genuine information gain for readers, and perform well in search to reach its intended audience. Most models struggle to hold all three requirements at once, and often fall short on quality or perform inconsistently as prompts grow more complex.
AirOps scores every piece of content against dozens of checks before it publishes: paragraph structure, source citations, whether the core answer appears in the first 150 words. The platform needed a model that could handle both sides: generating content that met these standards and evaluating content against them before publication.
"There is always a healthy tension in great organic content," Alex Halliday, AirOps CEO, explained. "It needs to be a balance between brand, performance, and information gain. Most models fail to strike that balance, either struggling with creativity or instruction adherence."
Building agents with the Claude Agent SDK
The Claude Agent SDK is a collection of tools that helps developers build powerful agents on top of Claude Code.
[Read more](https://claude.com/blog/building-agents-with-the-claude-agent-sdk)
## The solution
## Selecting Claude for voice consistency and coherence
AirOps benchmarks models against an internal quality framework that balances structure, accuracy, information gain, and discoverability. Claude consistently scored highest on the dimensions that matter most for marketing content.
"Opus consistently outperformed on what matters for marketing: natural writing, instruction following, and voice consistency across long-form content," Halliday said. "The team also found that Claude reliably handled complex requirements without losing coherence. That's a key factor for content workflows where a single generation step might involve brand voice guidelines, SEO constraints, competitive positioning, and factual grounding simultaneously."
AirOps also uses Opus and Sonnet models to help design and configure content workflows for customers within their platform.
## Building an agent runtime on Claude
Claude runs through AirOps as both the engine powering customer agents and as the tool the AirOps team uses to build and ship.
The workflow builder that powered AirOps' early customer results required a human to identify which page was underperforming, decide what to do, trigger the workflow, and verify the output. That works when you're updating dozens of pages, but most teams need to scale to thousands of pieces of content across multiple brands, channels, and competitive contexts that shift daily.
To help teams meet that scale, AirOps' product shifted from workflow tool to agent runtime, built on Claude and the Claude Agent SDK. AirOps started with Claude's API for content workflows, then adopted the Agent SDK to push further. AirOps agents use "playbooks": execution instructions that give agents dynamic, adaptive behavior. Claude interprets the playbook, decides which AirOps tools to call, and executes across sections rather than following a rigid sequence. Sub-agents from the SDK handle specific subtasks like research, drafting, and evaluation with isolated context windows.
"Sub-agents are a must-have for managing the context window," Halliday noted. "Context management has been the single biggest thing that improved our quality."
Hooks let them add determinism and validation at specific points in a workflow while keeping autonomous behavior elsewhere.
On top of the SDK, AirOps built a governed environment that controls what the agent knows, how it plans, what it can act on via MCP, what brand and quality rules it follows, and how it coordinates with other agents and humans.
"Prompts are portable," Halliday explained. "Any team can copy a good prompt. The harness that governs how agents operate, the brand context they draw from, and the decision history they accumulate? That provides compounding value to customers."
AirOps went from initial SDK prototype to production in weeks. "Previous orchestration frameworks were brittle. Setup decisions sometimes required full refactors, and testing different configurations took enormous effort," Halliday said. "Development with the SDK was straightforward and more powerful. Time to quality went from 60 hours to 5 hours."
The SDK also changed how the engineering team spends its time. The team now spends that reclaimed time refining outputs and catching edge cases before customers hit them.
"Before, we spent a lot of time rerouting LLM calls, updating schemas, and dealing with orchestration configurations whenever we made changes," Halliday said. "Now we focus on output quality and the human-to-agent experience."
Introducing Agent Skills
Claude can now use Skills—folders with instructions, scripts, and resources—to become a specialist at specific tasks when you need it.
[Read more](https://claude.com/blog/skills)
## The outcome
## 2x productivity and a new way of working
When AirOps polled their team on Claude's impact, the responses were specific. One team member reported completing two weeks of work in one week. Another described spending 15 to 20 hours per week in Claude Enterprise alone, plus 40 hours weekly in Claude Code. The consensus across the team was a 2x increase in productivity, with individual savings ranging from 20 to 40 hours per week.
Internally, AirOps built an org-wide skill that encompasses their full visual and web design system. Any team member can now generate on-brand assets, slide decks, and one-pagers without filing a design ticket. The AirOps MCP connector gives every employee direct access to brand voice and visual guidelines, product knowledge, and knowledge base content during creation. Infrastructure that would have taken months to build manually was embedded in daily workflows within a single quarter.
For customers on the AirOps platform, Chime saw a 3x citation increase with a 89% time reduction in content creation. Carta 4x'd quarterly top-of-funnel output (5 to 20 articles) with a 75% citation rate on AirOps-built pages. LegalZoom cut Reddit response workflows from 48 hours to under 30 minutes.
## Looking ahead
AirOps' agent runtime is currently in alpha with customers including Ramp, Carta, Klaviyo, LegalZoom, Xero, Vanta, and AssemblyAI, with general availability planned for May 2026. AirOps is building toward a future where their agents move from surfacing gaps in AI search visibility to acting on them autonomously, with the right human checkpoints built in.
"We're building toward a world where an agent identifies an underperforming page, drafts updated content grounded in brand voice, and publishes it, with a human only needing to confirm strategy and provide edits when needed," Halliday added. "Claude is central to that vision."
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## airtree-claude-cowork-case-study-claude-by-anthropic-b93531d220.md
# How a \$2 billion venture fund made Claude Cowork its shared firm infrastructure
[Try Claude](https://claude.ai)
Cowork
Give Claude access to your local files and let it complete tasks autonomously. Agentic capabilities for non-technical knowledge work.
[Read more](/product/cowork)
Airtree is a venture capital firm backing founders in Australia and New Zealand, with \$2 billion in funds under management and a portfolio of 130+ companies including Canva, Airwallex, and Linktree. We spoke with Jackie Vullinghs, Partner at Airtree, about how the fund rolled out Claude Cowork across teams and built it into shared firm infrastructure. The following conversation has been edited for length and clarity.
**Anthropic: Before Claude Cowork, what was creating the most friction in how your team worked day to day?**
**Jackie Vullinghs, Airtree:** Our biggest operational pain point wasn't access to information; it was that it was scattered across many tools. Google Workspace, Slack, Notion, Affinity, Sigma, Webflow, Typeform, Canva. We had everything we needed to produce board reports, portfolio updates, market research, and marketing materials. In practice, pulling data and synthesizing insights across platforms was slow, fragmented, and inefficient.
We'd made ad-hoc dashboards, created new Slack channels, consolidated reporting, and tried new ways of working to share context and avoid duplication. But inevitably we're still missing a trick when it comes to seamlessly connecting with and utilizing all the information, data, insights, and existing materials at our disposal.
We pride ourselves on moving fast with conviction, coming well-prepared for meetings so we can focus on building relationships with founders. When you're digging through fragmented data, trying to find the right file, and doing individual research for each of the eight back-to-back meetings you have that day, that's all time that could have been spent on deeper diligence, tailored portfolio support, and getting to know founders.
**Anthropic: How did the team first start using Claude, and what made you decide to roll Cowork out fund-wide?**
**Vullinghs:** We're a bunch of builders and tinkerers who love to play around with new tools, so when Cowork came out in January, lots of the team were quick to jump on it. Over the winter break, a few employees got hooked on Claude Code. They saw dramatic improvements in productivity when creating Skills to automate routine tasks and do the things on their to-do list that never got done. Onboarding the whole team to the terminal felt hard, though.
When Claude Cowork launched, the accessible UI made it easy for the team to onboard and reach their "a-ha moment." Our Data Lead built a one-hour course tailored to our different functions. Each step compounded. We started with the basics, connected tools we already used, and built up to creating Skills. By the end, the team's reaction was genuinely enthusiastic, unlike typical tool rollouts. Not "this seems useful" but "this is going to change how I work."
We saw that using Cowork across teams multiplied its value. Skills built by one person could be used by everyone. Cowork became shared firm infrastructure rather than just an individual productivity tool.
**Anthropic: Had you evaluated other AI tools before landing on Cowork?**
**Vullinghs:** We'd spent a year exploring various AI and automation tools, but seats and subscriptions quickly add up, especially when only used for one step in the workflow rather than end to end.
The real turning point was watching people in our investment and operations teams, who aren't technical but are curious enough to vibe code on the weekends, start using Claude Code seriously and seeing meaningful productivity gains from automating the repetitive tasks in their week. The capability was there, but bringing it to the rest of the organization through the terminal was a technical barrier we needed to remove.
Cowork provided that. We didn't want to retrofit how we work around a new tool, and Cowork meets the team where they already are, in Google Docs, Granola, and Slack.
**Anthropic: Walk us through a workflow that's become part of the team's regular routine.**
**Vullinghs:** We created a board meeting preparation Skill that reads all the board materials in a portfolio company's Google Drive folder, searches Slack for company references and updates, browses the web for recent competitor news and market developments, and looks at the public market comparables in its competitor set. From there, it cross-references this information against the previous board preparation to track what's changed, what commitments were made, and what's outstanding.
We have another Skill that pulls in company-specific insights, adding business model context, key financial metrics, the competitor set, and recurring watch items specific to that company.
We use our Board Summary Skill to cross-reference the notes captured during the board meeting with the prep documents to identify items that were covered and outstanding. Two key outputs after the board meeting are a Slack summary and a detailed meeting record. When the user says "Send," a roughly 250-word summary is sent to a Slack channel. The meeting record acts like an analyst agent, updating the board prep with everything we learned and saving it to the relevant Google Drive folder.
**Anthropic: Where has Cowork had the most impact on the investment workflow?**
**Vullinghs:** The judgment, conviction, and founder relationships that define great venture investing will always be human, but that's why automating the knowledge work that consumes most of an investor's week matters so much. Every hour spent on research and preparation is an hour not spent with a founder.
Cowork has had the most impact on tasks with a narrow, explicit scope that we do routinely, like meeting preparation. The value of AI in a workflow like ours isn't replacing judgment; it's in protecting the time and space for it.
**Anthropic: What concrete results has the team seen?**
**Vullinghs:** For our investment team, market and competitor research that would have taken two days can now be done in minutes. Board meeting summaries that took 30 minutes to write are now done in two minutes. Pre-meeting research that takes an hour a day is now done in minutes.
Our marketing team saves two hours a month on reporting. We provide Cowork CSVs of results from our platforms that are used to populate our reporting dashboard and to share a summary of key insights, like month-over-month comparisons, for the team to discuss. We spend less time creating reports and more time analyzing insights and exploring how we can iterate on and improve our strategy.
**Anthropic: What can Airtree do now with Cowork that genuinely wasn't possible before?**
**Vullinghs:** We've always punched above our weight, whether that be on the volume of pitches we review, the inbound we manage, or the LP relationships we maintain. Getting that done to the quality standard we hold ourselves to has always involved significant manual work. Using Cowork hasn't changed what we do but it has changed what we can do with the time it gives us back in our day.
The clearest example is founder meetings. We meet thousands of companies every year, and our company research Skill means we can go deep from the very first conversation rather than spending it on introductions. Our founder surveys tell us they choose Airtree because of the depth of our relationships and understanding of their business, and Cowork is a tool we use to reinforce that.
**Anthropic: What's surprised you about how people across the firm have picked up Cowork?**
**Vullinghs:** The team self-organizes around building new Skills and workflows, rather than waiting to be shown what's possible.
Our Head of People created a detailed prompt to help people write their self-reviews. We track goals, metrics, and one-on-ones in Notion alongside our performance framework. Cowork triangulates that context to form a view of performance, wins, and areas for improvement calibrated to our frameworks and goals. The result: we spend more time on reflection and better feedback conversations, not on the writing itself.
Our Head of Marketing and Comms took a dense media briefing document and turned it into an interactive quiz app for spokesperson interview preparation that pulled out key messages, insights, and data points to prompt the spokesperson to think through their responses rather than just passively read a brief.
**Anthropic: You've connected Cowork to a lot of tools the team already uses. What's been the biggest win?**
**Vullinghs:** We've connected Cowork to most of the tools the team relies on day to day: Notion, Slack, Google Drive, Affinity, Gmail, Granola, Harmonic, Canva, and Webflow. The biggest wins have come from making it easy to surface information that was previously siloed across those systems.
We've found that Claude Cowork's value scales with the number of systems you connect it to. I've built a personal CRM with Claude Code that is connected to Cowork through a custom MCP, so others on the team can query it.
**Anthropic: Airtree handles sensitive information across the investment lifecycle. How does Cowork fit within those requirements?**
**Vullinghs:** We need to be deliberate and transparent about how AI is used in our workflows, especially when handling sensitive information. Key to this is ensuring the people whose information we hold know there's always a human in the loop when it counts.
All content generated by Claude Cowork must be verified and reviewed by a human before it’s used for decision-making or published. Cowork underwent an initial assessment by our IT Security, Risk and Compliance managers before use, and we maintain a record of usage for accountability. All users complete training on responsible AI use, with our IT and Security Manager providing ongoing guidance to ensure we meet our obligations to protect sensitive data.
**Anthropic: You published your internal Cowork onboarding course through Airtree's Open Source VC library. What response have you seen?**
**Vullinghs:** Open Source VC is built on a simple idea: anything that helps founders shortcut company-building firsts is worth sharing openly. We published our internal Claude Cowork onboarding course so any team could use it. At the time of writing, it's been downloaded 700-plus times from individuals at startups, scaleups, other funds, legal firms, and huge enterprise companies. It's a useful reminder that the desire to get up to speed on these tools cuts across company stage, sector, and roles.
**Anthropic: Where do you see the most untapped potential for Cowork at Airtree?**
**Vullinghs:** We are just scratching the surface. We planned an internal hackathon where the team pitches Cowork workflows to build. Some of the ideas so far include a portfolio snapshot portal that gives anyone in the firm an instant read on a company's performance and key updates, a travel briefing tool that automatically compiles everything you need to know about the meetings and events in your itinerary, and automating our fund analysis reporting to capture movements across periods, explaining what drove changes and producing summary reports needed for quarterly and half-yearly reviews.
How to create Skills
Follow our step-by-step guide to write custom skills that extend Claude's capabilities with real examples and practical patterns.
[Read more](https://claude.com/blog/how-to-create-skills-key-steps-limitations-and-examples)
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## alexa-claude-platform-api-case-study-claude-by-anthropic-204b6d91c1.md
# Claude and Alexa+
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Large
Product:
Claude Platform
Location:
North America
U.S. rollout
starting in the next few weeks, with wider availability coming
Best-in-class
jailbreaking resistance and advanced safety capabilities
Today, we're announcing that Claude models are helping power Alexa+. This collaboration is part of our ongoing partnership with Amazon to deliver advanced AI technology to businesses and consumers around the world.
Teams from Amazon and Anthropic worked closely throughout the past year. Our Chief Product Officer, Mike Krieger, led a team that helped Alexa+ to get the full benefits of Claude's capabilities.
Consistent with Anthropic's commitment to trust and safety, Alexa+ is able to take advantage of our best in class capabilities, such as our advanced jailbreaking resistance.
Alexa+ accesses Claude through Amazon Bedrock. It will start rolling out in the U.S. in the next few weeks, becoming more widely available in the coming months.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## amazon-connect-claude-platform-api-case-study-claude-by-anthropic-fe5b67ca8b.md
# Amazon Q in Connect transforms customer service for agents and customers with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Large
Product:
Claude Platform
Partner:
AWS
Location:
North America
61 languages
supported without additional training
10-15% time savings
on every customer contact
Amazon Connect uses Claude to power their AI-driven customer service assistant, Amazon Q in Connect, that serves two critical groups: customer service agents who need real-time support to resolve complex issues, and end-customers seeking immediate self-service across voice and digital channels.
With Claude, Amazon Q in Connect:
- Empowers agents with real-time AI assistance to handle complex cases
- Provides end-customers with instant, personalized self-service options
- Supports customer service in 61 languages without additional training
- Helps customers like Orbit achieve 10-15% time savings on every contact
## Meeting the needs of agents and customers
Amazon Q in Connect addresses two fundamental challenges in customer service: how to help agents efficiently handle complex support requests while maintaining quality, and how to give end-customers immediate answers without long wait times. Support teams face mounting pressure, with agents spending significant time searching through documentation and disparate applications while customers wait for answers.
"Amazon Connect has always had self-service solutions. Since day one, we've aimed to integrate AI to improve both the agent and customer experience with faster resolutions, avoiding unnecessary escalations, and resolving issues on the first contact," said Jack Hutton, Principal Product Manager for Amazon Q in Connect. While traditional AI works well for certain scenarios, more complex interactions involving language nuances and ambiguous questions can benefit from more sophisticated AI capabilities, allowing organizations to better support both their agents and customers when needed. The team needed a more sophisticated solution that could both assist agents and directly serve customers.
## How Claude powers personalized support experiences
Amazon Q in Connect leverages Claude to enhance customer service:
For Agents:
- Real-time AI assistance for handling complex customer inquiries
- Automated documentation search and relevant information surfacing
- Suggested responses based on customer context and history
- Recommended actions for the agent to take
For End-Customers:
- Instant, conversational self-service options across multiple channels
- Natural language understanding to disambiguate complex customer issues
- Personalized responses and recommendations based on their history and context
- Seamless handoff to agents when needed
Shared Capabilities:
- Real-time response analysis that automatically identifies customer intent
- Multi-turn disambiguation that clarifies complex needs through dialogue
- Customizable prompt templates for unique voice, policies and workflows
## Transforming experiences for agents and customers
Integrating Claude has improved support operations on both sides. "For one customer pilot, their average handle time actually increased. But this is because agents who normally would just transfer away hard contacts could now solve them," said Jack Hutton, Product Manager at Amazon Q and Connect. The impact extends beyond just handle times—businesses like Orbit have reported 10-15% time savings on every customer contact through AI-assisted support.
For end-customers seeking support, this means faster and more consistent experiences. Instead of waiting 30 minutes for answers, they receive instant, personalized responses based on their full context and history. When they do need to speak with an agent, they connect with someone better equipped to help thanks to AI assistance, avoiding transfers and repeat explanations.
### Building the future of AI-powered customer service
Amazon Q in Connect is transforming customer service by handling routine inquiries while enabling human agents to focus on complex problem-solving and relationship building. "Businesses will use generative AI, Q included, to tackle ambiguous and highly-fluid self-service use cases. This enables human agents to focus on complex issues that require expertise, enhancing customer satisfaction and employee development," said Hutton.
Through this dual focus on empowering agents and serving end-customers directly, Amazon Q in Connect with Claude is transforming how businesses deliver customer service, making it more efficient and effective for everyone involved.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## amira-claude-platform-api-case-study-claude-by-anthropic-7e1571248f.md
# Amira helps millions of students master reading with the Science of Reading and Claude
[Try Claude](https://claude.ai)
Industry:
Education
Company size:
Small
Product:
Claude Platform
Location:
North America
10 billion words
read aloud and analyzed worldwide
70% faster
reading growth for students
Amira Learning uses Claude to power key new features of their AI reading technology, helping millions of students develop reading comprehension skills and background knowledge through individualized, conversational learning experiences.
With Claude’s assistance, Amira:
- Listens to and understands students with any accent or dialect. Amira has listened to more than 10 billion words read aloud worldwide.
- Decides, in the moment, how to coach a student, providing hundreds of science-based interventions that support reading growth.
- Implements voice-based AI dialogues and comprehension conversations for elementary students
## Advancing Comprehension: A Complex but Critical Step in Reading Development
As Ran Liu, Chief AI Scientist at Amira, explains, “Reading proficiency is a critical challenge in education, with millions of students struggling to develop the comprehension skills essential for academic and life success.”
Amira addressed this challenge by designing an AI-powered reading assessment and personal tutoring technology with advanced children’s speech recognition. While Amira excelled for years at teaching foundational word recognition skills, opportunities remained to enhance instruction and tutoring on comprehension—understanding meaning, making inferences, and connecting ideas—and knowledge building through reading.
"When LLMs emerged, we saw an opportunity to expand our AI capabilities to teach reading comprehension in a dynamic and natural way, just like an expert human tutor would,” said Liu. The challenge was to create AI that could engage students in sophisticated educational conversations about texts while maintaining strict safety standards for young learners. This required intersecting cutting-edge technology with deep pedagogical expertise.
## Why Amira chose Claude
Amira selected Claude after rigorous testing revealed its superior performance for educational applications. "We conducted extensive benchmarking across a variety of commercial and open-source models and found that Claude performed exceptionally well," said Liu. The model consistently earned high scores from human content experts who evaluated the quality and educational value of its generated dialogues, making it the clear choice for Amira.
In Amira's selection process, safety was equally important. Liu noted, "We know Anthropic prioritizes safety and accuracy in their models. Amira operates on private, secure AI systems. The data students generate stays within our secure infrastructure and is not accessible by external AI providers. When a student uses Amira, their data is never shared with or used to train any public AI models or third-party foundation models,” emphasizing how critical this is when developing technology for young students.
Claude's leading language capabilities further distinguished it from competitors. Liu explained, "Claude has consistently performed well with language tasks, making it well-suited for the dialogues that power comprehension tutoring in Amira.”
## How Claude powers Amira's reading comprehension
Amira uses Claude to enhance reading comprehension in several ways:
- **Generating comprehension dialogues**: Claude powers experiences where Amira asks students thoughtful questions about passages they've read, focusing on skills aligned with educational and state standards.
- **Content analysis**: Claude analyzes texts to match specific comprehension skills with appropriate passages. For example, it might select a story with a vivid and rich setting to exercise the skill of explaining the influence of the setting on the plot.
- **Creating instructional content**: Claude generates questions, hints, and response pathways that maintain pedagogical rigor while ensuring an individualized learning experience.
“We use a closed-loop system where Amira selects from a curated set of dozens of possible responses after each student turn,” Liu explained. “These responses are pre-generated and carefully reviewed offline using Claude. This design enables dynamic and engaging interactions while maintaining strict control over educational quality and safety. Importantly, Amira never does public LLM inference during student sessions. We are fully FERPA-compliant and committed to protecting student data—we do not send identifiable information to any external machine learning services.”
## Transforming reading education with AI-powered conversations
Claude has strengthened Amira’s ability to develop students’ comprehension skills through responsive, research-based instruction. Teachers have shared enthusiastic feedback about how effectively Amira engages with students and adapts to their needs in real time. Liu noted, "Teachers are amazed that Amira can understand and respond to their students appropriately. It makes students feel heard and provides excellent modeling of responses."
Multiple independent research studies demonstrate that Amira drives far greater reading growth than other leading reading technologies. Students reading with Amira experience 70% faster reading growth and a minimum of 7+ extra weeks of growth in one school year.
For students, these AI-powered dialogues provide scaffolding where they need improvement, helping them build understanding of specific passages while developing broader comprehension skills.
## Building the future of AI in education
Liu envisions AI supporting educators rather than replacing human teaching, noting "We need to work closely with teachers, administrators, and literacy coaches – the people who are closest to the students. AI should assist teachers, and teachers’ needs should drive the use cases of AI."
Amira plans to continue enhancing their technology with Claude's capabilities, particularly by training the LLM to exercise more Science of Reading expertise. Liu shared, "Developing a Claude model with deep science of reading expertise would be transformative," noting this could significantly enhance multiple aspects of the product.
By combining the science of reading with the power of AI, Amira and Claude are equalizing access to effective literacy instruction and opening doors for millions of young students. In a world where literacy is fundamental to success, this collaboration embodies the promise of educational equity through the thoughtful application of AI.
## Related stories
### MagicSchool on building a safety layer for millions of student conversations
### How Syracuse University deployed Claude to every student, faculty member, and staff
### Why Syracuse University gave Claude to 30,000 students, faculty, and staff
### RileyBot creates safe AI learning experiences for students with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## anything-claude-platform-api-case-study-claude-by-anthropic-066bc5ee6f.md
# Anything builds coding agent for 1.5 million users with Claude Agent SDK
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Startup
Product:
Claude Platform
Location:
North America
800,000+ apps
created in five months
91-96% agent success rate
with complex product builds from databases to App Store deployment
A non-technical founder built and is already selling a full recruiting platform. A creator with no engineering background published a social app to the App Store. Across [Anything's](https://anything.com) platform, 1.5 million users are turning ideas into working software products without writing code. Anything’s AI agent, powered by Claude and the Agent SDK, handles the full build: databases, backend logic, mobile deployment, App Store submission, and payments.
## With Claude, Anything achieved:
- 800,000+ apps built in the last five months by users, many of whom have never written code
- 91-96% agent success rate—measured by completion rates, agent self-reports, and user feedback—with complex product builds from databases to App Store deployment
- Evolution from simple single-page tools to full-stack, multi-platform applications with backends, mobile apps, API and AI integrations, and product paywalls
- Implementation in days rather than weeks
- Internal adoption of Claude across support, inbound sales, product feedback analysis, and codebase improvement
## The challenge
## Closing the gap between idea and working product
The goal of helping non-technical people create software predates Anything's current stack. Before Claude, the models they relied on were prone to outages. The team ended up building multi-stage code generation pipelines—calling separate agents to produce code and manually splicing it in—and relying on RAG pipelines to locate relevant code and package documentation, leaving little room to focus on the actual product. Single-page applications were achievable. But a production-quality product with databases, integrations, and mobile deployment was a different problem entirely.
Serving a non-technical audience raised the bar further. The agent couldn't just produce code: it needed to handle complex workflows reliably, correct its own errors across long building sessions, and maintain quality throughout. "It was unclear how to go from simple tools to something much deeper," says Marcus Lowe, co-founder of Anything. “Once AI models reached the level of reliable instruction following, parallel tool-calling, and consistent tool reliability, it became clear how it could fit into our stack and help us evolve from simple solutions to something that could support more complex product creation.”
Choosing the right Claude model
Learn when to use Haiku, Sonnet, or Opus to get better results and stay inside your rate limit. A practical guide to picking the right Claude model.
## The solution
## Why Anything chose Claude
Anything ran structured evaluations across several criteria: compliance with user instructions, ability to build relatively complex applications, performance across many rounds of tool calling and error correction in long conversations, and precision and recall with minimal hallucinations. "Claude models came out on top in those evaluations, so they became the best fit for our agent architecture," Lowe said.
The evaluation went beyond raw generation quality. Anything's architecture gives the agent full visibility into the user's stack, including runtime behavior, not just the codebase. That design requires a model with strong tool calling, reliable reasoning across many steps, and consistent coding quality. “Anthropic's specific focus around coding abilities is what drove Claude to the top for us,” said software engineer Ahmad Jiha. “The warmth and personality of Claude models resonates with our users. That's why we default to Claude in the product.”
Claude's performance in those areas let the team shift their focus from keeping the AI functional to launching a better agent experience. "Reliability at scale was also important, and that allowed us to focus more on building the agent and solving the full user job rather than just making the AI function,” Lowe said. “The warmth and personality of Claude models resonates with our users. That's why we default to Claude in the product.”
Built with the Agent SDK, the team had Claude integrated in a day. Opus 4.6's performance was strong enough from the start that they didn't need the weeks of testing and iteration they'd typically budget for a new model.
91-96%
agent success rate
## The outcome
## From prompt to a published app
Claude runs throughout Anything's stack: the core product-building agent, subroutines within it, and internal processes that improve development workflows. What distinguishes Anything from simpler code-generation tools is scope. Rather than producing isolated snippets, the agent handles entire product-building workflows end to end.
"There is a baseline level of quality needed to move from simple or single-page applications to multi-page, full-stack apps that integrate many libraries and cover a wide range of use cases," Lowe said. In practice, that meant unlocking full-stack, multi-platform applications with backends, mobile apps, API and AI integrations, and product paywalls. "Claude helped us reach that level of quality, which allowed us to support much more complex applications and deliver a better overall user experience."
The results show up in what users ship: Shane, a non-technical founder, used Anything to build PipelinePro, a recruiting ATS and client-intelligence platform with Zoho Recruit sync, candidate scoring, AI interview bots, and a client portal. He's already demoing and selling to customers. Laurent, a French film director, launched Telefan, a streaming app helping people discover thousands of hard-to-find French TV films, with voice-driven discovery. A user with no engineering background built The Collective, a social app for making friends and meeting people in the Philadelphia area. Another user is creating an AI radio station where listeners can generate music through the ElevenLabs API and earn royalties when their tracks are played, with a discovery marketplace in development.
In the last five months alone, users have built more than 800,000 apps, with the agent maintaining a 91-96% success rate as measured by generation completion rates, agent self-reports, and in-product user feedback. Beyond the customer-facing product, Anything uses Claude internally to power agentic workflows across support, inbound sales, product feedback analysis, and improving parts of the company's own codebase with Claude Code.
## Looking ahead: Long-running agents at scale
Anything is building toward more advanced agents capable of massive parallelization and long-running processes. The team expects user-built apps to increasingly become self-improving as the agents grow sophisticated enough to handle complexity that users previously managed themselves.
"We're building toward agents that can work on multiple parts of a product simultaneously," Lowe said. "We're just seeing the beginning. The apps our users build will start improving themselves."
Building agents with the Claude Agent SDK
The Claude Agent SDK is a collection of tools that helps developers build powerful agents on top of Claude Code.
[Read more](https://claude.com/blog/building-agents-with-the-claude-agent-sdk)
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## apollo-claude-platform-api-case-study-claude-by-anthropic-cc4d7aeaa4.md
# Apollo accelerates outbound sales at scale with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
35% boost
in meeting bookings with Claude messaging
5M+ messaging
actions per month
Apollo helps thousands of sales teams convert prospects more effectively by combining AI-powered personalization with an end-to-end sales engagement platform.
## **With Claude, Apollo has enabled:**
- 35% boost in meeting bookings when leveraging Claude-powered messaging
- 15% increase in customer retention rates
- 5M+ Claude-powered messaging actions per month
- 76% preference rate for Claude-powered messages in blind testing
- 80% reduction in email writing time for sales reps at FLO EV Charging
- 40% decrease in prospecting time for account executives at Qualytics
## Transforming traditional sales outreach
Sales engagement platforms have long helped companies find, engage, and convert prospects. However, scaling personalization without sacrificing quality remains elusive. Apollo faced this challenge head-on, supporting thousands of customers from startups to enterprise teams needing genuine and relevant outreach, not generic and impersonal.
With the emergence of large language models, Apollo recognized an opportunity to transform how sales teams communicate. Tyler Phillips, AI Product Lead at Apollo, explained, "When LLMs came on the scene, it unlocked three things for us: Improving the underlying data layer for better lead discovery, enabling smarter prospect research, and fundamentally enhancing the quality of sales messaging.”
Early experiments with other AI models fell short. Competing LLM providers offered AI capabilities, but Phillips noted that "the technology can be very powerful, but it's not very accessible." For Apollo's user base, who "don't want to spend all day thinking about outbound," the writing quality of initial AI implementations wasn't there.
## Testing reveals Claude as the superior writing model
Apollo's path to Claude started with a systematic evaluation. Phillips, who personally chose Claude for his own writing, designed a rigorous test to identify the best model for their platform.
"We conducted a blind test, evaluating models across four metrics: accuracy, clarity, relevance, and tone," Phillips said. Despite initial concerns about costs due to their high messaging volume, the results were decisive.
Claude 3.5 Haiku emerged as the clear winner, achieving a 76% preference rate among Apollo users—significantly outperforming competitors. "Haiku had the highest preference rate by far," Phillips explained. The impact wasn't just theoretical. "When we deployed it in production, we saw a drastic retention spike, from 20% to 23%, solely driven by the model change."
## Building intelligent sales workflows powered by Claude
Apollo's integration of Claude goes beyond simple message generation. The implementation weaves multiple data sources together, creating personalized outbound messages that resonate with prospects.
Claude powers several critical components:
- **AI Copywriter Model**: Claude 3.5 Haiku generates all AI-driven outbound messages, from personalized emails to follow-up sequences. When users click to create a message, Claude crafts compelling copy tailored to each prospect's industry, role, and interests.
- **Signal Aggregation**: Claude combines data from Apollo's database with external signals like recent news, company events, and hiring patterns. This creates messages referencing timely, relevant information about each prospect.
- **Voice and Tone Matching**: Claude learns each salesperson's unique writing style and adapts all generated content to match their authentic voice and preferred tone by analyzing samples of users' past successful emails.
- **Messaging Templates**: All of Apollo's pre-built sales templates use Claude for dynamic content generation. Whether using a cold outreach template or a re-engagement sequence, Claude ensures each message feels personalized rather than templated.
"We use external tools to pull signals and our internal data, then Claude aggregates them to generate messages in your tone and voice, relevant to the target persona," Phillips said. "It functions as our intelligent aggregation model."
## Driving measurable impact for sales teams
Claude's AI messaging directly impacts Apollo's performance metrics. Apollo customers using Claude-powered AI messaging book more meetings than those who don't.
"Sales reps using Claude power-up messaging book 1.35x more meetings than reps using traditional email methods," Phillips reported.
Sales representatives report significant efficiency gains across the board. Dan Vovan at FLO EV Charging found "Apollo's email creation tool cut my writing time by 80%." Conner Eagleton at Qualytics saw similar results: "Apollo's AI prospecting tools cut my prospecting time by almost 40%."
The impact extends beyond efficiency. Jesse D'Agostino from Growth Marketing Firm captured the broader benefit: "Apollo.io's AI Copywriter tool has saved me countless hours by actually writing emails that get responses. My engagement rates jumped about 20% with key accounts since implementing these tools."
## Envisioning an AI-enhanced sales future
The future Apollo envisions keeps humans at the center. "I believe in human plus AI versus replacing humans," Phillips said. "We're creating a cohesive end-to-end experience where Claude acts as your teammate."
The company is pushing beyond simple automation toward genuine assistance. Their next frontier involves building an agentic system that can execute actions through Apollo's APIs, answer product questions, and guide users through complex workflows.
While others race toward automation, Apollo doubles down on augmentation—making sales professionals more effective without replacing the human insight that drives successful selling. With Claude, they're bringing sophisticated writing capabilities to tens of thousands of sales professionals who need to scale personalized communication without losing the personal touch.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## appfolio-claude-platform-api-case-study-claude-by-anthropic-080d98b92c.md
# AppFolio streamlines property management communication with Claude in Amazon Bedrock
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Medium
Product:
Claude Platform
Partner:
AWS
Location:
North America
3x adoption
rates due to Claude 3 Haiku's faster response times
11 hours weekly
saved by property managers on communications
AppFolio, a technology leader powering the future of the real estate industry, uses Claude in Amazon Bedrock for AI-assisted responses and task automation across Realm-X, the embedded generative AI solution within its platform. This helps its property management customers save time on routine communication while maintaining secure and professional service for the over eight million residents they serve.
With Claude, AppFolio was able to:
- 3x adoption rates due to Claude 3 Haiku's faster response times
- Help property managers save an average of 11 hours weekly on communications
- Process over half a million AI-suggested responses
- Reduce message response time by an average of 26 seconds
## Meeting the unique challenges of modern property management
Property management teams face a complex web of daily communications, from urgent maintenance requests to sensitive policy discussions. A single interaction might require checking lease terms, verifying maintenance history, and coordinating with multiple vendors—all while maintaining a professional tone. According to Teddy Ho, Principal Product Manager at AppFolio, property managers spend up to half their workday on communications with residents, owners, and vendors.
Managing these communications requires more than just quick responses. Property managers must maintain detailed records of every interaction, understand complex residential histories, and make quick decisions about maintenance dispatch. A simple maintenance request might require checking for duplicate tickets, reviewing maintenance history, and coordinating vendor schedules—ensuring clear, professional communication with the resident. With thousands of these interactions happening monthly, property managers needed a way to maintain quality while scaling their response capabilities.
## AppFolio's journey to AI-powered property management
AppFolio's adoption of Claude builds on years of AI investment and innovation. "We've been investing in AI for over five years now, starting with traditional ML," said Christfried Focke, Chief Scientist. "About three years ago, we started investing in a platform approach to democratize AI across all our product development teams."
This platform-first strategy proved crucial when generative AI emerged. By centralizing critical functions like ML ops, security, and data governance, AppFolio created a foundation that any team could leverage safely. "It's made it less onerous on our developers who may not be ML experts," explained Focke. "They can now implement AI in a safe and sustainable way, which has really accelerated our impact to customers."
To further enhance their AI capabilities, AppFolio chose to implement [Claude through Amazon Bedrock](https://aws.amazon.com/bedrock/claude/). "The security part is very important, as well as being able to test models quickly," said Focke. "Amazon Bedrock lets us test new models the day they're released. It's become an essential part of our development process." This centralized infrastructure, combined with Amazon Bedrock's broad set of capabilities, allows AppFolio to rapidly test and deploy new AI features while maintaining enterprise-grade security and compliance. enables AppFolio to quickly adopt new Claude models while maintaining strict data protection standards.
## Why AppFolio chose Claude in Amazon Bedrock for intelligent, secure communication
Early in their gen AI journey, AppFolio saw adoption drop off due to slow response times with their initial solution. When testing showed response latency was impacting user engagement, they turned to Claude 3 Haiku. “When Haiku came out, that actually was a big time saving, paired with some changes on our infrastructure, we really made a big revamp in the experience particularly when it comes to latency. We almost tripled our adoption,” said Ho. The team also found Claude 3.5 Sonnet's ability to process nuanced context proved essential for more complex property management needs. “We're seeing a much higher acceptance rate with Sonnet because the model can be more informed and make more intelligent responses.”
This combination of speed, intelligence, and security through Amazon Bedrock's robust infrastructure enables AppFolio to quickly adopt new Claude models while maintaining strict data protection standards.
## How Claude powers intelligent property management
AppFolio's Realm-X Messages platform leverages two Claude models for different communication needs:
- Claude 3 Haiku handles high-volume, rapid-response scenarios where speed is critical for most general inquiries
- Claude 3.5 Sonnet manages complex communications by:
- Incorporating resident history and current situation
- Checking for existing maintenance tickets where applicable
- Incorporating property-specific policies and amenity information
## Transforming property management efficiency and professionalism
The impact on property management teams has been transformative. Beta customers (property managers) report saving about 11 hours per week on communications alone, with the system saving an average of 26 seconds per message while ensuring appropriate tone and context.
Beyond time savings, Claude helps property managers handle complex resident interactions with confidence. Ho said, "Not everyone's a great writer. Users say this actually helps them navigate challenging situations, especially when answering the same question for the twentieth time in a day and need to maintain composure."
Property managers are using their reclaimed time to focus on higher-value activities. Ho said, "We've seen the full range of benefits. From teams getting more important tasks done to employees having better work-life balance."
## Building the future of AI-enhanced property management
AI's impact on property management is transformative, but AppFolio sees this as just the beginning. Through their partnership with Anthropic and Amazon Web Services, they're pushing beyond simple automation to fundamentally reimagine how property managers work. Their vision is a future where AI partnerships enable every property manager to focus on what matters most—building stronger communities while delivering exceptional service at scale.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## armanino-claude-platform-api-case-study-claude-by-anthropic-f9e7c01a81.md
# Armanino builds AI-powered accounting tools with Claude
[Try Claude](https://claude.ai)
Industry:
Professional services
Company size:
Small
Product:
Claude Platform
Location:
North America
65% reduction
in time spent on manual writing tasks
2 weeks
from idea to production for new AI-powered tools
Armanino, one of the largest accounting firms in the United States, uses Claude on Amazon Bedrock to transform its accounting and consulting services with AI. By integrating AI into its workflows, Armanino is significantly reducing manual tasks, improving client communication, and accelerating innovation across its audit, tax, and consulting practices. These improvements have allowed Armanino to deliver faster and spend more time on high valued items that benefit their clients. Some of these benefits include estimated time savings in audits such as:
- 65% reduction in time spent on manual writing tasks
- 60% decrease in follow-up clarifications needed
- 2 weeks from idea to production for new AI-powered tools
## Revolutionizing accounting with AI
Armanino helps organizations solve their most complex audit, tax, and consulting challenges. Traditionally in the industry, these services have been highly manual, often leaving clients with limited visibility into the process. AJ Yawn, Partner in Charge for Product and Innovation at Armanino, is spearheading an initiative to change this paradigm.
"We want to lead the industry on adopting AI for critical accounting workflows," shares AJ. His team of software engineers is building a platform that will put AI capabilities at the fingertips of everyone at the firm, from auditors to consultants.
## Rapid innovation with Claude and Amazon Bedrock
To support its ambitious AI goals, Armanino chose Claude on Amazon Bedrock. The firm had already built its modern server-less architecture on AWS, making Bedrock a natural fit for deploying AI applications.
"Claude immediately stood out when we were looking at all of the models available on Bedrock," AJ explains. "The models in the Claude 3 model family felt like the first AI models that allow you to communicate like a human."
Maliq Lawrence, Product Manager at Armanino, led a formal evaluation of the models available on Bedrock. "Many of the other LLMs we’ve evaluated produce responses that are too robotic for our use cases—and would not meet our expectations for using in customer-facing workflows," Maliq notes. "Claude is different, it provides a really personalized feel."
The product and engineering team found Claude easy to use, allowing them to quickly build, test, and deploy new capabilities. Their first AI-powered product, a tool for auditors to request documents from clients, took just two weeks to go from idea to live production.
"It's insane how easy it is to power very complex use cases with Claude," AJ adds.
## Streamlining audits and improving client communication
Armanino's new AI-powered request tool streamlines a process that historically consumed significant time and caused stress for both auditors and clients.
Previously, when clients sent incorrect documents, auditors had to manually write rejection emails, often requiring senior auditor review. This process took 10-15 minutes per rejected item, with 50-75 items typically rejected per audit. Multiplied across thousands of audits each year, this represented a substantial time sink and source of frustration.
The new tool leverages Claude to automatically generate formal notes explaining why a document is incorrect and providing detailed guidance for clients. "We needed this Claude-powered experience to act like a seasoned auditor," AJ explains.
"We're able to provide Claude a small prompt and it gives us a really nice personalized text, about three to four sentences, that delivers exactly what we need from the client in order to fulfill this request," Maliq adds.
## Significant time savings and improved confidence
Even with their first Claude-powered use case, the team was able to generate substantial value across the organization, the expected benefits are:
- 65% reduction in time spent writing rejection notes
- 60% decrease in the need for follow-up clarifications
- Thousands of hours saved across the firm annually
- 90% of users report feeling more confident when using the AI-assisted feature
“When we demoed our Claude-powered document request explainer, you could see the users’ eyes immediately light up,” AJ recalls. “We received glowing feedback. We were even told that the feature would change our users’ lives.”
## Looking to the future
Armanino's AI lab is already at work on new features to support testing and documentation workflows. "This is really just the start for us," says AJ.
With its innovative use of Claude and focus on solving real-world problems for both staff and clients, Armanino is well-positioned to lead the accounting industry into the AI-powered future.
> We evaluated every foundation model available on Amazon Bedrock. Claude is the consistent top-performer. It hallucinates a lot less, and the quality of the output is significantly better than any other model we’ve evaluated. It’s simply night and day.
— AJ Yawn, Partner in Charge, Product & Innovation, Armanino LLP
## Related stories
### Caylent turns months of migration work into days with Claude Agent SDK
### How can a two-person fabrication studio make room for problems it’s never solved before?
### LG CNS modernizes 20-year-old enterprise systems with Claude
### How Blank Metal, a lean professional services firm, runs on Claude Cowork
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## artemis-claude-platform-api-case-study-claude-by-anthropic-abe6a03d48.md
# How Artemis helps security teams cut incident resolution time by 96%
[Try Claude](https://claude.ai)
Industry:
Cybersecurity
Company size:
Startup
Product:
Claude Platform
Partner:
AWS
Location:
North America
90% increase in detection coverage
with environment-specific detections built and tuned from day one
300+ custom Claude skills powering internal development
creating a flywheel between engineering velocity and product capability
[Artemis](https://artemissecurity.com/) is a cybersecurity startup building an AI-native protection platform that delivers real-time detection and automated response for enterprise security teams. Artemis deeply integrated Claude into its platform, from the core reasoning that powers its security agents to the engineering workflows that build and maintain them.
## With Claude, Artemis delivers:
- 90% increase in detection coverage, with environment-specific detections auto built and tuned from day one
- 96% reduction in mean time to resolution, eliminating multi-hour investigations and producing structured, evidence-cited attack reports and response options in under five minutes
- 300+ custom Claude skills powering Artemis’ internal development, creating a flywheel between engineering velocity and product capability
- Environment-specific intelligence within 24 hours of initial integration, highlighting security posture gaps and cloud spend optimization opportunities
- Detection building and threat hunting in English, no specialized query skills required
## The challenge
## The gap between threats and defenses
AI-powered threats can now run from initial access to data exfiltration with minimal human intervention, outpacing an entire generation of defensive technology. Traditional security stacks, built on static rule sets and manual investigation workflows, weren't built for this.
The problem runs deep. A skilled detection engineer in any security organization might write a few rules per week, each requiring intimate knowledge of the log source, the attack technique, and careful tuning to minimize false positives. When new SaaS tools get adopted or configurations change, those rules fall behind. And when a detection *does* fire, what follows is hours of manual work: copying IP addresses into threat intelligence tools, pulling cloud logs, cross-referencing across disconnected systems. Most alerts turn out to be benign.
"You can't bolt intelligence onto a fundamentally static architecture," says Dan Shiebler, co-founder and CTO, at Artemis. "You have to start over, with AI as the reasoning engine, not an add-on."
How security teams use Claude
Claude helps security teams investigate threats, validate findings, and resolve issues faster.
[Read more](https://claude.com/solutions/security)
## The solution
## Why Artemis chose Claude
Artemis evaluated multiple model providers before building its platform on Claude, using Opus 4.7, Sonnet 4.6, and Haiku 4.5 within the platform. Security workflows demand something specific: following complex multi-step instructions with precision, reasoning across large volumes of evidence, and producing structured output where every conclusion cites specific supporting data.
"The depth of Claude's reasoning capability, combined with Anthropic's commitment to safety and the enterprise trust of Amazon Bedrock, has been a fundamental piece in how we designed Artemis' platform," says Shachar Hirshberg, co-founder and CEO at Artemis. Every customer runs in a SOC2-compliant dedicated single-tenant environment. Customer data is never shared across tenants and is never used to train models.
Claude on Amazon Bedrock
Build innovative AI applications with safer systems from Anthropic, supported by secure infrastructure from AWS.
## The outcome
## How Artemis uses Claude to protect customers
Rather than applying generic rules, Claude-powered agents build a living model of each customer's environment: every entity, asset, behavioral baseline, and cross-source relationship. That context is what makes detections effective. When a new event arrives, Artemis evaluates it against the full context of the user, system, and organization, not just a static set of rules. Integration takes less than an hour, and customers begin receiving environment-specific intelligence within minutes of connecting their first data source.
When a detection fires, Claude-powered investigation agents take over: formulating hypotheses, querying across log sources, correlating signals, and producing reports with severity assessments and clear chains of reasoning. Deep domain expertise for each log type (Okta, AWS CloudTrail, Entra ID, Crowdstrike) is encoded into each investigation, regardless of which analyst is on shift. Before Artemis, one enterprise customer's security team averaged two hours per investigation. The same cases now produce structured, evidence-cited reports and response actions in less than five minutes. A global financial services customer went from initial integration to over a hundred environment-specific detections within the first week, covering credential access, lateral movement, and persistence techniques their previous tool missed entirely.
"The investigation backlog for our customers didn't shrink. It disappeared," says Hirshberg. "We help them go from triaging a fraction of alerts, hoping the ones we skipped were benign, to having every single alert investigated with the same analytical rigor. We also use Artemis internally to protect the company."
Analysts can also query their security data in English, asking to see suspicious commercial VPN usage across their organization, then follow up to review a detailed report, maintaining context across the interaction. They can build new detections through conversation and investigate specific alerts without having to know SPL, SQL, KQL, or any other domain specific language.
## Looking to the future
What's less visible but equally important: Artemis uses Claude not just in the product, but to build the product. 100% of the engineers work with Claude Code as a core part of their development workflow. Over 300 custom Claude skills encode the team's operational playbook, from creating new detectors to managing infrastructure and reviewing code. Internal tools become product features. The engineering team ships faster the more it builds.
## Related stories
### Vega's cyber defense platform returns 67% of analysts' time with Claude
### Cyera on making Claude Cowork the front door to 40 tools
### Cyera scales agentic AI across 1,500 employees with Claude Enterprise
### Kai delivers preemptive exposure management with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## asana-claude-managed-agents-case-study-claude-by-anthropic-4884713c96.md
# How Asana built AI Teammates on Claude Opus 4.6
[Try Claude](https://claude.ai)
Case Study: Asana
Read more about how Asana supercharges work management with Claude.
[Read more](https://claude.com/customers/asana)
Asana recently launched [Asana AI Teammates](https://asana.com/product/ai/ai-teammates), powered by Claude Opus 4.6 **a**nd [Claude Managed Agents](https://claude.com/blog/claude-managed-agents). We sat down with Arnab Bose, Chief Product Officer at Asana, to discuss his thoughts on collaborative agents and why Asana chose Claude as their model layer.
## How does Asana think about the role of collaboration in AI agents?
**Bose:** The assumption in the market is that collaboration is a constraint on autonomy. We think that's backwards. We’ve seen autonomous agents struggle with work-related tasks they're given, not because the models aren't smart enough, but because the agents lack the context to execute well.
The industry defaulted to individual-first because it's the easiest problem to solve technically. What breaks at enterprise scale is coordination. AI actually increases the coordination tax. With an AI agent, a marketing manager can draft a brief in five minutes, but they still run into bottlenecks with rounds of reviews and syncing with a launch timeline that multiple teams depend on. When every person has their own AI assistant working independently, you create more fragmentation, not less. Collaboration is what makes real autonomy possible.
## How do AI Teammates actually work within Asana? Walk us through the experience.
**Bose:** It's designed to feel like adding a new team member, but one that's fully onboarded on Day 1. An AI Teammate has its own Asana account, just like any other colleague. You assign it a task, @mention it in a comment, or trigger it through a workflow rule, and it goes to work.
Take our Campaign Brief Writer. A marketer creates a request with the objective and target audience. The AI Teammate picks it up, pulls relevant context and drafts a structured brief the team can review. What used to take days of back-and-forth becomes a fifteen-minute review cycle. The key difference is that AI Teammates don't generate and disappear. They operate within the same project structure, permissions, and workflows your team already uses.
Building a custom AI Teammate doesn't require engineering resources or technical expertise. You describe the role, give it instructions, and point it at the right projects. A compliance team can stand one up to review submissions against regulatory checklists. An HR team can build one to triage employee requests.
## Why did Asana choose to build AI Teammates on Claude?
**Bose:** We evaluated available models carefully—AI Teammates uses a multi-agent architecture, and we use different models to accomplish different takes. The most important is the top-level agent responsible for coordinating a Teammate's efforts, and here Claude stood out for the quality of its reasoning, particularly when it comes to understanding nuanced, context-rich work scenarios. Work management isn't just about processing text. It requires interpreting goals, understanding dependencies between tasks, recognizing what's blocking progress, and communicating clearly with the humans in the loop. By using different Claude models in the various subagents, we're able to optimize for speed, reasoning power, or balance between the two—whatever it takes to move work forward.
We've been especially impressed by its ability to handle multi-step workflows, for instance, an AI Teammate that reviews an entire project's task history, identifies patterns in what's falling behind, and drafts a targeted status update with recommended next steps. That level of synthesis and judgment is what sets Claude apart. Claude Managed Agents removed a lot of the undifferentiated heavy lifting for AI Teammates. That let our product team stay focused on the things only we can build—enterprise-grade integration with how teams actually work in Asana.
## Your team has been building on Claude for a while now. Were there capabilities in Claude that changed something you couldn't have built a year ago?
**Bose:** We were early Claude adopters. In our experience, advancements in more recent models show that Claude excels at instruction following, with careful attention to detail that ensures our customer requests are followed to the letter and no further. This means that you can trust your AI Teammates won't surprise you by going beyond what you ask. Claude is also the best trained model at using Agent Skills, and we’ve used Skills to dramatically cut development time for core features like document editing in Microsoft Sharepoint & OneDrive. By combining Claude with the data in Asana Work Graph, AI Teammates are able to go from very basic customer requests to surprisingly complete pieces of work.
## Can you share a specific example of how an AI Teammate fits into a team's regular workflow?
**Bose:** Cross-functional launches are inherently complex. Marketing, product, engineering, and enablement are all working toward the same date. The coordination overhead is massive.
The Launch Planner AI Teammate takes on that coordination layer by living inside the workflow. It monitors progress across workstreams, flags dependencies, reports on status, and proactively surfaces what needs attention. Now the human program manager goes from spending hours stitching together spreadsheets to reviewing a structured summary and making decisions.
**Anthropic: CIOs are worried about agent sprawl: too many bots, no visibility, unpredictable costs. How should enterprises be thinking about governance?**
**Bose:** That concern came up in nearly every early enterprise conversation. CIOs told us they had dozens of point-solution bots scattered across departments. There’s no single view of what the AI was doing, and nobody could answer "what happens if something goes wrong?"
Three principles shaped our approach. First, admins control whether users can access AI Teammates, and users control which ones are active, what they access, and what actions they take. Second, every action is recorded in task history, so it's visible and auditable. And finally, customer data is never used to train models, so you don't need new governance policies to use AI Teammates.
**Anthropic: Where should an agent act on its own, and where should it always come back to a human?**
**Bose:** Our principle is that AI Teammates should be autonomous on execution, but humans own the decisions. Drafting a brief, triaging requests, flagging compliance gaps — that's execution work the AI Teammate handles on its own. When there's a judgment call, it surfaces the decision to a human with the context they need. Teams can adjust how much autonomy an AI Teammate has based on the stakes involved.
**Anthropic: What's the vision for where AI Teammates go from here?**
**Bose:** Over time, we see AI Teammates becoming more capable across complex multi-step and multi-app workflows, learning from team patterns, and proactively identifying opportunities to move work forward by integrating with additional applications that Enterprises use. And we’re going to make them even smarter by using Agent Skills to extend and systematize the work that Teammates are able to do. The vision is that people spend their time on the creative, strategic, high-judgment work that drives the business. Not AI that replaces people, but AI that works alongside them as a true teammate.
Introducing Claude Opus 4.6
We’re upgrading our smartest model. The new Claude Opus 4.6 improves on its predecessor’s coding skills. It plans more carefully, sustains agentic tasks for longer, and features a 1M token context window.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## asana-claude-platform-api-case-study-claude-by-anthropic-536f6b6746.md
# Asana supercharges work management with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Medium
Product:
Claude Platform
Location:
North America
Years to weeks
engineering development cycles with Claude
10x faster insights
data-driven decision making with Asana AI
Asana, a leading enterprise work management platform, powers their Asana AI offering with Claude for its 150,000+ global customers. Their innovation continues to prove that AI is no longer just a tool, it’s a teammate that can advise teams on where to focus, action work and workflows, and adapt to how an organization works.
With Asana AI, customers can:
- Get AI-driven insights across teams and tools to focus on the work that matters most
- Automate tasks and orchestrate complex workflows at scale with AI
- Use AI that adjusts to their company’s changing needs and goals
## Improving work management with AI
In a world of disconnected teams and tools, Asana found the biggest challenge for teams was coordination of work, and answering questions like who is doing what by when, and why. With Asana, teams can connect the goals set at the top of their organization, to the strategic portfolios put in place to achieve them, all the way to the cross-functional projects and individual tasks that will support those strategies. This fuels their mission to help humanity thrive by enabling the world’s teams to work together effortlessly.
Building on this foundation, Asana saw an opportunity to further revolutionize work management through generative AI. In choosing an LLM, Asana needed a provider that shared their commitment to ethics, transparency, and trust while delivering cutting-edge technology.
Bringing Asana’s Work Graph and Claude together, Asana found an ideal partner in Anthropic, whose commitment to ethical AI development aligned perfectly with their vision. "Asana and Anthropic have pursued the same goals since the beginning," says Paige Costello, Head of Product for AI at Asana.
Asana integrated Claude into their proprietary Work Graph® data model through collaboration in Anthropic's Early Access Programs. The Asana Work Graph is a unique data model that captures work-related relationships, context, and information across an entire organization. This provides the necessary structure that allows AI to access the context needed to surface reliable, accurate insights.
Eric Pelz, Head of Technology for AI at Asana, emphasizes the importance of integrating AI into existing workflows, saying, "The most effective way to adopt AI across your team is in the context of your existing work and processes. Rather than redefining how you work from first principles, you can build on top of how you already collaborate, utilizing AI to remove bottlenecks, add helpful insights, or even preemptively escalate to get support."
By combining Claude's capabilities with the Work Graph's understanding of organizational relationships and processes, Asana creates an intuitive platform that enhances team collaboration.
## Integrating Claude's capabilities into Asana's core features
Asana AI leverages Claude for several key features, including:
- **Smart workflows built with AI Studio:** Build workflows with AI agents to pass off your team’s busy work
- **Smart goals:** Draft more effective goals and standardize them across your entire organization
- **Smart chat**: Surface insights and recommendations across work and tools to action work faster
- **Smart status:** Automatically draft status updates that identify risks, roadblocks, and open questions across projects, portfolios, and goals
- **Smart summaries:** Keep up with tasks, projects, or portfolios, and gain proactive insights to stay updated on your most important initiatives
AI features are integrated into Asana's interface, making it easy for users to leverage Claude without disrupting their workflows.
## Empowering 150,000+ companies with AI-driven productivity
Asana cultivates customer relationships as strategic partnerships, collaboratively shaping products that not only achieve Asana's objectives but also lay the foundation for mutual long-term success.
This approach extends to their AI implementation, where they're running beta programs to explore custom workflows, proactive insights, and process improvements.
Claude's capabilities within Asana AI keep teams aligned and accountable through smart features like automated status updates, intelligent summaries, and personalized insights. This enables leaders to make data-driven decisions faster and adapt to changing circumstances more effectively.
The impact of these AI innovations is evident across Asana's customer base. Thanks to their rapid pace of innovation, they’ve been able to deliver AI to many of their customers over the past year. One global media and entertainment company turned to Asana to streamline their workflows for roadmapping and planning projects. Thanks to Asana they’ve improved C-Suite escalations, smoothed work handoffs, and automated request routing to the right projects and processes.
Another customer, a leading outdoor advertising company, is exploring AI to transform their creative request process. With Asana AI they are able to triage requests, deliver tailored recommendations on ad designs, and streamline their ad creation process. This means more time for their teams to focus on what matters – being creative.
## How AI impacts Asana’s business
Asana has achieved remarkable results for users by integrating Claude. AI features have increased goal clarity and productivity, and have helped reduce decision-making time for executives.
With Claude handling routine tasks and surfacing critical insights, users can focus on strategic work that drives their organizations forward. Asana is supporting a future of work where teams can maximize their creative and strategic potential by delegating tedious parts of their workflow to AI.
## Future innovation with Anthropic
Asana's partnership with Anthropic has accelerated their AI capabilities. Pelz shares, "What's cool about AI now is doing things we thought would require years of engineering effort, in just a few weeks with a small team; it's catalyzed how fast we can build features to help our customers."
Asana is committed to pushing the boundaries of AI-powered work management. Costello says, "We've always had an ambitious destination, and knew the technology and tools would evolve along the way."
By collaborating with Anthropic and leveraging Claude, Asana aims to redefine productivity and make teamwork effortless in the age of AI.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## asapp-claude-platform-api-case-study-claude-by-anthropic-44ec429492.md
# ASAPP brings human-level AI to customer service with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
25-40% improvement
in core business metrics vs other AI models
61 languages
supported without additional training
ASAPP leverages Claude to power AI-driven customer service solutions—enabling businesses to deliver efficient, personalized help that enhances the customer support experience.
With Claude, ASAPP:
- Saw a 25-40% improvement in core business metrics compared to other AI models
- Eliminated the need for sensitive data redaction pipeline by using Claude in Amazon Bedrock
- Enabled more natural interactions in automated customer service
- Improved customer satisfaction through contextual conversations
## Meeting growing customer service demands securely
ASAPP has worked to transform contact centers using AI for over a decade. ASAPP's journey to Claude followed limitations with their initial foundational AI provider. Using this provider's models required implementing complex processes to identify and remove sensitive information before sending requests over the public internet—then reinserting that information into responses.
"This redaction process introduced errors that impacted the quality of our AI interactions," explained Michael Griffiths, Senior Director, Data Science at ASAPP. "The modified text made it harder for the AI to reason correctly and generate appropriate responses." This challenge was particularly acute in customer service, where accurate handling of personal information is crucial.
## Choosing Claude for security and reliability
The search for a more secure solution led ASAPP to Claude in Amazon Bedrock. Nirmal Mukhi, VP of AI Engineering at ASAPP, said, "A key advantage of accessing Claude in Amazon Bedrock is the enhanced security. Our requests never traverse the public internet and are encrypted end-to-end. We can handle sensitive customer data without compromise, which is essential for our enterprise clients."
Claude's alignment capabilities also emerged as a crucial differentiator. Gabe Maggiotti, Director of Machine Learning Engineering at ASAPP, said, "We have experienced that Anthropic has better alignment." Where other AI models might ignore instructions or make problematic assumptions, Claude adheres to defined parameters.
Alignment matters because ASAPP allows companies to instruct GenerativeAgent on how to help solve customer problems. Claude makes that task easier by obediently following instructions from business users and engaging customers naturally with clarifying questions when GenerativeAgent needs more information.
## Delivering measurable business impact
The switch to Claude in Amazon Bedrock has significantly improved ASAPP's GenerativeAgent. Compared to other AI models, Claude delivers a 25-40% boost in key business outcomes in production, varying by use case.
For businesses using ASAPP's platform, the impact extends beyond metrics. ASAPP can assure their enterprise customers that sensitive information remains protected by leveraging AWS PrivateLink for private API access and benefiting from Amazon Bedrock's no-data-retention policy. "We can pass these guarantees on to our customers, making them more comfortable with us as a provider," said Mukhi.
## Transforming the customer experience
The experience represents a fundamental shift in automated service for end customers. Mukhi noted, "As humans, we're used to speaking with automated systems in certain ways. We expect a very rigid, menu-driven system." However, ASAPP's GenerativeAgent solution, powered by Claude, changes this paradigm entirely.
Customers quickly transition from terse, command-like interactions to full, natural conversations within just a few exchanges. The platform maintains context throughout conversations, meaning customers don't have to repeat information. The interaction quality is so convincing that customers often ask mid-conversation if they're speaking with a real person, and saying "thank you" to GenerativeAgent at the end.
## The future of AI-powered customer service
While technology advances rapidly, ASAPP recognizes that organizational adoption takes time, creating a business process transformation involving millions of people requires careful, thoughtful implementation. "Claude fundamentally changes what's possible in automated customer care," explains Griffiths. "The ability to have nuanced, context-aware conversations through secure enterprise channels opens up entirely new possibilities for how companies and customers interact."
Through their partnership with Anthropic, ASAPP isn't just automating interactions, but entirely reimagining them. Their vision is a future where customer service roles evolve to focus on higher-leverage, uniquely human skills while AI handles routine conversations with unprecedented efficiency and humanity. As each natural, trust-building interaction demonstrates, they're not just transforming technology—they're transforming how millions of people experience customer service.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## assembled-claude-platform-api-case-study-claude-by-anthropic-f3b33b96e1.md
# Assembled transforms support operations with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
20% increase
in customer satisfaction while decreasing support spend
50% reduction
in escalations
Assembled relies on Claude for Assist, their omnichannel AI agent and copilot. Their holistic support operations platform enables industry leaders like Brooks, Warner Brothers, Robinhood, and Stripe to deliver great support at scale, coordinating humans in partnership with AI agents.
With Claude, Assembled Assist:
- Increased customer satisfaction by 20% while decreasing support spend
- Achieved over 50% reduction in escalations
- Improved cases solved per hour by more than 30%
- Automated over 50% of cases while maintaining 90%+ customer satisfaction
- Switched to Claude in 20 minutes during a critical outage
## Meeting modern support challenges with AI
Modern support teams face a challenge: how to deliver personalized, high-quality service at massive scale. The founders of Assembled encountered this challenge firsthand while building support systems at Stripe. "In the early days of Stripe, Patrick & John \[Collison\] would have people over to their apartment to do support tickets on rotation," said John Wang, co-founder at Assembled. "There's this perception that support is a cost center—yet every great company starts with this type of customer obsession. We've found over the years that it's a uniquely difficult problem to scale great support, as a business succeeds and gets more complex."
Assembled recognized that truly effective support requires thoughtful coordination between AI and human agents, while many competitors focus solely on automation and deflection. Wang notes, "A lot of new players are oversimplifying the support problem. They throw AI agents in the mix and think that will solve everything. We deeply understand the inner workings of customer support. Instead of deflecting low value, low complexity work, we've focused on building systems to better resolve so-called Tier 2+ complexity issues—issues that require analysis, actions, and empathy. Some of these issues can be automated end-to-end, and others involve giving human agents AI superpowers. Whatever it takes to result in a great customer experience.” Assembled’s deep understanding of support operations led them to build a product that goes beyond simple automation. Instead of replacing human agents, Assembled Assist coordinates AI and human efforts to deliver better customer experiences while reducing costs and complexity.
## Why Assembled chose Claude
Assembled selected Claude for its superior reasoning, reliability, and natural conversational tone. These qualities were tested during a critical competitor outage, when Assembled needed to quickly switch their platform to maintain service for their enterprise customers. "We moved all LLM workflows over to Claude in real time, which was huge for us because we could ride out a five to six hour outage without disrupting our customers," said Wang. "Claude performed so well that we're reevaluating our entire model infrastructure. The reasoning capabilities are significantly better, and the conversational tone feels much more natural even out of the box."
Assembled discovered Claude's value for internal operations beyond customer support applications. Wang said, "When we were using Claude internally, we used it extensively to help train our sales team on our product. Early on, our sales team was using the Claude Slack bot to answer product questions during sales calls. This was so effective that we now offer all employees a monthly LLM budget—they can choose any AI model, but many prefer Claude for its natural, empathetic interactions."
The team leveraged a sophisticated evaluation system to measure AI model performance. Every support agent response goes through the evaluation system, creating a golden dataset for comparison. When agents modify AI-generated responses, the system analyzes these changes to continuously improve accuracy. This approach helped achieve dramatic improvements—for one major customer, accuracy jumped from 62% to 90% across hundreds of categories.
## How Claude powers intelligent support operations
Assembled Assist uses Claude to enhance support through:
- Dynamic ticket categorization using meta-prompting that adapts to each customer's unique taxonomy
- Intelligent routing between AI and human agents based on case complexity and customer sentiment
- Multi-model architecture enabling seamless failover during outages
- Real-time response generation and enhancement
- Secure failover architecture for enterprise reliability
## Transforming support for leading brands
Assembled's impact goes beyond automation metrics—they're fundamentally changing how support teams operate. Wang said, "Even the leading AI companies still use human agents for their own support. The key insight isn't replacing humans, but transforming how they work. We're focused on identifying which tasks AI should handle, how to escalate effectively, and where human expertise adds the most value."
Their approach has gained traction with industry leaders. For these companies, maintaining high-quality support while scaling globally isn't just about efficiency—it's crucial for brand reputation and customer loyalty.
- **A leading consumer software company**: In just the first two weeks of using Assembled Assist, they saw material improvement in both average handle time per case and CSAT. They plan on automating at least 25% of all support tickets as part of a company-wide growth push.
- **Thrasio**: Automates over 50% of support tickets with Assembled Assist, which led to nearly \$2m in cost savings and a 50% decrease in full resolution time.
- **Honeylove**: Saw massive productivity and efficiency benefits after just 5 months using Assembled Assist – solves per hour increased by 54%, escalations decreased by 20%, and CSAT for AI-powered responses increased by 18%.
## Building the future of AI-enhanced support
Assembled is developing features to help companies deploy the right resource at the right time, using Claude 3.5 Sonnet for complex reasoning tasks and Claude 3 Haiku for high-speed operations. Their platform analyzes the skills required for different types of issues and automatically routes cases to the optimal handler—whether that's an AI agent or a human with specific expertise.
Wang concludes, "We're not just playing a deflection game, because support is more complicated than that. It’s also time-consuming and expensive work, especially at a global scale. We're building something that actually powers better, faster work for support teams and their customers; for example, we’re working on leveraging LLMs to take language barriers out of the global support delivery. Through their work with Anthropic, Assembled aims to make this vision a reality—transforming customer support from a cost center into a strategic advantage that builds stronger relationships between companies and their customers.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## athena-claude-platform-api-case-study-claude-by-anthropic-4bb6611bbc.md
# Athena Intelligence compresses weeks of enterprise knowledge work into hours with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
4–8 weeks to production
vs. 6–12 month industry standard
Compresses multi-step analyst workflows
from days to hours
How enterprises are building AI agents in 2026
New research from 500+ technical leaders reveals how enterprises are deploying AI agents—and why 80% already report measurable ROI.
[Read more](https://claude.com/blog/how-enterprises-are-building-ai-agents-in-2026)
Introducing Claude Opus 4.6
We’re upgrading our smartest model. The new Claude Opus 4.6 improves on its predecessor’s coding skills. It plans more carefully, sustains agentic tasks for longer, and features a 1M token context window.
[Athena Intelligence](https://www.athenaintel.com/) is a startup that pairs an AI-native workspace with an autonomous agent to handle the repetitive, time-intensive parts of knowledge work. The company serves Fortune 500 enterprises, law firms, financial services organizations, healthcare systems, and government agencies. Claude powers the vast majority of autonomous work on the platform.
## With Claude, Athena Intelligence:
- Deploys production enterprise workflows in 4–8 weeks, compared to the 6–12 month industry standard
- Runs 10,000+ autonomous workflows weekly across its customer base
- Over 100k assets (email, pptx, xlsx, docx, etc.) created or edited every month across customers
- Compresses multi-step analyst workflows from days to hours
- Fully automated 400 monthly legal memos at a top-tier law firm, reducing 2–3 days of manual work to an overnight process
- Onboards new departments in hours after initial deployment, using natural language configuration instead of custom model training
## The challenge: Knowledge worker overload meets messy enterprise data
Athena's customers across regulated industries share a common set of problems. Analysts spend the bulk of their time on repetitive, low-value tasks rather than strategic analysis. Enterprise data lives across dozens of systems, and synthesizing it requires enormous manual effort. That data is also rarely clean. Poorly documented systems, legacy formats, and conflicting sources are the norm.
Traditional enterprise AI deployments take 6–12 months to go live, and regulated industries demand accuracy, transparency, and auditability at every step. "We needed a model that could reason through ambiguity, follow complex instructions, maintain quality across long workflows, and explain its reasoning within strict compliance frameworks," said Brendon Geils, Founder and CEO of Athena Intelligence. "Claude was the best fit."
## Selecting Claude for reasoning and safety
Athena selected Claude for its core intelligence layer based on capabilities that proved decisive in production.
"Claude reliably executes complex, detailed, multi-page instructions where other models drift or generate false information," said Geils. "This is the difference between an AI that demos well and one that operates in production." The Athena team said Claude also maintained consistent quality across workflows with dozens of decision points and hundreds of pages of context, while competitors degraded as complexity increased.
For enterprise environments where data is never perfect, Claude's judgment proved equally important. Geils noted that Claude makes professional-grade decisions about conflicting data sources, incomplete information, and when to ask for clarification, and that it explains its reasoning at every step, which is critical for audit, compliance, and legal work. "Anthropic's commitment to responsible AI aligns with our regulated customers' requirements and builds confidence among compliance teams," Geils said.
## The solution: From copilot to autonomous agent
Claude powers the core intelligence layer across every major Athena workflow, and the platform's evolution maps directly to Claude's generational improvements. During the Claude 3 era, Athena functioned primarily as a copilot, useful for individual tasks like querying data and drafting summaries, but multi-step workflows still broke down. With Claude Sonnet 3.5, instruction-following improved enough that Athena could reliably execute multi-step workflows described in plain English, eliminating the need for custom model training. With Sonnet 4.5 and Opus 4.5, the platform began planning, executing, adapting, and delivering end-to-end professional workflows. Sonnet 4.5 handles the bulk of autonomous workflows, while Opus 4.6 takes on harder problems like multi-entity financial modeling, deep legal research across large document sets, and compliance workflows that require high precision.
Athena built on Claude's API without any model-specific integration code. A new model version is a config update: validate against the test suite, update the model pointer, deploy. When Sonnet 4.6 launched, it was live on Athena within 30 minutes with no retraining, re-prompting, or downtime. "That's only possible because Claude's out-of-the-box instruction-following is strong enough that we've never needed brittle fine-tuned layers on top of it," said Geils.
## The results: Agentic workflows at scale
For Athena's customers, work that previously took days now takes hours. Workflows are configured using natural language system prompts, so business users can set up and adjust them without developers. At a Fortune 500 company, legal, HR, and finance teams had invested millions in competing platforms that couldn't deliver insights from fragmented legacy systems. Athena deployed a custom workflow solution, multi-department KPI dashboards, and a CEO productivity agent in four weeks, replacing a competing platform that had required 12+ months of implementation. The agent pulls from email, calendar, CRM, and financial reporting systems simultaneously to produce a daily executive briefing, all configured through natural language prompts rather than custom code.
At an AmLaw 100 law firm, Claude now generates and distributes all 400 monthly compensation memos end-to-end. The previous process, which involved Excel macros, individual PDFs, and manual drops into secure SharePoint folders with a two-person verification check, took 2–3 days every month. It now runs overnight with zero manual intervention.
A global food and beverage company came to Athena, with business units being renamed, databases being merged, and legacy systems full of conflicting records. A prior AI platform had failed on the same environment because it needed clean, consistent data to function. "Last year, we would say 'you need to clean your data first,'" said Geils. "Now, the agents are better than humans at handling messy data."
A leading global professional services firm went to production across multiple practice areas in eight weeks. "Athena's not a tool anymore,” said a technology lead at the firm. Across the platform, Athena's customers are now collectively running over 10,000 autonomous workflows every week.
Athena’s goal is proving AI can be “powerful, trustworthy, and genuinely useful at the world's most complex organizations,” Geils said. “Every improvement in Claude directly accelerates our product roadmap and improves customer outcomes.”
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## atlassian-claude-and-google-cloud-case-study-claude-by-anthropic-ba3df36fab.md
# How Atlassian builds AI agents teams can trust with Claude and Google Cloud
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Large
Product:
[Claude Platform](https://claude.com/platform/api)[Claude Code](https://claude.com/product/claude-code)
Partner:
Google
Location:
Australia
5 million+ agents executed
in customer business workflows each month
Millions of users on Rovo Chat
with Claude as a base agent model
[Atlassian](https://www.atlassian.com/) makes the software that teams use to plan, build, and ship their work together, including Jira, Confluence, and more than 20 other products used by over 350,000 customers worldwide. AI is now built into everything Atlassian ships, and customers are asking it to take on more of the real work itself. Claude handles the most complex and long-running of that work, on a platform built with Google Cloud.
## At Atlassian, Claude helps power:
- More than 5 million AI agents running in customer business workflows each month
- Rovo Chat, its in-app assistant used by millions, with Claude as a base agent model
- Rovo CLI, the primary experience for developer AI
- Rovo Max, an early-access mode of Rovo Chat, which plans, reasons, and executes across Atlassian tools taking on complex work.
- Rovo Studio, which uses a variety of models, including Claude (Opus 4.8 and Sonnet 4.6) for low code/no code agents and automations
## The challenge
## Agents customers trust with work that matters
Chatting with an AI assistant, asking it to summarize a thread or draft an update, still leaves the work to a person. Atlassian's customers want to hand that work to a trusted and capable agent instead: reviewing incoming contracts as a first line of defense, triaging support tickets, and surfacing new sales leads.
Handing an agent that kind of consequential, repeatable work raises a higher bar than chat. The agent has to use Atlassian's own capabilities from inside the product itself, the way a person does, in order for the business to trust the result. "We're good at building UIs for humans," said Sherif Mansour, Head of AI at Atlassian. "The next muscle is making sure those capabilities are usable by agents as well. How do I make sure agents are an equivalent customer of our software?"
Trust is hardest to earn where the work is most valuable: complex, long-running tasks where a wrong answer compounds the longer an agent works. It only gets harder as Atlassian opens more of its surface to agents, across hundreds of AI capabilities in more than 20 apps, and trust hinges on how they are deployed, what they can access, and what they return. Until agents earn it, customers won't hand them the work worth automating. "Scale, complexity, and trust seem to be the three biggest themes that keep coming up over and over again," Mansour said.
Claude on Google Cloud
Build advanced AI agents with Claude on Google Cloud.
[Read more](https://claude.com/partners/google-cloud)
## The solution
## Putting Claude behind the hardest work
Atlassian put Claude behind the workloads where the cost of a wrong answer is highest. For its reasoning tiers, Claude stood out for consistent instruction-following, strong long-context handling, and dependable tool orchestration.
"We prioritize reliability in enterprise workflows,” Mansour said. “The Claude models are better at following complex instructions consistently and handling larger amounts of context without losing important details, especially where quality and trust matter a lot."
That work shows up first in Rovo Chat, the in-app assistant that helps customers move work forward inside Jira, Confluence, and the rest of the suite. Rovo Chat serves millions of users with Claude as one of its models, choosing the right tools and skills from among the thousands Atlassian has exposed. Claude also powers Rovo CLI, Atlassian's primary developer AI experience, and is also behind Rovo Max—a mode of Chat in early access—that takes a goal rather than a task and works until it reaches it. To do that, Rovo Max draws on Teamwork Graph, Atlassian's connected map of the billions of objects that span a customer's apps, and runs inside a managed environment where admins control its packages and network access. Many of Atlassian's customers are also software and IT teams, and Claude handles their code review and code generation, work that often calls for reading across large repositories. Some go further and hand a Jira ticket straight to a Claude-powered agent that picks up the work and carries it out.
Inside Atlassian, the same kind of work runs on Claude Code. It's used heavily across engineering, and a recent pilot extended it to non-technical teams, where product managers and designers used it to prototype, commit small code changes, and build custom internal apps.
## An open platform, built on Google Cloud
Claude runs on the internal AI platform Atlassian built to serve models across its products. At its center sits an AI model gateway built on Gemini Enterprise Agent Platform (formerly Vertex AI) as the primary routing path, managing and interconnecting AI workloads across providers. Atlassian scales that framework on Google Kubernetes Engine alongside Google Cloud's GPUs and TPUs. "In the world of AI, you cannot use one tool for everything," Mansour said. "Working with Google Cloud and Anthropic gives us the ultimate enterprise toolbox to automatically route the right workload to the right model at the perfect time." When a team builds a new capability, it writes its own evaluations, benchmarks models on quality and cost, and deploys whichever performs best.
Atlassian moved the platform behind its high-volume custom agents to Google's Gemini Flash family. "We have significantly reduced operational costs for our customers running continuous AI workflows on our platform," Mansour explained. "By using Gemini and Claude through Google Cloud, we hit a rare trifecta: costs dropped, quality improved, and latency remained optimized." Gemini Flash is now the default for those general-purpose customer agents, while Claude carries the complex, long-running work. When vendors retire models, the team swaps in newer ones without re-architecting. "A long-term roadmap in the world of AI is probably no more than three months these days," Mansour said. "What's most important for all organizations is how do you have your teams empowered with a set of tools to respond to change quickly."
Choosing the right Claude model
Learn when to use Haiku, Sonnet, or Opus to get better results and stay inside your rate limit. A practical guide to picking the right Claude model.
## The outcome
## Millions of agents, and one that made its own video
More than 5 million agents ran in customer business workflows in a single month, a figure that keeps climbing as customers drop agents into more loops across their workflows. Claude drives the most complex of those experiences.
What that looks like in practice came through in an internal Rovo Max demo. Someone handed the agent a Jira board and asked it to "create me an Instagram reel" for everything the team had shipped. It had no access to Instagram and no built-in way to make a video. The agent read the board, used Teamwork Graph to follow the linked context, and pulled in connected Figma designs and Google Docs. It found libraries to generate video, wrote its own script, and produced a reel with the right announcements, stopping only where it needed an Instagram account, which a human provided. “All of that is powered by Claude," Mansour said.
Where Atlassian takes this next rests on two problems it wants to keep solving for customers: their workflows and their context. The workflows already exist. "Our customers run billions, with a B, of workflows in Jira and Confluence," Mansour said, and the opportunity is finding the steps inside them where an agent can deflect a ticket, surface a lead, or cut the time a task takes. Context is the more durable problem, and the one Teamwork Graph is built to solve. "If you assume that every customer, including ourselves, has access to more and more intelligence every year, and the cost also drops at the same time, then what is the most sustainable differentiation any company can have?" Mansour asked. "It's just the context. It sounds like an abstract term, but the context is really just the knowledge they have everywhere."
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
### How Notion ships and scales agents with Claude Managed Agents
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## attention-claude-platform-api-case-study-claude-by-anthropic-84121a3c27.md
# Attention automates sales operations and accelerates revenue with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
1.6 million hours of admin work automated
freeing sales reps to focus on closing deals
Up to 40% improvement in win rates
reported by Attention customers whose sales teams trust Claude-generated outputs for coaching scores, CRM data, and follow-up emails
Introducing Claude Opus 4.6
We’re upgrading our smartest model. The new Claude Opus 4.6 improves on its predecessor’s coding skills. It plans more carefully, sustains agentic tasks for longer, and features a 1M token context window.
Cowork
Give Claude access to your local files and let it complete tasks autonomously. Agentic capabilities for non-technical knowledge work.
[Read more](/product/cowork)
Sales reps spend a surprising portion of their day not selling. After every call, there are CRM fields to update, follow-up emails to write, notes to log. For organizations running thousands of calls, that accumulated burden becomes a serious drag on revenue. [Attention](https://www.attention.com/) set out to change that by building a platform of AI agents that automates the full administrative layer of sales. Not just transcription, but action.
## With Claude, Attention achieved:
- 10+ hours per week saved per rep on manual tasks
- 90% of post-call administrative work automated with near-human accuracy
- Up to 40% improvement in win rates, driven by AI outputs teams trust enough to act on in live deals
- 5x coaching efficiency improvement at AI healthcare leader Abridge
- Core scoring pipeline integration in under two weeks
- Engineering time shifting from output cleanup to new feature development
## The challenge: Moving beyond transcription for sales calls
The technical bar for an AI-powered sales platform is higher than it first appears. Transcription is easy. Reliable, nuanced sales intelligence is not.
Attention's platform evaluates calls against strict qualification frameworks like MEDDIC (Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion) without hallucinating details or producing advice too generic to act on. It analyzes patterns across thousands of conversations to surface why deals were lost to a specific competitor last quarter. "We realized early on that just transcription was not enough," said Stewart White, VP of Growth at Attention. "Sales teams did not need more text; they needed action.”
And because Attention automates customer-facing communications like follow-up emails, every output has to match the quality and tone of a skilled sales rep. If it doesn't, reps won't use it, and none of the downstream revenue gains materialize.
The model also had to handle scale: “We needed a model with a massive context window that didn’t degrade in performance as data volume increased,” said White. “We wanted to build a system that could not only hear a conversation but understand the nuance of sales methodologies, identify churn risks before they happened, and autonomously update a CRM like a top-tier sales rep would."
## Why Attention selected Claude
Attention tested several leading models before choosing Claude as the reasoning engine of the product. The deciding factor was tone. Sales communication lives or dies on trust, and AI-generated outputs that sound robotic simply don’t get used. “In sales, tone is everything,” said White. “Claude was the only model that consistently produced warm, empathetic, and human-sounding outputs right out of the box. Whether it is drafting an email or giving feedback to a rep, Claude avoids the robotic syntax that plagues other LLMs. This human quality was non-negotiable for winning the trust of our users.”
Sales interactions are full of subtext: a prospect who says “we’re evaluating options” means something different than one who says “we’re not in a position to move forward this quarter.” Claude consistently outperformed alternatives in understanding intent, evaluating calls with the sophistication of a seasoned manager rather than a pattern-matching algorithm. And because Claude follows complex system prompts precisely, Attention’s engineering team could support a wide variety of sales tasks without building separate pipelines for each one.
Implementation confirmed the fit. The team integrated all three Claude models (Haiku, Sonnet, and Opus), selecting the right one for each task based on complexity and latency requirements. Attention integrated Claude into their core scoring pipeline in under two weeks, and the model’s steerability meant engineers spent less time cleaning up outputs and more time shipping features.
## How Attention's platform uses Claude as its reasoning engine
Attention built the agent architecture, orchestration logic, CRM integrations, and the routing system that connects across 200+ integrations. Claude serves as the reasoning engine within that architecture. "Attention built a powerful AI sales platform," said White, "and Claude's reasoning capabilities are what make the intelligence layer exceptional."
The platform's AI agents can handle virtually any request a sales team might have. Sales leaders use Attention to ask complex questions like "Generate a report on why we lost deals to Competitor X last quarter" or configure automated triggers that surface churn risk before it becomes a lost customer. Individual contributors use it to remove the repetitive work from their day: Claude analyzes call transcripts to fill CRM fields in Salesforce or HubSpot, then drafts follow-up emails that reference specific pain points from the conversation.
The platform also routes intelligence across teams based on what Claude finds in conversations. When Claude detects a sentiment or keyword that signals churn risk, it triggers an alert to the Customer Success team. When a customer mentions a feature gap, the system extracts that snippet and routes it to the product team's tracking system. Rather than relying on fixed keyword rules, Claude interprets the conversation and Attention's platform routes the result.
"Attention isn't just a tool; it's a fundamental operating layer," one VP of Sales told the team. "The intelligence generated is so good I don't even have to listen to the calls to precisely understand the state of our pipeline."
## From time saved to deals closed
Attention estimates that it’s now automated more than 1.6 million hours of admin work, or about 20 minutes of admin for each client interaction. Ninety percent of post-call administrative work is now handled automatically, with accuracy customers describe as near-human.
The more meaningful measure is what that accuracy enables downstream. When a coaching score is reliable, managers use it, reps improve, and win rates go up. When a follow-up email is well-calibrated, reps send it, and deals progress. Attention customers report up to 40% improvements in win rates—outcomes that run directly through the quality of Claude's outputs. AI Healthcare leader Abridge saw 5x improvements in their coaching efficiency. Engine’s go-to-market team is collectively saving over 250 hours per week. These results depend on the reasoning layer being good enough that sales teams trust it in live deals.
Claude's steerability also had a direct impact on Attention's own development velocity. Because the model handles complex instructions well, engineers say they spend significantly less time writing code to clean up AI outputs and more time building new capabilities.
## Building autonomous sales ops workflows
Attention is expanding into a new generation of autonomous agents, ones that go beyond analysis to actively participate in workflows. That means proactively scheduling meetings, researching prospects before calls, and helping reps practice objection handling through AI-powered role-play.
"As Anthropic makes advancements in inference speed and context window size, Attention will be there to translate those technical gains into wins for our customers," said White. "We view Anthropic as a core infrastructure partner in our mission to automate the sales stack."
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## audience-strategies-claude-enterprise-case-study-claude-by-anthropic-06792613e2.md
# Audience Strategies expands the electronic music industry's policy influence with Claude
[Try Claude](https://claude.ai)
Industry:
Entertainment
Company size:
Small
Product:
Claude Enterprise
Location:
Europe
3 months to 4 weeks
report creation timeline compression
30% more topics
covered vs previous reports
Audience Strategies partners with the Night Time Industries Association (NTIA) to produce the annual "State of Electronic Music" report, which documents the cultural and economic impact of the UK's £2.4 billion electronic music sector.
**With Claude, Audience Strategies:**
- Compressed their report creation timeline from 3 months to 4 weeks
- Reduced interview preparation and analysis from 2 hours to 25 minutes per interview
- Covered 30% more topics compared to previous reports
- Shortened their writing phase from 4 weeks to just a few days
## Breaking through the barriers of manual research
Creating the annual "State of Electronic Music" report—which documents the UK's £2.4 billion electronic music sector for policymakers—required Audience Strategies to process dozens of interviews and hundreds of thousands of words manually. This exhausting approach left the research team too drained to advocate for their findings effectively.
"Our past approach required hundreds of hours of work, making it hard to justify commercially despite the report's importance," said David Boyle, founder of Audience Strategies. "By the end of the report creation process, we lacked the energy for the crucial advocacy phase after publication, limiting its impact."
## Selecting Claude for research excellence
After evaluating multiple AI models, Audience Strategies chose Claude for its superior ability to handle complex research tasks. Boyle said, "Claude feels smarter in ways that matter to our work—researching, thinking, making decisions, and understanding the world. "With Claude, I rarely need to explain anything. It just works.”
The decision came down to three factors:
- **Extensive context window**: Claude allowed the team to process entire interview transcripts without artificial constraints. "We can input vastly more information—more interview transcripts, strategy documents, and research pieces," Boyle noted.
- **Claude Projects**: Shareable projects with live-linked knowledge files to the latest version of Google Docs enabled seamless collaboration across their distributed team.
- **Natural writing style**: The output quality felt genuinely human rather than artificially structured.
## How Claude powers comprehensive industry analysis
Audience Strategies integrated Claude into their research and writing workflow, transforming how they create the annual electronic music report.
For interview processing, the team uploads transcripts from otter.ai to dedicated Claude projects, then through a series of prompts Claude:
- Generates high-level summaries of key takeaways
- Categorizes insights according to report sections (economic impact, cultural significance, policy challenges)
- Extracts powerful quotes that capture unique perspectives
- Identifies emergent themes across multiple interviews
"Claude helped us uncover a previously unexplored therapeutic dimension of electronic music," Boyle shared. By connecting comments about neurodiverse communities gravitating toward electronic music with discussions about sound system experiences, Claude uncovered insights that led to new research initiatives exploring how specific BPM ranges may create uniquely supportive environments for neurodiverse individuals.
The team maintains their "CEO method"—Check, Edit, and Own every piece of AI-generated content. Boyle emphasized, "We stand by everything in the report. If there's a mistake, that's on us, not on AI."
For collaboration, Claude Projects improved how the five-person team works across the UK and Australia. Claude allows team members to access shared knowledge bases, with all source materials live-linked from Google Docs. This eliminates version control issues and ensures everyone works from the same dataset.
## Amplifying impact across the electronic music ecosystem
The Claude-enhanced report has achieved unprecedented policy influence. The current edition has been directly cited in three local authority nightlife strategy documents and referenced in parliamentary discussions on cultural spaces—a level of governmental engagement the team had never seen before.
This impact stems from the report's expanded scope and diversity. "We interviewed about 25 people, and extracting the right insights from all those transcripts simply wasn't possible without Claude," explained Rufy Ghazi, Music Research Lead at Audience Strategies and a DJ with a decade of industry experience. Claude's ability to process and synthesize hundreds of thousands of words enabled the team to include more diverse voices than ever, particularly from underrepresented communities and emerging scenes.
Michael Kill, CEO of the NTIA, notes that this broader representation gives the report additional credibility with policymakers. "The report now truly represents the full spectrum of the electronic music ecosystem," he said, making it a more powerful tool for advocacy.
Beyond creating a better report, Claude has transformed the team's capacity for sustained impact. "The 2025 project wouldn't have been completed without Claude, given our late start and compressed timeline," Boyle confirmed. But more importantly, the team now finishes with energy to spare. "We're now much more effective advocates for the report and its findings," Boyle explained. "We have the capacity to engage with policymakers, speak at industry events, and work directly with stakeholders to implement recommendations."
## Building the future of cultural documentation
Audience Strategies envisions a future where AI democratizes high-quality research and storytelling across underrepresented sectors and communities. Boyle explained, "Industries and communities that historically lacked resources for professional research can now tell their stories with unprecedented depth and authority."
As Claude's capabilities evolve, the team anticipates even more sophisticated applications. They look forward to incorporating historical material from previous report editions for longitudinal analysis of how the industry evolves over time. They also expect Claude to help identify gaps in their research proactively, suggesting missing perspectives based on its understanding of the electronic music ecosystem.
"This approach represents the future of industry research and cultural documentation—not replacing human expertise but amplifying it to create more inclusive, insightful, and impactful storytelling," Boyle concluded. For the UK electronic music industry—and countless other cultural sectors waiting to tell their stories—this AI-enhanced approach to research and documentation offers a powerful new voice in shaping public understanding and policy.
## Related stories
### StubHub transforms live event ticketing with Claude
### Orange localizes manga at an unprecedented scale with Claude
### WRTN pioneers AI entertainment and storytelling across Asia with Claude
### Lex streamlines the writing process with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## augment-code-claude-platform-api-case-study-claude-by-anthropic-f12638197c.md
# Augment unlocks complex codebases with Claude on Google Cloud
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Partner:
Google
Location:
North America
4-8 months to 2 weeks
project timeline acceleration
Weeks to 1-2 days
developer onboarding acceleration
Augment Code uses Claude on Google Cloud to transform how developers understand and work with sophisticated codebases. It gives enterprises an AI expert that understands their software systems and helps teams navigate code confidently.
With Claude on Google Cloud, Augment has:
- Reduced project timelines from 4-8 months to 2 weeks for one enterprise customer
- Accelerated developer onboarding from weeks to 1-2 days
- Processed millions of lines of code across hundreds of customer codebases
- Implemented secure protocols with SOC 2 Level 2 certification
## Bringing expert-level AI to complex software
Augment builds AI-powered software development tools that help teams work with enterprise systems like networking platforms, databases, and storage infrastructure. Current AI coding tools have limitations that might explain their modest adoption among expert developers. Augment takes a different approach. "Building an AI that's a novice with your software isn't valuable," said Scott Dietzen, co-founder at Augment. "We wanted to create an AI that becomes an expert in your codebase."
## Breaking down barriers to understanding complex software
Enterprise software teams must navigate codebases with millions of interdependent lines of code, where every change can have far-reaching impacts. Igor Ostrovsky, CTO and co-founder at Augment, said, "You can't write a line of code without understanding that context. We built an AI system that combines large language models with deep knowledge of an organization's code, enabling developers to write, document, debug, and maintain software more efficiently."
## Why Augment chose Claude on Google Cloud
After testing multiple AI models, Augment selected Claude on Google Cloud for three main reasons:
Augment found Claude's code understanding capabilities particularly valuable. Dietzen said, "Sonnet has abilities beyond other code models." "We switched our production site to Claude in a weekend based on the quality." The team regularly tests available models using contractors who work on real-world code tasks, with Claude consistently performing well.
Another important factor was security. Augment implemented a system requiring users to verify access before viewing any codebase. Combined with SOC 2 Level 2 certification and Google Cloud's infrastructure, this helps Augment protect customer data. "Everything stays inside Google Cloud," explained Guy Gur-Ari, Chief Scientist at Augment. "This makes our security story very clean and simple to explain to users."
Infrastructure reliability also influenced their decision. Ostrovsky said, "Google's core cloud services are stable—no networking or DNS issues. With Google Cloud, we can adapt quickly to changes." Their implementation uses several Google Cloud services for model experimentation.
## How Claude transforms software development
Augment combines Claude with five to six other AI models to enhance development through:
- Contextual Code Understanding: Developers can chat with their codebase to quickly comprehend new areas
- Impact Analysis: The system evaluates potential changes across the entire codebase, identifying risks and dependencies
- Intelligent Code Reuse: Instead of generating new code, the system suggests existing libraries
- Documentation Generation: AI assistance for creating and maintaining technical documentation
- Change Propagation: When developers modify code, the system identifies all related areas needing updates, from databases to APIs and documentation
## Delivering measurable impact
Claude on Google Cloud has significantly improved development team workflows at Augment. Gur-Ari shares, "Tasks that would take weeks for a developer to learn can now be completed in a day or two." This efficiency is demonstrated by real results—one enterprise customer finished a project in two weeks that their CTO had initially estimated would take 4-8 months.
The technology is also valuable during critical incidents. Dietzen explained, "During a 2:00 AM outage, you can ask our chat about the issue and immediately get oriented toward the solution. You can trust the answer because the AI understands how all the components interconnect."
## Building the future of AI-augmented development
Augment envisions a future where AI transforms software development by elevating—not replacing—human developers. Dietzen said, "Our vision from the outset was to augment, not replace human software engineers. Humans have a deep understanding of how software should evolve to meet business needs. We want to accelerate development by removing the technical barriers that slow teams down."
Augment is a leader for this transformation in software development through their partnership with Anthropic and Google Cloud. "We're pushing the state of the art on AI capabilities," said Ostrovsky. "We're building agents that can accomplish larger tasks independently while gaining deeper understanding of organizational knowledge and data." By making their platform available to all developers while maintaining enterprise-grade security, Augment aims to give every software team the power to work at the speed and scale previously possible only at the world's largest tech companies.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## aura-claude-platform-api-case-study-claude-by-anthropic-4b59c18c5c.md
# Aura Intelligence enhances decision intelligence with Claude in Amazon Bedrock
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Partner:
AWS
Location:
North America
94% accuracy
in overall classification tasks
2-3 months to 30 min
title classification time reduction
Aura Intelligence is an AI-driven platform for Organizational Decision Intelligence (ODI). Aura uses Claude in Amazon Bedrock to transform billions of workforce data points into a trusted foundation for smarter decision-making for management consulting, private equity firms, and hedge funds delivering precise insights for critical business decisions.
With Claude in Amazon Bedrock, Aura:
- Achieved 94% overall classification accuracy, with 100% accuracy in tech, finance, and medical sectors
- Reduced title classification time from 2-3 months to a 30-minute automated process
- Lowered unclassified data rates to under 8% across industries
- Processes and analyzes over 200 million titles and industry pairings across multiple languages
## Meeting the workforce analytics challenge
Aura Intelligence helps analyze insights on hiring trends, skills evolution, workforce dynamics, and competitor benchmarks. Their initial system struggled with a fundamental challenge: making sense of job titles and roles across different industries and languages. Without AI capabilities, they relied on basic manual lookups and fuzzy matching to categorize roles. This manual approach couldn't capture crucial industry context. For example, a Vice President at a bank typically holds a mid-level position, while the same title in tech indicates senior leadership. With 200 million titles and industry pairings to analyze, plus data in multiple languages, Aura needed a more sophisticated solution.
## Choosing Claude for superior accuracy and seamless integration
After evaluating multiple AI models, Aura selected Claude in Amazon Bedrock for its superior accuracy and contextual understanding. "We ran four different models across competitors, and with Claude we had close to 94% accuracy," said Setareh Lotfi, technical leader at Aura. As a startup with limited engineering resources, they valued Claude's ability to deliver high performance without extensive fine-tuning. "We don't have as much engineering power these days. Something out of the box that solves the problem and doesn't need too many contexts and fine-tuning—that was the biggest evaluation gap," said Lotfi.
The accuracy was impressive in key industries, with Claude achieving 100% accuracy in tech, finance, and medical sectors. This enabled Aura to lower their unclassified data rates to under 8% across industries, a crucial metric for customers making significant financial decisions based on their insights.
## Maximizing AI capabilities with Amazon Bedrock
The Amazon Bedrock integration provided significant technical advantages through its seamless connection with Aura's existing AWS infrastructure. Lotfi said, "We were already using AWS services, particularly SageMaker for our data science stack. Having Bedrock align with our existing tools reduced development complexity and enabled better collaboration between our data science and engineering teams."
Amazon Bedrock's model customization and prompt management capabilities were essential for their role mapping project. The platform allowed them to fine-tune foundation models on their proprietary datasets without managing additional ML infrastructure. "We do classifications across locations—from different metropolitans to different zip codes. Tying it down to smaller data subsets for user interaction has been crucial," said Lotfi.
The integration also optimized their technical operations through prompt caching and vector search capabilities. With automated scaling and pay-per-use pricing, Aura could efficiently expand their multilingual content classification while maintaining accuracy across languages. Since everything stayed within the AWS infrastructure, they maintained robust security while scaling their AI capabilities.
## How Claude powers intelligent workforce analysis
Aura has transformed their ML pipeline from a traditional structure requiring multiple specialists to an efficient system where a single engineer can manage the entire process. Their solution now handles:
- Title classification across industries with context preservation
- Automated report generation
- Anomaly detection in workforce trends
- Sentiment analysis of company reviews
- Multilingual data processing and translation
- Real-time analysis of hiring and exit patterns
## Transforming decision making with AI-powered insights
Aura’s platform provides tailored solutions for different client needs. Lotfi said, “Private equity funds have a very different use case than a hedge fund. Whether you’re a private equity fund closely monitoring a small set of companies, or a hedge fund looking for macro industry trends, our new Reports feature will keep you updated.” With Aura’s Reports, clients can create a personalized data set and receive it on a personalized schedule, helping clients analyze portfolio companies and industry trends with unprecedented speed and accuracy.
For Aura's engineering team, Claude eliminated the need for Ωfour to five engineering sprints previously required for fine-tuning. The solution has also enabled automated QA processes, with AI-powered pipelines ensuring consistent accuracy at scale. This efficiency allows them to serve more clients while maintaining their lean startup structure.
## Building an AI-powered future for workforce intelligence
Aura aims to revolutionize how organizations access Organizational Decision Intelligence. Lotfi said, "We want to automate these reports and ensure people can access insights as quickly as opening their email, rather than building reports from scratch."
They're already expanding their impact, launching APIs with major high-frequency trading hedge funds and developing new sentiment analysis capabilities. By combining their deep understanding of workforce dynamics with Claude's capabilities in Amazon Bedrock, Aura continues to transform how organizations understand and act on Organizational Decision Intelligence.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## banner-health-claude-platform-api-case-study-claude-by-anthropic-3cb102a604.md
# Banner Health battles physician burnout with Claude-powered AI platform
[Get started](https://claude.com/solutions/healthcare#pricing-section)
Industry:
Healthcare
Company size:
Large
Product:
Claude Platform
Partner:
AWS
Location:
North America
85% of users
report time savings with improved work accuracy
20% of documentation time
Oncology physicians were spending a fifth of their documentation time between 6 PM and 6 AM—BannerWise with Claude is changing that
Advancing Claude in healthcare and the life sciences
Transform healthcare from insight to action
[Read more](https://www.anthropic.com/news/healthcare-life-sciences)
Claude for Healthcare
Claude helps healthcare organizations move faster without sacrificing accuracy, safety, or compliance. Less administrative work, more time with the people you serve.
[Read more](https://claude.com/healthcare)
[Banner Health,](https://www.bannerhealth.com/) one of the largest nonprofit health systems in the United States, operates 33 acute-care hospitals, 400 clinics, and a health plan with 1.2 million members. With more than 55,000 employees, the organization serves more than 3.5 million people across Arizona, California, Colorado, Nebraska, Nevada, and Wyoming.
## With Claude, Banner Health:
- Built BannerWise, an enterprise AI platform now available to 55,000+ employees
- Transformed oncology chart preparation from an after-hours labor to an efficient in-clinic process
- Achieved 85% of users reporting significant time savings alongside improved accuracy
- Deployed a privacy-preserving AI system within their existing AWS environment in under 30 days
- Created a foundation for reducing provider administrative burden by 50% over four years
## The problem
Like many health systems nationwide, a heavy and growing administrative burden was causing Banner's care providers to burn out. After a full day of patient care, physicians were spending two to three hours more each night on chart preparation and intake processes.
For oncologists, the challenge was particularly acute. Complex referrals required reviewing hundreds of pages of patient notes—lab results, imaging reports, treatment histories, consultation notes—to create a history of present illness. Twenty percent of hematology oncology physician documentation time was occurring between 6 PM and 6 AM.
"Oncology patients can come with a whole trove of medical records," said Dr. Gary Walker, the Chief of the Division of Radiation Oncology at Banner MD Anderson Cancer Center. "On extreme examples, you get a referral from perhaps another clinic where they could have 100, 200, 300 pages of documents that we have to go through."
Against the backdrop of a national provider shortage, Banner set an ambitious goal: by the end of 2029, achieve a 50% reduction of administrative tasks for clinicians while improving patient and provider experience. The challenge was to increase care access and capacity while letting medical professionals focus on caring for patients instead of doing data entry.
## Banner uses Claude for enterprise AI and clinical documentation
The solution was BannerWise—an enterprise AI platform powered by Claude Sonnet 4.5, now available to 55,000+ employees across Banner's hospitals and medical offices in six states. The platform handles everything from communications and content creation to knowledge retrieval and complex document analysis, with users gravitating toward three primary applications: document analysis and summarization (32% of usage), content creation (20%), and development support with code optimization (16%).
For oncology chart preparation specifically, BannerWise helps physicians and medical scribes synthesize patient records into comprehensive documentation. The system reviews incoming medical records—whether PDF documents from referring clinics or notes from within Banner's own system—and creates summaries that capture a patient's oncology journey, treatment history, and current status.
## Building BannerWise for healthcare transformation
Banner's technology teams brought the BannerWise vision to life, going from project approval to a functioning proof of concept in less than 30 days while fully focused on agent safety and reliability.
"We began building BannerWise when hallucinations and incorrect outputs were more common across model providers, and we were drawn to Anthropic's focus on AI safety and Claude's Constitutional AI approach to creating more helpful, harmless, and honest AI systems," said Mike Reagin, Banner's Chief Technology Officer. "We are encouraged by the pace of improvement and quality of output from the Claude family of models."
Integrating Claude into the organization's AWS environment was straightforward. Banner deployed Claude within its own AWS infrastructure to ensure patient data never left its secure environment—a critical requirement for healthcare. They've continued to iterate on BannerWise with monthly releases, adding features like Bedrock Knowledge Bases, document upload capabilities, a prompt library, and a prompt improver, all designed to empower users to apply the tool to new applications in hours rather than weeks.
"Getting Claude activated in our AWS environment was straightforward," Reagin shared. "We've built our stack with Amazon Bedrock, so the Anthropic models are readily accessible. The real magic started as we honed prompt structures optimized for Claude."
The impact on medical scribes has been particularly notable. Where training a new scribe previously required months of physician coaching and on-the-job learning, BannerWise enables scribes with minimal medical background to produce high-quality documentation within days.
"We can literally take a new scribe with very little training, and within a couple days they're producing a product that is better than our previous scribes would produce even after months or years of being a scribe," said Dr. Walker.
Rather than replacing staff, the system functions as what Dr. Walker called a "workforce amplifier." Built-in quality checks catch inconsistencies that humans would likely miss, such as records from a different patient inadvertently included in a file or mismatched dates of birth. In one case, the system flagged a date of birth discrepancy buried in documentation, “something that no human would ever catch,” Dr. Walker said.
"It allows me to focus more on the patient in front of me,” said Dr. Walker. "I can instead shift my focus to making sure I'm communicating well with the patient, and that they understand the treatment plan."
## The outcome
User surveys show a Net Promoter Score of +64, productivity impact ratings of 8.9 out of 10, and recommendation likelihood scores of 8.7 out of 10. Eighty-five percent of respondents report significant time savings alongside improvements in work accuracy and workflow efficiency. The oncology pilot has processed over 1,400 clinical notes since June 2025.
Banner is now expanding chart preparation capabilities across multiple specialties including neurology, cardiology, and infectious disease, with plans to aggressively expand to all other specialties in the coming years. The team is also developing an automation agent using Anthropic technology to streamline the workflow, which will be critical for broader adoption.
The organization put BannerWise in the hands of every Banner employee by the end of 2025 and is exploring Claude Code to transform software development practices. Future applications will extend across customer experience centers, revenue cycle operations, and supply chain management—demonstrating how a single AI platform can transform every kind of work found across a complex healthcare system.
"It certainly can amplify the ability of the physician, but even more so the medical scribes, MAs, nurses that are doing some of this chart prep," said Dr. Walker. "It allows them to function at a much higher level than they could with their level of training."
## Related stories
### How League went all in on Claude in a regulated industry
### League cuts product development cycle times in half with Claude
### How can a medical lab keep patients at the center of its work while the caseload keeps growing?
### How Zingage automates care coordination for 400+ home care agencies with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## base44-claude-platform-api-case-study-claude-by-anthropic-0d66d6c453.md
# Base44 uses Claude to transform app creation from weeks to hours for non-technical builders
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Medium
Product:
Claude Platform
Location:
North America
2M+ users
Base44, with Claude as its creative center for planning and UI, grew to 2+ million users globally in under 6 months.
Hours instead of weeks
Time from idea to working app reduced from multi-day development cycles to same-day deployment with Claude's "first draft" capability
[Base44](https://base44.com) makes app creation accessible to people who don't write code. The platform transforms natural language descriptions into fully functional applications with backend, database, user logins, and analytics. Now part of Wix, Base44 has grown to more than 10% of the AI-powered app builder market within months.
## With Claude, Base44 reached:
- **2M+ users in months:** Base44, with Claude as its creative center for planning and UI, grew to 2+ million users globally in under 6 months.****
- **7x growth in one quarter**: User base expanded sevenfold from June to September 2025 with 1000+ paying subscribers joining daily ****
- **Scalability of product development:** Claude enabled a very small team to build and maintain a much broader surface area of functionality (features, fixes, and iterations) than would otherwise have been feasible at that stage.****
- **Hours instead of weeks**: Time from idea to working app reduced from multi-day development cycles to same-day deployment with Claude's "first draft" capability.****
- **Community-validated model choice**: When given the option to choose their AI model, Base44's community consistently recommends Claude—particularly for UI design and app scaffolding.
## The problem
Most app-building tools required users to think like developers, creating a fundamental barrier for non-technical builders. People speak in ideas, not code. They describe what they want to accomplish, not how to architect it.
A product manager might say: "I need a dashboard that tracks customer feedback themes and shows which ones appear most often." Translating that sentence into a working application—with proper data structures, user authentication, real-time updates, and a clean interface—traditionally required development expertise.
Traditional approaches also struggled with design. Backend functionality might work, but interfaces looked raw and unfinished, requiring significant redesign before apps were usable. Teams still needed developers or designers to turn prototypes into production-ready applications.
Base44 needed an AI that could bridge both gaps—understanding intent from natural language and producing apps that worked and looked professional from the start.
## Selecting Claude for app generation
Base44 built a multi-model platform, giving users the choice of which AI to use for app generation. This architectural decision became an unexpected validation mechanism.
The team selected Claude Sonnet as the default "creative center" for several technical reasons—its ability to understand intent from broad prompts, generate clean code with proper structure, and produce polished interfaces. But the community validation reinforced the choice. As one Discord user put it: "If I want a UX change, I use Claude."
"Users in our Discord constantly share tips with each other," the Base44 team explained. "And one pattern emerged immediately: people kept recommending Claude, especially for UX improvements and getting apps started. When you give users real choice, they vote with their builds."
The team shared that Claude “performed better for our needs around design reasoning and code logic, which improved the quality and reliability of user-facing features.” Since then, Base44 has continued giving users access to Anthropic's most advanced reasoning capabilities through Opus 4.5 for even more sophisticated app creation. “Claude is central not just to how we build internally, but to the capabilities we expose directly to users,” the team shared.
## Claude powers every stage of app creation
Users can choose their model directly, and they frequently select Claude for starting new apps and refining interfaces. The platform also offers smart routing that automatically leverages Claude's strengths for these tasks, but users maintain full control to override these defaults. Many choose to use Claude manually.
Base44 integrated Claude via API in just a few hours, immediately slotting it into their multi-model pipeline. When users enter prompts, the system routes requests to Claude for initial app scaffolding, UI design, and code generation. Claude excels at maintaining consistency across the entire application structure.
"Claude sets up context and providers cleanly, uses hooks properly, and writes modular, production-ready code," said one Base44 user, demonstrating Claude's code quality advantage.
Claude now enables users of Base44 to:
- **Convert descriptions into functional applications**: Prompts like "build me an inventory tracker for my bakery" become working apps with proper data models and user flows
- **Produce polished, intuitive interfaces**: Creates professional designs that feel ready to use without redesign
- **Enable rapid iteration**: Helps users refine and debug their apps through natural conversation
- **Generate clean, modular code**: Writes production-ready code that properly uses hooks, context, and providers
- **Handle meta-tasks**: Assists with writing product requirements and breaking down complex features
Beyond individual app creation, teams use Claude for planning and documentation. "I describe all my ideas to Claude and ask it to help me with prompts in Base44," explained another user, showing how Claude supports the entire development workflow, not just code generation.
Internal teams at Base44 also rely on Claude for operational tasks. Marketing emails that previously required multiple tools and iterations now get drafted and coded in one place, showing how Claude's impact extends beyond the core product.
## The outcome
Base44 has changed who can build software. Product managers ship tools without waiting for engineering backlogs. Marketers create campaign dashboards themselves. Entrepreneurs test ideas the same afternoon they conceive them.
The impact is measurable: Base44 grew to 2+ million users in under six months, expanding sevenfold in a single quarter, with over 1,000 new paying subscribers joining daily. The platform captured more than 10% of the AI-powered app builder market within four months (June-October 2025), with Claude serving as the creative center that maintains consistent quality at scale.
This shift from weeks to hours isn't just about speed—it's about accessibility. Teams that never considered themselves technical now independently build and maintain their own tools. Building an app now requires describing what you want rather than knowing how to code it.
Base44 users have consistently praised Claude's design capabilities. As one user put it, "If I want a UX change, I use Claude." This feedback informed the platform's architecture, which routes design and UX tasks to Claude automatically.
Looking forward, Base44 continues to deepen its use of Claude across the platform. The team has already integrated agentic capabilities into Base44, with plans to further develop autonomous app behaviors as Claude's reasoning capabilities advance.
"As Anthropic delivers models with stronger reasoning, bigger context windows, and safer outputs, we'll fold those into Base44," the team explained. "The partnership is about more than technology—it's about making sure the people using our platform can trust the apps they build, and scale them with confidence."
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## benchling-claude-platform-api-case-study-claude-by-anthropic-c7c159d390.md
# Benchling accelerates scientific discovery with Claude in Amazon Bedrock
[Try Claude](https://claude.ai)
Industry:
Life sciencesBeneficial Deployments
Company size:
Small
Product:
Claude Platform
Partner:
AWS
Location:
North America
2 weeks
saved transforming complex data with Data Entry Assistant
Hours to seconds
for answering scientific questions with SQL Assistant
Benchling, a leading R&D platform for biotech, uses Claude in [Amazon Bedrock](https://aws.amazon.com/bedrock/claude/) to embed AI agents directly into scientific workflows, automating tedious tasks and accelerating innovation for researchers working with complex biological data.
With Claude, Benchling:
- Saves scientists up to 2 weeks spent transforming complex data with [Data Entry Assistant](https://www.benchling.com/blog/ai-agents-for-scientists)
- Improves data quality and experiment reproducibility with Notebook Check
- Speeds up answering scientific questions from hours to seconds with SQL Assistant
## Building AI into everyday scientific work
Building effective AI in life sciences is uniquely challenging. Biological data is fragmented, highly specialized, and riddled with complexity. Scientific workflows are nuanced and often opaque to machines. Intellectual property concerns loom large. Yet the potential is enormous—AI models that can analyze scientific data, draft regulatory filings, or generate novel hypotheses to suggest new research directions.
This is precisely the environment that Benchling was built for. As the R&D platform for biotech, Benchling is embedded in scientists' daily work—managing data, documenting experiments, running analysis, and powering collaboration. Now, with Claude in Amazon Bedrock, Benchling is embedding AI agents directly into these workflows to automate tedious tasks, speed up innovation, and set a new standard for AI in science.
"Up to 25% of scientists' time is spent on capturing and aggregating data," says Ashu Singhal, Benchling's co-founder. "Time that could be spent on actual science." Whether at universities or advanced biopharma companies, researchers still transcribe results by hand, aggregate data in spreadsheets, and meticulously check analyses line by line—all tasks that could be automated with the right AI solution.
## Why Benchling chose Claude in Amazon Bedrock
Benchling selected Claude in Amazon Bedrock after rigorous evaluation using domain-specific benchmarks with real scientific data and workflows. Claude 3.7 Sonnet consistently outperformed other models in accuracy, flexibility, and comprehension of scientific content.
"When we tested various models on complex scientific documents, Claude 3.7 Sonnet could understand and extract data from complicated file formats. It handled complex transformations that other models simply couldn't," said Singhal.
Security was equally important for Benchling's customers. Life science companies trust Benchling with their most valuable intellectual property—molecules and their associated data. Since Benchling is built on Amazon Web Services (AWS) infrastructure, using Claude in Amazon Bedrock provided essential security advantages by keeping AI within the AWS secure environment.
Singhal explained, "The ability to use models that stay within the AWS cloud, that are secured the same way as the rest of our product, dramatically increases our customers' trust in adopting AI." This seamless security approach addresses the data protection concerns that have historically made life sciences companies hesitant to use new AI services for their sensitive data.
## How Claude transforms scientific workflows
Benchling has launched three AI assistants powered by Claude, each targeting a critical pain point in scientific research:
- **Data Entry Assistant**: Transforms unstructured data from study reports or instrument files into structured, searchable records. This saves hours per study, reduces transcription errors, and converts disconnected documents into usable data. "Almost always in these external study data transcription processes there's some data error that happens," explained Singhal. By automating this process with Claude, Benchling significantly reduces these errors.
- **Notebook Check**: Automates the initial review process for scientific documentation, identifying errors and missing data before human reviewers see them. Over 100 organizations use this feature to accelerate reviews while catching mistakes that might otherwise go unnoticed.
- **SQL Assistant**: Enables scientists to generate database queries and dashboards using plain English. This helps teams, especially those with limited technical expertise, unlock insights buried in their data.
## Elevating research quality and accelerating discovery
Benchling's Claude-powered assistants are transforming how scientific research happens. Beyond simply saving time, these tools fundamentally improve research quality by reducing errors and standardizing data. For example, by automating manual data transcription—a process notorious for introducing errors—Data Entry Assistant helps prevent mistakes that would otherwise cascade through the research process.
"So much of science is about answering questions off of data," said Singhal. When information is automatically organized in standardized formats, researchers can investigate relationships that were previously hidden in disconnected documents, such as the exact correlation between drug formulation and effectiveness across multiple studies.
The impact extends beyond individual scientists to entire organizations. With standardized data formats, better documentation, and automated quality checks, teams can collaborate more effectively and build on each other's work with greater confidence. This creates a compound effect: not only do individual experiments move faster, but the collective knowledge of the organization grows more rapidly and reliably.
By removing the friction of manual workflows and scattered data, Benchling and Claude are helping research teams focus on what they do best: advancing scientific discovery.
## Building a future where AI accelerates scientific breakthroughs
Benchling envisions a future where AI fundamentally changes how science gets done. Their vision extends beyond automating routine tasks to creating AI systems that can design experiments, guide data collection, and optimize protocols in real time.
"Scientific use cases will push AI models in unique ways," says Singhal. "These are some of the hardest reasoning problems out there—and solving them will define the next generation of AI."
By working with Anthropic and AWS, Benchling aims to build AI systems that truly understand the scientific process and can contribute meaningfully to research. The goal isn't to replace scientists but to amplify their capabilities—helping them make connections across vast datasets, generate novel hypotheses, and ultimately accelerate the pace of discovery.
Benchling's mission reflects the urgency of scientific advancement. By transforming how researchers interact with their data and enhancing scientific decision-making, Benchling and Claude aim to help more life-changing treatments reach the patients who need them most.
## Related stories
### Mercy Corps on what AI makes possible in humanitarian work
### Mercy Corps accelerates global humanitarian response to community feedback with Claude
### How can a medical lab keep patients at the center of its work while the caseload keeps growing?
### The Epilepsy Foundation turns years of expert content into a personal epilepsy assistant with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## binti-claude-platform-api-case-study-claude-by-anthropic-54b5b4116d.md
# Binti modernizes child welfare systems with Claude
[Try Claude](https://claude.ai)
Industry:
Beneficial Deployments
Company size:
Small
Product:
Claude Platform
Location:
North America
50% faster
Home visit report writing time, from 3-4 hours to under 2 hours
20% reduced timeline
Family licensing timelines cut from 110 days to under 90 days
Binti is a technology company helping child welfare agencies modernize how they support children and families—so that every child can have a family. The company supports over 550 agencies across 36 states, serving 47% of children in care. Binti partners with state, county, and private child welfare agencies to streamline complex child welfare processes. By integrating Claude into their platform, Binti helps social workers make more informed decisions and spend less time on administrative work, so they can focus on connecting with families and driving better outcomes for children.
Anthropic’s work with Binti is an important partnership in social services as part of the broader “AI for Good” initiative.
## Measurable impact for child welfare agencies
Binti has driven significant impact for the more than 550 child welfare agencies and more than 12,000 social workers it supports. Binti has helped child welfare agencies:
- Reduce the time spent on administrative work by 20-40%
- Increase the number of foster & adoptive families approved annually by ~30%
- Reduce the number of days to approve foster and adoptive families by ~18%
- Approve over 100,000 foster and adoptive families total
Now, with Claude, Binti is able to drive even greater impact for agencies. Social workers using Binti’s AI tools have reported a 50% reduction in home visit writing time—from 3-4 hours to under 2 hours—with some seeing time savings as high as 75%.
## Critical work slowed by overwhelming administrative burden
Child welfare represents some of society's most important work—ensuring children have safe, permanent homes. Yet the systems designed to help these children often lead to social workers spending half or more of their time on administrative tasks instead of directly with children and families. There is a nationwide shortage of social workers. Social worker turnover is exacerbated by staff frustration with outdated tools such as 70-column Excel spreadsheets, paper forms, sticky notes, and 20 year old legacy government systems—leading to vital information slipping through the cracks, social workers getting burnt out, and suboptimal outcomes for children.
This administrative burden created real challenges. Felicia Curcuru, co-founder and CEO of Binti, said, "Social workers spend hours interviewing a family in person. Then they have to go back to the office and spend 6-8 hours writing their notes and assessment of the interview. Social workers got into this work to work with children and families, but they spend 50% or more of their time doing administrative work.”
## AI-powered features that transform daily workflows
Binti integrated Claude to power three core features that reduce administrative burden, help social workers make more informed decisions, and ensure they’re able to support all families:
- **Binti Form and Case Note Completion:** Social workers can record family meetings or upload handwritten notes, and they’ll receive AI-drafted documentation ready for review. Workers can upload recordings immediately after home visits—even from their cars—and return to the office with drafts already prepared, reducing report writing time from 3-4 hours to under 2 hours.
- **Chat with Binti AI:** Workers can instantly query case information using natural language instead of searching through hundreds of pages of documents. The AI cites its sources for every answer and includes feedback mechanisms for continuous improvement.
- **Binti Translate** Families can complete forms in their preferred language, with responses automatically translated for caseworkers. This reduces interpretation costs while ensuring non-English-speaking families can fully participate in the process.
Curcuru noted, "The technical integration with Claude was straightforward and user friendly for our engineering team. It allowed us to quickly launch AI-powered features, get them into the hands of social workers, and gather early, meaningful feedback."
## Selecting Claude for security and human-centered AI in child welfare
Binti needed an AI partner that could handle sensitive family data securely while respecting the human element of social work. Curcuru emphasized, "Agencies need absolute confidence that children's and families' personal information is completely protected." This meant HIPAA compliance, SOC 2 certification, and guarantees against training on client data.
After evaluating multiple AI models with mock family interviews, Binti chose Claude because it excelled at both security and appropriate boundaries. Curcuru said, "Anthropic prioritizes security and trust above everything else. They don't train on our data and made HIPAA compliance straightforward."
Beyond security, Claude maintained the right balance between advanced capabilities and responsible boundaries. Curcuru explained, "The AI accurately captures what families say and places it in the right form fields, but it never makes judgments about whether a family is suitable. Its purpose is to support social workers with more accessible information and less administrative burden—not to make decisions on their behalf."
## Rapid adoption across the child welfare system
This is just the beginning of the impact of Binti and Claude’s partnership. "I've rarely seen social workers this enthusiastic about a new tool," Curcuru observed.
After seeing the positive feedback and impact, agency directors have embraced the technology. Curcuru shared, "Leadership teams are focused on reducing burnout and retaining skilled social workers. When they see how much time this saves and hear how much their staff appreciates it, adoption happens quickly." Quality has improved alongside efficiency, with supervisors noting that "AI-assisted reports are consistently more thorough and accurate than what we typically see."
Families benefit from more engaged, present social workers. Curcuru explained, "When we share that AI will help with paperwork so the social workers can focus on their conversation and move the process forward more quickly, families are often very open to it. They want social workers’ full attention, not to watch them taking notes. And given how long the process can be, they’re excited about technology that helps reduce delays."
## Building a future where technology amplifies human compassion
Binti plans to expand Claude's role across the entire child welfare continuum while maintaining their commitment to human-led AI. "The positive response from social workers motivates us to develop more AI features that save time and reduce administrative work," said Curcuru. Future applications from identifying kin who can support a child to helping families access critical resources and more—always with human judgment at the center.
Working with Anthropic, Binti proves that the most powerful AI applications don't replicate human judgment—but clear away administrative obstacles so humans can focus on what matters most. Every child deserves a loving family, and by giving social workers the tools to spend their time where it counts, Binti is helping social workers around the country focus on social work, instead of paperwork, to help more children have loving families.
## Related stories
### Mercy Corps on what AI makes possible in humanitarian work
### Mercy Corps accelerates global humanitarian response to community feedback with Claude
### The Epilepsy Foundation turns years of expert content into a personal epilepsy assistant with Claude
### How the Epilepsy Foundation uses Claude across the organization
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## biomni-claude-platform-api-case-study-claude-by-anthropic-776fb37606.md
# Biomni accelerates biomedical discoveries by 100x with Claude
[Try Claude](https://claude.ai)
Industry:
Life sciencesBeneficial Deployments
Company size:
Small
Product:
Claude Platform
Location:
North America
800x faster
35 minutes vs 3 weeks for analysis
Human-level
performance on biomedical benchmarks
Biomni enables researchers to automate complex biomedical workflows—from literature reviews to bioinformatics analysis to wet-lab experimental protocol design—expanding research capabilities while maintaining expert-level accuracy.
**Key results with Claude**
- Completes wearable bioinformatics analysis in 35 minutes versus 3 weeks for human experts (800x faster)
- Achieves human-level performance on LAB-bench DbQA and SeqQA benchmarks
- Designs cloning experiments validated as equivalent to a 5+ year expert work in blind testing
- Automates joint analysis of large-scale scRNA-seq and scATAC-seq data to generate novel hypotheses
- Reaches state-of-the-art performance on Humanity's Last Exam and 8 biomedical tasks
## Biomedical research hits the complexity ceiling
Modern biomedical research generates overwhelming amounts of data. A single genomics experiment can produce thousands of files. Literature searches span millions of papers across dozens of subspecialties. Researchers need expertise in computational tools, statistical methods, and domain knowledge—all while racing to make discoveries that could save lives.
Stanford researchers behind Biomni saw their colleagues spending 80% of their time on repetitive tasks: searching literature, preprocessing data, and adapting protocols. Critical insights remained buried in unexplored datasets simply because humans couldn't process the volume. They realized the field needed more than incremental improvements—it needed an AI agent that could handle the full spectrum of research tasks autonomously.
## Selecting Claude for scientific precision
After extensive evaluation of AI models, the Biomni team chose Claude for its unique combination of scientific capabilities. "Claude demonstrated the best performance across our benchmarks, particularly in scientific and biological knowledge, coding ability, and agentic workflows," said Huang.
The decision came down to three critical factors. First, Claude's deep understanding of biology set it apart from competitors. "When we tested identical tasks across different models, Claude showed superior understanding of biological concepts," Huang explained. "It clearly has extensive biological knowledge embedded in its training."
Second, Claude's 200,000 token context window proved essential for handling the massive scale of biomedical data. While other models truncated information and lost critical details, Claude processed entire genomic analyses, multi-gigabyte datasets, and thousand-page studies without missing crucial connections.
Finally, Claude demonstrated true scientific reasoning capabilities—synthesizing findings across disciplines, generating testable hypotheses, and identifying patterns that human researchers might miss. This combination of knowledge, capacity, and reasoning made Claude the clear choice for powering Biomni's ambitious vision.
## How Claude powers autonomous research
Biomni leverages Claude through their generalist agent architecture:
- **Unified environment access**: Connects to 150 tools, 59 databases, and 106 software packages curated from 2,500+ papers
- **Dynamic workflow composition**: Creates input-specific, biologically meaningful step-by-step plans on the fly without predefined templates
- **Multi-modal data processing**: Analyzes genomics, proteomics, imaging, and clinical data simultaneously
- **Protocol generation**: Designs detailed experimental procedures matching expert standards
- **Cross-domain synthesis**: Identifies connections between disparate research areas to generate novel hypotheses
## Transforming how science gets done
Biomni's impact extends beyond time savings. By handling routine analysis, the system frees researchers to focus on creative problem-solving and experimental design. A single scientist can now pursue multiple research threads that previously required entire teams.
The 100x speedup in bioinformatics analysis changes what's economically feasible. Researchers can now test hypotheses that would have taken months of setup in just hours. One team discovered novel transcription factors regulating skeletal lineages—a finding that emerged from Biomni's comprehensive analysis of massive single-cell datasets. For resource-limited labs, Biomni democratizes access to cutting-edge analytical capabilities. Researchers compete on ideas rather than computational resources or team size.
## Building the future of AI-augmented science
The Biomni team envisions AI agents as true research partners. As biomedical data grows exponentially, human researchers need AI that can navigate vast knowledge landscapes, surface unexpected connections, and accelerate the path from hypothesis to discovery. Biomni is designed with flexible autonomy—scientists can choose how much control they retain, from co-pilot mode to fully automated execution, depending on the task and their preferences.
Their collaboration with Anthropic continues to push boundaries. With each improvement in Claude's capabilities, Biomni expands what's possible in automated research. Thanks to the collaboration with Anthropic, Biomni is now freely accessible to scientists around the world at biomni.stanford.edu. Biologists everywhere can start delegating their research tasks to Biomni today. Together, they're working toward a future where AI amplifies human scientific creativity, enabling discoveries that improve health outcomes worldwide.
## Related stories
### Mercy Corps on what AI makes possible in humanitarian work
### Mercy Corps accelerates global humanitarian response to community feedback with Claude
### How can a medical lab keep patients at the center of its work while the caseload keeps growing?
### The Epilepsy Foundation turns years of expert content into a personal epilepsy assistant with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## bito-claude-platform-api-case-study-claude-by-anthropic-ce48eea40a.md
# Bito powers agentic AI tools for software development with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
89% reduction
in pull request cycles
\$14 ROI
for every \$1 spent on AI code review
Bito leverages Claude to create AI agents that transform how over 100,000 developers worldwide write, review, and ship code, revolutionizing software engineering workflows.
With Claude, Bito:
- Reduces pull request cycles by 89%
- Lowers code regressions by 34%
- Helps engineering teams save a full workday per sprint
- Delivers \$14 ROI for every \$1 spent on AI code review
## Pioneering how developers integrate AI into their workflows
When Bito launched their AI-powered developer agents in 2023, they were early pioneers bringing large language models into code-writing environments. Amar Goel, CEO and Co-Founder of Bito, explains, "When we started building Bito, our main objective was to seamlessly integrate AI into software developers' everyday workflows, increasing productivity and efficiency in writing excellent, clean code."
Bito's mission was to enhance software team operations. Their first innovation was an AI Code Review Agent that "completes a detailed code review like a human," followed by more advanced tools like Bito Wingman, "a coding agent that understands complex commands and acts on your behalf," according to Goel. The challenge was creating a solution that provided developers with real-time contextual support while maintaining high security standards—a tool for code generation, error handling, and architectural advice.
## Choosing Claude for superior reasoning and coding capabilities
After evaluating various AI models, Bito selected Claude. Goel said, "We chose Claude for its superior understanding of complex technical queries and safe handling of sensitive data. Its ability to understand and generate executable code set it apart from other LLMs." Three key capabilities made Claude the perfect match for Bito's requirements: its powerful reasoning abilities that provide incredible agentic capabilities to Wingman, superior context management for navigating large codebases and interconnected files, and a robust approach to data protection that ensures no customer code is stored and no customer code is used for training models.
Thanks to Anthropic's developer-friendly infrastructure, the implementation process was smooth. Goel explained, "Integrating Claude in Bito Wingman was seamless due to Anthropic's well-structured API and documentation. The extended context window enabled Bito’s AI Code Review Agent and Wingman to analyze entire code files and complex pull request diffs, providing detailed suggestions and architectural insights."
## How Claude powers Bito's developer productivity solutions
Bito uses Claude to transform engineering team workflows across their tools, including:
- **AI Code Review Agent**: Bito transforms code review by leveraging Claude's extensive context window to analyze diffs, file relationships, and architectural patterns within pull requests. The system provides semantic feedback on code quality, identifies anti-patterns, and flags potential security flaws, with suggestions delivered as comments within the pull request and the engineering teams' Git workflows.
- **Bito Wingman**: This coding agent takes meaningful action across the development ecosystem. Developers interact with a coding agent that can execute complicated commands and take action. From integrations with Jira and Confluence, Wingman can retrieve and understand scoped tasks then write or refactor code before compiling, reviewing, and testing. Claude 3.7 Sonnet provides this advanced reasoning capabilities.
- **IDE Extensions**: Bito integrates Claude's capabilities into popular development environments like VS Code and JetBrains, ensuring AI assistance is available where developers need it without disrupting established workflows.
## Transforming software development for teams worldwide
Bito's Claude-powered tools have transformed engineering workflows with measurable results. Goel confirms that based on feedback from companies like PubMatic, Gainsight, and Privado, "Bito's AI tooling boosts pull request cycles to be 89% faster — 1/10th the time from open to merge — with 34% fewer regressions." The impact extends beyond technical efficiency to financial returns, with teams reporting a "\$14 return per \$1 spent on AI developer tooling" while recovering "1 full work day per sprint" previously lost to tedious review processes.
Bito delivers exceptional value for mission-critical applications. On-Board Data Systems (OBDS), which develops aircraft software, has seen remarkable results. In its first month developing software for aircraft with Bito, OBDS's engineering teams found 473 issues across 136,500 lines of reviewed code. OBDS's team accepted 22% of Bito's suggestions without modification. The impact extends to Bito, whose internal product development has accelerated significantly. One employee compared the experience to "using Tesla Autopilot for the first time. It's a remarkable improvement to the status quo."
## Building the future of software development with AI
Bito envisions AI transforming the coding experience. Goel said, "Bito Wingman pushes the boundaries of 'coding' in 2025," highlighting the shift from assistive tools to agentic systems acting on developers' behalf. This vision centers on tools that don't just augment existing workflows but pioneer new approaches to software creation.
The ongoing partnership with Anthropic is crucial to this transformation. Goel said, "Anthropic's innovation and platform accessibility are crucial to Bito's mission to redefine developer productivity." Together, Bito and Anthropic aim to refine Claude's capabilities for software development, building a future where AI and human developers collaborate seamlessly to create better software faster than ever before.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## blank-metal-claude-cowork-case-study-claude-by-anthropic-05d6bfa267.md
# How Blank Metal, a lean professional services firm, runs on Claude Cowork
[Try Claude](https://claude.ai)
Industry:
Professional services
Company size:
Small
Product:
[Claude Cowork](https://claude.com/product/cowork)[Claude Code](https://claude.com/product/claude-code)[Claude Enterprise](https://claude.com/solutions/enterprise)
Location:
North America
+700 people trained
in Claude Code and Cowork
90% of engineering work
runs through Claude Code
Cowork
Give Claude access to your local files and let it complete tasks autonomously. Agentic capabilities for non-technical knowledge work.
[Read more](/product/cowork)
[Blank Metal](https://www.blankmetal.ai/) is an AI-native engineering firm that helps enterprises take AI from pilot to production. Founded in 2025, the team of 30 runs its own operations on Claude before deploying anything for a client. We spoke with Elli Rader, Chief Revenue Officer, about how the team uses Claude Cowork and Claude Code to handle business development, scheduling, and the day-to-day work of getting a company off the ground.
## Anthropic: How central is Claude to the way Blank Metal operates day to day, and which products is your team actually using?
**Elli Rader, Blank Metal:** All of us at Blank Metal are superpowered by Claude. The primary tool is Claude Cowork, which is where the team handles everything from client-facing deliverables to internal workflows to daily tasks. On the engineering side, Claude Code is where our developers live. Every engineer is fully committed to it, and it powers around 90% of the work we do across internal projects and client builds. The API is what gets deployed for client implementations.
For a small company, Claude is a structural advantage. Work that used to take days, whether that's data analysis, forecasting, or research, now gets done in minutes, and repetitive tasks that used to require someone's full attention can run in the background, which frees people up for higher-leverage work. We've built a set of internal skills to eliminate the friction points that would otherwise slow the team down, and anything that can be packaged into a reusable skill gets shared across the org, so the whole team gets faster every time someone solves a problem once. Even our brand voice and visual guidelines are embedded through skills, so everything that comes out of Cowork, such as decks, docs, and deliverables, aligns automatically rather than being applied individually. The team also builds artifacts, dashboards, and HTML-based visualizations for client presentations. At the end of the day Claude isn't just a tool we use, it's how we scale, build, and grow in a leaner way. Every person on the team is more capable because of it, and that's the whole point.
## For a while you were essentially a one-person business development operation. What was at stake as the leads started coming in?
**Rader:** We just simply wouldn't have been able to handle the volume of leads. Clients would have been very frustrated at not getting a fast response, and they would have gone elsewhere. As a new company, it's vital that we build strong relationships with the people coming to us to grow our business and theirs, so we can't afford to slip in BD operations. Claude has been an absolute lifesaver.
## Was there a specific moment when you realized Cowork was going to change how you work?
**Rader:** For me it was the day I built a lead processor plugin. That was the moment I realized how much Claude could actually do without me needing to loop in engineering every time I had an idea. That unlocked my creativity, once I saw what was possible, I just kept going. Now I have a whole list of scheduled activities and live artifacts I've built to keep myself productive. It stopped feeling like a tool and started feeling like having an extra person on the team who's always ready to help.
## Walk me through that lead processor. What did handling a lead look like before, and what does it do now?
**Rader:** With anywhere from 3 to 10 leads coming in daily, the manual version meant days of research, scoring, and data entry. The lead processor doesn't operate in isolation. It pulls from all of our plugins and custom-built skills at once, and the result is a complete picture of how well a potential client aligns with what we actually offer, without anyone piecing it together manually. When a new lead comes in, it scores a fit rating, creates the deal in HubSpot, pulls contact info, and posts a summary to Slack. A full day's volume now gets handled in a couple of hours.
The first pass took about 20 minutes to build. We're on our third version now, so roughly an hour of total development time from the beginning. We have also invested in using the plugin and considering the ways it could be improved. It saves us at least a couple of hours a day processing leads across four people.
## What else has the team built into Cowork beyond lead processing?
**Rader:** Scheduling was a big one. Before the calendar automation, the team was spending at least an hour a day manually cross-referencing a locked-down Microsoft calendar against Google Calendar just to find availability. Now it's a single prompt. We type in who we need and the name of the client, and it automatically puts holds on everyone's calendars and gives us a bulleted list to paste into an email sharing availability. When the client chooses one, we tell Claude, and it goes back to finalize the right time, invite the client, add a Zoom line, and delete all the other holds. I built it as a project in Cowork. I started it as a task, and when it began giving me errors after a couple of weeks, Claude suggested I turn it into a project, so I did.
Proposal and SOW generation is another one. What used to be a multi-hour drafting process is now a structured first draft in minutes. Competitive research on prospects gets pulled together before calls so the team walks in prepared, and afterward the conversation is analyzed by a meeting processor skill.
## You build all of this inside Cowork rather than writing custom software around it. What makes Cowork work as an operating layer, rather than just a place to chat with Claude?
**Rader:** It starts with the work, what does this actually need to do? The question we keep coming back to is can this model operate inside the workflows people already live in, or does it create another context switch? Watching Cowork roll out, on our own team and across client teams, was the structural moment: it isn't just a chat window, it's a workspace. Connectors to Salesforce, Slack, and M365 meant Claude could operate inside actual business workflows. Skills meant solutions could be packaged and shared org-wide. The Excel and PowerPoint add-ins met people inside the tools they were already living in.
## You've trained more than 700 people in Claude Code and Cowork. How have you been able to scale it?
**Rader:** We're up to about 710 as of June 1. A big part of how we've scaled that is Lectern, a real-time live training companion we built internally to run Claude Code and Cowork sessions. The presenter controls a shared session, and participants can either follow along in real time or navigate the material at their own pace. Most people run it side by side with their terminal so they can implement immediately rather than just watching a demo. You're not just learning about Claude, you're building with it at the same time. So it's Claude all the way through: Claude is training people on Claude so they can build with Claude.
A good amount of our team has a lot of background in edtech. We've built tools and products that have taught millions of people, and our lead AI engineers used to be teachers.
Claude Code
Anthropic's agentic coding tool. Claude Code understands your codebase, edits files, runs commands, and helps you ship faster.
[Read more](/product/claude-code)
## How do you keep up with Claude updates as a small team?
**Rader:** With Claude updates coming almost weekly, we're constantly learning what's new, rolling it into our training and builds, and working hard testing almost all of it on our internal platform, called Shippy. Powered by Claude, Shippy lets us take on work that would normally be well beyond a team our size.
We pay particular attention to what comes off the shelf from Claude, and dig deep into what needs deep customization. Our goal is to help our clients effectively use what they can without having to build and maintain a lot themselves, and also help them build tools and products that are hyper-specific to their unique needs when “off the shelf” isn’t enough.
## What's the one thing you'd tell another team getting started with Cowork?
**Rader:** Start with the [Cowork training](https://anthropic.skilljar.com/introduction-to-claude-cowork). Give teams the opportunity and support to build their own things and it will unlock a ton of their creativity that ultimately will drive better use cases.
## Related stories
### Caylent turns months of migration work into days with Claude Agent SDK
### How can a two-person fabrication studio make room for problems it’s never solved before?
### LG CNS modernizes 20-year-old enterprise systems with Claude
### Quantium scales Claude across Australia's largest enterprises
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## block-claude-platform-api-case-study-claude-by-anthropic-9cf0b0590c.md
# Block improves employee productivity and data access with Claude in Databricks
[Try Claude](https://claude.ai)
Industry:
Financial services
Company size:
Large
Product:
Claude Platform
Location:
North America
75% of engineers
saving 8-10+ hours weekly
100% success
on benchmark tests with Claude 3.5 Sonnet
Block—the company behind Square, Cash App, Afterpay, and other financial services—uses Claude on the Databricks Data Intelligence Platform as the default model to power the internal deployment of its open source AI agent, codename goose. This solution enables employees across all roles to interconnect internal tools and systems, analyze complex data, create SQL queries without technical knowledge, and automate workflows—transforming how their organization operates.
With Claude in Databricks, Block has seen:
- 75% of engineers saving 8 to 10+ hours every week using codename goose — accelerating velocity and cutting down on busywork
- codename goose adoption doubling in just one month with user engagement increasing 40-50% weekly as employees discover new use cases
- Claude 3.5 Sonnet becoming the only model to consistently achieve 100% success on [their benchmark tests](https://block.github.io/goose/blog/2025/03/31/goose-benchmark/)
## Giving more employees access to data insights
Block has vast data resources and needed a way to make them accessible to employees regardless of their technical background. The company had long used Databricks for data engineering but recognized an opportunity to combine these capabilities with large language models and their internally built technology to democratize data access throughout the organization.
Bradley Axen, Principal Data and Machine Learning Engineer, explained, "We've worked with Databricks for years as our primary data engineering platform, using their Spark capabilities for our data processing needs."
The company initially created an AI coding assistant, codename goose, but quickly realized its potential extended far beyond software development. Axen said, "goose started as a simple tool to help my team write better code. It began as a basic feedback loop. Since then, it has evolved dramatically. This might sound exaggerated, but it's true—90% of my lines of code are now written by goose. Part of that is because I want to use the tools I'm building, but it's also because the tool has become that effective."
From design to product development, thousands of Block employees across all job categories are now using Claude via Databricks, sometimes without even realizing it, and it’s freeing them up for bigger, more creative thinking.
## Superior performance and security with Claude in Databricks
After rigorous benchmarking, Block found Claude has consistently outperformed other models in codename goose, to date. "For the tasks we care about measuring specifically, the Claude family has performed the best," noted Axen.
Security was another critical factor in their decision. "We care deeply about secure data integrations. When we connect to Databricks, we can use OAuth with short-lived credentials. So every employee now has access to these LLMs without us having to distribute and manage API keys," Axen emphasized. This security infrastructure allows Block to "flip a switch and make new models available to everybody," providing immense flexibility for their platform team.
Block particularly values Claude's tool use and code generation capabilities. They strategically employ different Claude models based on the specific task at hand—choosing Claude 3.5 Sonnet for complex data analysis requiring sophisticated reasoning, and Claude 3.7 Sonnet for requests that require more steps and planning.
## Transforming data access through agentic workflows
Block integrated Claude in Databricks with goose to create an ecosystem connecting multiple data sources and tools. "With our agent-based approach, we've created a complete workflow loop," said Axen. "We run the LLM through a Databricks endpoint, connect it to our agent system goose, and then goose can call back to Databricks to access our databases and datasets."
This approach allows employees across departments to interact with data more efficiently:
- SQL generation without technical knowledge: The model writes SQL, sends it to the data endpoint, and brings back insights. Someone without SQL knowledge can solve their own data problems, enabling product teams and non-technical employees to answer data questions without waiting for data scientists.
- Complex data feature engineering: Engineers created a system that teaches Claude to write code for Block's internal Beacon service. An MCP server teaches the LLMs on Databricks how to submit code to Beacon, allowing machine learning engineers to create sophisticated data features without deep knowledge of Block's backend systems.
- Multi-tool data workflows: codename goose uses MCP to connect diverse systems. Block can build an MCP server for any internal tool and connect it to workflows. This allows the operations team to use AI to close case tickets and helps departments access the data they need.
This agentic approach aligns with Block's broader vision. "The big opportunity is having an LLM translate someone's intent into actions on our systems. That's going to change how we offer products to customers and how we work internally," Axen noted.
## Creating a data-driven culture with measurable results
Block's Claude in Databricks implementation has gained significant traction internally. Around 4,000 of Block's 10,000 employees actively use goose, with adoption across 15 different job profiles from sales, design, product, to customer success, operations, and beyond.
The impact on productivity is substantial, particularly in how quickly teams can access insights. It's been a huge deal for Block because someone who doesn't know SQL can now solve their own data problems.
One team that also benefits is design. Axen explained, "The barrier to entry for a designer to turn their idea into a working prototype was too high, so they often wouldn't. Now that barrier is almost entirely gone. You can say, 'Here's a web page in Figma. Let's make a functioning version,' and it does it." This has fundamentally changed the design workflow, enabling designers to build and test functional prototypes before sharing them.
## Building a future powered by accessible data and agentic AI
Block envisions a future where data access is fully democratized through agentic AI systems. "The ceiling isn't saving 100% of your time. It's actually higher because you can have a whole team of agents working on your behalf, doing more than you could alone," said Axen.
While Block aims to save 30% of employee time through AI in 2025, their vision goes beyond efficiency. "It's about enabling our people to act on all our good ideas. Over the coming years, jobs will change. People will still solve challenging problems, but they'll spend less time writing code," Axen explains. Block's goal is to shift from being constrained by delivery speed to being limited only by how fast they can innovate.
While focused on internal productivity today, Block is strategically developing customer-facing AI products. "We're learning what works and how to make it easier for people to pick it up," explains Axen. Though some agentic products already exist in their ecosystem, Block is prioritizing quality before wider deployment. Their internal implementation of codename goose serves as both a productivity tool and a vital testing ground, developing the infrastructure and design principles that will power their next generation of customer offerings.
Block is creating a future where every employee can unlock the full potential of their company's data by combining Claude's advanced reasoning capabilities with the Databricks Data Intelligence Platform through codename goose. This partnership enables Block’s workforce to embrace AI-assisted workflows, turning their vision of economic empowerment into reality through technology that makes sophisticated data analysis accessible to all.
## Related stories
### How Qonto delegates financial admin for small businesses with Claude on Amazon Bedrock
### Pictet turns weeks of work into hours with Claude Code
### How Satispay's engineers write 75% of their code with Claude
### OffDeal powers every stage of M&A advisory with one Claude-based agent
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## blueflame-claude-platform-api-case-study-claude-by-anthropic-a04ed8bdc0.md
# BlueFlame AI empowers lean investment teams to achieve institutional-scale analysis with Claude
[Try Claude](https://claude.ai)
Industry:
Financial services
Company size:
Small
Product:
Claude Platform
Location:
North America
Minutes not hours
document analysis time reduction
30 queries daily
average client usage
BlueFlame uses Claude to give small investment teams enterprise-grade analytical capabilities, enabling lean teams to analyze vast document sets and uncover insights at institutional scale—without needing in-house technical expertise.
With Claude, BlueFlame:
- Enabled small teams to perform institutional-scale analysis previously requiring large technical departments
- Reduced document analysis time from 4+ hours to minutes
- Supports and average of 30 client queries per day
- Automated comparison of hundreds of companies simultaneously
## Bridging the resource gap for sophisticated investors
Alternative investment managers face a critical challenge: they need to perform sophisticated financial analysis at institutional scale, but operate with lean teams. "We serve lean organizations— businesses with institutional expectations. Some may have 50 people managing a very significant pool of capital," said Henry Lindemann, COO and Co-founder of BlueFlame.
"Our clients are very sophisticated in terms of finance and analytics, but they often don't have in-house development teams," said Ed Chu, CTO at BlueFlame. When analyzing vast amounts of unstructured data—like private equity deal rooms full of documents—these lean teams need enterprise-grade tools that don't require technical expertise.
## Choosing Claude for enterprise reliability and accuracy
BlueFlame selected Claude specifically to meet the stringent requirements of financial institutions. "Financial institutions have very low risk tolerance," said Chu. "From a trust and security perspective, Anthropic was clearly ahead of the competition."
Consistency and reliability were paramount. "Our clients expect deterministic outcomes—they can't afford randomness in their analysis," said Chu. "Through our testing, Claude has proven to be consistently reliable." Claude's vision capabilities were crucial for analyzing financial documents rich with charts and graphs.
## Delivering enterprise-grade analysis to lean teams
BlueFlame's platform democratizes sophisticated analysis capabilities, providing customers:
- Automated processing of deal room documents
- Simultaneous comparison of hundreds of companies
- Portfolio-wide KPI extraction and analysis
- Generation of tailored investment insights
- Comprehensive due diligence automation
The platform doesn't just save time—it enables small teams to perform analysis that was previously impossible without large technical departments. "This isn't just about saving time—we're enabling analysis that was economically unfeasible before," said Lindemann.
BlueFlame helps teams work smarter by surfacing insights they might have missed. "Our clients know what they want from their data, but they don't always know all the questions to ask," said Lindemann. "We help them discover both questions and answers."
This capability has proven transformative for both clients and BlueFlame's business. "We're able to do something unique in the market," said Lindemann. "It's driving client acquisition and retention, while proving that generative AI really works for investment firms."
## Looking forward
BlueFlame sees AI as key to leveling the playing field in investment analysis. "As teams get more comfortable with the technology and it improves, we see AI playing a bigger role in the investment decision process itself," said Chu.
The company views their partnership with Anthropic as crucial to realizing their long term vision. "The partnership between Anthropic's horizontal technology and BlueFlame's vertical application delivers the best of both worlds to clients," said Lindemann. Together, they're democratizing institutional-grade analysis capabilities, enabling lean teams to compete effectively in an increasingly sophisticated investment landscape.
## Related stories
### How Qonto delegates financial admin for small businesses with Claude on Amazon Bedrock
### Pictet turns weeks of work into hours with Claude Code
### How Satispay's engineers write 75% of their code with Claude
### OffDeal powers every stage of M&A advisory with one Claude-based agent
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## bluenote-claude-platform-api-case-study-claude-by-anthropic-4011d63664.md
# Bluenote powers intelligent agents for life sciences with Claude
[Try Claude](https://claude.ai)
Industry:
Life sciences
Company size:
Small
Product:
Claude Platform
Location:
North America
10x faster analysis
for scientists parsing complex protocols
50-75% acceleration
in regulatory document production
Bluenote uses Claude to build AI agents that power critical operations for life sciences organizations—from regulatory workflows and technical documentation to manufacturing and supply chain operations—enabling researchers to focus on science instead of paperwork.
With Claude, Bluenote agents:
- Generate complex multi-hundred page scientific documents with in-text tables, figures and citations in minutes.
- Accelerate regulatory and compliance document production by 50-75%.
- Enable scientists to parse complex protocols and execute their analyses 10x faster.
- Identify gaps in existing documentation based on the latest regulatory guidelines, and propose opportunities for increased compliance and quality.
- Securely retrieve data from clients’ data warehouses and quality management systems for end-to-end data traceability and consistency.
## Building agents for highly regulated biomedical operations
Bringing a new treatment to market demands as much paperwork as it does research. For example, regulatory submissions, clinical trial reports, and quality validations are all essential parts of the process, but can take days or weeks of a researcher's time—time spent on documentation that could be spent on medical breakthroughs.
Bluenote deploys AI agents that automate this critical, but often manually-intensive and tedious work. Their agents process regulatory documents, generate technical reports with proper citations, and handle complex multi-step workflows—all with robust guardrails, data traceability, and highlighted calls to action for human experts to contribute additional context and review.
"No PhD scientist with 20 years of experience wants to spend half their time on FDA paperwork," explains Fatima Sabar, CEO and Founder of Bluenote. By integrating with existing systems and data warehouses, Bluenote meets its subject matter experts where and how they work, without disrupting established practices or compromising regulatory standards.
Grounded in a decade of building AI-powered products for scientists and clinicians, Bluenote was founded to bring that same trust and precision to life sciences operations. “Working with Claude helps us bridge the gap between cutting-edge, fast-moving AI and the deliberate, high-stakes work of science.” Sabar adds, “Every breakthrough in AI is a chance to make life sciences faster, safer, and drive operational excellence.”
## Why Bluenote chose Claude
In an industry where trust is paramount, Bluenote partners with AI leaders who share their commitment to responsibility and precision. "What brought us to Claude was deep alignment around reliable and responsible AI,” says Sabar. "In life sciences, the bar is extremely high for accuracy, traceability, interpretability, and data provenance."
Bluenote employs a sophisticated model orchestration approach, with Claude as their default model for scientific, technical reports. "We support a suite of foundation models behind the scenes and use smart routing to pick the best model for each task," explains Bluenote CTO and Founder, Katsuya Noguchi. "Claude is our default for high-stakes regulatory and compliance documentation.”
Claude's citation capabilities are crucial for regulatory documentation. "For medical and technical documentation, tracing content back to source data at a granular level is critical for quality control and audits,” Noguchi adds. "Claude allows us to deliver high quality, reliable outputs that can be traced back to sources for our clients."
## How Bluenote's agents transform life sciences workflows
Bluenote built three types of specialized agents using Claude:
- **Document processing agents** extract key information from scientific documents in minutes instead of hours. These agents scan through hundreds of pages to identify critical data points, research findings, and regulatory requirements.
- **Technical documentation agents** create regulatory documents with proper citations. These agents generate study reports, validation documentation, and compliance forms needed throughout the drug and device development process.
- **Multi-step workflow agents** automate complex processes from start to finish. These agents handle analyses, assessments, and document or form generation across multiple stages with minimal supervision while maintaining strict regulatory compliance.
## Intelligent agents delivering measurable impact
Claude-powered agents create substantial value for Bluenote's life sciences clients—transforming critical workflows while maintaining the rigorous quality standards required in healthcare. Rather than providing isolated point solutions, Bluenote's agents deliver comprehensive support across the entire life sciences lifecycle.
Guardant Health, a leading precision oncology company, has integrated Bluenote's AI agents across key operations. Many of their workflows involve complex scientific and regulatory documentation that must adhere to numerous guidelines.
“With Bluenote's platform, we leverage the most advanced AI models that are optimized for each task,” explains Kenny Speer, Vice President of Bioinformatics Software Engineering at Guardant Health. “Bluenote’s AI agents powered by Claude generate first drafts of critical documents in minutes rather than days, while intelligently flagging areas that need human expert review. In lab operations, our QC agents have boosted specialized workflow efficiency by 40-50%. By equipping our teams with these sophisticated tools, we're accelerating how quickly we can move lifesaving innovations to patients."
Guardant’s perspective is echoed more broadly across the industry by leaders who see AI agents as a way to accelerate timelines without compromising quality.
“My 20+ years as a transplant surgeon taught me that for patients waiting for better therapies, time is the most precious resource,” explains Dr. Eliezer Katz, Chief Medical Officer of Eledon Pharmaceuticals. “Over the years, I’ve observed the parallel advancement of technology and medicine—and now, with the emergence of AI, we’re at the start of another transformative chapter. As CMO, I’m excited to see reliable and intelligent AI agents redefine drug development timelines. Across critical functions like Clinical Operations, CMC, and Safety, we can streamline operational complexity—all while preserving the quality standards that ensure patient safety. When we reduce development timelines, we’re not just improving operational metrics—we’re giving patients back precious days of quality life.”
## Accelerating biomedical innovation through AI partnership
Bluenote's journey with Claude-powered agents is rapidly expanding. Biopharma leaders working to tackle the world’s toughest diseases are partnering with Bluenote to develop increasingly sophisticated agents that handle more complex work across the drug, device and diagnostic lifecycle.
“Our vision is to enable every life sciences organization to increase their operational velocity and get their safe and effective biomedical breakthroughs into the hands of patients as quickly as possible. Every day counts,” said Sabar.
The future promises agents that not only process documents and execute operational workflows, but also those that actively contribute to scientific processes. As Claude's capabilities advance, Bluenote envisions agents that can analyze vast repositories of institutional data, generate novel hypotheses, and act as true copilots for every scientist and life sciences professional.
“We envision Bluenote as a deeply embedded layer of intelligence that supports life sciences from discovery through development and delivery, and evolves alongside the science itself.” says Sabar. “Partnering with Anthropic means we can bring the most advanced AI capabilities into life sciences operations—while holding to the highest standards of accuracy, traceability, and quality.”
For patients waiting for life-saving treatments, this collaboration represents hope. Every hour saved from administrative tasks is an hour that scientists can dedicate to innovation. In this vision of the future, AI augments human expertise, creating a world where medical breakthroughs happen faster and reach those who need them most.
## Related stories
### How can a medical lab keep patients at the center of its work while the caseload keeps growing?
### How the Garvan Institute is changing the way it does science with Claude
### Novo Nordisk accelerates clinical documentation and drug development with Claude
### Biomni accelerates biomedical discoveries by 100x with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## bolt-claude-agent-sdk-case-study-claude-by-anthropic-56b5236955.md
# Bolt builds autonomous design system agent on the Claude Agent SDK
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Startup
Product:
Claude Agent SDK
Location:
North America
~53-minute average autonomous agent workflow
powered by Claude Opus 4.7, resolving conflicts and mapping tokens across thousands of components
~90% cache efficiency on the Agent SDK
reducing inference costs across high-traffic workflows
[Bolt](https://bolt.new) is a vibe coding tool that lets users build full applications in natural language, with built-in integrations for databases, payments, and deployment. Built by StackBlitz and powered by the Claude Agent SDK, Bolt's newest capability is a design system agent that lets PMs and designers generate production-ready, on-brand prototypes without writing code.
## With Claude, StackBlitz achieved:
- 10,000+ users uploading their own design systems to Bolt
- ~53-minute design system generation, then unlimited on-brand prototypes in ~5 minutes each, with minimal engineer rework needed to ship
- Autonomous design system generation that consolidates Storybook, GitHub repos, npm packages, Figma tokens, and documentation into a unified system
- ~90% cache efficiency on the Agent SDK, reducing inference costs across high-traffic workflows
## The challenge
## The problem with fragmented design systems
Most companies don't have their design system in one place. Typography lives in a Google Doc. Components are scattered across Figma files, Storybook instances, and GitHub repositories. Spacing and layout guidelines might be in a wiki, or just in an engineer's head.
That gap has become a major barrier to enterprise adoption of AI development tools. PMs and designers can prototype ideas in tools like Bolt, but without access to the company's actual design language, the result looks generic. "Oftentimes if you just use Bolt, it doesn't have any idea about your company's design system," said Dominic Elm, Founding Engineer at StackBlitz. "And a design system is a somewhat complex system. It has guidelines, typography, spacing, layout, all these things."
The tools can generate code quickly, but the output doesn't match a company's internal standards. Prototypes end up as throwaways: a PM builds something to communicate an idea, but an engineer rewrites it entirely before it can ship. That distance between prototype and production code keeps non-engineers on the sidelines of the development lifecycle.
Building agents with the Claude Agent SDK
The Claude Agent SDK is a collection of tools that helps developers build powerful agents on top of Claude Code.
[Read more](https://claude.com/blog/building-agents-with-the-claude-agent-sdk)
## The solution
## Why StackBlitz built on the Claude Agent SDK
StackBlitz had built its own internal agent to power Bolt, but as the team planned a major overhaul, the Claude Agent SDK arrived at the right moment. "We were looking at making a ton of improvements to our agent, looking at a v2," Elm explained. "But then the Agent SDK came and it just made a lot of sense to go with something that is already used by so many people."
The decision shifted the team's focus from building and maintaining agent infrastructure to product innovation. StackBlitz's AI team is small. "We have a couple people, but it's probably still nowhere near the people that are working on Claude Code," Elm added. Claude Code's established user base was part of the appeal: the Agent SDK meant StackBlitz didn't need to match that investment to get the same underlying capabilities. The Agent SDK is built on the same harness that powers Claude Code, so StackBlitz could inherit those capabilities without having to match that investment.
## Building a design system agent with Claude
StackBlitz was one of the earliest teams to go all in on the Agent SDK, and the extended experience building on it has shown Elm how flexible the platform is. "The way it's currently shaped just allows you to build almost any workflow," he said.
The design system agent is a case in point. It starts by taking in everything a company has: Storybook sites, GitHub repositories, npm packages, Figma tokens, documentation files. Users point the agent at all their sources and it does a thorough pass across each one, resolving conflicts, mapping design tokens, and understanding component variants. What comes out is a consolidated intermediate representation of the full design system. The agent uses Claude Opus 4.7, which Elm said "showed the best results overall" for the sustained reasoning this research phase demands.
This research phase can run for 40 minutes to an hour and a half depending on how many sources are connected, averaging around 53 minutes. That's a different kind of task than a typical five-minute prototype build. The SDK's hooks made that feasible. With the stop hook, the team can keep an agent running across a long workflow, pass feedback back in, and change the agent's trajectory mid-run. Custom sub-agents handle parallel tasks while keeping the main agent's context clean. "It helps with overall speed because you can parallelize things," Elm noted. "Also, what the sub-agent does isn't polluting the main context window."
The result lives inside Bolt as a browsable library of all the company's components, sections, and pages in one place. StackBlitz was deliberate about not making Bolt the source of truth for a company's design system. Instead, when a team updates their design system on their end, they can come back to Bolt and reindex, and the agent does an incremental update. Once the design system is in place, a user selects it, prompts Bolt to build something, say a car configurator or a comparison page, and the output follows the company's actual components, typography, and spacing. The agent then checks its own work in a review loop. "You build something and then you check again: does this match what it's supposed to look like?" Elm said, comparing the process to how a developer would verify output against a Figma file.
Claude Code
Anthropic's agentic coding tool. Claude Code understands your codebase, edits files, runs commands, and helps you ship faster.
[Read more](/product/claude-code)
## The outcome
## From throwaway prototypes to production code
The design system agent changes what PMs and designers can deliver. The design system is generated once in an autonomous run averaging 53 minutes. From that point on, any team member can prompt Bolt to produce on-brand prototypes in roughly five minutes, generating code that can go to production with minimal rework. "The idea is that Bolt can generate a prototype that is not just a throwaway," Elm said. "You can take it and hand it to an engineer and they can ship that code almost as-is to production and just connect the business logic to the components."
StackBlitz sees roughly 90% cache efficiency on the Agent SDK, keeping inference costs manageable across these long-running workflows. More than 10,000 users have already uploaded their own design systems to Bolt.
## Looking ahead
StackBlitz is focused on broader adoption among companies shipping production code through Bolt. "The goal is to get PMs and designers actually integrated into the development lifecycle and able to contribute to production code," Elm said. "That's the holy grail for almost everyone."
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## box-claude-platform-api-case-study-claude-by-anthropic-abb856245e.md
# Box builds document creation into its AI agent with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Large
Product:
[Claude Platform](https://claude.com/platform/api)
Location:
North America
Concept to customer-facing capability in weeks using the Claude Skills API
instead of building document generation in-house
2-minute contract redline
when Box's team tested jurisdiction changes on a contract
[Box](https://www.box.com/) securely connects enterprise content to AI, enabling organizations to manage files and automate business processes. Its agent, the Box Agent, recently gained the ability to support document creation through Anthropic's Skills API.
## With Claude, Box:
- Saved months of development time by using the Skills API instead of building document generation in-house
- Went from concept to customer-facing document creation in weeks by using the Skills API instead of building in-house
- Redlined a contract in 2 minutes instead of an afternoon of manual review
- Generates multiple document formats from a single conversation: the same source material returned as a slide, a spreadsheet, or a written brief
- Creates PowerPoint, Excel, Word, and PDF files inside the Box agent without a separate code-execution environment
- Analyzes spreadsheets using their full structure rather than extracted text
- Maintains enterprise security through Box's existing LLM gateway, with only 2 new data paths added
## The challenge
## Bringing document creation inside Box
Box customers could already create, collaborate on, and sign documents inside the platform. Early customers of the new Box Agent consistently requested the ability to generate presentations, documents, and other file formats. Building that capability in-house didn’t make sense from a timing, effort, or focus standpoint. It would have meant standing up a distributed code-execution environment across Box's data centers and meeting the 5-nines reliability bar Box's customers expect. Box's team estimated the work for the in-house path would take months of engineering time.
“Box's strength is in how enterprise content is managed, governed, and put to work,” said Darryl Sladden, Staff Product Manager for AI at Box. “The intelligence to make a good slide is a different problem, and it's one Anthropic has already solved.”
2 minutes
Redlined a contract vs. an afternoon of manual review
## The solution
## Pre-built skills connected to the path Box already trusted
Box turned to Anthropic's Skills API for the generation itself. Anthropic's pre-built skills for PowerPoint, Excel, Word, and PDF deliver packaged expertise: they encode what makes a slide visually appealing, how to structure analytical spreadsheets, and how to handle complex Word edits cleanly.
“Using the API, we’re able to show the customers very early how they can save work and time, and start to change their processes very quickly,” Darryl says.
The integration principle was to change as little as possible. Box already routes all LLM requests through a production gateway that handles logging, request counting, and access control. Rather than create a separate path for document generation, the team added exactly two things: file upload on the way in, file download on the way out.
“We ran this through our main production path and added the file upload, file download capabilities,” Darryl says. “Everything else: the same file versioning, the same ownership. The only difference we have to talk about is those two paths.”
Inside the agent, Box routes work across Claude models by difficulty. Sonnet typically interprets the user's request, searches Box for relevant source files, and assembles context, while file generation often goes to the more capable Opus model. That flips the common pattern of using the larger model as planner and a smaller one as executor, but it matches where the difficulty sits: orchestrating over Box content is well-bounded, while producing a document that looks right demands more from the model.
The pre-built skills are also what made the speed possible. Spreadsheet analysis benefits from the full structure of a spreadsheet rather than just text extracted by RAG, and PowerPoint generation depends on judgment that's hard to specify, let alone replicate. “PowerPoint files have a lot of taste,” Darryl said. “It's really the designer's mind that I always find is most valuable, that it's actually been trained in.”
The capability runs under Box's existing Anthropic agreement, which contractually ensures customer data isn't used for training. Containers that execute skill code are short-lived, lasting only minutes. For Box's security team, the review was about two new data paths, not a new trust boundary.
Choosing the right Claude model
Learn when to use Haiku, Sonnet, or Opus to get better results and stay inside your rate limit. A practical guide to picking the right Claude model.
## The outcome
## Redlining a contract in 2 minutes
Using the Skills API, Box went from concept to customer-facing capability in weeks. A member of Box's internal team tested the agent on a real contract, asking it to show redlines for changing the governing jurisdiction from New York to California. “We just waited two minutes, and it output the entire document,” Darryl said. “It was smart enough to change not only the state, but the city and all the additional clauses that talked about court.”
The financial summary flow works the same way: a user asks for a slide summarizing a company's financial position; the agent searches their Box folders, finds the previous quarterly report and recent monthly updates, pulls the relevant figures, and returns a formatted draft slide with the initial work done, ready for the team to add insights. A follow-up request for the same output as a spreadsheet reuses what the agent already found.
Box went from concept to customer-facing document creation capability in about a month, a timeline that wouldn't have been possible building from scratch. The time that didn't go into infrastructure went into making the agent actively useful inside the enterprise.
The principle that emerged: use pre-built skills where the expertise is general and already trained in; build your own where the knowledge is yours. “The trajectory of AI is really what we're betting on for this,” Darryl said. “Our advice is to look at each capability not only how it is now, but how it will be in six months.”
How enterprises are building AI agents in 2026
New research from 500+ technical leaders reveals how enterprises are deploying AI agents—and why 80% already report measurable ROI.
[Read more](https://claude.com/blog/how-enterprises-are-building-ai-agents-in-2026)
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## brainlabs-claude-cowork-case-study-claude-by-anthropic-2cd1363c7c.md
# How Brainlabs gave 1k+ marketers at its media agency an AI coworker with Claude Cowork and skills
[Try Claude](https://claude.ai)
Industry:
Professional services
Company size:
Large
Product:
[Claude Cowork](https://claude.com/product/cowork)[Claude Enterprise](https://claude.com/solutions/enterprise)
Location:
North America
~400 Skills
authored by employees in four weeks
91% adoption rate
in North America
[Brainlabs](https://www.brainlabsdigital.com/) is a media agency with offices across the US, UK, LATAM, and APAC, running media and advertising campaigns for mid-sized and enterprise clients across industries. Over four weeks, the company rolled out Claude Cowork to its full workforce, with employees authoring hundreds of their own skills and automations.
## With Claude, Brainlabs built:
- A library of roughly 400 skills authored by employees in four weeks
- A Cowork deployment reaching about 1,000 employees across the agency
- A Notion-based repository of Cowork skills that non-developers can use directly
- A Claude-powered "skills auditor" that reviews skills to find more efficiencies and consolidate the growing library
- A Managed Agents setup inside Notion that triggers Claude when work changes state
- A "suggest a skill" process so any employee can propose a new automation
## The challenge
## Scaling repeatable work across a large agency
An agency at Brainlabs's size produces a steady cadence of campaign work with dozens of recurring workflows. The company's roughly 1,000 strategists, media planners, data scientists, and creative leads spend significant chunks of their day on repeatable work: drafting creative briefs, QA-ing media plans, pulling client reporting, summarizing campaign data. Across that many people, every team rebuilding the same things by hand starts to add up fast.
For Brainlabs's CTO Ben Vincent, the principle was simple. "If you're doing something more than three times, you should try to automate it," Vincent said. The company's CEO Dan Gilbert wanted that principle applied across the whole business, not just the engineering org. The original target was to have Claude live across the entire workforce in a week.
How to create Skills
Follow our step-by-step guide to write custom skills that extend Claude's capabilities with real examples and practical patterns.
[Read more](https://claude.com/blog/how-to-create-skills-key-steps-limitations-and-examples)
## The solution
## An authoring layer for skills
Brainlabs treated Cowork as the foundation, and skills as the layer on top. Over four weeks, Cowork went live across the workforce, with workshops to walk strategists, planners, and creative leads through how Claude could plug into the tools they were already using.
For skills, Brainlabs needed an authoring layer the same audience could actually use. The company made Notion the home for its org-wide skills library: employees store skills directly inside Notion, where the company’s knowledge base, meeting notes, and team workflows already sit. Notion packages each Skill and pushes it to GitHub for revision, while the Notion page stays as the source of truth.
"We've made all of them open,” Vincent said. “Anyone in the company can go in and read the details of any skill.” A "suggest a skill" process gave any employee a way to propose a new automation without going through engineering, and an org-wide skills guideline set the bar for quality. The rollout to get Claude live across the whole company took four weeks, during which time roughly 400 skills landed in the library.
The library spans the agency’s full range of work. Two examples Brainlabs has invested in heavily: an SEO audit skill, refined across thousands of iterations from the SEO team and built on a context layer drawn from over a decade of agency work; and a brand skill that produces presentation decks, social graphics, and one-pagers that stay on-brand without a designer in the loop. The audit skills alone number in the dozens, each with its own context layer.
Keeping the quality bar high as the library grew into the hundreds required a second piece, and Brainlabs built it as a skill itself: an auditor that reviews every other skill for duplication, overlapping instructions, and token inefficiency, then proposes consolidations and rewrites. “The skills auditor checks: have you done this in a clean way, is it concise?” Vincent explained. “We built it after versions 2, 3, and 4 of the library got unwieldy from over-enthusiastic agent creation across the company.” The team is also using the analytics API to see which skills are actually getting used inside chains of thought, so the library can grow on the basis of evidence rather than enthusiasm.
Security and governance were handled the same way, cautiously, and in stages. Data stays isolated by design: a Skill only pulls what the person running it is already authorized to access. Every skill also has a designated owner who reviews and approves changes before it goes live, so quality and access controls keep pace as the library grows.
The newest addition sits on top of all of this. Brainlabs is one of the early customers running Managed Agents inside Notion. "We use actions. We get them to look at the Notion boards, and when something is happening it fires off to Claude," Vincent said. One example is a task agent called Get Stuff Done that works tickets on a Kanban-style board: a Notion agent tags a task with “Claude” when it judges the work complex enough, and the managed agent picks it up from there, drawing on the company’s skills library and connectors to Slack, Google Calendar, and other platforms to produce outputs like PowerPoints and research documents.
The team has put the agent to work on its own projects, including managing the Cowork rollout itself. The team is also evaluating the Claude Agent SDK for more complex server-side agents that would sit alongside the Notion-hosted ones.
Skills explained
Where do Skills fit in the Claude stack alongside prompts, Projects, MCP, and subagents? Learn what tool to use when—and how they work together.
[Read more](https://claude.com/blog/skills-explained)
## The outcome
## ~400 skills in four weeks, with agents on top
Four weeks after the rollout began, Brainlabs employees had authored roughly 400 skills covering everything from presentation-building to client reporting, with the library still growing as more people determined which parts of their own work fit the "more than three times" rule. Cowork sits underneath all of it, with about 1,000 employees handing off recurring tasks inside the tools they already use and picking up finished work on the other side. "We're automating all the mundane tasks so employees can do the more strategic things," Vincent added.
For Dan Gilbert, Brainlabs’s Global CEO, the biggest gains have been in the depth and consistency of the work itself. SEO audits used to vary in quality depending on which strategist ran them. The SEO audit skill changed that. “It’s one skill, refined across thousands of iterations from our SEO team, that captures the full universe of what to look for and what good looks like,” Gilbert said. “It doesn’t rely on what any one strategist happens to remember on the day.” Client reporting saw the same shift. “The strategists in the loop spend their hours on judgement, prioritization, and client strategy instead of mechanical assembly,” Gilbert added. For clients, this lands as a different service, not a faster one, with real-time coverage and expanded capability that wasn't possible before.
Writing tasks see the same lift agency-wide, which matters because writing is a daily part of almost everyone’s job at Brainlabs. Cowork is preloaded with the company’s style guide and each person’s individual writing style, so drafts come out around 80% of the way there in Brainlabs’s voice rather than starting from a blank page. “That’s a real quality lift, especially for people whose core job isn’t writing,” Gilbert said.
Vincent uses Cowork as his own ideation tool. “I have a bunch of random ideas that I never have the time to explore,” Vincent explained. “Now I can write the idea down in Cowork, and Claude will go investigate, build me a document, and I have all the information I need.” With Managed Agents now firing inside Notion when work changes state, Brainlabs is seeing what proactive, not just reactive, automation looks like inside a working agency.
For Vincent, this is the foundation, not the finish line. "I think it's going to go so far beyond where we are now," Vincent said. "We're going to have a bunch of agents hosted in a variety of places, which will expand our team's capabilities for the deep strategic work that grows our clients' businesses.”
## Related stories
### Caylent turns months of migration work into days with Claude Agent SDK
### How can a two-person fabrication studio make room for problems it’s never solved before?
### LG CNS modernizes 20-year-old enterprise systems with Claude
### How Blank Metal, a lean professional services firm, runs on Claude Cowork
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## braintrust-claude-platform-api-case-study-claude-by-anthropic-3d9a869947.md
# Braintrust revolutionizes talent acquisition and career growth with Claude
[Try Claude](https://claude.ai)
Industry:
Recruiting
Company size:
Small
Product:
Claude Platform
Location:
North America
25% more applicants
for Claude-powered job descriptions
\$150K saved
with AI-powered talent screening
Braintrust, an AI-powered recruiting platform, uses Claude to speed up the hiring process for clients while empowering job seekers to advance their careers. With Claude, Braintrust has achieved:
- 25% increase in job applicants for clients using Claude-powered job descriptions
- 50% of clients using their AI-generated job description generator
- Close to 90% of hires coming from matches rated as good or great
- AI-assisted screening and interviews save recruiters significant time
- 100% AI-powered talent screens, giving results in minutes rather than weeks, uncapping throughput and saving over \$150K to date
## Matching talent with opportunity at scale
Braintrust aims to revolutionize recruiting in today's competitive talent landscape by addressing key pain points for employers and job seekers. The company faced the challenge of efficiently matching quality candidates with opportunities, given the overwhelming volume of applications for popular roles. Elena Luneva, Braintrust's Chief Product Officer, highlighted the scope of this issue, saying "over 800 applicants might apply to a role, and only 10% are real."
## Building trust with ethical, high-performing AI
After evaluating several large language models, Braintrust selected Claude for its performance, ethical AI capabilities, and seamless integration with their tech stack. The team found that Claude excelled at producing ethical, unbiased content, which is crucial for professional tasks like conducting interviews and writing job descriptions. Emma Teng, Head of AI and Data at Braintrust, noted, "Claude's ethical AI and safety-first design made it more attractive than other models."
Claude's 200,000-token context window was also invaluable for lengthy interactions. Teng explained, "This is very helpful for a 30 or 60 minute interview. We need to pass a lot of information to the model to produce the next response. This longer context window helped our implementation."
Additionally, Braintrust's existing Amazon Web Services (AWS) infrastructure made Claude an ideal choice. Teng elaborated, "Our overall tech stack is in the AWS environment. So being able to access Claude models in Amazon Bedrock was a great advantage." The team found it easy to deploy Claude, leveraging AWS tools like CloudWatch for monitoring and troubleshooting.
## Powering innovative AI features across the hiring lifecycle
Braintrust integrated Claude into key features to enhance their platform:
1. AIR - AI Recruiter: Powered by Claude 3.5 Sonnet, this tool conducts initial screening interviews, saving recruiters time, giving more candidates a chance, and providing talent an experience where they are understood and listened to.
2. Job Description Generator: This Claude-powered assistant helps clients quickly create compelling job postings, increasing the number of qualified applicants.
3. Semantic Search: A feature in development that allows recruiters to search for candidates using natural language queries instead of rigid filters.
## Better outcomes for employers and job seekers
Integrating Claude has benefited both Braintrust's clients and job seekers. Luneva reported strong adoption of the AI-powered features, noting, "50% of clients are already using the job description generator. Those jobs now get 25% more applicants because the descriptions are richer."
AI tools are also boosting recruiter efficiency. Teng noted, "Recruiters would love to speak to more candidates, but it's time-consuming. With AI conducting the interviews, you can spread your net a little wider. This is a win-win for recruiters and talent."
Braintrust's Claude-powered platform offers job seekers valuable career growth opportunities. The system provides personalized job recommendations and insights into candidates' standing. This transparency allows talent to identify skill gaps and connect with mentors to enhance their qualifications.
## Looking forward
Braintrust sees AI as key to making recruiting more human-centric and equitable. Luneva envisions a future where AI eliminates tedious tasks, allowing recruiters to focus on building meaningful candidate relationships and telling their company’s story. She explains, "AI is actually making things more human. You get rid of the fluff, the box-checking, the vanilla questions and recruiters can focus on finding the right person for the job."
The company is excited about Claude's potential to reduce hiring bias. Luneva emphasized, "With LLMs or AIs, there's no bias from past experiences, so you get built-in diversity by seeing previously unseen candidates."
As Braintrust continues to innovate with Claude, they aim to create a recruiting ecosystem that unlocks human potential, fosters diversity, and efficiently connects talent with opportunities. By harnessing AI, Braintrust is working towards a future where companies and candidates can thrive in a streamlined, transparent, and equitable hiring landscape.
## Related stories
### Fountain accelerates frontline workforce hiring and management with Claude
### micro1 transforms technical recruiting with Claude
### Skillfully transforms hiring through AI-powered skill simulations with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## brand-ai-claude-platform-api-case-study-claude-by-anthropic-430cde0822.md
# Brand.ai uses AI to make brands more human with Claude
[Try Claude](https://claude.ai)
Industry:
Professional services
Company size:
Small
Product:
Claude Platform
Location:
North America
\$5M to fraction
annual brand compliance cost reduction
600 pieces
of content managed by one copywriter
Brand.ai is transforming how global brands operate, turning years of painstaking agency work into an instant, AI-powered system that maintains brand consistency across millions of touchpoints, all while preserving the human touch that makes brands special.
With Claude, brand.ai delivers transformative results:
- Reduces brand compliance costs for enterprise clients from \$5M to a small fraction of that amount per year
- Enables one copywriter to manage 600 pieces of content
- Reduces brand guideline creation and rollout from 24 months to just days
- Accelerates agency onboarding from months to days
- Maintains consistency across thousands of global touchpoints
## The growing crisis in brand management
Today's brands face a simple problem: they need to stay consistent across countless digital channels, but their tools haven't kept up. The traditional approach of static brand guidelines created by agencies no longer works in a world of constant content creation across global teams.
"At my previous company, we waited almost two years for our agency to create a brand book. Meanwhile, exhausted teams worked around the clock across time zones, armed with nothing but a logo and a name, desperately trying to maintain some thread of consistency," said Chelsey Susin Kantor, co-founder at brand.ai.
The problem goes beyond just speed. Michael Carter, co-founder at brand.ai, said, "Today's brands exist as a massive mosaic of digital touch points, different narratives, and experiences that can't be contained in a static guideline document." This overwhelming complexity, combined with pressure to prove ROI and create content at scale, has pushed marketing teams into settling. Kantor explained, "Teams end up with a culture of 'it's good enough' because they simply don't have the time to do better. They're trapped in a cycle of managing brand compliance instead of growing their brands."
## Why Claude stands out for brand intelligence
After evaluating multiple AI models, brand.ai chose Claude for its unique ability to understand and preserve authentic brand voice. "From our first tests with Claude, we were struck by its thoughtful and nuanced communication," said Michael Carter, co-founder at Brand.ai. "There was a distinctly human quality to its responses that set it apart from other models."
The decision went beyond just tone. Brand.ai built their platform around Claude's technical advantages, particularly its industry-leading context window that allows it to process entire brand guidelines at once. They implemented two complementary retrieval systems around Claude—one for surfacing relevant brand insights, another for maintaining context in conversations.
A conversation with Anthropic's team confirmed brand.ai's choice. "When I asked why Claude performed so much better at these tasks than other models, they explained their focus on making AI feel human—training it to convey concepts naturally," recalled Chelsey Susin Kantor, co-founder at brand.ai. "It sounds counterintuitive to use AI to keep brands human, but that's exactly what we needed. We're using AI to handle the analytical burden so marketing teams can stay in their creative, human headspace. Claude was the perfect partner for that vision."
## How Claude powers the future of brand management
Brand.ai's platform, powered by Claude, transforms static guidelines into dynamic brand engines that earn praise from marketing leaders across industries.
For established brands, it provides instant brand alignment. David Corns, Chief Marketing Officer at Opendoor, said, "The Opendoor brand is our most valuable asset. With Brand.AI, we can quickly align partners with our brand standards while driving sharper insights, faster briefs, and stronger ideas."
Global brands particularly benefit from the platform's ability to scale brand consistency. "As a CMO, my priority is growing the brand so we can grow the business in the most efficient way possible," said Brian Irving, Chief Marketing Officer at Lyft. "From Airbnb and Eventbrite to Apple and Google, brand has always been important but incredibly manual, time consuming and expensive work, especially at a global scale. Brand.ai is the first tool I've seen that actually understands the brand and culture and powers better, faster work for marketers and partners."
The platform stands out for its focus on brand enhancement rather than just efficiency. "A lot of AI is built around optimization and self-serving efficiency. But brand.ai has been born with the desire to liberate," said Rob Campbell, Chief Strategy Officer at Colenso BBDO. "It's created for inclusivity and understanding, and that unlocks potential for brands that most marketing AI models fail to even recognize."
## Transforming organizations through AI-powered brand management
The impact extends beyond efficiency gains. By automating routine brand management tasks, brand.ai frees creative teams to focus on strategic work. Enterprise clients have cut their brand compliance costs from \$5M annually to a fraction while improving consistency. "Now you can focus those dollars and humans' energy on growing the brand rather than policing it," explained Kantor.
For marketing teams, the platform eliminates the exhausting overhead of manual brand management. The Brooks Institute's study on AI's impact on labor markets supports what brand.ai's findings: AI tools that deeply understand specific domains can transform how entire sectors work while enhancing rather than replacing human creativity.
## Leading the future of AI-powered branding
Brand.ai sees AI transforming not just brand management, but entire organizational structures. Carter said, "Right now, enterprises waste countless hours in meetings about meetings, buried under layers of brand bureaucracy. AI tools will eliminate that overhead, freeing teams to focus on what matters—building stronger brands."
Their vision goes beyond just maintaining brand consistency. Instead of enforcing static guidelines, brand.ai aims to create living brand ecosystems that evolve naturally. "We want to build something that makes traditional brand books obsolete," said Kantor. "A dynamic system where brands can grow and adapt while staying true to their core identity."
With Claude's intelligent automation, brand.ai is unleashing the full potential of creative teams to shape stronger, more resonant brands. "The brand is the soul of the company," says Kantor, and this soul now shines brighter as AI amplifies human creativity rather than constraining it.
## Related stories
### Caylent turns months of migration work into days with Claude Agent SDK
### How can a two-person fabrication studio make room for problems it’s never solved before?
### LG CNS modernizes 20-year-old enterprise systems with Claude
### How Blank Metal, a lean professional services firm, runs on Claude Cowork
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## brex-claude-platform-api-case-study-claude-by-anthropic-8f10d9c93b.md
# Brex reimagines spend management with Claude in Amazon Bedrock
[Try Claude](https://claude.ai)
Industry:
Financial services
Company size:
Medium
Product:
Claude Platform
Partner:
AWS
Location:
North America
\$56.5 million
in annual salary savings across customers
94% compliance
rate vs 70% industry standard
Brex, the modern financial platform combining global corporate cards, spend management, banking and travel, is transforming expense management by integrating AI capabilities directly into their core product offerings with Claude in [Amazon Bedrock](https://aws.amazon.com/bedrock/claude/).
Claude helps Brex to:
- Automate 75% of expense transactions, achieving a 94% compliance rate versus the industry standard of 70%
- Save customers 169,000 hours per month on expenses and accounting through automation
- Save \$56.5 million in annual salary costs across all customers
- Review 100% of transactions with AI-driven anomaly detection at the line-item level
## Rethinking expense management for AI-first experiences
With a goal of helping businesses spend smarter and move faster, Brex recognized that traditional spend management approaches were reaching their limits. Finance professionals spent countless hours reviewing expenses, while employees wasted time on tedious data entry instead of focusing on their primary work. The status quo required managers and auditors to click through numerous expense reports, often without clear context for why their action was required.
"Every company needs spend management from the moment they have a corporate card or bank account," said David Horn, who leads AI at Brex. "It's just the level of maturity and complexity that changes as they grow. With AI, we can abstract away most of that complexity, allowing both finance teams and employees to focus on what truly matters."
## Selecting Claude for enterprise-grade reliability
After exploring various AI models beginning in 2023, Brex chose Claude for its technical capabilities and Anthropic's approach to model development and security.
"What we've valued about Anthropic is not just their powerful models, but how they've positioned them for enterprise needs," said Horn. "When I talk with customers about AI, data privacy is always their first concern—it's the critical foundation we have to address before we can even begin discussing capabilities."
Using Claude in Amazon Bedrock proved advantageous for Brex's enterprise implementation. Jin Shao, a software engineer at Brex, said, "Deploying Claude in Amazon Bedrock gives us seamless integration with our existing [Amazon Web Services (AWS) infrastructure](https://aws.amazon.com/about-aws/global-infrastructure/) and services. Building effective AI applications requires more than just an LLM model—you need knowledge bases, prompt management systems, and robust security controls. Amazon Bedrock provides all these capabilities in one place, reducing our integration overhead."
The AWS environment aligns with Brex's enterprise security requirements, a key consideration with Brex growing its enterprise revenue 80% in the past year and now serving over 200 public companies Shao added, "Since we already host our services and databases on AWS, implementing Claude in Amazon Bedrock was a natural extension that maintained our security posture. This integration allows us to leverage AWS Identify and Access Management (IAM) for access control and keep all data processing within our existing security boundaries, essential for handling sensitive financial information."
Brex also benefits from the operational efficiency of the AWS environment. Shao noted, "The streamlined deployment and monitoring capabilities in Amazon Bedrock have accelerated our development process. We can rapidly test new Claude models as they're released and scale our implementation without managing separate infrastructure, allowing our team to focus on building innovative experiences for our customers rather than managing complex systems."
## How Claude powers intelligent expense management
Brex decided to rebuild their platform with AI at its core. Tim Foster, Engineering Manager at Brex, says, "We've spent the past several months fundamentally reimagining the entire spend management stack. Instead of making incremental improvements, we looked at every touchpoint—from the employee submitting expenses, to the manager approving them, to the finance team auditing them, to the overall process optimization. Our central question has been: How can we exponentially improve our customers’ core financial workflows with AI? How can we rebuild each of these experiences from the ground up with AI at the core, rather than simply adding AI features to our existing workflows?"
Claude powers several key capabilities in Brex's reimagined platform:
- **Conversational expense submission**: Their new spender experience makes expense management nearly invisible to employees. The system analyzes contextual information like calendar events, location data, and spending patterns to automatically categorize expenses and apply compliance rules without requiring manual input. This transforms expense management from a burdensome task into a seamless background process that increases compliance while eliminating administrative work.
- **AI-powered policy interpretation**: Finance teams can upload policy documents directly into the system instead of complex rule configurations. The AI interprets these documents intelligently, eliminating the need to translate policies into technical rules or decision trees.
- **Intelligent expense auditing**: An AI-first workbench transforms how finance professionals review expenses by proactively grouping related expenses, flagging policy concerns, and providing explanations with recommended actions. This makes each review more meaningful and efficient.
- **Contextual policy guidance**: The system provides employees with relevant policy information before they spend rather than flagging violations after the fact. This creates a proactive approach to compliance that reduces policy violations while improving the employee experience.
## Transforming finance operations through intelligent automation
Brex’s AI updates have significantly impacted finance teams and employees. Now, Brex automates 60% of expenses, saving customers about 73,600 hours monthly with auto-generated receipts and expense documentation.
These benefits translate to significant financial impact, with customers collectively saving \$56.5 million in salary dollars annually. For individual finance teams, auto-generated receipts and documentation save an average of \$21,500 in salary costs and 204 hours per year.
Beyond time and cost savings, Brex's AI-driven approach creates a more effective compliance environment. While the industry standard for expense compliance hovers around 70%, Brex customers achieve a 94% compliance rate. This is possible through AI-driven anomaly detection that reviews 100% of transactions and identifies out-of-policy spend at the line-item level.
"Our goal is to empower employees to spend with confidence knowing that they are making appropriate business purchases without needing to be a finance expert," said Horn. "Let's be honest—almost no one reads their company's spend policy from cover to cover. AI can transform this experience by providing contextual guidance at the right moment, before the spending occurs. Instead of flagging violations after the fact, we can proactively guide employees with relevant policy information exactly when they need it."
This approach enables finance teams to focus on exceptions rather than reviewing everything, creating a trust-based system that scales. Foster said, "We would rather have people review by exception rather than review as the default."
## Building an AI-first future for finance operations
Brex is innovating at the intersection of AI and finance, working closely with Anthropic and AWS to expand their Claude-powered capabilities in spend management. Their vision extends beyond simple automation to create a new paradigm where AI guides finance operations.
"Like many companies, we're enhancing our existing workflows by adding AI capabilities," said Horn. "But the future we're building toward is more transformative—where customers won't need to navigate our traditional interface at all. Instead, they'll simply have conversations with an AI that understands their needs and handles the financial operations automatically. For example, having a deep understanding of the company’s policies and SOPs so that all review and audit actions for clear-cut spend cases can be fully automated, escalating only the grey areas to humans for judgment calls."
This collaboration with Anthropic and AWS aligns with Brex's belief that as AI advances, the differentiating value in spend management will shift from software features to compliance expertise, partnerships, and intelligent automation—areas where Brex excels.
"As AI makes software development more accessible, technical features alone won't differentiate solutions," said Horn. "What will really matter is our expertise in compliance and our strategic collaborations—things AI can't replicate. Those are exactly the areas where Brex excels, and why we'll continue to lead in spend management."
## Related stories
### How Qonto delegates financial admin for small businesses with Claude on Amazon Bedrock
### Pictet turns weeks of work into hours with Claude Code
### How Satispay's engineers write 75% of their code with Claude
### OffDeal powers every stage of M&A advisory with one Claude-based agent
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## brian-impact-foundation-claude-platform-api-case-study-claude-by-anthropic-f1f08af9b9.md
# Brian Impact Foundation powers their search for the next generation of social innovators with Claude
[Try Claude](https://claude.ai)
Industry:
Professional servicesBeneficial Deployments
Company size:
Small
Product:
Claude Platform
Location:
Asia Pacific
100x more candidates
reviewed with Claude - 20,000 vs 200
3x more reviews
per candidate for thorough evaluation
Brian Impact Foundation, a nonprofit focused on using technology to solve social problems, used Claude to help the team review 100x more candidates than the year prior, allowing the team to consider a much larger pool of innovators and create a more equitable process for identifying fellowship candidates.
## Large impact, small team
In 2021, Kakao founder Brian Beom-su Kim pledged to give more than half his \$8.9 billion net worth to social causes. He launched Brian Impact Foundation to support individuals and organizations using technology — especially AI — to solve social problems. Today, Brian Impact Foundation awards grants to nonprofit organizations and supports individual innovators through fellowships.
But like most nonprofits, the foundation operates with a lean team. Just 13 people manage millions of dollars in grants. “Even though you try your best to go through every candidate in a very equitable way, you run out of time and resources,” says Soomin Syd Kim, project director at Brian Impact Foundation.
## Generative AI as a lever for scale
Soomin’s team turned to generative AI to help the organization expand its fellowship applicant pool and assess each candidate more thoroughly. They built a platform they call Benevolence Enhancing Expert System, or BEES, which uses Claude to turn massive amounts of data into an easy-to-read summary about potential fellows.
“Most of the data we use in the philanthropy sector is unstructured, so it is perfect for GenAI and large language models,” Soomin says, noting that it’s a similar problem faced by investors performing due diligence.
When selecting an LLM, she was drawn to Anthropic’s focus on safety, as well as Claude’s capabilities. “Claude’s long context window was significant for us because we process a lot of news articles,” she says.
## Accelerating application review with Claude
The team uses BEES for two use cases: identifying prospective fellowship candidates and reviewing fellowship applications.
BEES first gathers diverse types of data related to social problems and innovation from the open web. It sends the raw data to Claude to extract potential candidate information, summarize the contents, and analyze the quality, structure, and type of the data. Then, using information that meets a certain quality threshold, Claude organizes the information based on the criteria the foundation uses to assess applicants.
Information is surfaced to reviewers in a custom web app designed to make it easy for them to review everything about the prospective candidate or applicant: various kinds of information that might help Brian Impact Foundation understand their work as an innovator.
Previously, reviewers had to conduct laborious manual searches to gather information about each prospective fellow. “This is really huge in terms of improving efficiency in resource allocation,” Soomin says.
## How Claude drove a 100x increase in candidates
Prior to selecting Anthropic for foundation models, Brian Impact Foundation relied on members of its expert network to recommend candidates for fellowships. The team knew they were potentially missing out on supporting innovators who could benefit from the foundation’s support, but they simply didn’t have the time or resources to broaden their search.
Last year, with Claude, they reviewed over 20,000 candidates—one hundred times more candidates than the previous year.
Claude also accelerates the process of reviewing fellowship applications, enabling the team to study every applicant deeply and select fellows based on the most thorough review possible. “We tripled the number of reviews for each candidate,” Soomin says.
With Claude, Brian Impact Foundation can be confident that it’s supporting the most deserving social innovators without diverting resources away from its core mission: creating positive change.
> Partnering with Anthropic has helped our team of 13 discover a larger number of fellowship applications and review every application more thoroughly. This enables us to increase equity in our fellowship application process, strengthening our mission to support innovators using technology to make the world a better place.
\- Soomin Syd Kim, Project Director at Brian Impact Foundation
## Related stories
### Mercy Corps on what AI makes possible in humanitarian work
### Mercy Corps accelerates global humanitarian response to community feedback with Claude
### Caylent turns months of migration work into days with Claude Agent SDK
### The Epilepsy Foundation turns years of expert content into a personal epilepsy assistant with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## bubble-claude-platform-api-case-study-claude-by-anthropic-973adad903.md
# How Bubble powers an AI agent that turns prompts into production apps with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Startup
Product:
[Claude Platform](https://claude.com/platform/api)[Claude Code](https://claude.com/product/claude-code)
Location:
North America
~30% increase in user satisfaction
With the Claude-powered AI editing agent, compared to the previous model provider
2x first-week user activation rate
After launching the Claude-powered AI app generator
[Bubble](https://bubble.io/) is a no-code AI app development platform with more than six million users who've built more than seven million web and native mobile apps. Its Claude-powered AI agent builds in Bubble’s visual development language, so users can move between AI chat and visual editing to launch and scale applications.
## With Claude, Bubble:
- Doubled first-week activation rate and first-month retention after launching the Claude-powered AI app generator
- Increased user satisfaction with the AI editing agent by ~30% compared to the previous model provider, with positive feedback rates rising from ~70% to ~90%
- Adopted Claude Code across the majority of the engineering team, with all new hires now onboarded to it on day one
- Reduced inference costs while maintaining app generation quality
- Shipped backlog items previously not worth the effort, including a frontend migration from jQuery to SolidJS
## The challenge
## Closing the gap between first prompt and first app
Bubble has always believed that the best way for non-coders to build apps is to speak to a computer in their language, not in code. But before AI, visual development languages required a significant time investment to learn, and new users often churned before reaching the moment where things clicked.
"The \#1 business challenge we solved was showing value to users faster," said Zachary Tessler, AI Engineering Lead at Bubble. The team started with a page generator, then built a Claude-powered AI app generator that created full working apps from prompts. The results were immediate: first-week activation doubled, and twice as many users were still active at the end of their first month. But generating a complete app in one pass wasn't enough: users needed to iterate on what the generator produced, to move past prototypes into real products. That's why the team built the Bubble AI Agent, a Claude-powered assistant that helps users refine and extend their apps from within the editor.
Claude Code
Anthropic's agentic coding tool. Claude Code understands your codebase, edits files, runs commands, and helps you ship faster.
[Read more](/product/claude-code)
## The solution
## Selecting Claude for reasoning quality
Bubble's team evaluated multiple model providers before choosing Claude, prioritizing reasoning quality, low latency, and user control. "Reasoning quality is a top consideration," Tessler explained. "It helps a user decompose complex and potentially ambiguous requests into discrete actions that address their query." Latency mattered because the agent needed to keep pace with users building apps in real time. And the team wanted users to stay in the driver's seat, with the agent surfacing its plan and letting users approve changes before anything was applied.
The experience also needed to feel native. "Not a separate AI tool bolted on, but a natural extension of the way people already build on Bubble," Tessler noted.
After switching from their previous provider to Claude, Bubble built an internal evaluation suite to benchmark each model upgrade. When they moved to Sonnet 4.6, it matched the output quality of larger models at lower cost and faster response times. "The resulting apps still have all the sophistication and visual quality we were previously seeing, but with much faster responses," Tessler said.
## From chat window to working app
The Bubble AI Agent is a chat window inside the editor. Users type what they want, whether that's a question about how Bubble works or a request to add a feature to their app. On the backend, Bubble enriches each message with context about the user's app: its elements, data schemas, and logic. Claude also receives extensive instructions about Bubble's visual development language and a set of Bubble-specific tools for modifying apps.
The agent proposes changes, the user approves them, and the edits are applied. Users move fluidly between chatting with the agent and editing their app with Bubble's point-and-click tools. The agent can access broad editor functionality, from the built-in issue checker (similar in spirit to a type-checker on source code) to the full range of Bubble components and workflows, so it can generate complete user interfaces, data schemas, and executable logic, all visually editable afterward.
"Our agent is built in langchain and langgraph, so migrating from other models over to the Claude API itself was a minimal amount of work," Tessler added. The bigger investment was the evaluation suite: testing each model swap against quality, latency, and cost to make sure nothing regressed.
Choosing the right Claude model
Learn when to use Haiku, Sonnet, or Opus to get better results and stay inside your rate limit. A practical guide to picking the right Claude model.
## The outcome
## Cleared backlogs and a growing builder ecosystem
After switching to Claude, user satisfaction with AI-driven edit requests increased by approximately 30%, with positive feedback rates climbing from roughly 70% to 90%. Latency improvements and better component and UI generation quality both contributed.
Internally, Claude Code has changed how Bubble's engineering team thinks about what's worth building. The majority of engineers use it, and all new hires are now onboarded to it on day one. "It's less about things we couldn't do and more about things that weren't worth attempting before," said Zoe Lapomme, Engineering Manager. "The effort-to-reward ratio has shifted significantly."
The Notes panel and style variables subtab in the Bubble editor, for instance, had been sitting on the backlog because the migration work wasn't justified. Using Claude Code to move the frontend from jQuery to SolidJS and implement new designs lowered the bar enough that the team actually shipped it. Onboarding has shifted too: bringing new engineers and contractors up to speed on an unfamiliar codebase is meaningfully faster. "Everyone's had Claude Code from the start, but it's hard to imagine doing it the old way now," Tessler said.
Beyond Bubble's own product, builders in the ecosystem are shipping Claude-powered apps through the platform: chatbots, content generation tools, document analysis workflows. Agency partners are building Claude-powered templates and plugins that other Bubble users can deploy, so the adoption compounds. Claude API integrations have trended upward over the past year, with Q1 2026 the strongest quarter to date.
Looking ahead, Bubble is integrating its app debugging tools with Claude so users can fix logic bugs directly, and adding multi-modal features like sharing app screenshots to iterate on generated UIs. "A Bubble user can connect to the Anthropic API, design a full conversational UI, and ship a Claude-powered product in hours rather than weeks," said Theo Goldberg, Partnerships Lead. "The compound effect across six million builders is what excites us most."
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
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## Programs
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## Developers
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- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
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- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
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- [Security and compliance](https://trust.anthropic.com/)
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## Company
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## Terms and policies
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## Products
- [Claude](/product/overview)
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- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
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- [Life sciences](/solutions/life-sciences)
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- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## build-commerce-agents-with-claude-claude-by-anthropic-bd74f1d7ad.md
# Claude for commerce
## Win the sprint to holiday season this year
Claude helps retail, travel, telecom, and entertainment companies build and deploy consumer and merchant AI agents in your app, connected to your systems, in weeks.
Get started
[Get started](https://github.com/anthropics/commerce-agents)
Get started
[Contact sales](/contact-sales)
### How commerce companies use Claude in agents
8 live demos
Close
## Trusted by
## Built to bring the best of Claude to commerce agents
### Holiday revenue this year, not next
Speed up production with an easy setup. Fork the repo to choose your agent type, industry, and how to build. Go live before code freeze to capture this year's holiday traffic in weeks.
### Bigger baskets on your storefront
Shoppers get help finding, comparing, and deciding inside your app, then check out without going to a marketplace or third-party assistant. Your relationships stay yours.
### More GMV per seller, with the team you have
One merchant agent covers the ground that used to take a few operators: catching price drift, keeping your catalog current, or drafting promotions. Sellers grow revenue, not the team.
### Enterprise safety on every token
Safety patterns running today's largest commerce agents are built in: pricing and availability accuracy, cart and refund authority limits, and escalation to a human.
Building Claude Commerce Agents
AI is rapidly changing commerce, and consumer brands and platforms are on the move to respond.
Watch webinar
[Watch webinar](https://www.anthropic.com/webinars/building-claude-commerce-agents)
Watch webinar
Building commerce agents with Claude
Retailers running shopping agents on Claude have seen carts up to 35% larger and shoppers 60% more likely to complete a purchase.
Read blog
[Read blog](https://claude.com/blog/claude-for-commerce-agents)
Read blog
An open blueprint for commerce agents on Claude
Our best practices from commerce teams in one forkable repo: two agents, four vertical implementations, and a Claude Code plugin to wire it to your own catalog.
Read blog
[Read blog](https://claude.com/blog/the-anatomy-of-effective-commerce-agents)
Read blog
## What businesses are saying
“AI will fundamentally reshape commerce, but trust must remain at the center of every transaction. Merchants are telling us they want more control over how AI engages their customers. Our collaboration with Anthropic on their commerce blueprint helps bring together the intelligence of Claude with the trust, security, and global reach of the Visa network, empowering merchants to deliver better customer experiences while maintaining the relationships that drive their businesses forward.”
Jack Forestell, Chief Product and Strategy Officer
“Trust is the currency of commerce, and it is even more critical in the agentic era. With Anthropic's commerce blueprint, we're helping merchants build their own agents with Claude to drive their growth. By combining AI innovation with trusted payments and commerce infrastructure, we're helping connect consumers, merchants and AI agents securely, seamlessly and at scale.”
Sherri Haymond, Executive Vice President, Global Head of Digital Commercialization
“Commerce agents are quickly becoming a critical capability for organizations seeking to deliver the personalized, intelligent customer experiences that today’s consumers expect. Our latest research revealed that 85% are now open to collaboration with an AI agent and nearly three in four would trust a personal AI agent more than their best friend to make a purchase on their behalf. This is more than a shift in how people shop. Agentic commerce is rewriting the rules of brand value – fundamentally shaping what gets purchased, when, where and by whom. Anthropic’s commerce agent blueprint provides a proven starting point that can help organizations accelerate deployment and build differentiated experiences that increase customer satisfaction, loyalty, and growth. Combined with Accenture's deep retail and consumer goods expertise, we can help clients move from concept to production and realize value from agentic AI faster.”
Kath Gramling, Global Consumer Goods, Retail and Travel lead
“Commerce and stunning customer experiences require personalization, and every brand on Klaviyo sits on more customer data and decisions than any team could act on by hand. Claude closes that gap, turning consumer preferences and performance data into the insights, campaigns and personalization that drive revenue. That's why we keep building with Anthropic: agents do complex analysis, design and decision making, and businesses can focus on delighting customers.”
Andrew Bialecki, Founder and Co-CEO
“We want our merchants to be everywhere customers are shopping, and increasingly that means a conversation with an agent. We're building on Anthropic's blueprints with a reference storefront implementation that connects them to a merchant's store through Catalog, UCP and Shop Sign-in. Merchants can use Claude to build agents that help customers find products, check out, and answer questions about their orders.”
Vanessa Lee, VP Product
“A trip is one of the most complex things a person buys: flights, hotels, cars, and dozens of options to weigh against each other. Penny, our AI assistant, navigates all of that in one conversation and surfaces the best options and best value. We built the latest generation of Penny on Claude because that kind of reasoning is exactly what Claude models are good at.”
Cobus Kok, Vice President, AI Experiences
“Wix’s mission has always been to make complex technology simple and accessible for our users. For merchants, that means providing powerful commerce capabilities without adding operational complexity, and agents are a natural next step. Our engineers had a working commerce agent taking prompts within fifteen minutes, and the pilot showed the potential of combining Anthropic’s AI capabilities with Wix’s commerce platform and deep expertise in commerce for SMB.”
Dror Zalika, Head of Commerce at Wix
“Millions of consumers, businesses and accountants run their finances on Intuit. Working with partners like Anthropic, we're building highly personalized experiences that provide customers with a clear understanding of what's shifting in their business and why, so they can take action with complete confidence. We are creating a financial system of intelligence by combining frontier AI reasoning, including Claude, with our proprietary data, capabilities, intelligence, and human expertise that powers the next level of prosperity for our customers.”
Chris Kasten, Intuit’s Chief Architect and SVP of Engineering, Platform and Development Xceleration Group
“Our engineers had the blueprint running with no blockers; the setup worked exactly as documented. The practices it bakes in, from tool iteration limits to prompt caching, are the ones we recognized from building Zomato's own agent. Teams standing up their first agent on Claude will skip weeks of trial and error.”
Akhil Bansal, Senior Engineering Manager
“Our engineers had both commerce agents from Anthropic's blueprint running locally in well under an hour, with live conversations working on the first attempt. We ran the Claude Code workflow twice and got two different architectures back, each designed to what we'd asked for. For a team starting from scratch, that turns days of agent scaffolding into hours.”
Ashley Nader, Staff Product Manager
“Much of what we build at Square is about giving sellers time back, and agents are a big leap in our ability to do that. We're building agentic tools that watch sales, labor, and inventory and come back with real next steps, not just an answer, while keeping sellers in control. Trust is the hardest part of that work, and Claude helps us meet a high standard.”
Willem Avé, Head of Product
[Prev](#)
Prev
0/5
## Build quickly for customers and merchants
The same architecture, tools, and setup with an intuitive presentation layer for customer-facing and internal agents. Pick the skills you need, tuned to your industry.
### Consumer agents
Embed a conversational layer in your app to help customers move from intent to your cart.
**Skills**
- Catalog search and discovery
- Planning and shopping lists
- Cart actions and checkout
- Customer care
- Personalization and memory
### Merchant agents
Run store operations through internal agents so merchants can question performance.
**Skills**
- Sales analytics and insights
- Catalog and inventory management
- Promotions
- Campaign management
- Personalization and memory
## Choose how you build on Claude
Flexible ways to build your commerce agent, fitted to the way you work. The repository comes with reference implementations for building each agent using Claude’s frameworks.
### Messages API
Direct model access for full control over your agent loop.
Learn more
[Learn more](https://platform.claude.com/docs/en/build-with-claude/working-with-messages)
Learn more
### Claude Agent SDK
The same agent loop and tools that power Claude Code, in Python or TypeScript, for teams that want to build the harness themselves.
Read documentation
[Read documentation](https://code.claude.com/docs/en/agent-sdk/overview)
Read documentation
### Claude Managed Agents
Build production agents with a composable suite of APIs, without managing infrastructure.
Read documentation
[Read documentation](https://platform.claude.com/docs/en/managed-agents/overview)
Read documentation
### Claude Code plugin
Use the plugin to take the blueprint and your chosen reference implementation and start building in Claude Code. Available in the repo.
Learn more
[Learn more](https://github.com/anthropics/commerce-agents)
Learn more
40%
higher conversion for small businesses selling through sales agents
Commerce resources
[Announcing Claude Commerce agents](https://claude.com/blog/claude-for-commerce-agents)
Announcing Claude Commerce agents
Announcing Claude Commerce agents
Blog
[Blog](https://claude.com/blog/claude-for-commerce-agents)
Blog
[Fork the repository to get started](https://github.com/anthropics/commerce-agents)
Fork the repository to get started
Fork the repository to get started
Repo
[Repo](https://github.com/anthropics/commerce-agents)
Repo
[Building Claude Commerce Agents](https://www.anthropic.com/webinars/building-claude-commerce-agents)
Building Claude Commerce Agents
Building Claude Commerce Agents
Webinar
[Webinar](https://www.anthropic.com/webinars/building-claude-commerce-agents)
Webinar
[The anatomy of effective commerce agents](https://claude.com/blog/the-anatomy-of-effective-commerce-agents)
The anatomy of effective commerce agents
The anatomy of effective commerce agents
Blog
[Blog](https://claude.com/blog/the-anatomy-of-effective-commerce-agents)
Blog
[Explore Claude Managed Agents](https://claude.com/blog/claude-managed-agents)
Explore Claude Managed Agents
Explore Claude Managed Agents
Blog
[Blog](https://claude.com/blog/claude-managed-agents)
Blog
[The Enterprise AI Transformation Guide for Retail](https://resources.anthropic.com/hubfs/The-Enterprise-AI-Transformation-Guide-for-Retail.pdf)
The Enterprise AI Transformation Guide for Retail
The Enterprise AI Transformation Guide for Retail
Guide
[Guide](https://resources.anthropic.com/hubfs/The-Enterprise-AI-Transformation-Guide-for-Retail.pdf)
Guide
## FAQ
About the offering
Trust and safety
Active
### About the offering
### Is this a product we buy, or code we maintain ourselves?
It's an open reference implementation, not a supported product. You fork the repository and own what you build from it. Anthropic doesn't maintain it or accept contributions, and there's no service level agreement on the reference code itself.
### Is Anthropic moving into commerce?
No. Claude is your intelligence layer, not a storefront or checkout. We're not interested in owning catalogs, supply chain, or the last mile, and there's no advertising or paid placement of Claude in any agent you build. Your relationships stays yours.
### We're not in one of the four verticals. Is this still useful?
The four reference implementations are starting points. Retail, travel, telecom, and entertainment ship with the repository, and the agent pattern isn't limited to any of them.
### Do we have to use every skill?
No. The setup flow walks through where the agents run, which systems they connect to, and which workflows you want to change. Start with the skills that match your surface and leave the rest.
[Prev](#)
Prev
### Trust and safety
### What stops the agent from quoting a price that doesn't exist?
The consumer agent is structurally prevented by the harness from inventing a price or a product, and manipulative upsell patterns are prohibited. Cart and refund authority have hard limits, and anything past them escalates to a person.
### Can a merchant agent change something on its own?
By default, it drafts and stages changes, then waits for your review. Nothing reaches your storefront until a person approves it, and it can only act across the backend systems you have chosen to connect. If you prefer to bypass this process, you could tweak the harness to automatically accept changes based on a policy you define.
### How do we test against our own catalog and policies?
The Claude Code plugin writes the tests for you. It builds a suite that runs against your catalog, prices, and rules. We didn’t include a generic test set in the repository because it wouldn't tell you much about your deployment.
### How do we report a security issue?
Through GitHub private vulnerability reporting. The repository documents its threat model, its defense in depth layers, guidance for adversarial evaluation, and what adopters are responsible for. Demo backends are not production hardened.
[Prev](#)
Prev
## Bring Claude to your commerce agent
Fork it, run it, and ask Claude Code to make it yours.
Get started
[Get started](https://github.com/anthropics/commerce-agents)
Get started
[Contact sales](/contact-sales)
[Homepage](https://claude.com)
Homepage
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
[Anthropic](https://www.anthropic.com/)
Anthropic
© \[year\] Anthropic PBC
Products
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[Check files](https://claude.com/check-files)
Check files
- Regional compliance
[Regional compliance](/regional-compliance)
Regional compliance
- Report abuse
[Report abuse](https://claude.com/form/anthropic-content-reporting)
Report abuse
- Security and compliance
[Security and compliance](https://trust.anthropic.com/)
Security and compliance
- Status
[Status](https://status.anthropic.com/)
Status
- Support center
[Support center](https://support.claude.com/en/)
Support center
Company
- Anthropic
[Anthropic](https://www.anthropic.com/)
Anthropic
- Careers
[Careers](https://www.anthropic.com/careers)
Careers
- Policy
[Policy](https://www.anthropic.com/policy)
Policy
- Research
[Research](https://www.anthropic.com/research)
Research
- Anthropic news
[Anthropic news](https://www.anthropic.com/news)
Anthropic news
- Policy on the AI Exponential
---
## bunq-claude-code-case-study-claude-by-anthropic-0829a1062a.md
# bunq builds intelligent banking assistant Finn with Claude
[Try Claude](https://claude.ai)
Industry:
Financial services
Company size:
Medium
Product:
Claude Code
Location:
Europe
~80% automated support resolution
Claude's advanced reasoning improved automated resolution, enabling Finn to handle most support tickets
5-minute account opening
Fully verified bank accounts created through AI-powered automation
[bunq](https://www.bunq.com) is Europe's second-largest neobank, built to serve people and businesses with an international lifestyle. Founded in 2012 by Ali Niknam, bunq empowers 20 million users across Europe to spend, save, budget, and invest through a single user-friendly app.
bunq selected Claude after extensive A/B testing showed it consistently excelled at the complex planning capabilities their support scenarios require. Failed payment investigations, for instance, require checking cards, accounts, balances, and transactions in precise sequences. Claude demonstrated superior ability to reason through these multi-step problems while maintaining the precision needed for their agentic workflows. "When we benchmarked the best models, Claude came out on top," explains bunq's Machine Learning Engineering Lead.
With Claude, bunq:
- Investigates complex banking issues autonomously, planning and executing multi-step investigations for failed payments, transaction disputes, and account issues
- Processes documents instantly using image recognition to handle receipts and verify documents automatically
- Enables real-time multilingual support as the first bank to launch speech-to-speech AI translation, allowing users to speak with support agents in their native language
- Powers rapid onboarding by automating verification processes that enable 5-minute account opening
- Generates precise structured outputs like error-free JSON essential for backend automations
## The problem: Complex banking queries at massive scale
Banking support isn't simple. A single failed payment query might require checking the card status, verifying account details, confirming balance availability, and analyzing the transaction itself—all while maintaining security and accuracy. For a neobank serving 20 million users across Europe with different languages and banking needs, traditional support models couldn't scale.
bunq needed more than a chatbot. They needed an intelligent system that could reason through complex, multi-step investigations while producing the precise structured outputs their automations required. A single JSON formatting error could break entire workflows. The challenge was finding an AI model that combined sophisticated reasoning with absolute precision.
## **Building an intelligent banking assistant**
"From the very beginning, our goal with AI has been simple: make life easy for our users," says bunq's Machine Learning Engineering Lead. "To do that at scale, we built agentic workflows where AI works hand-in-hand with code to solve problems."
The transformation began with Finn's launch in 2023 as a conversational assistant to help users search their finances and navigate the app. But bunq's vision went far beyond basic assistance. They built a multi-agent system that could securely act on behalf of users if they asked it to —investigating issues, processing documents, and executing complex banking operations.
In 2024, bunq became the first bank to launch real-time speech-to-speech AI translation, a breakthrough that exemplified their approach to making banking accessible. Users could now speak to support agents in their native language, with Finn translating in real-time. Combined with app translation into 38 languages, this broke down barriers that had long excluded millions from modern banking services.
The implementation was remarkably swift. Thanks to bunq's in-house LLM router—which manages different models, providers, and configurations—adding Claude took just days. "Our internal benchmarks and LLM router made it easy to test and integrate quickly," the team notes. "The Anthropic team was always on hand to support us, from optimizing prompts to scaling up capacity."
## **The outcome: approximately 80% automation with instant account access**
The results demonstrate significant improvements across all metrics. With Claude's advanced reasoning, bunq's automated resolution rate improved by 8%, bringing their total automation to over 80% of all support tickets. Users get faster, more reliable answers without waiting in queues or navigating complex phone trees.
The impact extends beyond user support. Engineering productivity improved instantly with Claude Code—new developers now contribute meaningful code in 16 hours instead of 40, a 60% reduction that accelerates product delivery across the organization. "This combination made implementation seamless and much faster than we'd experienced with other models," the team reports.
Most importantly, bunq has redefined what banking can be. Account opening that once took days with paperwork and branch visits now takes 5 minutes. "We hear from new users all the time that they're amazed at how quick and seamless the experience is," says the ML Engineering Lead. "For them, it's not just about speed, it's about freedom. Instead of waiting days or visiting a branch, they're up and running in minutes."
Looking ahead, bunq sees enormous potential to expand Finn's capabilities. The team envisions users simply asking Finn to "set aside 20% of my income for taxes" or "move €50 from my main account to my vacation savings" and having it done instantly.
"We're just scratching the surface of what AI can do for banking," the team explains. "Anthropic's focus on trust, safety, and reasoning aligns perfectly with bunq's mission to make life easy without ever compromising security."
## Related stories
### How Qonto delegates financial admin for small businesses with Claude on Amazon Bedrock
### Pictet turns weeks of work into hours with Claude Code
### How Satispay's engineers write 75% of their code with Claude
### OffDeal powers every stage of M&A advisory with one Claude-based agent
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## campfire-claude-platform-api-case-study-claude-by-anthropic-760a052282.md
# Campfire accelerates accounting with Claude
[Try Claude](https://claude.ai)
Industry:
Financial services
Company size:
Small
Product:
Claude Platform
Location:
North America
3-day reduction
in monthly close time
90% reduction
in bank reconciliation time
Campfire, a modern accounting software provider for high-growth tech companies, uses Claude to automate complex accounting tasks and reduce monthly close times. Their Claude-powered platform includes invoicing, billing, revenue accounting, financial statements, and AI-powered conversational reporting.
With Claude, Campfire achieved:
- 3-day monthly reduction in customer close time
- 90% reduction in bank reconciliation time
- 50% reduction in reporting time
- Streamlined integration of data analysis and automated task execution
## Making accounting work strategic not tedious
Traditional accounting software had reached its limits with rule-based automation, leaving accounting teams bogged down by manual tasks. Campfire approached this challenge strategically, prioritizing AI projects based on usage data and time spent in their software to maximize customer impact. Their goal focused on unlocking new efficiency gains by leveraging AI so customers could achieve faster monthly closes while maintaining accuracy and auditability.
## Why Claude stands out for financial reasoning
After evaluating multiple AI models, Campfire selected Claude for three key advantages. First, Claude demonstrated superior performance in their internal benchmarks. Second, Anthropic provided crucial technical support and implementation blueprints that accelerated product development. Finally, Anthropic's established trust in the industry was essential for Campfire's security-conscious accounting and finance customers.
The engineering team at Campfire, led by CTO Paul Nichols, leveraged Claude's financial "recipes" API framework for rapid deployment. "Our engineering team found a lot of value in Anthropic's ‘[cookbook](https://github.com/anthropics)’ to build AI into our product," said John Glasgow, CEO and Founder of Campfire. This framework enabled Campfire to optimize their roadmap to save the largest number of customers the most amount of time.
## How Claude transforms accounting workflows
Campfire integrated Claude to power key capabilities in their platform:
- Ember AI chat interface enables natural language queries of financial data, audit support, and flux analyses with detailed commentary. Ember explains logic and reasoning, shows its work, and provides source data—a critical requirement for accounting professionals.
- Automated bank reconciliation that parses bank statements and identifies discrepancies.
- Intelligent data integration merges external data with Campfire records for tasks like budget vs. actual analysis.
## Delivering measurable impact for accounting teams
The impact on accounting teams has been profound and emotional. One customer said about Ember AI, "It helps us get more done with fewer headaches, and that’s everything in today’s “do-more-with-less” world.” Another customer was moved to tears when describing the bank reconciliation functionality as "life-changing," noting it eliminated what had previously consumed 80% of their bandwidth.
Beyond individual features, Campfire has fundamentally changed how accounting teams work. Their customers have reduced close times by three days per month on average, while cutting time spent on bank reconciliations by 90%, and reporting by 50%. This efficiency extends internally—100% of Campfire's engineering team uses Claude to accelerate feature development and deployment.
These improvements translate directly to business value for Campfire's customers. Teams can now automate complex accounting tasks, enhance data analysis through chat-based queries, streamline bank reconciliation, and execute accounting tasks via natural language—all while maintaining the accuracy and auditability required in professional accounting.
## Building the future of strategic accounting
Campfire envisions a fundamental transformation of the accounting profession. Automation will eliminate tedious manual work, freeing accounting professionals to become true strategic partners to their businesses. Through their partnership with Anthropic, they’re revolutionizing accounting workflows by continuously finding new ways to make complex processes more efficient with Claude. Their roadmap extends beyond accounting, with plans to make Ember AI available to heads of departments of non-finance teams, such as sales, engineering, and marketing, through integrations with platforms like Slack, made possible because of its conversational interface.
"Our ultimate goal is to elevate the accounting profession," said Glasgow. By automating routine and repetitive aspects of accounting work, Campfire aims to transform accountants from number-crunchers to strategic advisors focused on driving business growth and making high-impact financial decisions. With the power of generative AI, they're creating a future where accounting teams can dedicate their expertise to what they do best—providing the strategic insights that help businesses thrive.
## Related stories
### How Qonto delegates financial admin for small businesses with Claude on Amazon Bedrock
### Pictet turns weeks of work into hours with Claude Code
### How Satispay's engineers write 75% of their code with Claude
### OffDeal powers every stage of M&A advisory with one Claude-based agent
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## canva-claude-enterprise-case-study-claude-by-anthropic-2cc02cb9b4.md
# Canva empowers employees across teams with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Medium
Product:
Claude Enterprise
Location:
Asia Pacific
5,000 employees
empowered with Claude for Work across all teams
65% adoption
reporting daily AI use for productivity
Canva, a leading design and collaboration platform with over 5,000 employees, empowered their teams with Claude for Work, resulting in rapid demand and widespread adoption across the organization. Claude quickly became a highly popular ‘go-to’ tool, with employees showing remarkable enthusiasm for its capabilities. From engineers to product managers, teams across Canva use Claude to bring their ideas to life.
With Claude, Canva:
- Democratizes prototyping, allowing employees to create designs without specialized tools
- Boosts engineering productivity with powerful code generation
- Allows team members to quickly write copy in the correct tone and nuance, ideal for polishing content and allowing brand voice consistency
- Empowers business teams to create custom solutions independently
## Building an experimental AI ecosystem
When Canva began formalizing and expanding their AI assistant tooling in mid-2024, they approached it differently than traditional technology rollouts. They embraced a top-down philosophy driven by their founders, which aimed to help empower Canva’s workforce through familiarity with the technology. Samantha Garrett, who heads Canva's internal AI Solutions team within the IT Department explains, "We knew it was up to us to give our team the space and time to test, learn and discover what good prompting looks like.”
Instead of locking in a single AI vendor, Canva deliberately created an ecosystem of AI tools to offer their employees. Garrett explains, "We knew there would be rapid developments in different tools that would benefit different groups. We wanted to provide room for experimentation."
## Why Claude stood out in Canva's AI toolbox
In this multi-vendor environment, Claude stood out as a great ‘go-to tool’ for many employees. Garrett notes, "Claude has been an extremely popular choice over the last six months."
Demand for Claude licenses quickly outpaced supply, creating enthusiasm within the company. As Garrett recalls, "We had people begging for Claude accounts—literally."
Beyond its technical capabilities, Claude's approachable interface and communication style were key differentiators. "People can't pinpoint it, but Claude has this vibe in the way it responds. The way it communicates leaves you feeling warm afterwards."
Another crucial factor was the enterprise-ready nature of [Claude for Work](https://claude.com/solutions/enterprise). "We felt Claude was built enterprise-first, with all the features we truly care about. Even though it was very early days for Claude for Work, we were impressed by their roadmap and saw it as a product that would continue to evolve in ways that would align with what we needed,” said Garrett.
## How Claude enhances work across Canva
Claude's integration into Canva employees' workflows supports several key use cases:
- **Design prototyping**: Designers use Claude to simulate and iterate user testing of Canva templates, with Claude populating templates with content from screenshots.
- **Component building**: Teams build interactive components that can be tested with real users without developer resources.
- **Product visualization**: Product managers use Claude to develop prototypes of new features and visually explain concepts to engineers or designers.
- **Collaboration**: Product managers and designers use Claude's Projects feature to maintain context about product design styles, principles, and philosophies, creating reusable workspaces for consistent outputs.
- **Code generation**: Engineers provide "overwhelming feedback about Claude's excellent capabilities" in writing and optimizing code.
Garrett explains: "One product manager commented, 'Claude has allowed me to create prototypes I wouldn't have attempted otherwise, giving me a visual way to communicate my ideas to the team.'" The Projects feature has been valuable, allowing teams to build design knowledge repositories for Claude. "It's enabling people from non-design backgrounds to express concepts in a completely new way."
## From AI everywhere to AI impact
Encouragement in testing, learning and experimenting with AI tools has quickly cultivated a culture of collaboration among Canva’s team, with employees regularly sharing their AI successes with one another. Garrett says, "We have internal Slack channels for sharing AI success stories. People regularly post videos showing 'here's this cool thing I did with Claude.'" Canva’s internal education team, Canva University, has also put together ‘AI school’ content for employees to learn and implement AI. This has contributed to 65% of team members recounting that they use AI to increase productivity and effectiveness either “everyday” or “often”.
Looking ahead, the company is shifting from "AI everywhere" to "AI impact," to better quantify the productivity gains and business benefits of their AI investments.
## Navigating the AI future with Claude
Canva's AI journey represents a shift in technology adoption within organizations. Garrett reflects, "Never before have we seen new technologies adopted so quickly and integrated so meaningfully as part of the day-to-day.”
In this evolving landscape, Canva employees value Claude's enterprise capabilities, user-friendly interface, and high-quality outputs. Garrett concludes, "It's key to encourage teams to experiment and learn as they go in a space that’s changing so quickly. Rather than waiting for all the answers, giving people the space to test ideas and adapt helps us grow with the technology—and shape where it goes next, together."
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## carta-healthcare-claude-platform-api-case-study-claude-by-anthropic-2f6642f332.md
# Carta Healthcare cuts clinical data processing time by 66% with Claude
[Get started](https://claude.com/solutions/healthcare#pricing-section)
Industry:
Healthcare
Company size:
Medium
Product:
Claude Platform
Partner:
AWS
Location:
North America
Up to 66% reduction
in time required for clinical data abstraction
+50% cost savings
on abstraction work while maintaining the industry's highest quality data
Advancing Claude in healthcare and the life sciences
Transform healthcare from insight to action
[Read more](https://www.anthropic.com/news/healthcare-life-sciences)
Claude for Healthcare
Claude helps healthcare organizations move faster without sacrificing accuracy, safety, or compliance. Less administrative work, more time with the people you serve.
[Read more](https://claude.com/healthcare)
[Carta Healthcare](https://www.carta.healthcare/) began with a simple frustration at Stanford Children’s Hospital: slow, manual data collection was holding back meaningful progress. That challenge sparked a new idea to pair AI with clinical expertise, to make clinical data abstraction faster, higher quality and lower cost, what Carta refers to as “hybrid intelligence.”
## With Claude, Carta Healthcare:
- Reduces clinical data abstraction time by up to 66% while improving data quality
- Enabled processing of clinically complex questions that were previously impossible to automate
- Achieve 98-99% Inter-rater Reliability (IRR) scores, which is the healthcare industry's gold standard for data quality
- Transformed clinicians from manual data hunters into high-value validators and users of data to drive healthcare improvement
## The problem
Every day, hospitals generate mountains of clinical documentation, including physician notes, lab results, medication records, surgical reports, and more. Buried in these records are answers to critical questions that clinical registries need: Did this surgical patient develop an infection within 30 days? What was their BMI at admission? Were antibiotics administered within the correct window before incision? What was the door-to-balloon time?
Extracting these answers is called clinical data abstraction, and it is painstaking work. Trained abstractors spend, on average, one hour per case manually combing through clinical notes and documents, hunting for specific details buried in the electronic medical record. For complex cases, that time can stretch to five or six hours. A single health system might need to abstract more than 22,000 surgical cases per year, spending over 11,000 hours of labor annually.
But the challenge is not only the volume. Clinical documentation is messy, inconsistent, and often scattered across multiple systems and formats. Even within the same hospital, the “right answer” to a registry question may require interpretation, reconciliation of conflicting notes, and deep understanding of clinical intent. That complexity is why traditional automation attempts often fall short, and why purely manual workflows remain expensive and difficult to sustain.
“Hospital information systems are very complex and traditional data extraction and integration workflows inside hospitals are notoriously brittle, vary widely from system to system, and often break when electronic medical records are upgraded,” said Andrew Crowder, Vice President of Engineering and CISO at Carta Healthcare. “We needed an approach that insulated us from these inconsistencies and allowed us to deliver value without being tied to fragile, site-specific processes.”
## Choosing Claude
Security was the deciding factor in Carta Healthcare's model selection. Handling sensitive medical information, including protected health information, requires rigorous data privacy controls. Claude's availability in Amazon Bedrock provided the confidence Carta Healthcare needed with data privacy protections and assurance that customer data wouldn't be used for model training.
"While other models were available in Amazon Bedrock, no other model showed the capability for reasoning and understanding we found in Anthropic's models," said Crowder. "In addition, the published research on bias and model alignment has allowed us to pass rigorous hospital AI reviews."
That combination of security infrastructure, reasoning capability, and documented research on model alignment allowed Carta Healthcare to clear the high bar of hospital IT and AI review boards, a prerequisite for any system handling patient data.
## Building a clinical-grade AI system
Claude powers Carta Healthcare's Lighthouse platform, serving as the AI engine for clinical registry abstraction. Claude interprets both structured and unstructured medical data semantically, understanding the clinical context to formulate answers, provide justifications, and surface direct citations from medical records. The system can find evidence that's easy to miss in manual reviews, such as documentation buried deep in a chart or originating from encounters years earlier.
Carta Healthcare implemented a two-phase extraction pipeline. In the first phase, Claude Haiku 3.5 and Sonnet 4 extracted relevant information from medical documentation, processing both structured data and unstructured clinical notes. In the second phase, Claude Sonnet synthesized all extracted evidence to formulate suggested answers to registry questions, scoring and ranking the evidence. This approach improved accuracy and reduced the validation burden for abstractors. They now validate findings rather than hunt for them.
Because the system is built around Claude's ability to understand natural language, clinical experts can improve it directly. When abstractors notice an issue, the team adjusts prompts rather than rewriting code—changes that can be tested in production the same day. This keeps the people who understand clinical nuance in control of how the system behaves.
## The outcome
For one large health system abstracting over 22,000 surgical cases annually across 14 hospitals, the results were immediate. Time per case dropped from 30 minutes to 15-22 minutes for routine cases. For complex cases—the ones that used to consume five or six hours of an abstractor's day—time dropped to 90 minutes. Annual time savings reached between 3,667 and 6,050 hours, with Inter-rater Reliability consistently at 99%.
At a large multi-entity health system, manual abstraction for NSQIP cases was a constant strain. With over 22,000 cases annually across 14 hospitals, each taking about 30 minutes to abstract, the workload was immense leading to more than 11,000 hours of labor every year. The process was slow, expensive, and prone to human error. Before using Carta Healthcare’s Lighthouse platform, one experienced abstractor was quite skeptical of AI. She was experienced and clinically sharp, and worried that AI would not meet her expectations.
But she saw potential. She met with Carta Healthcare’s product team, shared detailed feedback, and worked closely with engineering to refine the platform. Her clinical expertise was critical—she knew when something didn’t look right, and her input helped shape Lighthouse into a tool she could rely on.
Today, she trusts Lighthouse completely. For complex cases, she even uses it as a second set of eyes, double-checking occurrences as well as catching subtle details like post-op medications that might otherwise slip through. As she puts it, “Lighthouse doesn’t replace my judgment, it enhances it.” The impact has been dramatic:
Selecting Claude as the core LLM has fundamentally changed Carta Healthcare's business model. By automating the cognitive work of abstracting unstructured clinical data, Claude and Lighthouse transformed the company's clinicians “from manual data hunters into high-value validators,” explained Crowder. Carta Healthcare reports 100% customer retention; 90% of customers also expand their engagement over time.
Looking ahead, Carta Healthcare plans to expand their AI capabilities to handle more complex registry scenarios, including cases with multiple procedures. "We are excited to grow both our usage of Anthropic's models." Crowder said. "We also look forward to expanding our technical relationship as we explore new possibilities with Claude."
## Related stories
### How League went all in on Claude in a regulated industry
### League cuts product development cycle times in half with Claude
### How can a medical lab keep patients at the center of its work while the caseload keeps growing?
### How Zingage automates care coordination for 400+ home care agencies with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## carvana-claude-tag-case-study-claude-by-anthropic-88dabd2972.md
# Carvana turns Slack alerts into production fixes with Claude Tag
[Try Claude](https://claude.ai)
Industry:
Retail Services
Company size:
Large
Product:
[Claude Tag](https://claude.com/product/tag)
Location:
North America
56% fewer alerts
after Claude Tag began resolving the root causes behind them
Answers 65% faster
for the wholesale platform team's issue and alert triage
A production alert at [Carvana](https://www.carvana.com/) used to wait for an engineer. Now, Claude Tag can begin investigating as soon as the alert reaches Slack. It identifies the team that owns the affected code and posts a root-cause analysis in the team’s preferred format, all before an engineer begins manually working through the issue. Carvana, the online car retailer, had previously built two versions of this kind of Slack-based AI internally before adopting Claude Tag.
## With Claude Tag, Carvana:
- Cut alerts in its retail science channel by 56% by resolving the root causes
- Gets answers 65% faster for its wholesale platform team by checking tickets and code itself
- Automatically takes a production monitoring alert from Slack to a pull request, human review, and production
- Verifies every release against a log baseline from the hour before it shipped
- Replaced two homegrown Slackbots while giving each team its own scoped access to Carvana’s data warehouse
- Runs hourly checks that catch failing pipelines and stale feature flags and start the fixes
## The challenge
## Multiplayer AI Carvana had to maintain
Carvana wanted AI inside Slack, where entire teams could watch it work and jump in. It built that twice on its own. The first version was a homegrown agent loop: an API call wired to a few tools, sometimes looping back for a second pass. Then, about a year ago, came a second one: the Claude Agent SDK wrapped in a Slack app. Both shipped, and both did the job.
"Our internal tools demonstrated what was possible," said Alex Devkar, SVP of Engineering and Analytics at Carvana, "but maintaining them required time and resources that could be better spent running the business." A small team had to babysit the bots on top of its real work. Access controls presented a bigger challenge. The homegrown bots were limited, especially because connecting them to additional services while preserving team-specific permissions would have required significant additional work. Carvana’s wholesale platform team ultimately chose not to adopt the tools because the team was uncertain how long they would be supported, or whether another migration would soon follow.
## The solution
## Managed agents with per-team identities
When Claude Tag launched, Carvana didn’t hesitate. "Tag was an obvious next step for us," Devkar said. "It has all the might of Anthropic behind it, from hosting and authentication to the underlying infrastructure, allowing our teams to focus on applying the technology to meaningful business problems." What sold him was one feature in particular: the ability to drop a bundle, a packaged set of instructions, tools, and access scoped to one team's use case, into a single Slack channel. "Bundles are one of Claude Tag’s most valuable capabilities," he said. "They allow us to tailor the instructions, tools, and access to how each team works, making the experience both useful and scalable."
Customization made Tag easy to drop into a single channel. The way it handled access let Carvana deploy Claude Tag everywhere. Claude Tag can run under its own scoped identities, so Carvana set up one connection to its cloud data warehouse, plus separate identities that give individual teams their own slice. "Claude Tag gives us the flexibility to provide teams with access to the data they need while maintaining appropriate controls," Devkar noted. "Previously, we would have had to build and maintain those protections ourselves." The wholesale platform team now relies on Claude Tag in production. When a vehicle’s status needs to be found in an internal system, Claude Tag runs the VIN through Carvana’s data warehouse to trace where it is in the process and what state it is in.
Carvana’s internal testing group, known as the Pathfinders, has been testing Claude models since Sonnet 3.5, using them for coding and other complex, multi-step work. Claude Tag now defaults to Opus 5, which Carvana has found very well-suited to the range of tasks run through Tag. Across the company, teams use Opus, Sonnet, and Haiku based on the needs of each workflow.
Fable is also available to select power users beyond engineering. In one example, a senior attorney at Carvana used Fable to work across large transaction document sets, maintaining consistency even deep into lengthy reviews. The attorney particularly values Fable’s ability to distinguish between facts and estimates and to identify gaps in the source material rather than fill them with plausible answers. “In my work, a confident wrong answer is far worse than no answer,” the attorney said.
## From alert to merged fix
The retail science, verification, and wholesale platform teams all get initial alerts the same way: Slack. Claude Tag monitors the Slack channels where production monitoring warnings show up and automatically begins investigating. "Our teams are using Claude Tag to move from a production alert in Slack to investigation, a pull request, human review, and ultimately resolution," Devkar said.
On the retail science team, that flow runs on a standing prompt and a fixed format for root-cause write-ups. Alerts arrive already investigated: Claude Tag works out who owns the broken code, tags them, and lays out its analysis in the exact shape the team asked for. It picked that format up once, from a single prompt, and has kept to it since. Engineers now ask it to open the pull request straight from the analysis, so fixing a bug turns into one more message in the same thread.
Carvana's customer verification team wired Claude Tag into the Slack channel where software releases and errors already land. Every release gets checked against a baseline from the hour before it shipped, comparing errors, warnings, and log volume automatically, with no one asking. The comparison logic lives as a skill in the team's own repo, next to the runbooks and the notes for each alert, so knowledge that used to sit with a couple of senior engineers is now in version control and applied the same at 3 a.m. as at noon. One weekend, a strange deployment came through that the existing logs could not explain. Rather than give up, Claude Tag opened a pull request to add better logging, improving the system it was watching.
The wholesale platform team gave Claude Tag the hardest test: two weeks in its intake and alert channels. It had read-only access to the same resources an on-call engineer would typically consult, including work tickets, build history, and code. Across five cases, Claude Tag traced the initial report to its underlying cause and identified the relevant code rather than restating the symptom. In one case, it investigated an intermittent reporting gap and determined that the issue originated in a downstream service rather than the system initially suspected. It also handled work like: scoping a feature request down to a precise set of changes, catching a design trap the requester had missed, or triaging a build failure and then walking back its own first conclusion when a retry proved it wrong. Told an infrastructure outage was the likely cause of one alert, it stood down, checked that nothing bad had slipped through, and flagged the follow-up for once it cleared. Each case ended the way a careful engineer would, with a ticket filed, a pull request offered, or a fix deliberately not made. "They're letting Tag be a teammate," Devkar said.
Not every issue needs to interrupt an engineer in real time. Some teams schedule Claude Tag to check pipelines and feature flags hourly, identify problems, and initiate the appropriate follow-up. The approach costs less than continuous monitoring while helping engineers stay focused on higher-priority work, Devkar said.
## The outcome
## Alerts that stop firing
Claude Tag spread organically across Carvana. Teams shared successful investigations in open Slack channels, allowing others to see how it worked and identify additional use cases. The wholesale team that had declined to adopt the homegrown bots went all in on Claude Tag. "Once the team saw that Claude Tag had the capabilities and controls it needed, they were able to adopt with confidence," Devkar explained.
Even the migration off the old bots became a job for Claude Tag. One Pathfinder pointed it at the outgoing chatbot with a single instruction: "Watch all of the answers from that chatbot, which has skills to do the work, and pick up all the things you need to pick up in order to replace it." It spent a week or two working through the old bot's output, and the team switched over soon after.
In the retail science channel, alert volume declined 56% as Claude Tag helped teams address recurring root causes rather than repeatedly clearing the same alerts. On the wholesale platform team, Claude Tag reduced the time required to reach an answer by 65% by reviewing tickets, build history, and code that an engineer previously would have searched more manually.
The change shows up in more than the two numbers above. People filed issues before Tag, but they raise far more of them now, because they know Claude Tag will pick each one up and carry it toward a fix.
The next frontier for AI coding assistants is bigger than triage. Half a dozen teams inside Carvana are now building multiplayer flows on top of Claude Tag. "This evolution is a more collaborative environment where product managers and engineers can move from identifying a bug or proposing an idea to developing and shipping a solution together," he said. "That work can begin in the tools where teams already collaborate, without every step requiring someone to open a code editor. That's the key in a multiplayer environment."
## Related stories
### How can a Boston restaurant owner pay people what they deserve and still keep the lights on?
### Advantage Solutions gives frontline managers 70,000 hours back with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## caylent-claude-agent-sdk-case-study-claude-by-anthropic-55c9ff3295.md
# Caylent turns months of migration work into days with Claude Agent SDK
[Try Claude](https://claude.ai)
Industry:
Professional services
Company size:
Medium
Product:
Claude Platform
Partner:
AWS
Location:
North America
90% reduction in engineering hours
on a 2,500-procedure database migration
\$600,000 in annual licensing eliminated
alongside a 58% faster migration
One database migration can cost more than 10,000 hours of engineering work before a single workload is validated. For years, that math priced modernization out of reach. Caylent, a cloud consultancy that helps more than 1,200 customers build and run their systems on Amazon Web Services, built Caylent Accelerate™ to break that math: an agentic delivery system that runs hundreds of Claude instances in parallel, finishing migrations in days instead of months.
## With Claude, Caylent:
- Cut engineering hours by 90% on a 2,500-procedure database migration
- Eliminated \$600,000 in annual licensing for a global enterprise SaaS customer
- Completed database migrations 58% to 82% faster across four additional customer engagements
- Compressed pre-sales environment analysis from weeks to hours
- Expedited 70% of cloud operations remediation work and cut mean time to resolution by 40%
- Reached more than 85% daily Claude use across its 900-plus-person team, with Claude Code as the primary development environment
## The challenge
## Migration math that priced out modernization
Caylent's work centers on getting customer systems onto AWS and modernizing what already runs there, and database migration was the sharpest pain. When a customer moves from a legacy commercial database to a modern open-source one on AWS, thousands of stored procedures have to be translated one by one — roughly four hours each, by engineers fluent in both platforms. That expertise is rare, and many customers deferred entirely, letting technical debt compound.
Cloud migration assessments had a parallel problem: mapping application and server dependencies for a mid-sized environment consumed months of analysis before a single server moved. "Human bandwidth set a hard ceiling on how many engagements we could accurately scope," the team explained.
Building agents with the Claude Agent SDK
The Claude Agent SDK is a collection of tools that helps developers build powerful agents on top of Claude Code.
[Read more](https://claude.com/blog/building-agents-with-the-claude-agent-sdk)
## The solution
## Proven on Caylent first
The route to Accelerate started inside Caylent. "We became our own first customer before we built anything for anyone else," the team said. More than 85% of the 900-plus-person company uses Claude daily, and DevBench, an internal harness for large engineering backlogs, compresses hundreds of hours of effort into 10 to 20.
"Caylent runs on Claude," said Randall Hunt, Chief Technology Officer at Caylent. "We’ve deployed Claude Enterprise company-wide and made Claude Code our engineers’ primary development tooling. We’ve already instrumented Claude Tag in several workstreams across departments and we built our global context management and autonomous backlog development systems entirely on Claude models. This daily operating experience, combined with Anthropic’s pace of innovation, has convinced us that we’re building on a compounding technology stack. Through Caylent Accelerate and ACE, our Anthropic consulting division, we put these same patterns to work for our customers."
Model selection for customer deployments started from one constraint: as an AWS Premier Tier Services Partner, Caylent runs Accelerate inside customers' own AWS environments through Amazon Bedrock, so models unavailable on Bedrock were excluded from the start. Caylent then tested frontier and fine-tuned open-source models on security, enterprise suitability, and task performance. Claude stood out on instruction-following, code generation across database dialects, and reasoning over the long contexts migrations produce. "In production, inconsistent outputs are expensive, and Claude's reliability was the deciding factor," the team noted.
## How it works: Specialized agents inside a customer's own AWS account
With the model chosen, the question became orchestration. The first version of Accelerate, Caylent's agentic delivery system, ran on a homegrown harness. It proved the concept but was brittle: custom orchestration code, hard to maintain, and slow to extend.
The team rebuilt Accelerate on the Claude Agent SDK, adopting the same agent loop and tool infrastructure that powers Claude Code. Heavier orchestration frameworks added abstraction the pipelines didn't need, while the Claude Agent SDK let the team define agent behavior directly in markdown, keeping orchestration logic in prompts rather than application code. That made Accelerate, in the team's words, "faster to build, easier to iterate, and simpler to debug."
Each workflow Accelerate runs for a customer is now a pipeline of stages assigned to specialized Claude agents, each scoped to only the tools it needs: an inventory parser, a dialect translator, a guardrail validator, a summary generator. An orchestrator routes work between them and selects the right model for each task, Haiku for high-volume parsing, Sonnet for synthesis and executive output. In database modernization, the pipeline parses the full inventory, classifies every object by complexity, and retires dead code before translation begins. Claude translates the active objects into the target dialect and tests them, the guardrail agent validates each translation before it commits, and a summary agent turns the results into a business-ready assessment with time and cost projections. The division of labor is deliberate. "Deterministic scripts handle precision tasks," the team explained. "Claude handles everything requiring reasoning, judgment, or language, which is most of the work." Engineers validate edge cases and final output.
Everything stays inside the customer's AWS account: no data transit to external systems, no customer data used for model training, and an AWS CloudTrail audit log capturing every AI-assisted action. Accelerate also runs before a contract is signed. In hours rather than weeks, it produces a complexity breakdown, a time estimate, and projected savings, so the first sales conversation starts from evidence.
Claude on Amazon Bedrock
Build innovative AI applications with safer systems from Anthropic, supported by secure infrastructure from AWS.
## The outcome
## 90% fewer hours and a cleaner database
The flagship engagement, one of Accelerate's earliest, cut migration hours by 90% for Arborgold. The software company had carried its SQL Server estate for more than a decade: 2,500 stored procedures across five database clusters, the kind of technical debt a founder-owned software business keeps deferring because the bill never pencils out. The target was Amazon Aurora PostgreSQL, and translated by hand, the work ran to roughly 2,600 hours.
Accelerate started by reading the whole estate, and the first finding changed the project: 1,850 of the 2,500 procedures were dead code no workload had touched in years, objects a manual team would have translated anyway. Claude classified every object, retired the dead ones, translated the active procedures, and validated each through the guardrail agent. The migration finished in about 220 hours instead of 2,600, with active procedures translated 66% faster than the general-purpose AI tools tried without Accelerate. With projected database costs down 77%, Arborgold ended with a cleaner database than it started with and a modernization path that had been priced out the week before.
A software asset management company brought a smaller version of the same problem: 257 Oracle objects scoped at roughly 1,486 hours. Accelerate finished in about 268 hours, an 82% cut worth \$202,000 in savings. "The economics hold whether the migration is large or small," the team said. The pattern repeats: migrations 73% faster at a healthcare IT provider, 75.7% faster at a data services firm that saved 2,374 engineering hours, and 58% faster at a global enterprise SaaS company that also eliminated \$600,000 in annual licensing.
## Looking ahead: A practice built on Claude from day one
The architecture reaches past migration too: in Accelerate for Agentic Cloud Operations, Caylent's new managed services offering, Claude on Amazon Bedrock AgentCore expedites 70% of remediation work and has cut mean time to resolution by 40%, while Caylent's engineers focus on the work that moves the business forward.
Caylent's newest practice is Claude-powered from day one: in April 2026, the company launched ACE, its Anthropic Consulting and Engineering practice, advancing its role as a Preferred Services Partner in the Claude Partner Network. Forward-deployed teams embed inside customer organizations to build the integrations and internal capabilities that make AI adoption stick. Every stage of the engagement runs on Claude Code, and DevBench is now available to ACE customers. Demand for that work is concentrating among software-intensive enterprises, and the team sees the question changing: "They have stopped asking whether AI belongs in the software development lifecycle and started asking how to operationalize it."
## Related stories
### How can a two-person fabrication studio make room for problems it’s never solved before?
### LG CNS modernizes 20-year-old enterprise systems with Claude
### How Blank Metal, a lean professional services firm, runs on Claude Cowork
### Quantium scales Claude across Australia's largest enterprises
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## charm-industrial-claude-platform-api-case-study-claude-by-anthropic-e30da54f79.md
# Charm Industrial accelerates carbon removal operations with Claude
[Try Claude](https://claude.ai)
Industry:
Beneficial Deployments
Company size:
Small
Product:
Claude Platform
Location:
North America
3-6 months to days
carbon credit verification time
Geological research
and permitting acceleration
Charm Industrial uses Claude to transform their carbon removal operations, from accelerating scientific research to automating verification processes critical to reversing climate change.
With Claude, Charm Industrial:
- Reduced carbon credit verification time from 3-6 months to just days
- Accelerated geological site research and permitting processes
- Automated marketing operations through AI agents
## Managing massive data complexity in carbon removal
Charm Industrial removes carbon from the atmosphere by converting agricultural and forestry residues—like corn stover and wildfire mitigation thinnings—which contain carbon that plants capture from the air. They use specialized fast pyrolysis machines to transform biomass into stable carbon-rich bio-oil that's then permanently stored in underground wells, overseen by the Environmental Protection Agency.
Charm Industrial sells carbon removal credits—verified certificates that represent one ton of CO₂ permanently removed from the atmosphere—to companies seeking to offset their emissions. With customers like Stripe, JP Morgan and Google relying on these credits, Charm processes tens of thousands of data points across dozens of different systems and hundreds of components for every ton of carbon removed.
"We collect everything from meter readings on our pyrolyzers to truck scale tickets, all of which must be meticulously tracked and verified for carbon credit certification," said Kevin Niparko, Head of Product at Charm Industrial.
This data complexity compounds across their operations: site selection requires analyzing fragmented geological databases across state and county systems, while their chemistry lab generates thousands of experimental data points needing rapid analysis.
The traditional approach to managing this data created a significant bottleneck. Carbon audits that took three to six months meant work completed in January wouldn't generate revenue until mid-year. Manual data collection and processing also increased the risk of delays in identifying errors, making corrections difficult and costly.
"To achieve our ambitious mission and create the global impact we're targeting, we need to leverage AI and new technologies to scale effectively," Niparko explained.
## Choosing Claude for intelligence and speed
After evaluating multiple AI models, Charm chose Claude for what Niparko described as "the optimal balance of intelligence and speed." The decision came down to Claude's ability to process diverse data types accurately and deliver results quickly.
"Claude delivers exactly what we need—high intelligence that consistently provides accurate answers without the long wait times we've seen with other models," Niparko explained.
This balance proved critical for Charm's diverse use cases, from analyzing complex geological surveys to generating code for system migrations.
## How Claude powers carbon removal at scale
Most notably, Claude has helped Charm address one of their most pressing operational challenges: carbon credit verification. Their automated verification system reduced audit completion time from months to days, enabling faster revenue recognition and improved cash flow.
This acceleration benefits Charm's customers too. Major corporations purchasing carbon removal credits receive their verified credits more quickly, allowing them to meet their sustainability commitments on schedule. The improved data quality strengthens trust—critical when customers are paying for a removal product they'll never physically see, but which can be tracked and measured.
Charm also integrated Claude across their operations through several key implementations:
- **Accelerated research and development**: Charm's chemistry lab uses Claude to design experiments and analyze results faster. For geological research, Claude assembles fragmented data from state and county databases to identify potential carbon storage sites, dramatically reducing the time needed to evaluate new sites and prepare permitting documentation.
- **Field operations support**: Charm has integrated Claude into Slack, giving field operators instant access to operational knowledge. Workers can query safety protocols, maintenance procedures, and technical specifications directly where they work.
- **Marketing automation**: Charm uses marketing operations agents powered by Claude to manage marketing backlogs, generate blog post drafts, and support outbound communications, automating tasks that previously required dedicated staff time.
Importantly, Claude helps Charm's team focus on their core mission.
"We've eliminated much of the routine work that consumed our scientists' time, allowing them to focus on advancing our carbon removal technology,” said Niparko.
In fact, six months ago, Charm's leadership launched a company-wide AI initiative that transformed their culture. Now employees actively share AI discoveries in dedicated Slack channels, with teams across the organization experimenting with new use cases and learning from each other's successes.
## Building the future of climate technology
Looking ahead, Charm sees AI as essential to scaling climate solutions globally. The company envisions integrating AI models directly into their manufacturing operations, helping injection teams work faster and collect field data with minimal manual input. This vision extends beyond office work to the heart of their carbon removal operations.
As Charm expands their fleet of pyrolyzers and develops new carbon storage sites nationwide, Claude will continue powering the operational improvements needed to scale carbon removal technology. "AI models like Claude are enabling climate tech companies to scale at the pace required to address climate change effectively,” reflected Niparko.
With Claude accelerating operations, Charm is demonstrating how AI can amplify human efforts to reverse climate change, allowing more companies to join the carbon removal movement and create measurable impact on our planet's future.
## Related stories
### Mercy Corps on what AI makes possible in humanitarian work
### Mercy Corps accelerates global humanitarian response to community feedback with Claude
### The Epilepsy Foundation turns years of expert content into a personal epilepsy assistant with Claude
### How the Epilepsy Foundation uses Claude across the organization
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## chatandbuild-claude-platform-api-case-study-claude-by-anthropic-e8c3f095ca.md
# ChatAndBuild democratizes AI development globally with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
Europe
140,000 users
across 111 countries
\$84M projected
Year 1 revenue from user-created AI agents
ChatAndBuild, an AI-powered no-code app development platform, helps 140,000 users across 111 countries create sophisticated AI applications using natural language. With ChatAndBuild, everyday people—from PE teachers to entrepreneurs—can build AI products without requiring any coding experience.
With Claude, ChatAndBuild:
- Helps users build 100+ AI applications daily across 40+ languages with production-quality code generation
- Empowers users to build and monetize AI products generating \$84M in projected Year 1 revenue
- Reduces app development time by 90% for users building AI-powered platforms
Breaking the barriers between human ambition and digital creation
Before Claude, the AI development landscape was not easily accessible by all. Traditional platforms required extensive coding knowledge, limiting AI creation to technical specialists. Non-English speakers faced additional barriers with inconsistent language support. Meanwhile, users who invested time building AI expertise lost everything when switching platforms, trapped in a rental economy with no ownership of their digital intelligence.
"We faced three seemingly impossible challenges," explained Christel Buchanan, Founder and CEO of ChatAndBuild. "How do you enable a grandmother in rural Thailand to build sophisticated AI applications using her native language with the same power as a Stanford CS graduate? How do you create AI agents that don't just respond but actually learn, remember, and grow more valuable over time? And how do you scale this to support millions of cognitive assets while maintaining safety and performance?"
These weren't just technical hurdles; they represented problems requiring a reimagining of how humans interact with AI.
## Choosing Claude for universal language understanding and code generation
ChatAndBuild's evaluation of AI models revealed Claude as the only solution capable of handling their revolutionary vision. After rigorous testing of every major AI model, Claude emerged with unique capabilities that aligned perfectly with ChatAndBuild's mission of democratizing AI development.
"Choosing Claude wasn't just a technical decision. It was a strategic bet on the future of human-AI collaboration," Buchanan emphasized. "While other models struggled with multilingual consistency or generated brittle code, Claude delivered production-quality applications from natural language across 40+ languages."
The selection also revealed an unexpected economic advantage. ChatAndBuild discovered that users working in dense languages like Japanese could express complex application requirements in 40-60% fewer tokens than English equivalents.
"A Japanese user can express complex application requirements in significantly fewer tokens than the English equivalent," Buchanan noted. "What takes 200 tokens to describe in English might only require 80-100 tokens in Japanese due to the language's information density."
This linguistic efficiency creates a built-in economic advantage for non-English speakers. Better token utilization means longer conversation histories, more complex context, and richer agent training, all for the same cost.
## Creating measurable economic impact through AI democratization
The transformation ChatAndBuild has achieved with Claude extends far beyond individual success stories.
"The most profound capability? We've made entrepreneurship accessible to anyone with domain expertise," Buchanan states. "A therapist can create and monetize therapeutic AI agents. A fitness trainer can build personalized workout applications. A financial analyst can create DeFi strategy agents. Claude transformed us from a development platform into an entrepreneurship enablement engine."
The economic potential is significant. With 140,000 users who could sell AI agents they create, ChatAndBuild estimates this could generate \$84M in revenue in Year 1, growing to \$500M+ by Year 3. Each agent represents human expertise converted into appreciating digital assets.
## Architecting the future of the cognitive economy
ChatAndBuild's vision extends far beyond current achievements. The company is developing a Language-Optimized AI Development Suite that will help developers automatically optimize their prompts and agent training across languages to maximize capability per token.
"Linguistic diversity is becoming a competitive advantage, challenging English dominance in AI," Buchanan explained. "We're creating cognitive derivatives—financial instruments based on agent performance. Imagine AI agent futures markets, or insurance products for cognitive assets." As ChatAndBuild scales to millions of NFAs, they're pushing Claude's capabilities in novel directions: persistent learning, cross-agent collaboration, and complex reasoning chains.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## chatbase-claude-platform-api-case-study-claude-by-anthropic-6888d8095e.md
# Chatbase helps companies deliver instant, personalized customer support with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
Tripled user
adoption since integration
60-70%
of customers in US/Canada
Chatbase uses Claude for AI-driven customer service, helping businesses provide instant, personalized support across web chat, WhatsApp, Slack, and Instagram. Their platform enables customer service teams to automate routine inquiries while maintaining their brand voice and professional standards, transforming customer engagement.
With Claude, Chatbase:
- Supports B2B and B2C companies, from startups to enterprises like PWC
- Tripled user adoption
- Provides support across multiple languages and regions, with 60-70% of customers in US/Canada and a growing presence in Brazil
- Enables seamless customer support across web chat, WhatsApp, Instagram, and Slack
## Building an AI-first customer support platform
Yasser Elsaid founded Chatbase after seeing the potential of emerging AI technologies like vector databases to revolutionize customer support. After studying demos showing how AI could engage in meaningful conversations with data, Elsaid recognized the transformative potential for customer service.
What began as a document chat interface evolved as enterprise customers pushed for more sophisticated features. Today, Chatbase helps companies automate support across multiple channels while maintaining their brand voice. Their platform integrates with business systems to give AI agents the ability to take actions—from checking order status in Stripe to processing refunds with human oversight.
## Why Chatbase chose Claude for natural customer conversations
Chatbase built a comparison tool for customers to test different AI models side by side, revealing Claude's superior conversational abilities. Elsaid said, "Claude is more conversational and provides more details - it asks questions at the end, trying to see if the problem was solved. Other models are less warm, just straight to the point, not really conversing with the person."
After implementing Claude, customers consistently stick with it. Claude's natural tone and context understanding make it effective for customer support without requiring extensive customization.
## How Chatbase uses Claude to transform customer support
Chatbase built a platform that deploys AI agents across multiple communication channels to meet customers where they are. The solution spans B2C channels like Instagram, Messenger, and WhatsApp, and offers Slack integration for B2B customers. Elsaid highlighted how companies can customize the AI's personality and tone, saying, "A few people use their AI agent as their brand mascot to communicate with customers."
The platform goes beyond simple chat by integrating with business systems through APIs, enabling AI agents to take direct actions. Through integrations like Stripe, agents can handle tasks like checking invoices and processing refunds, with optional human oversight for sensitive operations. For e-commerce customers, they're expanding into Shopify integrations to help AI agents serve as shopping assistants, demonstrating the platform's adaptability to different business needs through simple instruction changes.
## Delivering measurable impact for support teams and customers
Chatbase has transformed customer support operations by combining AI automation with powerful analytics. The team discovered how AI could handle routine inquiries and surface valuable insights about customer sentiment and product feedback as their own first customer. "The AI can summarize exactly what customers want, what parts of the product they dislike, and how their sentiment changes over time," said Elsaid.
The platform helps support teams identify and address issues more efficiently. Managers can quickly spot trends, like multiple customers facing issues with a specific integration, and drill down into relevant tickets to understand root causes. This shift from manual review to AI-powered analysis helps teams focus on solving strategic problems instead of sifting through conversations. Beyond improving agent efficiency, the analytics help product teams identify improvement opportunities and executives make data-driven decisions about customer experience improvements.
## Reimagining customer service with AI
While AI continues to transform customer service, Chatbase recognizes that human connection remains essential. They're streamlining their human-in-the-loop approach to enable efficient oversight through simple one-click confirmations. They're developing more sophisticated ways to evaluate and optimize AI interactions through their collaboration with Anthropic. As Elsaid notes, "You need humans for the human aspect. Customers want to know there is a human on the other side they can reach if they need to." This balanced approach—combining AI capabilities with human insight—points toward a future where technology enhances rather than replaces meaningful customer relationships.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## chatplace-claude-platform-api-case-study-claude-by-anthropic-0f1e305c3e.md
# ChatPlace gives solo creators an AI marketing team with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Startup
Product:
Claude Platform
Location:
EMEA
15-20 hours saved per creator
per week across content and DMs
2x user growth
in the two months following the launch of Virale, its AI content agent
[ChatPlace](https://chatplace.io/) is an AI growth platform for content creators: bloggers, coaches, fitness trainers, beauty experts, and small business owners who run their businesses primarily from a phone. Its products analyze creators' Instagram accounts and run content production, audience communication, and lead conversion on autopilot for 100,000 monthly active users.
## With Claude, ChatPlace achieved:
- 2x user growth in the two months following its content agent launch, including reactivation of users who had churned due to content creation friction
- 15-20 hours saved per creator per week across content production and DM management
- 15-40% revenue increases for active users from consistent output and faster lead response
- Five separate tools consolidated into one conversation for content production and publication
- 3x faster internal engineering velocity with Claude Code across architecture, code generation, and debugging
## The challenge
### Beyond generic content creation
A creator running a solo business on Instagram has to produce expert content to build credibility, viral content to grow reach, engagement that turns the audience to customers, *and* deliver the actual product or service. "Doing all of that at a high level, alone, is simply not realistic," said Ilia Pankratov, CEO of ChatPlace. The team felt AI was failing creators in two specific ways.
The first failure was voice. ChatPlace's early experiments with other models produced responses that creators' audiences immediately read as robotic. Once that happened, the creator's trust with paying customers and followers eroded. The team found generic chatbot text was worse than no chatbot at all.
The second failure was access. The AI tools that could theoretically help required extensive prompt engineering, a skill most creators didn’t have time to develop. "Few people understand how to do this well," Pankratov noted, describing the coaches, nutritionists, and beauty bloggers ChatPlace serves.
Choosing the right Claude model
Learn when to use Haiku, Sonnet, or Opus to get better results and stay inside your rate limit. A practical guide to picking the right Claude model.
## The solution
## From five tools to a single chat thread
ChatPlace tested multiple model providers before settling on Claude Opus, Sonnet, and Haiku. The decision came down to three capabilities: conversational authenticity, multi-step workflow execution, and context across long sessions. In a blind comparison with early testers of the product, nine out of ten users preferred Claude's responses. Other models lost context mid-sequence in agentic workflows or degraded over long conversations. Claude held across all three.
"Our entire product is text: carousels, DM responses, Reels scripts,” said Pankratov. “The quality of that text is our value proposition. Claude models come at a premium, and we chose them anyway. When AI represents a creator to their paying customers, poor quality doesn't just reduce results, it destroys trust and kills retention."
The architecture is tiered. Claude Sonnet 4.6 powers the primary experience, Claude Haiku 4.5 is used heavily for sub-agent and intent-routing layers across the platform, and Claude Opus 4.7 runs the most complex reasoning tasks. The split keeps quality high where it matters most and cost manageable at scale.
On top of that architecture, ChatPlace built a system that handles the entire Instagram growth workflow. Virale, their content agent built with Claude Code, scans live Instagram data in the creator's niche, language, and country to find what's performing this week. The agent then runs the full production sequence in one conversation: niche research, script writing, cover image generation, chatbot creation, and publication to Instagram. The workflow used to require five separate tools and several hours; it now runs from a single chat thread.
Virale's memory accumulates real data from audience conversations, automation interactions, and content performance over time. A creator can ask "research my audience, what are their main pain points?" and receive a structured breakdown by audience segment, derived from actual subscriber interactions rather than templates. The longer the account is connected, the more precise the intelligence becomes.
The second product, AI Agent, handles Instagram DMs and comments in the creator's documented voice. It reads text, voice messages, images, videos, and forwarded content; qualifies leads against the creator's actual products and pricing; re-engages conversations that go quiet; books meetings in Google Calendar; passes lead data into CRMs; and processes payments. The full sales loop closes without the creator needing to be online.
ChatPlace also built an MCP connector that lets Claude act directly inside Instagram. A creator can ask Claude to research their audience, build an automation, or analyze content performance, and the actions execute on their live account.
Claude Code
Anthropic's agentic coding tool. Claude Code understands your codebase, edits files, runs commands, and helps you ship faster.
[Read more](/product/claude-code)
## The outcome
## Double the user base
User growth doubled after Virale launched, including reactivation of users who had previously churned because of content creation friction. Active creators report saving 15-20 hours per week across content production and DM management, with reported revenue increases of 15-40% attributed to consistent posting and faster lead response.
"It's like I finally hired a team, except it's just me and AI, and the AI already knows my business," one creator told the company. Creators got their evenings and weekends back, and their leads stopped going cold.
Internally, ChatPlace runs on the same AI it sells. Engineering velocity is roughly 3x faster, with Claude Code working across architecture, code generation, debugging, and documentation. The marketing team uses Virale to produce ChatPlace's content. Customer support runs on Claude connected to the live backend. "We built the tools, and we run on them ourselves," said Pankratov.
Next is video. The natural extension of the script-to-publication pipeline is generating short-form Reels from the same conversation that today produces a carousel post, completing the loop from idea to published video. ChatPlace is also working on knowledge retrieval architectures as the AI Agent scales across thousands of concurrent accounts and millions of conversations. "We're figuring out how to surface the most relevant context from large, multi-account databases without sacrificing response quality or speed," said Pankratov.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## chronograph-claude-enterprise-case-study-claude-by-anthropic-aef9199966.md
# Chronograph scales operations and accelerates decision-making with Claude
[Contact sales](/contact-sales)
Industry:
Financial services
Company size:
Medium
Product:
Claude Enterprise
Location:
North America
Week 2 productivity
for new hires vs. 2+ months previously
100% adoption
across 150+ employees with 80% daily active usage
[Chronograph](https://www.chronograph.pe) is a leading portfolio monitoring and analytics platform serving institutional private equity investors. The company supports more than \$4 trillion in client capital and serves a majority of the largest General Partners and Limited Partners globally.
With Claude, Chronograph:
- Achieves 100% employee adoption with 80% daily active usage across all 150+ team members
- Enables new hires to contribute in Week 2 versus 2+ months previously
- Replaces expensive vendor tools with custom AI-powered lead generation workflows
- Enables non-technical teams to build real-time dashboards and analyze data without engineering bottlenecks
- Launched Chronograph MCP server, enabling private equity clients to connect portfolio data directly to Claude
## The problem
Like many growing SaaS companies, Chronograph faced resource constraints: limited engineering capacity, competing product priorities, and critical business knowledge scattered across systems. The company accumulated valuable business data across systems like HubSpot, Notion, Linear, and internal databases, but teams couldn't efficiently access insights across these silos.
The 150-person team spent significant time on repetitive tasks—client research, document analysis, meeting preparation—that prevented focus on high-value strategic work. Customer success teams manually searched multiple systems before client calls. Sales representatives spent dozens of hours weekly on lead generation. Product and engineering teams relied on lengthy specification documents that slowed development cycles.
## Claude enables AI-first operations across the entire organization
Chronograph selected Claude Enterprise after evaluating alternative platforms. The team identified several key factors: Anthropic's commitment to AI safety aligned with strict security requirements for financial services, Claude's reliability for mission-critical applications, and the Model Context Protocol's ability to connect multiple business systems.
“Anthropic’s commitment to AI safety makes them the partner we want for long-term LLM implementation across our company and client use cases,” said Charlie Tafoya, Co-Founder and CEO at Chronograph. “Claude for Financial Services enables us to provide seamless, secure data exchange for our mutual clients within a trusted technology ecosystem.”
## Transforming collaboration through Projects, Artifacts, and MCP integrations
Chronograph implemented Claude Enterprise through a structured two-month rollout. The company achieved immediate productivity gains as teams began using Claude for email drafting, data analysis, and document review. During the first month, Chronograph established knowledge-sharing systems with searchable databases of successful prompts, Projects, and Artifacts. In the second month, the company launched "AI Salons" where colleagues demonstrate real-world applications, accelerating adoption across teams.
Claude Artifacts transformed Product-Engineering collaboration. "Product can now create working Claude Artifact prototypes that efficiently convey the key capabilities of new features to engineering, turning PRDs into prototypes at speed," said Michael Bridge, Co-Founder and CTO.
The Customer Success team now maintains proactive client management at scale by integrating internal notes, email context, CRM data, and product usage metadata through Claude's context windows. Within two weeks of starting, a junior Client Management team member successfully explained Chronograph's GraphQL API to a client by combining client context from HubSpot MCP, internal documentation from Notion MCP, and Claude's understanding of GraphQL.
Sales teams built custom workflows using Claude to monitor media sources and industry announcements for leads, saving dozens of hours weekly. "Integrating Claude and especially its MCP integrations into our workflows helps our sales reps save significant time on administrative tasks before and after meetings—giving us more time for building relationships and driving outcomes for our revenue pipeline," said Michael Santos, Global Head of Sales.
Non-technical teams now build real-time dashboards through Claude Artifacts and shared prompts that understand business systems and data relationships, eliminating Analytics team bottlenecks. Previously siloed systems—HubSpot, Notion, Gmail, Google Calendar—now work together through Claude's MCP integrations.
## Chronograph launches MCP for private equity investors
Building on its success using Claude Enterprise to scale operations, Chronograph has launched an MCP server that enables its clients to connect their private capital portfolio data managed on the company’s platforms directly to Claude.
[Chronograph’s MCP is available as a Claude direct connector](https://support.claude.com/en/articles/12662597-using-chronograph-for-portfolio-monitoring) in the Claude Partners Directory. Through Claude, private equity professionals can instantly analyze fund performance, underlying company metrics, and exposure analytics across their complete private investment portfolio.
“The private capital industry generates massive amounts of portfolio data, but traditional tools often create friction in accessing insights,” said Nicholas Lin, Head of Product for Financial Services, Anthropic. “By connecting Chronograph's comprehensive portfolio monitoring platform with Claude's interface, we're enabling institutional investors to unlock the full potential of their data—moving from data retrieval to strategic insight in seconds.”
## The outcome
Claude has become a core problem-solving tool at Chronograph through a combination of reasoning capabilities, Projects for collaboration, Artifacts for rapid prototyping, and MCP for seamless integration. The company now operates with speed and capabilities that previously would have required larger teams and budgets.
"Claude has changed what's possible for a company our size. I am especially pleased to see how Claude's capabilities have helped our junior employees ramp up and deliver impact beyond their traditional role boundaries," said Tafoya.
The AI-first operating model has become a competitive advantage in client pitches, enabling faster turnaround times and more responsive service. Chronograph handles more complex client needs and product development without traditional headcount scaling, improving unit economics as the company grows.
## Related stories
### How Qonto delegates financial admin for small businesses with Claude on Amazon Bedrock
### Pictet turns weeks of work into hours with Claude Code
### How Satispay's engineers write 75% of their code with Claude
### OffDeal powers every stage of M&A advisory with one Claude-based agent
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## circleback-claude-platform-api-case-study-claude-by-anthropic-fad6a02ff6.md
# Circleback transforms meetings into structured insights with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
Hours saved
daily through automated meeting insights
Shared source
of truth replacing siloed tools
Circleback helps teams generate more value from meetings by transforming conversations into structured, actionable insights that save hours and eliminate information silos.
With Claude, Circleback:
- Saves customers hours each day while providing peace of mind
- Enables companies to replace siloed tools with a shared source of truth
- Created an overall quality and ease of use recognized as a top pick by TIME
## Helping organizations keep critical context
Before founding Circleback, Kevin Jacyna and his co-founder, Ali Haghani, witnessed critical information not being captured as effectively as possible. "As a software engineer, I'd call someone who understood a problem, get the context I needed, but then lose critical details after we hung up. Meanwhile, critical information was constantly disappearing into Slack threads across the organization."
The challenge stemmed from teams creating disconnected meeting documents in isolation. This made it nearly impossible to connect related work or build on previous conversations. When AI models emerged, Kevin and Ali saw an opportunity to transform these scattered conversations into structured, actionable organizational knowledge.
## Choosing Claude for human-like writing and precise instruction following
Circleback tested multiple AI models and open-source alternatives before choosing Claude. The key differentiator for Claude was quality over efficiency. Jacyna said, "Claude's writing feels more human and is nicer to read."
The founders also noted that Claude offered large context windows and superior instruction following. According to the Circleback team, Claude's instruction following gave them the precision they needed for automated workflows. They found its context windows and consistent performance made it ideal for their core product functionality.
## Powering meeting intelligence across all touchpoints
Circleback integrates Claude Haiku 3.5 and Sonnet 4 throughout their platform to power comprehensive meeting intelligence. Their meeting processing pipelines transform conversations into clear, actionable outcomes, while agentic search capabilities help teams find specific information across their entire meeting history. The platform's custom automations identify feature requests, create Linear tasks, update CRMs, and route product feedback to the right teams. This functionality extends across all major meeting platforms, including Zoom, Google Meet, Slack huddles, and even in-person meetings captured via mobile apps.
## Transforming how organizations capture and use meeting insights
Circleback's platform has changed how customers approach meeting productivity and knowledge management. Customers report hours saved daily redirected to higher-impact work. "We're giving customers time back for high-leverage tasks, giving them peace of mind knowing that details from calls can be easily found and referenced," Jacyna explained.
Companies are deploying Circleback organization-wide, replacing specialized tools that create information silos. This adoption creates a shared source of truth that improves collaboration across departments.
## Building the future of organizational knowledge management
Circleback's long-term vision goes beyond individual meeting notes to organizational intelligence. As co-founder Ali Haghani explains, "What people say in conversations represents the most current reality of what's happening in an organization—it's more up-to-date than anything written in documentation." This philosophy drives their approach to making Circleback the default source of truth for organizations.
Jacyna said, "We're excited to continue building an insanely good experience for larger teams where content is categorized and surfaced to the right people, at the right time."
This is why Circleback values what they describe as Claude's nuanced understanding and reliable performance. Rather than building another AI tool that impresses initially but fails to deliver lasting value, Circleback focuses on perfecting details that make their platform useful. With Claude as their foundation, Circleback pushes toward a future where human conversation becomes a structured, searchable, and actionable organizational asset.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## circleci-claude-platform-api-case-study-claude-by-anthropic-559139fb65.md
# How CircleCI built a code validation agent with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Medium
Product:
Claude Platform
Location:
North America
90% of the engineering team uses Claude Code
with daily usage jumping 9x since structured adoption began
75% reduction in average test run time
when customers use CircleCI's Smarter Testing feature
Building agents with the Claude Agent SDK
The Claude Agent SDK is a collection of tools that helps developers build powerful agents on top of Claude Code.
[Read more](https://claude.com/blog/building-agents-with-the-claude-agent-sdk)
Introducing Claude Code
See Claude Code in action—from concept to commit in one seamless workflow.
[CircleCI](https://circleci.com/), whose CI/CD platform processes billions of jobs annually for teams at Okta, Hinge, and Hugging Face, set out to tackle the growing maintenance burden that slows engineering teams down. The result is CircleCI’s autonomous AI agent [Chunk](https://circleci.com/product/chunk/), built with Claude, which identifies and resolves CI/CD-related maintenance issues with minimal human intervention.
## With Claude, CircleCI achieved:
- 75% reduction in average test run time when customers use CircleCI's Smarter Testing feature
- 90% of the engineering team on Claude Code, with daily usage jumping 9x since structured adoption began
- 90%+ prompt cache efficiency in production, meaning context is reused rather than reprocessed across workflows.
- Multi-quarter internal projects completed in weeks, including an AI-powered PR review system.
- More than 4 in 5 agent tasks now triggered automatically at the point of failure, with the rate of tasks converted into completed pull requests more than doubling since launch
## The challenge: Maintenance backlogs that slow teams
CircleCI's customers are engineering teams where delivery speed directly determines competitive outcomes. Those teams face a persistent tension: test optimization, build fixes, and pipeline improvements all pile up in backlogs while everyone focuses on shipping new features. Technical debt compounds, and the velocity teams are trying to protect gradually erodes.
CircleCI sees this problem intensifying as AI tools accelerate code output across the industry, generating code faster than teams can maintain it. The company needed to solve this internally before they could credibly help their customers solve it too. The goal: build an autonomous agent that could pick up routine maintenance and validate its own fixes before a human ever sees them.
## A decision driven by developer experience
CircleCI's work with Claude started broadly. The company encouraged teams across engineering, operations, and go-to-market to experiment for prototyping, iteration, and analysis. "We encouraged teams to use AI to reimagine the art of what's possible," said JP Leblanc, SVP Engineering. "By providing a single, robust platform for AI exploration, we saw adoption numbers soar."
When the team selected Claude to power Chunk, the deciding factor was the Claude Agent SDK's developer experience: a clean, well-documented interface that made it fast to build. MCP integration meant connecting to existing development tools without coordination overhead. The team found Claude's security posture met their enterprise requirements and rated it the strongest general-purpose model available.
## A closed loop from task to validated pull request
CircleCI’s agent Chunk operates as a closed loop: a natural language task goes in, a validated pull request comes out. Because customers have already described their build environment in their CI configuration, Chunk can spin up those environments as sandboxes with confidence because Claude has access to the right dependencies and tools. For build failures, Claude receives logs as context. For tests, it gets results from previous runs. Claude generates a fix, and CircleCI pipelines validate it. If the pipeline fails, Claude reattempts. The customer receives a PR that is already "green," with the CI pipeline serving as attestation that the change meets testing, linting, and static analysis standards.
"We could not have built Chunk without the Claude Agent SDK," explained Michael Webster, Principal Engineer at CircleCI. "If we had tried to do this three years ago, the amount of work to support all the language variations, framework integrations, and toolchain connections would have been prohibitive. Now we can build really powerful tools very quickly without all the traditional coordination overhead and custom integration work."
A team of 8 engineers built Chunk, moving from working prototypes in days to production-ready capabilities in weeks. Tasks can trigger automatically (periodic runs to fix flaky tests), be user-initiated (fixing a failed build), or come as ad-hoc prompts through Chunk's chat interface. Predictive test selection, which CircleCI calls Smarter Testing, runs only what is new or impacted. This cut time-to-feedback by an average of 75% and up to 97%.
Beyond Chunk, Claude Code has become the daily driver for CircleCI's engineering team, with 90% of engineers engaged. Daily usage has jumped 9x since adoption. One team built an AI-powered PR review system that scans for code issues, analyzes downstream SQL dependencies, flags query optimizations, and generates impact summaries. It deployed in weeks rather than the multiple quarters it would previously have required.
## The results
More than 4 in 5 Chunk tasks now trigger automatically at the point of failure, without a human needing to step in. The rate at which Chunk converts tasks into completed pull requests has more than doubled since launch, meaning Chunk is getting better at knowing when it has enough confidence to propose a fix. For one large enterprise customer, analysis time dropped from 14 hours to 18 minutes. A team that previously waited until the following morning to know whether a change was safe now gets that answer in minutes.
CircleCI's roadmap builds on Claude's advancing reasoning capabilities: automated test management, build optimization, and predictive maintenance that anticipates issues before they affect workflows. As code output accelerates, autonomous validation is what keeps the system from falling behind.
"Claude allowed us to bring Chunk to market faster than we would have otherwise," said Webster. "We've put autonomous maintenance, test optimization, and continuous improvement within reach of every developer by giving them an agent that picks up these tasks automatically. Issues that would sit in backlogs for months are now resolved automatically, and customers can stay in flow and focus on innovation rather than dealing with toil."
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## classdojo-claude-platform-api-case-study-claude-by-anthropic-dd11dde529.md
# ClassDojo saves teachers time with Claude
[Try Claude](https://claude.ai)
Industry:
Education
Company size:
Small
Product:
Claude Platform
Location:
North America
45 million users
kids, families, and teachers in 180 countries
90% of US schools
elementary teachers save hours weekly
ClassDojo transforms education by using Claude to power AI teaching assistants that help teachers focus on what matters most: teaching children.
**With Claude, ClassDojo:**
- Reaches 45 million kids, families, and teachers in 180 countries
- Helps teachers in 90% of US elementary schools save hours each week on instructional content, behavior management, and administrative work
- Enables class roster setup in seconds instead of 20-30 minutes
- Processes entire school directories instantly, matching and updating existing records
## Combating classroom exhaustion
Every day, teachers face an avalanche of administrative tasks that keep them from doing what they love—teaching children. Brendan Kereiakes, Product Lead for Core, Growth & Teacher AI at ClassDojo, says, "We talk to teachers every day and one thing is clear—they're overwhelmed and under-supported. When we examined where their time was going, we identified the major time-consuming activities: lesson planning, developing behavior interventions, and writing communications both internally and to parents. Many teachers report spending half their time on paperwork instead of instruction, leading to twelve-hour workdays and burnout."
ClassDojo was well suited to address these challenges with its fundamentally different approach. Tom Pryor, Head of Product at ClassDojo, says, "Unlike most education companies, we started small—one teacher and classroom at a time. Instead of going top-down to school districts, we built a simple, helpful communication app that teachers, kids and families could start using right away." This grassroots growth gave them a deep understanding of classroom needs and built trust with millions of users—essential for introducing AI responsibly.
## Why Claude stood out for the classroom
After evaluating multiple AI models, ClassDojo selected Claude for three critical factors that set it apart for educational applications—tone, accuracy, and safety.
Brendan explained, "Many AI models struggle with humor, emotion, and conversation. Claude consistently produced responses that felt warm, thoughtful, and aligned with the way teachers and families naturally communicate. This was particularly important since teachers aren't professional prompt engineers—they need tools that work intuitively.”
Another decisive factor was educational accuracy. Tom shared, "We really prioritized consistency and accuracy. We can’t have hallucinations and factually wrong output—especially in areas like math, where precision is non-negotiable. Claude generated materials that aligned with teaching standards and created accurate assessments that teachers could actually use."
Brendan added that safety considerations were paramount, given ClassDojo's responsibility to protect children's data and maintain trust. "Claude handles inappropriate prompts gracefully, maintaining context better, and staying within age-appropriate guardrails without constant supervision."
## How Claude powers the classroom experience
ClassDojo uses Claude across several key products to simplify teachers' lives and improve education.
**Sidekick**: Every teacher gets an AI teaching assistant powered by Claude that helps with lesson planning, creating activities, and developing interventions for individual students—instantly eliminating hours of administrative work.A powerful example: Teachers can now snap a photo of their class roster—or even their entire school directory—instead of manually entering student information. Claude-powered AI makes sense of different data structures and processes the content instantly. This transforms what used to take 20-30 minutes into seconds.
**Dojo Tutor**: Claude helps tutors prepare by analyzing previous sessions and creating custom lesson plans. It also generates highlight reels from tutoring sessions so families can see their children's progress.
**Safety and Identity Verification**: Claude powers conversational verification flows that ensure only authorized users can access school spaces, improving security while creating a more natural user experience.
**Future Innovations**: ClassDojo is expanding their AI offerings with initiatives like Dojo Sparks (an AI reading tutor), Enhanced Dojo Tutor (with hybrid AI-human tutoring capabilities), and Diagnostic Helper (for personalized academic assessment).
## Transforming education for teachers, students, and families
The impact of Claude-powered features extends across the entire educational ecosystem. AI now serves as an essential assistant. "It's like having a colleague who's always available, works tirelessly to help me, and never judges my questions," reports one teacher. Another explains, "When I'm having one of those overwhelming days where I’m completely stretched, Claude helps me articulate my thoughts in professional 'teacher' language."
School leaders also benefit from streamlined administrative processes. Tasks that previously consumed hours now take seconds, reducing both time investment and stress. The photo-based roster import feature exemplifies this transformation—ClassDojo has seen teachers create a half-dozen full classes in under two minutes. Teachers find this both delightful and efficient.
Families gain better tools to support their children's education. Tom explains, "For parents, Claude helps them stay connected to and monitor their child's education. Homework Helper breaks concepts down in a way that empowers parents to support learning without doing the work for their child." Parents notice the difference, with one noting the video highlights feature in Dojo Tutor, "I love seeing their interactions because when I'm present, my child often hesitates before responding to the tutor. This feature gives me insight into their sessions without having to be there."
## Building AI for the future of education
ClassDojo envisions an educational future where AI closes opportunity gaps and makes high-quality learning accessible to all. Brendan shared, "We're building an ecosystem of AI-powered experiences for kids, families, and teachers. These products will be smarter, more helpful, and more joyful because AI is at their core."
ClassDojo also sees Claude helping break down language barriers—a critical need when one in five US families don't speak English at home—with real-time translation and resources in families' native languages.
"These AI tools fundamentally change how we approach personalized learning," says Tom. "We can now provide truly adaptive experiences that respond to a child's unique needs, while also giving teachers back the time they need to focus on building relationships."
Through their work with Anthropic, ClassDojo is working to fulfill their mission, "to give every child on Earth an education they love." By combining Claude's intelligence with their deep understanding of classroom needs, they're creating AI tools that free teachers to teach, engage students more effectively, and strengthen the crucial connection between school and home.
## Related stories
### MagicSchool on building a safety layer for millions of student conversations
### How Syracuse University deployed Claude to every student, faculty member, and staff
### Why Syracuse University gave Claude to 30,000 students, faculty, and staff
### RileyBot creates safe AI learning experiences for students with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## classmethod-claude-code-case-study-claude-by-anthropic-66612a7f2b.md
# Classmethod accelerates development velocity with Claude Code
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Large
Product:
Claude Code
Location:
Asia Pacific
80% decrease
in time spent reviewing code
96% reduction
in Google Apps Script task processing time, from 24 hours to 1 hour
Japanese cloud integrator Classmethod empowers engineering teams to overcome chronic labor shortages by achieving up to 10x productivity gains through AI-driven development with Claude Code.
With Claude Code, Classmethod achieved:
- Reduced development time for specific coding tasks by up to 90%
- Up to 80% decrease in time spent reviewing code
- 96% reduction in Google Apps Script task processing time, from 24 hours to 1 hour
- Increase in code contributions shipped to production (108 merged pull requests in January to 165 in May-June), enabling the team to deliver features and fixes faster
## Efficient utilization of limited engineering resources
Japan's technology sector is navigating an evolving landscape where demand for skilled engineering talent continues to grow. Development teams are exploring innovative approaches to optimize their workflows and meet expanding business needs. At Classmethod, the team recognized an opportunity to enhance how engineers allocate their time, enabling them to focus more on strategic and creative initiatives alongside their core development work.
"Engineers were unable to dedicate sufficient time to the tasks they should be focusing on." The gap between available developer hours and project requirements continued to widen, threatening their ability to deliver on client expectations while maintaining code quality.
## Selecting Claude Code for superior code generation
After evaluating multiple AI agentic coding solutions, Classmethod chose Claude Code because "the quality of the generated code was significantly superior to that of other products." During an initial pilot, Claude Code demonstrated exceptional accuracy and faithfulness to instructions, generating practical code optimized for their specific technology stack.
The tool's design as a command-line interface meant virtually zero learning curve for developers already comfortable with terminal workflows. "It has a low learning curve as a CLI tool," they said, noting seamless integration with existing development environments.
## Transforming the Development Lifecycle Across Various Projects
Classmethod integrated Claude Code across their coding workflows, from initial implementation to final review.
The tool generates entire logic blocks from detailed designs, helps developers understand existing codebases 90% faster, and creates comprehensive test suites. "Claude Code handles GitHub ISSUES-based implementation and test descriptions," they said, supporting their full technology stack including Ruby on Rails, Next.js, and Terraform.
Their innovation extends beyond traditional coding. Mandatory AI-powered self-reviews before pull requests are being gradually implemented in several projects, with Claude Code detecting security risks and violations of DRY and YAGNI principles—catching redundant code and unnecessary complexity before they reach production. The /*ex*pla*in-pr* and */review-pr* commands provide instant context and feedback, elevating code quality across the organization.
## Achieving multi-service development with small teams
The transformation at Classmethod goes beyond raw productivity metrics.
"Parallelization of thinking enables simultaneous progress on multiple projects," they share, achieving development structures previously impossible with their team size. Engineers now handle multiple services concurrently, maintaining focus while managing numerous tasks.
When Classmethod developed "rulesync," an open-source project for their development workflows, 99% of the codebase was implemented using Claude Code. Long-standing backlog items like rich admin dashboards, Grafana MCP chat applications, and dark mode implementations finally became reality.
Google Apps Script automation particularly showcases their dramatic efficiency gains. Tasks that previously consumed 24 hours are now completed in just one hour. "The implementation accuracy is particularly excellent in GAS," they note, highlighting how Claude Code excels at understanding and generating code across frameworks and environments.
## Pioneering the future of Japan's AI-driven development
Claude Code has enabled Classmethod to drive productivity gains internally and for their clients. In the future, they intend to expand their use cases, including development-adjacent tasks like library updates and detailed design generation, while exploring sub-agents functionality for even greater automation.
They plan to include infrastructure integration for automatic Cloud Run Functions upgrades in technical expansion, alongside improved UI implementation that adheres to design systems. They're also working to extend these capabilities beyond their own engineering team, democratizing access to AI-powered development tools among their clients.
By sharing AI-driven development know-how and deployment strategies, they're positioning themselves to help other Japanese companies navigate the transition to AI-augmented engineering.
Their vision is clear: transform how software gets built in Japan, enabling small teams to match the productivity of much larger organizations with Claude Code.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## claude-enterprise-plan-claude-by-anthropic-c911ff49df.md
# Claude enterprise solutions
The frontier, on every desk
Put Claude to work across your organization. Help everyone think deeper, do more, and build securely.
Get Enterprise plan
[Get Enterprise plan](http://claude.ai/create/enterprise)
Get Enterprise plan
Build on Claude Platform
[Build on Claude Platform](/platform/api)
Build on Claude Platform
## Trusted by the world’s leading organizations
“Slack’s close collaboration with Anthropic has helped our Engineering and Product teams accelerate prototyping and model testing.”
97minutes per week saved by the average user through summarization and recap features
Industry:Software
Company size:Large
Product:Claude Platform
Location:North America
“With this partnership, Allianz is taking a decisive step to address critical AI challenges in insurance. Anthropic's focus on safety and transparency complements our strong dedication to customer excellence and stakeholder trust.”
90%week-over-week growth company-wide deployment, with rapid global adoption
Industry:Insurance
Company size:Large
Product:Claude Platform
Location:EMEA
“Through using Claude, we’ve saved millions, which we have reinvested in *upskilling* our customer support agents. We’ve empowered our agents to focus on those more complex issues that really require human care.”
87%reduction in customer support time
30%more accurate teams making sharper calls
Industry:Transportation
Company size:Large
Product:Claude Platform
Location:North America
“As AI becomes the interface for decisions, trust becomes the standard. Moody’s decision-grade connected intelligence is key to unlocking AI for high‑stakes credit and compliance decision‑making.”
1200%credit memo prep time cut from 40 hours to 2 minutes with Claude-built agents
Industry:Financial services
Company size:Large
Product:Claude Platform
Location:North America
“We saw 12 hours of prototyping work collapse into about 20 minutes. Then your whole team can jump in and refine it together.”
30+concurrent agent tasks from a single task board
97%reduction in prototyping time
Industry:Software
Company size:Large
Product:Claude Managed Agents
Location:North America
“In a highly regulated industry, we can't just throw our data and information into a large language model and hope for the best. Our conversations with Anthropic really guided in the ways we can securely use Claude for planning, for strategic tasks, for code generation.”
1000xclinical study documentation down from 10 weeks to 10 minutes
Industry:Life sciences
Company size:Large
Product:Claude Code
Location:Europe
## Built for enterprise
### Built on the best models
Claude leads on reasoning, coding, and analysis benchmarks. The same frontier models power every surface, from business apps to developer tools.
### No model training by default
Your prompts, data, and results are not used to train our models by default. Review our data practices at the Trust Center.
### Flexible by design
Pick the products and platform that are right for your teams, whether you’re collaborating with Claude at work or building your own products and offerings.
### Made to pass security review
The security, compliance, and admin controls your organization needs.
Learn more
[Learn more](https://trust.anthropic.com/)
Learn more
\*Data retention controls and OTEL monitoring are currently available on Claude Enterprise only.
Single sign-on (SSO/SAML) and domain capture
SOC 2, ISO 27001, GDPR, and CCPA compliance
Usage analytics and reporting
SCIM provisioning
Spend controls
Data retention controls\*
Compliance API
HIPAA-ready offering
Audit logs and OpenTelemetry monitoring\*
Role-based access control (RBAC)
## Bring Claude to your enterprise two ways
Deploy Claude to your workforce or build it into your products.
### Claude Enterprise
Give every employee secure access to Chat, Claude Cowork, Claude Code, and your company's connectors. Get the admin controls, management, and visibility your IT and security teams need.
See plans
[See plans](#pricing)
See plans
### Claude Platform
Access the Claude API to power new experiences, ship production-grade agents, and integrate Claude into the workflows and applications you're building.
Explore the platform
[Explore the platform](/platform/api)
Explore the platform
Results with Claude Code
90%
less time spent on complex code migrations
## Secure products for employees, everywhere your teams work
Claude Code
Claude Cowork
Claude Chat
Claude Security
Active
[Play video](#)
Play video
### Code faster across your enterprise stack
Build, debug, and ship using natural language from your terminal, IDE, Slack, or the web. Claude Code works wherever your team does.
Learn more
[Learn more](/product/claude-code/enterprise)
Learn more
[Play video](#)
Play video
### Delegate tasks to Claude with Cowork
Connect your files and tools, then hand off research, documents, and repetitive work. Get polished deliverables back while you focus on the work that needs your judgment.
Learn more
[Learn more](/product/cowork)
Learn more
[Play video](#)
Play video
### Chat: A thinking partner for everyday work
Chat with Claude to develop ideas, draft content, tighten reports, work through hard problems, and more.
Learn more
[Learn more](/product/overview)
Learn more
[Play video](#)
Play video
### Find and fix vulnerabilities with Claude Security
Claude helps security teams and developers by reviewing code for security issues, drafts patches, and explains the risk in language your whole team can act on.
Learn more
[Learn more](/product/claude-security)
Learn more
Tailor Claude to your business
Connect to Gmail, Google Drive, Slack and more to give Claude context from across your stack. Use Claude directly inside Microsoft 365 or with Google Chrome.
Learn more
[Learn more](/connectors)
Learn more
## Real work, across every function
Engineering
Marketing
Sales
Product Management
Human Resources
Security
Active
Prompt
Audit our use of the deprecated legacy-auth library across the monorepo. Generate a migration plan to move all 47 services to auth-v2, prioritized by risk and ordered by dependencies.
✻ Migration plan: legacy-auth → auth-v2
Audited 47 services, 312 call sites, 8 distinct usage patterns.
Recommended order
Phase 1 — Low risk (weeks 1–2, 12 services)
Internal admin tools with no external dependencies. Safe to validate the auth-v2 codemod and surface unknown patterns.
Phase 2 — Leaf services (weeks 3–5, 18 services)
No downstream consumers in the dependency graph. Failures stay contained; single staged rollout per service.
Phase 3 — Core services (weeks 6–9, 17 services)
Auth-critical paths with downstream impact. Requires feature flags, shadow traffic comparison, and per-team rollback plans.
Risk callouts
payments-api — blocker
Uses undocumented legacy-auth.signWithRotation() not present in auth-v2. Needs design discussion before migration.
mobile-bff — needs review
Integration tests pinned to legacy-auth response format. Token envelope changed (token.claims → token.payload); 23 fixtures to update.
identity-gateway — coordinated cutover
Sits in front of 31 of 47 services. Recommend cutover at the Phase 2 → 3 boundary with a 48-hour dual-write window.
Suggested next steps
1\. Open an RFC for the signWithRotation equivalent in auth-v2.
2. Run the codemod against Phase 1 services, one PR per service.
3. Add a CI check that fails on new legacy-auth imports in week 2.
4. Schedule identity-gateway cutover with platform for week 5.
### Engineering
- Convert project requirements into technical specifications
- Design system architecture and component interactions
- Troubleshoot errors and runtime issues
- Identify code optimizations and performance improvements
Claude Code for Enterprise
[Claude Code for Enterprise](/product/claude-code/enterprise)
Claude Code for Enterprise
Prompt
Build a Q1 channel performance review. Pull spend and conversions from HubSpot and paid social metrics from our LinkedIn dashboards. Show ROAS by channel over the last six months and flag the channels where performance is declining.
Attachments
HubSpot_Q1_export
24 kb
CSV
8 kb
CSV
Q1 channel performance review
ROAS by channel — last 6 months
Email Organic Direct Paid social
↓ Paid social ROAS dropped 38% after Feb iOS update
↑ Email overperforming after segmentation refresh in March
→ Organic steady at 3.4x, direct holding around 2.9x
### Marketing
- Interpret market trends and consumer behavior patterns
- Brainstorm multi-platform content items
- Develop marketing campaign strategies
- Create post campaign performance reports
Prompt
I have a renewal call with Acme Corp's VP of Operations on Thursday. Pull the account picture from HubSpot, open work in Asana, and any mentions in \#acme-account on Slack. Produce a brief covering relationship status, open risks, expansion signals, and three talking points for the call. Send to me in Slack.
Connectors
Hubspot
Slack
Asana
Search
Camilla Lee
Messages
Jot something down
*Acme Corp – Thursday renewal prep*
📇 *Account:* Sarah Chen, VP Ops · Renewal Jun 30 · ARR \$148k · 240 seats (Team)
🤝 *Relationship:* Healthy, Y2 renewal · CSM Jordan Park · NPS 8 in April · Mar 18 QBR went well
⚠️ *Risks:* P1 SSO ticket open since Apr 29 (eng ETA slipped 2x) · Finance asked for ROI one-pager (Asana ACME-184, Wed) · Lattice ran discovery w/ ops leads last week
📈 *Expansion:* Adoption +42% MoM · Legal, Procurement, RevOps onboarded · Enterprise tier discussed in March · automation seat add-on ~\$22k upside
🎯 *Three talking points*
1. Open with the SSO ticket — bring new ETA + offer a credit if it slips again
2. Frame +42% adoption and 3 new departments as Enterprise-level value
3. Pre-empt Lattice with the Procurement cycle-time win, then tee up the automation add-on
Sent using @Claude
### Sales
- Analyze sales calls to craft tailored account plans
- Develop objection handling strategies
- Build compelling and tailored pitches
- Interpret sales metrics and KPIs
Prompt
Score the candidate features for our Q3 roadmap. Pull usage data from Amplitude, recent product feedback from \#product-feedback in Slack, and engineering effort estimates from Linear. Score each feature on reach, impact, and effort. Rank them and flag the top three to discuss in roadmap planning Thursday.
Connectors
Amplitude
Slack
Linear
X
Q3 Prioritization.xlsx
### Product Management
- Define product vision and objectives
- Analyze user feedback and usage data
- Create product specifications and requirements documents
- Interpret product usage metrics and KPIs
Prompt
Build a 30-60-90 day onboarding plan for our new Senior Product Designer starting Monday. Pull from the role's job description, the design team's Notion handbook, recent Figma files the team has shipped. Include who they should meet in week one, what to read, what to ship by day 30, and goals for days 60 and 90.
Connectors
Figma
Notion
#### Onboarding plan: Maya Chen, Senior Product Designer
*Start date: Monday, May 18
Manager: Priya Shah*
**Week 1 — Get oriented**
###### **People to meet (15 min each)**
- Priya Shah (managetr) — already on calendar, Monday 10am
- Jordan Lee (design lead, peer) — book Tuesday
- Sam Patel (PM partner for the checkout team)
- Two engineers from the checkout team: Ana Torres, Ben Wu
###### **Read first**
- Design system docs (Notion: /Design/System)
- Last quarter's research readouts (Notion: /Research/Q1)
- Checkout team's most recent Figma file (Onboarding-redesign-v2)
###### **Days 1–30 — Land**
- Ship one small UI fix end-to-end to learn the workflow
- Attend three user research sessions
- Present a teardown of one competitor's checkout in week 4 design crit
###### **Days 31–60 — Contribute**
- Own one in-flight project (likely the cart abandonment redesign)
- First design review on owned work by day 60
###### **Days 61–90 — Lead**
- Drive the next quarter's roadmap discussion for the checkout team
- Goal: ship one feature you scoped end-to-end
### Human Resources
- Summarize candidate feedback into hiring recommendations
- Create performance review templates and calibration summaries
- Develop learning and development programs
- Interpret headcount and workforce planning metrics
Prompt
Scan our webhook service for security vulnerabilities
● Scanning 247 files across app/, services/, routes/...
● Analyzing auth flows, input validation, file handling...
● Filtering by severity ≥ high...
● Found 4 findings in acme-corp/hookrelay
CRITICAL Shell command injection via webhook payload
app/services/notifiers/script_runner.py:21 · Command injection
CRITICAL JWT authentication bypass via "none" algorithm
app/auth/jwt_handler.py:28 · Auth bypass
CRITICAL Path traversal in export file download endpoint
app/routes/exports.py:39 · Path traversal
HIGH Server-side request forgery in destination URL validation
app/services/validator.py:36 · SSRF
✓ 12 lower-severity findings filtered out
### Security
- Triage alerts and prioritize real threats
- Investigate incidents and trace attack paths
- Correlate signals across logs and tools
- Draft incident reports and post-mortems
- Build detection rules and tune existing ones
## Get the Enterprise plan
Explore features
[Explore features](/pricing#team-enterprise-features)
Explore features
### Enterprise
Get started today. Includes Enterprise security and compliance, chat, Claude Code, Cowork, connectors, SSO, SCIM, audit logs, and more.
\$20
Per seat / month, billed annually.
Usage is billed as you go at API rates, based on what your team uses. Annual commitment required. Minimum 20 seats.
Get the Enterprise plan
[Get the Enterprise plan](http://claude.ai/create/enterprise)
Get the Enterprise plan
Chat with buying specialist
[Chat with buying specialist](https://claude.ai/buying-specialist)
Chat with buying specialist
[Usage limits](https://support.anthropic.com/en/articles/9797557-usage-limit-best-practices) apply. Prices shown don’t include applicable tax. Price and plans are subject to change at Anthropic's discretion.
[Usage limits](https://support.anthropic.com/en/articles/9797557-usage-limit-best-practices) apply. Price and plans are subject to change at Anthropic's discretion.
## Build on the Claude Platform
Give developers access to the API to build AI-enabled products, services, and agents.
View documentation
[View documentation](https://platform.claude.com/docs)
View documentation
### Primitives
Building blocks to integrate Claude, including the Messages API and tools, with full control over every layer.
Learn more
[Learn more](https://platform.claude.com/docs)
Learn more
### Harnesses and infrastructure
Everything you need to ship production-grade agents, including Claude Managed Agents.
Learn more
[Learn more](https://claude.com/blog/claude-managed-agents)
Learn more
### Operating system
Controls to deploy and manage agents across your organization, including authorization, governance, and observability.
Learn more
[Learn more](https://platform.claude.com/)
Learn more
Customer story
Canva empowers employees across teams with Claude
Read story
[Read story](https://claude.com/customers/canva)
Read story
Customer story
GitLab enhances productivity with Claude
Read story
[Read story](https://claude.com/customers/gitlab-enterprise)
Read story
[Prev](#)
Prev
Code modernization
Modernize legacy code without starting over. Claude Code handles large-scale refactoring while keeping your existing business logic intact.
Learn more
[Learn more](https://claude.com/solutions/code-modernization)
Learn more
### Build on your own
Launch your own generative AI-enabled products with:
- Access to all Claude models
- Usage-based tiers
- Automatically increasing rate limits
- Pay-as-you-go pricing
- Self-serve deployment on workbench
- [Prompting guides and developer docs](https://docs.anthropic.com/claude/reference/getting-started-with-the-api)
Start building
[Start building](/platform/api)
Start building
### Get extra support
Need custom rate limits or hands-on help? Contact our sales team for:
- Anthropic-supported onboarding
- Custom rate limits
- Billing via monthly invoices
- Prompting support
- Deployment support
[Contact sales](/contact-sales)
## FAQ
Security and compliance
Products and capabilities
Getting started
Active
### Security and compliance
### Does Anthropic train on our data?
No. Your inputs and outputs are not used to train our models by default. Review our data practices at the [Trust Center](https://trust.anthropic.com/).
### What security and compliance controls does Claude Enterprise include?
Enterprise is built for organizations with real compliance obligations:
- **Identity and access** — SSO and domain capture, SCIM and JIT provisioning, and role-based access control. Admins define groups, roles, and capabilities to govern exactly which people can use which products and connectors.
- **Visibility and logging** — audit logs, a Compliance API for programmatic access to activity logs, chats, files, and projects, OpenTelemetry, and an Analytics API for aggregated adoption and engagement data. Both feed the DLP, SIEM, and monitoring tools your security team already runs.
- **Data controls** — custom data retention, customer-managed encryption keys, and US-only inference.
- **Network controls** — IP allowlisting and network-level access control, which prevents access to personal or non-corporate Claude instances from enterprise networks.
- **Connector governance** — admins approve which connectors are available org-wide and set per-tool permissions. Connectors respect the permissions users already have in the underlying systems.
### Do you support HIPAA? Can we get a BAA?
Yes, for both the Claude Platform and Claude Enterprise. Claude Platform: Healthcare customers can sign a BAA with no Zero Data Retention requirement. The HIPAA-ready feature set in the Messages API includes prompt caching, web search, and structured outputs, with coverage expanding over time. Claude Enterprise: HIPAA-ready configuration is available with a BAA from Anthropic. Once enabled, your organization can process Protected Health Information (PHI) through Claude in accordance with HIPAA.
[Prev](#)
Prev
### Products and capabilities
### What is the Claude Enterprise plan?
Claude Enterprise is Anthropic's complete offering for organizations deploying Claude at scale. One seat gives every employee the full suite: Chat for everyday thinking work, Claude Code for engineering, Claude Cowork for delegating multi-step knowledge work, Claude Design for turning a prompt into polished visuals, and Claude in the tools your teams already use including Microsoft 365, Chrome, and Slack.
Underneath all of it sits one identity, one policy, and one set of admin controls. Connectors bring in your organization's data, skills encode how your teams actually work, and enterprise-grade security, governance, and analytics give IT and security teams the visibility they need. Please reference [pricing](https://claude.com/pricing#team-&-enterprise) for a full feature breakdown.
### What’s included in the Enterprise plan?
The Claude Enterprise plan supports deep, cross-functional workflows and provides one seat for every surface:
**One seat, every surface**
- **Chat** — a thinking partner for everyday work, on web, desktop, and mobile
- **Claude Code** — agentic coding in the terminal, IDE, Slack, and on the web
- **Claude Cowork** — delegate your tasks such as research, analysis, and documents; get finished deliverables back
- **Claude Design** — go from prompt to polished visuals, prototypes, and slides
- **Claude for Microsoft 365** — Work with Claude in Excel, PowerPoint, Word, and Outlook
- **Claude in Chrome** — Claude navigates, clicks, and fills out forms across your tabs
**Context from your organization**
- Pre-built connectors, plus custom connectors via MCP for internal systems
- Skills that capture your templates, standards, and workflows so every team runs them the same way
- Memory across conversations, so Claude carries context forward
**Security, governance, and administration**
- Single sign-on (SSO), domain capture, SCIM and JIT provisioning
- Role-based access control for fine-grained user, feature, and spend management
- Audit logs, Compliance API, and Analytics API
- Custom data retention, customer-managed encryption keys, IP allowlisting, network-level access control
### What's the difference between Chat, Claude Code, and Claude Cowork?
Chat is meant for research, brainstorming, writing, and analysis. Claude Code is for software development from your terminal, desktop app, or the web. Claude Cowork is for delegating complex tasks that run in the background. All three are included in every Enterprise plan and entitlements are managed with role-based access controls from organization settings.
### Can we connect Claude to the tools we already use?
Yes. Connectors bring context from Google Drive, Gmail, Slack, Microsoft 365 and many more into Claude. You can also use Claude directly inside Excel, PowerPoint, Outlook, Slack, and Chrome. See the [Enterprise administrator guide](https://claude.com/resources/tutorials/claude-enterprise-administrator-guide) for setup.
### What is Claude for Work?
Claude for Work was the earlier name for our business plans — what are now the Team and Enterprise plans. The name has been retired, but the plans still exist: Team for collaboration across smaller organizations, and Enterprise for organizations operating at scale that need advanced security, compliance, and administrative controls.
[Prev](#)
Prev
### Getting started
### Can we buy Claude through AWS Marketplace, Google Cloud, or Azure?
Claude Enterprise is available directly from Anthropic and through AWS Marketplace, where it can draw down from your existing AWS commit. Claude Platform (the API) is also available on Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Azure.
### Do you support invoice billing on Claude Enterprise?
Yes. Sales-assisted Claude Enterprise plans include invoice billing. Self-serve Enterprise plans accept credit card or ACH bank transfer.
### How can I integrate Claude into my own products or services?
If you're a developer building user-facing experiences or new products with Claude, the Claude Platform is the right starting point. It gives you direct access to our models, the Claude Agent SDK, and the building blocks for production agents.
[Explore the developer docs](https://docs.claude.com/en/home) to get started, or [contact our Sales team](https://claude.com/contact-sales) to talk through platform plans and volume commitments.
### Where do I get an API key for Claude Platform and how does billing work?
Create an API key in the [Claude Console](http://platform.claude.com/settings/keys). For production workloads, you can use [Workload Identity Federation](https://platform.claude.com/docs/en/manage-claude/workload-identity-federation) to exchange your cloud provider's identity for short-lived tokens instead of managing static keys. Self-serve accounts are prepaid: add a payment method, purchase credits, and optionally enable auto-reload. Credits cover API usage, the Workbench, and Claude Code (when authenticated with an API key). Enterprise customers can use monthly invoicing instead, [contact sales](https://claude.com/contact-sales) to set this up.
[Prev](#)
Prev
## Enterprise resources
Everything you need to integrate AI thoughtfully
into your organization.
[Claude Enterprise administrator guide](https://claude.com/resources/tutorials/claude-enterprise-administrator-guide)
Claude Enterprise administrator guide
Claude Enterprise administrator guide
Tutorial
[Tutorial](https://claude.com/resources/tutorials/claude-enterprise-administrator-guide)
Tutorial
[Claude Academy](https://academy.claude.com/)
Claude Academy
Claude Academy
Resource
[Resource](https://academy.claude.com/)
Resource
[Zero trust AI agents](https://cdn.prod.website-files.com/6889473510b50328dbb70ae6/6a0521e14a6fed28fe4a3b3b_Claude-eBook-Zero-Trust-for-AI-Agents-05132026.pdf)
Zero trust AI agents
Zero trust AI agents
Guide
[Guide](https://cdn.prod.website-files.com/6889473510b50328dbb70ae6/6a0521e14a6fed28fe4a3b3b_Claude-eBook-Zero-Trust-for-AI-Agents-05132026.pdf)
Guide
[Deploying Claude across your organization](https://cdn.prod.website-files.com/6889473510b50328dbb70ae6/69f24d3e09b921b92403774e_Claude-Deploying-Claude-Across-Your-Organization-04292026.pdf)
Deploying Claude across your organization
Deploying Claude across your organization
Guide
[Guide](https://cdn.prod.website-files.com/6889473510b50328dbb70ae6/69f24d3e09b921b92403774e_Claude-Deploying-Claude-Across-Your-Organization-04292026.pdf)
Guide
[The Enterprise AI transformation guide](https://cdn.prod.website-files.com/6889473510b50328dbb70ae6/6a05227a9465cf77dba4c51a_The%20Enterprise%20AI%20Transformation%20Guide%20101425%20(1).pdf)
The Enterprise AI transformation guide
The Enterprise AI transformation guide
Guide
[Guide](https://cdn.prod.website-files.com/6889473510b50328dbb70ae6/6a05227a9465cf77dba4c51a_The%20Enterprise%20AI%20Transformation%20Guide%20101425%20(1).pdf)
Guide
[The 2026 state of AI agents report](https://cdn.prod.website-files.com/6889473510b50328dbb70ae6/6a0522b7ebbb33addef0d238_2026%20State%20of%20AI%20Agents%20Report%20(1).pdf)
The 2026 state of AI agents report
The 2026 state of AI agents report
Report
[Report](https://cdn.prod.website-files.com/6889473510b50328dbb70ae6/6a0522b7ebbb33addef0d238_2026%20State%20of%20AI%20Agents%20Report%20(1).pdf)
Report
## Ready to bring Claude
to your organization?
Get Enterprise plan
[Get Enterprise plan](http://claude.ai/create/enterprise)
Get Enterprise plan
Build on Claude Platform
[Build on Claude Platform](/platform/api)
Build on Claude Platform
[Homepage](https://claude.com)
Homepage
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
[Anthropic](https://www.anthropic.com/)
Anthropic
© \[year\] Anthropic PBC
Products
- Claude
[Claude](/product/overview)
Claude
- Claude Code
[Claude Code](/product/claude-code)
Claude Code
- Claude Cowork
[Claude Cowork](/product/cowork)
Claude Cowork
- @Claude
[@Claude](/product/tag)
@Claude
- Claude Science
[Claude Science](/product/claude-science)
Claude Science
- Claude Security
[Claude Security](/product/claude-security)
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---
## claude-for-cybersecurity-claude-by-anthropic-5c787c173b.md
# Defense at the pace threats now demand
Frontier AI models have surpassed all but the most skilled humans at finding and exploiting software vulnerabilities. Within months, we expect these capabilities will proliferate across AI models and become widely accessible to everyone, including attackers.
Defenders across industries, research, open source, and government must act to find and fix what’s exposed today, and build a durable advantage that drives vulnerabilities ever closer to zero in the future.
01
### State of cybersecurity
Insights on model capabilities today, including Claude Mythos.
Skip to
[Skip to](#state-of-cybersecurity)
Skip to
02
### Products and technology
Security-tuned models and tools you can deploy today.
Skip to
[Skip to](#products-and-technology)
Skip to
03
### Commitments
Open-source support, critical-systems defense, and policy advocacy.
Skip to
[Skip to](#commitments)
Skip to
04
### Resources
Cybersecurity resources, including research, guides, and field insights.
Skip to
[Skip to](#resources)
Skip to
The state of cybersecurity
## Where frontier capability stands today
Models can build working exploits, defeat security walls, or help defenders ship fixes at scale. The outcome depends on how they’re used.
Capability
Remediation
Active
## Model exploit capability
ExploitBench · V8 bugs
| Model | T5 | T4 | T3 | T2 | T1 |
|----------------|-----|-----|-----|-----|-----|
| Mythos Preview | 41 | 38 | 35 | 22 | 18 |
| Opus 4.7 | 41 | 24 | 12 | 0 | 0 |
| Opus 4.6 | 41 | 23 | 9 | 0 | 0 |
| Sonnet 4.6 | 41 | 21 | 10 | 0 | 0 |
| Haiku 4.5 | 40 | 5 | 0 | 0 | 0 |
| GPT 5.5 | 41 | 29 | 13 | 2 | 1 |
| Kimi K2.6 | 40 | 16 | 0 | 0 | 0 |
| MiniMax M2.7 | 40 | 6 | 0 | 0 | 0 |
ExploitBench V8 bugs: environments where model reached tier or above
T1 = full control, hardest
### From finding flaws to full system control
A year ago, the most capable AI models could spot security flaws but couldn't reliably exploit them. Today, in the wrong hands, they can — and not just in simple software. Mythos Preview is the first model to consistently break through the sandbox protections modern browsers and operating systems rely on; other frontier models still stop at the wall. Defenses built on last year's assumptions are already behind.
Read Red Team research
[Read Red Team research](https://red.anthropic.com/2026/exploit-evals/)
Read Red Team research
Reading the chart
Capability trends downward as tasks get harder. T5 is "the model reaches vulnerable code." Only Mythos Preview passed T1: "the model fully controls the system."
### Tipping the scales to defenders
In March 2026, Mozilla shipped fixes for vulnerabilities found by Claude Opus 4.6, the model that found hundreds of bugs in open source software that survived decades of human review. With Mythos Preview, Mozilla shipped an additional 271 fixes in the April release, more than 20 times their monthly average. Says Bobby Holley, CTO of Firefox, “Defenders finally have a chance to win, decisively.”
Read Mozilla research
[Read Mozilla research](https://hacks.mozilla.org/2026/05/behind-the-scenes-hardening-firefox/)
Read Mozilla research
Inside Mozilla's review process
The model expands what gets reviewed, and humans decide what gets patched.
Project Glasswing
### Our approach to dual-use with Claude Mythos models
Claude Mythos Preview, and now Claude Mythos 5, are models with significantly stronger cybersecurity capabilities, especially in exploit reasoning. As this capability carries the greatest potential for misuse in security, we are limiting initial access to a small number of partners through Project Glasswing. Claude Fable 5 is our Mythos-class model safe for general use through additional safeguards. [Read the latest](https://www.anthropic.com/news/claude-fable-5-mythos-5)
### Securing critical software
Glasswing partners maintain critical infrastructure or software the world depends on, where a successful attack would be catastrophic.
### Expanding through trusted access
We are working toward steadily expanding access to Claude Mythos 5 through a trusted access program, and will share more soon.
### Providing tools for defenders today
Claude Security, the open-source reference tools, and the practices emerging from Project Glasswing are available to all security teams.
Read our full approach
[Read our full approach](#)
Read our full approach
## How security teams put Claude to work for defense
Across enterprise security programs and inside Anthropic, teams use Claude to improve risk posture.
Learn more
[Learn more](/product/claude-security)
Learn more
Claude Security
Claude Code
Claude Developer Platform
Active
[Play video](#)
Play video
### Find and fix vulnerabilities with Claude Security
Claude Security reasons about your code like a security researcher: scanning for vulnerabilities, validating findings, and proposing targeted patches.
Start defending
[Start defending](/product/claude-security)
Start defending
Prompt
Can you tell me ...
● Scanning 247 files across app/, services/, routes/...
● Analyzing auth flows, input validation, file handling...
● Filtering by severity ≥ high...
● Found 4 findings in acme-corp/hookrelay
CRITICAL
Shell command injection via webhook payload
app/services/notifiers/script_runner.py:21 · Command injection
CRITICAL
JWT authentication bypass via "none" algorithm
app/auth/jwt_handler.py:28 · Auth bypass
CRITICAL
Path traversal in export file download endpoint
app/routes/exports.py:39 · Path traversal
HIGH
Server-side request forgery in destination URL validation
app/services/validator.py:36 · SSRF
✓ 12 lower-severity findings filtered out
### Ship secure code in your CI/CD workflow
Use the Code Review skill to set up automated PR reviews to catch logic errors, security vulnerabilities, and regressions across your full codebase.
Start reviewing
[Start reviewing](/product/claude-code)
Start reviewing
Prompt
Can you tell me ...
agent.py Python
from claude_agent_sdk import Agent
agent = Agent(
model="claude-opus-4-8",
system="Security co-pilot for Acme Defend.",
mcp_servers=[
{"name": "vuln_scanner", "cmd": "./mcp/scanner"},
{"name": "asset_graph", "cmd": "./mcp/assets"},
{"name": "patch_engine", "cmd": "./mcp/patches"},
],
)
# Fan out to specialized subagents in parallel
result = await agent.run(
task=finding,
subagents=["triage", "severity", "remediate"],
parallel=True,
sandbox=True,
)
Response
Streaming…
### Deploy security agents with the Claude Developer Platform
Ship defender tools and custom security agents with sandboxed execution, credential isolation, and audit logging built in via the Agent SDK, MCP, and Claude API.
Start building
[Start building](/platform/api)
Start building
"Anthropic prioritized safety and security a lot more than other LLMs... As the largest cybersecurity company, that's a big deal for us."
- Gunjan Patel, Director of Engineering
“Claude consistently performed best on complex, agentic workflows, especially multi-step investigations requiring policy adherence and sustained reasoning across multiple tools.”
- Anirudh Ravula, Head of AI
“The industry has always moved too slowly compared to attackers. AI is like giving defenders a jetpack when they've been limited to walking.”
- Martin Holste, CTO of Cloud & AI
[Prev](#)
Prev
### Build threat context
Give scanning and response a map to work from. Claude derives a threat model from your codebase and past vulnerabilities, then enriches raw indicators with infrastructure links, attribution, and ATT&CK mapping, so analysts start with context.
Open source: Threat Intel Enrichment agent
[Open source: Threat Intel Enrichment agent](https://platform.claude.com/cookbook/tool-use-threat-intel-enrichment-agent)
Open source: Threat Intel Enrichment agent
Open source: Threat Model skill
[Open source: Threat Model skill](https://github.com/anthropics/defending-code-reference-harness/tree/main/.claude/skills/threat-model#threat-model)
Open source: Threat Model skill
### Vulnerability detection
Claude reads source code the way a researcher does, reasoning about reachability and exploitability, catching vulnerabilities that static tools often miss. A separate triage pass re-verifies every finding to help reduce false positives.
In Claude Security
[In Claude Security](https://claude.com/product/claude-security)
In Claude Security
Open source: Vulnerability detection agent
[Open source: Vulnerability detection agent](https://platform.claude.com/cookbook/claude-agent-sdk-06-the-vulnerability-detection-agent)
Open source: Vulnerability detection agent
### Patching
Findings now arrive faster than teams can fix them. Claude traces each one to its root cause, locates sibling call sites with the same flaw, and writes a minimal diff with a regression test for your team to review.
In Claude Security
[In Claude Security](https://claude.com/product/claude-security)
In Claude Security
Open source: Patching skill
[Open source: Patching skill](https://github.com/anthropics/defending-code-reference-harness/blob/main/.claude/skills/patch/SKILL.md#patch)
Open source: Patching skill
### Triage and verify findings
Hand Claude raw findings from any scanner and get back insights. Claude reads the surrounding code to confirm exploitability, deduplicates by root cause, and ranks by precondition and impact, so engineers can focus and work on real issues first.
In Claude Security
[In Claude Security](https://claude.com/product/claude-security)
In Claude Security
Open source: Triage skill
[Open source: Triage skill](https://github.com/anthropics/defending-code-reference-harness/tree/main/.claude/skills/triage)
Open source: Triage skill
### Security review across the dev loop
Review code for security at every stage of development. Claude checks its own edits as it writes and fixes issues in the same session, then specialized agents re-examine pull requests against your codebase, posting verified findings inline without blocking your review gates.
Security guidance in Claude Code
[Security guidance in Claude Code](https://code.claude.com/docs/en/security-guidance)
Security guidance in Claude Code
Code Review in Claude Code
[Code Review in Claude Code](https://code.claude.com/docs/en/code-review)
Code Review in Claude Code
### Secure source code, end to end
As offensive capability accelerates, the find-and-fix loop has to close faster. Claude runs threat modeling, discovery, verification, triage, and patching as one continuous loop on your codebase, carrying context across every stage so each finding arrives at the fix with its full history.
Using LLMs to secure source code
[Using LLMs to secure source code](https://claude.com/blog/using-llms-to-secure-source-code)
Using LLMs to secure source code
Customer story
Cogent resolves security threats 97% faster with Claude
Read story
[Read story](https://claude.com/customers/cogent)
Read story
Claude Opus
500+
high-severity vulnerabilities found that survived decades of scrutiny and automated analysis
## Cyber defense powered by Claude, available through our partners
Frontier capabilities
### Leverage powerful models for defense
Claude reads code carefully, understands real risks, and sustains the long workflows that continuous defense requires. Verified practitioners can request [adjusted safeguards](https://support.claude.com/en/articles/14604842-real-time-cyber-safeguards-on-claude-opus-and-sonnet) for dual-use work.
Learn more
[Learn more](https://support.claude.com/en/articles/14604842-real-time-cyber-safeguards-on-claude)
Learn more
## Anthropic’s commitment to cyberdefense
Frontier AI capabilities are advancing faster than any single team can respond to, and developers, vendors, researchers, open-source maintainers, and public-sector defenders all have a role to play.
### Supporting open-source security
The internet runs on critical software maintained by people with limited resources. We extend access to capable models, fund the foundations behind them, and disclose vulnerabilities responsibly when Claude finds them.
Apply through Claude for Open Source
[Apply through Claude for Open Source](https://claude.com/contact-sales/claude-for-oss)
Apply through Claude for Open Source
Read our CVD policy
[Read our CVD policy](https://www.anthropic.com/coordinated-vulnerability-disclosure)
Read our CVD policy
See our work with the Linux Foundation
[See our work with the Linux Foundation](http://linuxfoundation.org/blog/project-glasswing-gives-maintainers-advanced-ai-to-secure-open-source)
See our work with the Linux Foundation
### Defending mission-critical systems
We partner with the organizations responsible for the world's most critical software and infrastructure — from Project Glasswing's work hardening systemically important code, to our research with Pacific Northwest National Laboratory (PNNL**)** on defending cyber-physical systems.
Read the latest on Project Glasswing
[Read the latest on Project Glasswing](https://www.anthropic.com/news/expanding-project-glasswing)
Read the latest on Project Glasswing
Read about Anthropic and PNNL
[Read about Anthropic and PNNL](https://red.anthropic.com/2026/critical-infrastructure-defense/)
Read about Anthropic and PNNL
### Advocating for policy that backs defenders
Our Advanced AI Framework proposes policies for binding obligations on frontier labs, Anthropic included, and government authority to block dangerous deployments, alongside investment in open-source hardening and the safeguards that would let frontier cyber capability reach more defenders safely.
Read the Advanced AI Framework
[Read the Advanced AI Framework](https://www.anthropic.com/policy-on-the-ai-exponential/aaif)
Read the Advanced AI Framework
## Go deeper on cyberdefense
Everything you need to strengthen your defense posture, from research to implementation guides.
Research
Guides
In the field
Active
Title
Measuring LLMs’ impact on N-day exploits
June 8, 2026
Expanding Project Glasswing
June 2, 2026
Project Glasswing: An initial update
May 22, 2026
Measuring LLMs’ ability to develop exploits
May 22, 2026
Anthropic's coordinated vulnerabilty disclosure dashboard
May 22, 2026
Assessing Claude Mythos Preview’s cybersecurity capabilities
April 7, 2026
Reverse engineering Claude's CVE-2026-2796 exploit
March 6, 2026
LLM-discovered 0-days
February 5, 2026
AI models on realistic cyber ranges
January 16, 2026
Finding Bugs with Claude and Property-based Testing
January 14, 2026
Experimenting with AI to Defend Critical Infrastructure
January 8, 2026
Title
content type
Using LLMs to secure source code
content type
Blog
May 27, 2026
Zero Trust for AI Agents
content type
May 27, 2026
Secure the Advantage: A CISO's Guide to Agentic AI
content type
Blog
May 12, 2026
Vulnerability Detection Agent
content type
Cookbook
April 22, 2026
Preparing Your Security Program for AI-Accelerated Offense
content type
Blog
April 10, 2026
Threat Intelligence Enrichment Agent
content type
Cookbook
April 7, 2026
Title
content type
Claude Security: Putting Claude to Work for Defenders
content type
Webinar
May 28, 2026
How our partners are putting Opus to work for cybersecurity
content type
Blog
May 21, 2026
How Anthropic's cybersecurity team built a threat detection platform with Claude Code
content type
Blog
May 12, 2026
Long Running Agents: How Outtake built a Cyber investigator on Claude
content type
Webinar
April 28, 2026
Partnering with Mozilla to improve Firefox's security
content type
Blog
March 6, 2026
## Give defenders an edge with Claude
[Contact sales](/contact-sales)
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[Start building](https://platform.claude.com/)
Start building
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[Anthropic](https://www.anthropic.com/)
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© \[year\] Anthropic PBC
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---
## claude-for-higher-education-claude-by-anthropic-a132da49ac.md
# Navigating AI in higher **education together**
# Navigating AI in higher **education together**
Claude helps universities and colleges advance research, support teaching and learning, and run operations and student support systems more effectively.
Contact our Education team
[Contact our Education team](https://claude.com/contact-sales/education-plan)
Contact our Education team
## How Claude works
for higher education
### Built for university rigor
Whether you’re synthesizing sources for a literature review or working through a problem, Claude engages with complexity without simplifying it away. It pushes back, asks follow-up questions, and helps you develop arguments you couldn’t have reached alone.
### Designed to strengthen thinking
Claude’s learning mode works like a good tutor: it asks questions that help you find the answers yourself. For students, that means developing transferable skills. For faculty, that means a thinking partner who can hold the thread of a long research conversation.
### Trusted by institutions that take privacy seriously
Claude meets the compliance requirements higher education institutions have for student data. We only use data to improve our models when you give permission. Our security standards are designed to meet institutional compliance needs.
K-12 teacher? Claude for Teachers is built for you.
Get verified
[Get verified](/solutions/teachers)
Get verified
## Claude for higher education
A comprehensive university-wide plan for institutions, including its students, faculty, and staff.
Contact our Education team
[Contact our Education team](https://claude.com/contact-sales/education-plan)
Contact our Education team
### Faculty
Claude helps you build richer course materials faster, starting from your expertise rather than a blank page. Draft syllabi, design assignments that require original thinking, and work through where students are likely to get stuck before you're in the room with them.
### Researchers
Claude can work through literature spanning hundreds of papers, refine a methodology section, or interpret a dataset. The Claude Science app, an AI workbench for scientists, integrates the tools researchers commonly use, produces auditable artifacts, and provides flexible access to computing resources.
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From drafting policy and onboarding communications to reviewing transcripts and building budgets, Claude helps administrative teams transform the way they work without losing quality. Institutions can deploy Claude across departments with the security and compliance controls they need.
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[Prev](#)
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## Resources for students, educators, and administrators
Everything you need to integrate AI thoughtfully into your educational environment.
AI Fluency for students
Anthropic Academy
[AI Fluency for students](https://anthropic.skilljar.com/ai-fluency-for-students)
AI Fluency for students
AI Fluency for educators
Anthropic Academy
[AI Fluency for educators](https://anthropic.skilljar.com/ai-fluency-for-educators)
AI Fluency for educators
Teaching AI Fluency
Anthropic Academy
[Teaching AI Fluency](https://anthropic.skilljar.com/teaching-ai-fluency)
Teaching AI Fluency
AI Fluency: Framework & Foundations
Anthropic Academy
[AI Fluency: Framework & Foundations](https://anthropic.skilljar.com/ai-fluency-framework-foundations)
AI Fluency: Framework & Foundations
## Our commitment to responsible AI in higher education
At Anthropic, we believe AI has the power to fundamentally transform education for the better, but only if educators and higher education institutions lead the charge. We developed Claude with powerful safeguards to ensure it remains a beneficial tool for students, faculty, and administrators.
### Ensure
equitable access
We partner with institutions to make AI-enhanced education accessible to all students, regardless of background.
### Protect privacy and
ensure security
We only use data to train our models when given permission, and we maintain security standards that meet your compliance needs.
### Provide transparency
We share what Claude can (and can’t) do honestly, empowering you to make informed decisions about how AI fits into your educational environment.
## Products and programs to support higher education
### Claude Code
Write and debug research code directly in your terminal or IDE. Claude works through analysis scripts, data pipelines, and computational problems, while explaining its reasoning. For courses across disciplines, students get a collaborator to build understanding.
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[Learn more](https://claude.com/product/claude-code)
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### Claude Developer Platform
Build AI directly into your own research tools, course platforms, or campus systems. The Claude API gives faculty developers and university IT teams access to integrate Claude into custom applications and existing workflows. If the right tool for your research doesn’t exist yet, build it.
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[Learn more](/platform/api)
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### Claude Cowork
Set up a recurring task once and Claude runs it on the schedule you choose: a weekly digest of papers in your field, summaries compiled from your notes, reminders drafted from your grant calendar. You set the rules. Cowork follows them.
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### Claude for Word
Draft and revise academic writing without leaving Word. Claude works inside your document to help structure arguments, tighten methodology sections, and give feedback on grant proposals or manuscripts. Changes come in as tracked revisions you accept, reject, or adjust.
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[Learn more](/claude-for-microsoft-365)
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### Claude for Research Labs
Connect Claude to the databases and files your research depends on. It holds context across a long conversation, helps you spot gaps in the evidence, and drafts sections grounded in what’s there.
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### Claude Science
Collaborate on rigorous scientific research with the Claude Science app. It runs analyses, searches databases, and traces every step from data wrangling to publication, so you can spend time on science.
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---
## claude-for-k-12-teachers-claude-by-anthropic-37056c5221.md
# Claude for K-12 teachers
# Get back to why you started teaching
US K-12 educators and districts get free access to premium Claude features, like teaching skills and a connection to evidence-based curricula, aligned to state standards. Schools and district leaders can bring Claude for Teachers into one workspace with enterprise-level features like role-based access controls and SSO, all at no cost.
Get verified
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## Trusted by educators alongside
## Built for K-12 teachers
### More time with your students
Ask Claude for a lesson or quiz and it drafts in minutes. You review, adjust, and decide what’s right for your class and get back time to teach.
### Grounded in standard curricula
You can connect to Learning Commons, which gives Claude access to academic standards across all 50 states and grounds lesson plans in evidence-based curricula.
### Built to protect student data
No model training on your content by default and student data stays protected.
### Ready for your school or district
Schools and district leaders can give every educator Claude for Teachers under accounts they manage, with enterprise-level features like role-based access controls, SSO and K-12 Terms.
Use current teaching tools
[Play video](#)
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Claude works across the tools you already use to give you faster, more in depth feedback.
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## How educators use Claude
Plan lessons
Differentiate instruction
Assess for understanding
Communicate with families
Anticipate misconceptions
Active
Prompt
Plan a 45-minute 7th grade math lesson on solving two-step equations. I teach from Illustrative Math and my students have mastered one-step equations. Create student materials that include a do-now, worked example, and exit ticket. Prepare a presentation I can give in class tomorrow.
Connectors
Learning Commons
Coteach
P
Presentation
1 of 1
# Solving Two-Step Equations
From balanced hangers to algebraic steps — undo the operations in reverse order.
Grade 7 Math 45 minutes px + q = r
Today's Goal: I can solve equations like 2x + 3 = 11 by undoing operations in reverse.
Launch · The Big Idea
## A hanger stays level when it's balanced
Both sides weigh the same — that's what **=** means. So what does **x** have to be?
x
x
3
11
2x + 3 = 11
Model · Undo In Reverse Order
## Follow the same two steps every time
Example 1undo in reverse order
2x + 3 = 11
Step 1 · subtract 3 both sides
2x + 3 − 3 = 11 − 3 → 2x = 8
Step 2 · divide both sides by 2
2x ÷ 2 = 8 ÷ 2 → x = ?
Example 2watch the negative sign
−3x + 5 = −4
Step 1 · subtract 5 both sides
−3x + 5 − 5 = −4 − 5 → −3x = −9
Step 2 · divide both sides by −3
−3x ÷ (−3) = −9 ÷ (−3) → x = ?
Practice
## Your turn
15 min · with a partner
Show both steps — what did you do first, and why? Then check your answers.
1
4x + 7 = 23
− 7 both sides → 4x = 16
÷ 4 both sides
2
5x − 6 = 19
+ 6 both sides → 5x = 25
÷ 5 both sides
3
−2x + 1 = 9
− 1 both sides → −2x = 8
÷ (−2) both sides
**Talk with a partner:** which operation did you undo first in each problem, and why?
Assess · Exit Ticket
## Show me what you've got
8 min · solo · silent
Solve each equation. Show every step.
1
3x + 8 = 20
Which operation did you undo first? Why that one?
2
−4x + 9 = −3
Watch the negative sign — what changes?
### Success criteria
1 Undo addition/subtraction first
2 Undo multiplication/division second
### Plan a lesson based on real curriculum
Create new lesson plans, or update existing files on your desktop using Cowork. Claude draws on Learning Commons for state standards and materials from Illustrative Mathematics and OpenSciEd.
Prompt
Make a spreadsheet analysis on how my 4th grade ELA students are performing on grade-level standards, using the de-identified reading data I've attached. Then put everyone into small groups (reteach, on-level, and extension) for tomorrow's lesson on main ideas and supporting details.
Attachments
4th-grade-ELA-lesson
500 kb
PDF
class-reading-levels-deidentified
100 kb
PDF
Connectors
Learning Commons
X
Grade 4 ELA Standards Analysis
### Differentiate for every student in the room
Give Claude context about your classroom — like de-identified reading levels — to produce differentiated materials for students working below, at, and above grade level.
Whether and how educational data may be used in Claude for Teachers is determined by your district and state policies. You can read more about our K-12 data privacy standards for Claude for Teachers [here](https://support.claude.com/en/articles/15926041).
Prompt
Create a 10-question formative assessment for 8th grade science on photosynthesis, aligned to NGSS MS-LS1-6. Include two levels of difficulty and an answer key.
Connectors
Learning Commons
Brisk Teaching
## Photosynthesis Check-In
*Formative Assessment · 8th Grade Science
Standard: NGSS MS-LS1-6*
##### About this check-in
**What this checks (NGSS MS-LS1-6):** Can you explain, using evidence, how photosynthesis moves matter (atoms) and energy into and out of living things?
**How it works:** Part A covers the core ideas. Part B asks you to stretch and explain your thinking. Do your best on every question — this helps your teacher see what to review. It is not graded for points.
##### Part A — Core Ideas
*Level 1 — the building blocks*
**1.** What two things does a plant take IN from its surroundings to carry out photosynthesis?
A. Oxygen and sugar
B. Carbon dioxide and water
C. Sugar and soil
D. Nitrogen and salt
**2.** Where does a plant get the energy it needs to run photosynthesis?
A. From minerals in the soil
B. From sunlight
C. From the oxygen in the air
D. From the water it drinks
**3.** Photosynthesis makes a sugar the plant can use as stored food. Which molecule is that?
A. Carbon dioxide (CO2)
B. Water (H2O)
C. Glucose, a sugar (C6H12O6)
D. Oxygen (O2)
**4.** True or False: “A plant gets most of the material it uses to grow from the soil.” Circle one: TRUE / FALSE
Then explain your choice in one sentence.
****
**5.** Fill in the blanks to complete the word equation for photosynthesis:
\_\_\_\_\_\_+ \_\_\_\_\_\_ —(light energy)→ \_\_\_\_\_\_ + \_\_\_\_\_\_
*Hint: Two things go in, two things come out.*
##### Part B — Stretch Your Thinking
*Level 2 — explain with evidence*
**6.** A plant absorbs light energy from the Sun. That energy does not disappear — it changes form. Where does the light energy go? Describe what it becomes.
**7.** A student says: “The carbon atoms in the sugar a plant makes come from the sunlight.” Is the student correct? Explain where the carbon atoms actually come from.
*Hint: Sunlight is energy. Atoms are matter. Are those the same thing?*
**8.** A plant is sealed in a clear container in bright light. Over a few hours, the CO2 in the container goes down and the O2 goes up. What does this evidence tell you the plant is doing? Explain how you know.
**9.** Claim: “Photosynthesis moves both matter and energy.” Support this claim with evidence in 2–3 sentences. (This is the big idea of the whole unit!)
*Sentence starters: “Matter moves because…” “Energy moves because…”*
**10.** Explain how the oxygen you breathe is connected to photosynthesis. In your answer, describe matter moving from one place to another.
##### Answer key and teacher notes
For open-response items, accept any answer that shows the key reasoning below — exact wording will vary. Bracketed tags show what each item reveals about student understanding.
**1. B — Carbon dioxide and water** *\[Identifies inputs / matter taken in\]*
These are the two inputs (reactants) the plant takes in. A, C, and D include products or unrelated substances.
**2. B — From sunlight** *\[Distinguishes energy source from matter\]*
Light is the energy source. Soil minerals and water are matter, not the energy that drives the reaction.
****
**3. C — Glucose, a sugar (C6H12O6)** *\[Identifies the energy-storing product\]*
Glucose is the food molecule that stores chemical energy. Oxygen is also a product but is not the plant’s stored food.
**4. FALSE** *\[Matter: source of plant mass\]*
Most of a plant’s mass comes from carbon dioxide in the air — the carbon atoms in CO2 become part of the sugar and plant body — plus water, not from soil. Soil mainly provides water and small amounts of minerals. This targets a very common misconception.
**5. carbon dioxide + water → sugar (glucose) + oxygen** *\[Reactants and products of photosynthesis\]*
Accept CO2 + H2O → C6H12O6 + O2. Inputs may be in either order; same for products.
**6. Light energy is transformed, not lost** *\[Energy flow and transformation\]*
The light energy is captured and stored as chemical energy in the bonds of the sugar (glucose) molecules the plant makes. It changes form — light to chemical — rather than disappearing.
**7. Student is incorrect** *\[Energy vs. matter; source of carbon\]*
Sunlight provides energy, not atoms. The carbon atoms come from carbon dioxide (CO2) gas the plant takes in from the air. Full credit distinguishes energy (from the Sun) from matter (carbon from CO2).
**8. The plant is doing photosynthesis** *\[Interprets evidence / data\]*
Falling CO2 shows the plant is using up a reactant (taking in matter); rising O2 shows it is producing a product and releasing it. Together that is evidence of photosynthesis.
**9. Claim supported by matter AND energy** *\[Constructs evidence-based explanation — anchor item\]*
Matter: atoms from CO2 and water are rearranged into sugar and oxygen — the atoms are conserved, just reorganized. Energy: light energy from the Sun is captured and stored as chemical energy in the sugar. A strong answer addresses both matter and energy with evidence. This item is the core of MS-LS1-6.
**10. Our oxygen is a product of photosynthesis** *\[Matter cycling across organisms / systems\]*
Plants release O2 as they make sugar. Those oxygen atoms move out of the plant into the air, and animals (including us) take them in when we breathe. This shows matter cycling between plants and animals.
##### Quick formative read
- Part A mostly correct: student has the core inputs and outputs — ready for Part B reasoning.
- Misses \#4 or \#7: revisit “where plant mass comes from” and the energy-vs-matter distinction.
- Weak on \#9: reteach how photosynthesis connects matter cycling and energy flow — the MS-LS1-6 target.
### Build quizzes and check for understanding
Generate a quiz or short assessment tied to specific standards. Review and adjust before anything reaches students.
Prompt
Every Friday at 3 pm, draft the weekly parent newsletter from this week’s lesson plans in my Planning folder. Include what we covered, what’s coming next week, and one thing families can practice at home. Prepare an email draft for me to review.
Attachments
week-of-june-23-lessons
512 KB
PDF
Connectors
Gmail
Microsoft 365
Room 14 Weekly Update — what we read, what's next, and one way to help at home
Grade 2 Families · Room 14 \<room14-families@maplewoodelementary.org\>
Hello Room 14 families,
Happy Friday! Here's a quick look at our reading week — what the class worked on, where we're headed next week, and one simple way you can help at home. As always, ten relaxed minutes makes a real difference.
### What we covered this week
Our focus stayed on **fluency** — reading smoothly, at a comfortable pace, and with expression. The children practiced in a few ways:
- **Re-reading favorites.** Each child picked a short book or passage and read it aloud two or three times across the week to build speed and confidence.
- **Echo and partner reading.** I read a line aloud, the children read it back matching pace and expression, and then they practiced the same way with a partner.
- **Talking about the story.** Comprehension is a real strength for this class, so we kept discussing characters and what happens next — meaning never gets lost in the mechanics.
### Coming up next week
We'll build on smooth reading by letting **punctuation be our guide** — pausing at periods, lifting our voices for questions, and adding a little energy at exclamation points. We'll also begin a new class read-aloud and add a fresh set of sight words to our word wall.
### One thing to practice at home
If you do just one thing this week, try echo reading for about ten minutes on a few evenings. You read one sentence aloud with nice expression, then your child reads the same sentence back, matching your pace and tone. Keep it light and playful — celebrate the smooth tries and don't worry about perfection.
Re-reading an old favorite counts too. The goal is relaxed, enjoyable practice — not extra homework.
Thank you, as always, for reading alongside your children at home. It truly shows in the classroom, and I'm happy to chat anytime.
Warmly,
Ms. Bennett
Grade 2, Room 14 — Maplewood Elementary
Send
### Draft parent emails and newsletters
With scheduled tasks in Claude Cowork, Claude can draft a classroom newsletter on the cadence and topics that you choose.
Prompt
What are the most common misconceptions 5th graders have about multiplying fractions? Give me three discussion questions that surface each one.
Connectors
Eedi
Learning Commons
### Fraction Multiplication
**Three common misconceptions in Grade 5 — and questions to surface them**
Subject: Mathematics · Grade 5
Topic: Multiplying fractions
###### Overview
Fifth graders bring three big misconceptions into fraction multiplication, and each one comes from over-applying rules that worked for whole numbers. The diagnostic questions below are designed to bring each faulty mental model into the open during discussion.
**1. "Multiplying always makes things bigger."**
Years of whole-number multiplication teach kids that products are larger than the factors, so ½ × 8 = 4 feels wrong to them — like it should have been division.
- "I multiplied two numbers and my answer was smaller than one of them. Did I do something wrong? Why or why not?"
- "Without calculating, will ¾ × 20 be more than 20 or less than 20? How do you know?"
- "When does multiplying make a number bigger, when does it make it smaller, and when does it keep it the same?"
**2. "You need common denominators to multiply."**
Rules from addition leak over. Students who just learned to find common denominators for adding fractions often insist on doing it for multiplication too — or, conversely, they add straight across because multiplying straight across worked.
- "Jayla says you have to change ⅔ × ¼ into twelfths before you can multiply. Marcus says you can just multiply across.”
**3. "× means groups of whole things."**
Kids don't yet understand that ⅓ × ½ means "a third of a half." They can execute the multiply-across algorithm without any idea what the answer represents, which is why they can't estimate or check whether an answer is reasonable.
- "What does ½ × ⅓ mean in words? Can you tell a story problem that matches it?"
- "Shade ⅓ of a rectangle. Now shade ½ of that piece. What fraction of the whole rectangle did you shade, and how does that connect to the numbers?"
- "Why is ⅓ of ½ the same as ½ of ⅓? Convince a skeptic with a drawing, not just the algorithm."
###### A thread across all three
Keep asking students to predict the size of the answer before computing.
That single habit surfaces every one of these misconceptions in discussion, because the wrong predictions come straight from the faulty mental models.
### See where students will struggle before they do
Tell Claude your learning objective to unpack the common misconceptions for that topic, along with discussion questions designed to draw them out and correct them.
## Connected to services you trust
Claude connects to trusted curriculum sources so you can build lesson plans grounded in your state’s standards.
Explore connectors
[Explore connectors](/connectors)
Explore connectors
AI fluency for pK-12 teachers
Access AI Fluency courses co-created with Teach For America and a train the trainer module co-created with the American Federation of Teachers. It’s model-agnostic and practical, includes which classroom tasks AI is suited for, and how to use it responsibly with students in mind.
Start the course
[Start the course](https://anthropic.skilljar.com/path/ai-fluency-for-pk-12-educators)
Start the course
## Secure K-12 workspace
Protecting student data matters. Claude for Teachers is built to meet that bar.
Learn more
[Learn more](https://support.claude.com/en/articles/15926041)
Learn more
### Your data doesn’t train our models
Training is off by default for every verified educator account. Your conversations stay yours.
### Built with FERPA in mind
Educator accounts include FERPA-aligned terms. District accounts include school or district-wide K-12 terms and data privacy agreement.
### Informed by the AFT Gold Standard
Built to the privacy standard set by the American Federation of Teachers for student data protection.
“We’ve been working with Anthropic on a Gold Standard that sets out industry best practices for safety and privacy in K-12 education. It’s important that Anthropic is committing to these principles in their new Claude for Teachers — a tool designed by and for educators to assist them instructionally and hopefully give them more time for the human relationships at the heart of learning.”
Randi Weingarten, President
## More tools for K-12 educators
### Claude Cowork
Cut down on repetitive work. Set a task up once and Claude handles it on a schedule in Cowork: newsletters, lesson folders, resource lists.
Learn more
[Learn more](/product/cowork)
Learn more
### Claude Design
Turn lesson ideas into polished materials. Describe a handout, slide deck, or worksheet and Claude builds a design draft. You edit and share what’s right for your class.
Learn more
[Learn more](/product/design)
Learn more
### Claude in Chrome
Research anything without copying and pasting: Claude reads pages on the web in Chrome, pulls the information you need, and compiles it while you work on something else.
Learn more
[Learn more](/claude-in-chrome)
Learn more
### Claude Skills
Lesson planning and differentiation Skills are already built in. But you can further customize your own Skills — a rubric, your report-card format — and Claude follows it every time.
Learn more
[Learn more](/skills)
Learn more
How can I help?
Set up a weekly email for parents that includes what the class will learn next week. Highlight how parents can support students at home.
Ask Claude
[Ask Claude](#)
Ask Claude
How can I help?
Create a series of worksheets on the Bronze Age with space for students to take notes and label tools.
Ask Claude
[Ask Claude](#)
Ask Claude
How can I help?
Pull updated reading comprehension questions for a class discussion on some of the works of Edgar Allen Poe.
Ask Claude
[Ask Claude](#)
Ask Claude
[Prev](#)
Prev
“As a 9th grade educator seeking tools to reinforce humanist learning, Claude has demonstrated a keen eye towards identifying learning strategies. From classroom simulations to the intricacies of lesson planning, strategic application of Claude's educational tools lets teachers stay in command of the classroom and across systems!”
Justin, Learning Specialist
“Claude sparked my interest even more when it used the de-identified student assessment data I inputted to help me create goals that my upcoming students should focus on over the summer.”
S. Campbell, K-12 Teacher
“My favorite thing about Claude is how it leads with curiosity. It accomplishes tasks more thoroughly and naturally because it will ask you questions to get it right. I have been amazed at the thoughtful output for our end of year awards. It not only created the award certificates but a really fun and funny presentation to go along with it.”
Elisa, Middle School Teacher
Claude for Higher Education
Support university students with tools to engage them in deeper critical thinking.
Learn more
[Learn more](/solutions/education)
Learn more
## Get started with Claude for K-12 educators
### For US K-12 teachers
Serving verified teachers across US school systems
Free
Verify now
[Verify now](https://claude.ai/teachers)
Verify now
- Free account with access to premium Claude features
- Skills for teaching workflows
- Connectors to evidence-based curriculum (including Learning Commons)
- Models are never trained on your conversations
### For US K-12 schools and districts
Bring Claude for Teachers to every educator
Free
Get started
[Get started](https://claude.ai/k12districts)
Get started
- Claude for Teachers for every educator on your school or district domain
- Centrally managed accounts with enterprise-level features like role-based access controls and single sign-on
- K-12 terms and student data privacy agreement
- Models are never trained on your conversations
Sign up by June 30, 2027 for your full year of free access.
\*Extra usage limits apply. Prices shown don’t include applicable tax. Price and plans are subject to change at Anthropic’s discretion.
[Usage limits](https://support.anthropic.com/en/articles/9797557-usage-limit-best-practices) apply. Price and plans are subject to change at Anthropic's discretion.
## Education resources
[Adapt a standard textbook page to every reading level](https://claude.com/resources/use-cases/adapt-a-standard-textbook-page-to-every-reading-level)
Adapt a standard textbook page to every reading level
Adapt a standard textbook page to every reading level
Blog
[Blog](https://claude.com/resources/use-cases/adapt-a-standard-textbook-page-to-every-reading-level)
Blog
[Prepare and plan from your calendar](https://claude.com/resources/use-cases/prepare-and-plan-from-your-calendar)
Prepare and plan from your calendar
Prepare and plan from your calendar
Blog
[Blog](https://claude.com/resources/use-cases/prepare-and-plan-from-your-calendar)
Blog
[Introduction to Claude Cowork](https://anthropic.skilljar.com/introduction-to-claude-cowork)
Introduction to Claude Cowork
Introduction to Claude Cowork
Webinar
[Webinar](https://anthropic.skilljar.com/introduction-to-claude-cowork)
Webinar
[Introducing Claude for Teachers](https://www.anthropic.com/news/claude-for-teachers)
Introducing Claude for Teachers
Introducing Claude for Teachers
Blog
[Blog](https://www.anthropic.com/news/claude-for-teachers)
Blog
## See what Claude does for educators
Get verified
[Get verified](#get-verified)
Get verified
[Homepage](https://claude.com)
Homepage
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
[Anthropic](https://www.anthropic.com/)
Anthropic
© \[year\] Anthropic PBC
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---
## claude-for-life-science-teams-claude-by-anthropic-325931e73f.md
# Claude for Life Science Teams
## Chase the science that was out of reach
Claude works through problems alongside your team with full citations and audit trails, from your first hypothesis to the final submission.
Try Claude Science
[Try Claude Science](/product/claude-science)
Try Claude Science
[Contact sales](/contact-sales/life-sciences)
Meet Claude Science, now available in public beta
Claude works through your research like a skilled scientist, running the analysis and tracing every step. Spend less time stitching pipelines together, and more time on the science.
Learn more
[Learn more](/product/claude-science)
Learn more
“AI is the single most powerful opportunity BMS has to accelerate our mission for patients. Claude gives us the agentic capabilities, pace of innovation, and security to unlock decades of siloed knowledge for every employee – and to operate fundamentally different as a company in the next decade of biopharma.”
Greg Meyers, EVP and Chief Digital & Technology Officer
“At Genentech, Claude is helping us reshape day-to-day scientific research and lay the foundation for the autonomous labs of the future. By bringing Anthropic’s frontier reasoning models into our lab workflows, we’re building the infrastructure for autonomous, closed-loop discovery—so our scientists can design, execute, and iterate better and faster than ever to deliver more breakthroughs for patients.”
Aviv Regev, EVP and Head of Genentech Research and Early Development
“In our business, speed matters because patients are waiting for new medicines. That urgency is why we’re using Claude to enhance productivity across our company. By connecting Claude to trusted resources like PubMed through MCP, we’re accelerating literature reviews that once took days, freeing our teams to focus on what matters most: advancing the science and technology that help bring life-transforming medicines to patients in need.”
Divya Pathak, SVP & Chief AI Officer
“The clinical trial of 2030 will be designed by AI, managed by intelligent agents, and continuously optimized in ways that are simply beyond human bandwidth at scale. We’re not waiting for that future — we’re building it now. This is possible partnership works because Evinova and Anthropic are aligned where it matters most: AI in clinical development must be safe, explainable, and accountable. Pairing safety-first frontier AI capability with deep industry transformation experience is what pharma has been waiting for — and what patients deserve.”
Sean Connolly, Vice President and Chief Product and Technology Officer
“Claude plays an important role in how AbbVie operates—powering our Intelligent Medical Insights to better serve healthcare professionals and anchoring the agentic AI ecosystem behind a rapidly growing set of use cases. With Claude Enterprise, we are now exploring ways to scale that foundation across all of AbbVie to accelerate our mission of delivering innovative medicines to patients around the world.”
Sarah Nam, VP of AI Strategy and Partnerships
"Cepheid, a Danaher company, is using Claude to accelerate how its assay development team drafts and refines regulatory documentation for diagnostics in development—benefiting more patients by moving faster than a traditional release cycle. For the current Ebola outbreak, we're relying on our Xpert Hemorrhagic Fever test which detects the Ebola Bundibugyo strain. Partnerships like the one with Anthropic help Danaher and its operating companies accelerate ideas to impact."
JC Gutierrez-Ramos, Chief Scientist
"At AstraZeneca, AI is a defining force reshaping how we operate across R&D end-to-end. Through R&D powered by AI, we can derive deeper biological insights that help us push the boundaries of science to deliver life-changing medicines, including novel approaches for patient selection. Claude's commitment to mechanistic interpretability provides a safe, secure, and steerable model to empower our science-first approach."
Dr. Jorge Reis Filho, Chief of AI for Science Innovation, AstraZeneca R&D
"By reducing manual burden and enabling greater scale across our operations, our partnership with Anthropic will empower our teams to focus more time on high-value scientific and strategic work, with the goal of accelerating our path to patient impact."
Tahamtan Ahmadi, M.D., Ph.D, Executive Vice President and Chief Medical Officer, Genmab
"Veeva AI is industry-specific agentic AI that leverages Veeva's deep applications, data, domain expertise, and Anthropic's Claude. This unique combination allows us to bring the transformative promise of AI to life sciences at scale."
Andy Han, Senior Vice President, Veeva AI
“Opus 4.5 is an incredible model and a great choice for computational biology. The model is excellent at coding, reasoning about biology, and understanding scientific figures.”
Andrew White, CTO, Edison Scientific
"Commercial pharma teams are entering an era where real-time clinical intelligence and AI agents fundamentally change how therapies reach the right patients at the right time. Anthropic's models are unmatched in their reasoning capabilities and safety design. This collaboration accelerates our shared mission to ensure that clinical-grade agentic AI becomes a trusted, transformative force across global pharma."
Chris Mansi, MD, CEO and co-founder of Viz.ai
“Broad Institute scientists pursue the most ambitious questions in biology and medicine, and we create and share tools to help empower scientists everywhere. We’ve been working closely with Manifold on the next generation of the Terra.bio platform—Terra Powered by Manifold. Among the most exciting of these upgrades are AI agents built on Claude that enable scientists to carry out tasks at an entirely new scale and efficiency and explore scientific domains in previously impossible ways.”
Heather Jankins, Head of Data Science Platform
“AI in R&D only works through an ecosystem. Anthropic is doing this right, bringing together the best technologies while putting access, governance, and interoperability first. Benchling is uniquely positioned to contribute. For more than a decade, scientists have trusted us as the source of truth for experimental data and to modernize their workflows. Now we're building AI that powers this next chapter of R&D.”
Ashu Singhal, Co-founder and President
“Claude, paired with internal knowledge libraries, has become integral to Sanofi’s AI-driven transformation and is used by the majority of Sanofians on a daily basis within our internal Concierge app. We are seeing significant efficiency gains across the value-chain by optimizing our processes, while our enterprise-wide deployment has enhanced how our teams work. This collaboration with Anthropic augments human expertise to deliver life-changing medicines faster and more effectively to patients worldwide.”
Emmanuel Frenehard, Chief Digital Officer
“We’ve consistently been one of the first movers when it comes to document and content automation in pharma development. Our work with Anthropic and Claude has set a new standard—we’re not just automating tasks, we’re transforming how medicines get from discovery to the patients who need them.”
Read story
[Read story](https://claude.com/customers/novo-nordisk)
Read story
Louise Lind Skov, Director Content Digitalisation
“Claude Code has become a powerful accelerator for us at Schrödinger. For the projects where it fits best, Claude Code allows us to turn ideas into working code in minutes instead of hours, enabling us to move up to 10x faster in some cases. As we continue to work with Claude, we are excited to see how we can further transform the way we build and customize our software.”
Pat Lorton, Executive Vice President, Chief Technology Officer, and Chief Operating Officer
“At Manifold, our mission is to power faster, leaner life sciences. Building with Claude has enabled us to develop AI agents that translate questions in the semantic space of scientists to execution in the technical space of specialized datasets and tools. Together, we’re transforming how life sciences R&D will happen in the years ahead.”
Sourav Dey, PhD, Co-founder and Chief AI Officer
“At PwC, we believe responsible AI isn’t just a technology opportunity—it’s a trust imperative. We’re proud to pair our deep sector insight with Claude’s agentic intelligence to reimagine how clinical, regulatory, and commercial teams operate. Together, we’re not just streamlining processes—we’re elevating quality, accelerating discovery, and building systems where confidence scales alongside innovation.”
Matt Wood, US and Global Commercial Technology and Innovation Officer
“When we set out to create an AI agent that could automate bioinformatics analyses, we focused on three key factors to decide what model provider to use: top-ranking at software development, aligned with life sciences, and support for startups. We evaluated half a dozen platforms, and it became clear that Claude was the standout leader. We’re excited to continue this collaboration and bring cutting-edge AI Agents into the world of biotech research.”
Alfredo Andere, Co-founder and CEO
“Claude has been an invaluable progress multiplier for Axiom as we build AI to predict drug toxicity. We’ve used billions of tokens in Claude Code, and use it to write many of our PRs. More recently, Claude agents with MCP servers have become core tools for our scientific work. With the right MCPs, Claude agents can directly query databases and storage services to interpret, transform, and test correlations in data, and help us identify what data and features are most useful for predicting clinical drug toxicity.”
Alex Beatson, Co-founder
“At EvolutionaryScale, we’re building next-generation AI systems to model the living world. Anthropic’s frontier models accelerate our ability to reason about complex biological data and translate it into scientific insight, helping us push the boundaries of what’s possible in life science discovery.”
Sal Candido, Co-founder, Chief Technology Officer
“Claude has become the connective tissue across Sanofi. Our internal assistant, Concierge, is powered by Claude and used every day by roughly 60,000 employees — spanning every business unit from R&D to HR to engineering. For our highest-value work, Claude’s models have consistently proven to be the best, and adoption has grown faster than anything we’ve ever deployed.”
Emmanuel Frenehard, Chief Digital Officer
[Prev](#)
Prev
0/5
## Built for breakthroughs
### AI you can verify
Claude shows the lowest hallucination rates and is built with biosafety guardrails. When you connect to PubMed, bioRxiv, and research databases, claims are traced to their source, so teams can verify before they act.
### Built for scientific complexity
Analyze genomic data, synthesize hundreds of papers, and design experiments. With Opus 4.8, Claude shows notable improvements in biology benchmarks including BioPipelineBench, single-cell RNA analysis, and structural biology.
### Made for R&D
Claude Science is designed for scientific discovery across research, publication, and analysis. Connect to scientific databases for accurate work.
Learn more
[Learn more](/product/claude-science)
Learn more
Case study
Novo Nordisk accelerates clinical documentation and drug development with Claude
Read story
[Read story](https://www.claude.com/customers/novo-nordisk)
Read story
Case study
Bluenote powers intelligent agents for life sciences with Claude
Read story
[Read story](https://claude.com/customers/bluenote)
Read story
Case study
FutureHouse powers scientific discovery agents with Claude
Read story
[Read story](https://claude.com/customers/futurehouse)
Read story
Case study
Biomni accelerates biomedical discoveries by 100x with Claude
Read story
[Read story](https://claude.com/customers/biomni)
Read story
[Prev](#)
Prev
Advancing life sciences with Claude Opus 4.8
Opus 4.8 brings broader, more reliable reasoning to chemistry, structural biology, bioinformatics pipelines, and lab protocol design: steady, measurable progress on the work researchers do every day.
Learn more
[Learn more](https://www.anthropic.com/news/claude-opus-4-8)
Learn more
## How life sciences teams use Claude
Bioinformatics
Synthesis
Protocols
Regulatory
Code modernization
Active
Prompt
Use the scRNA-qc skill to perform QC and filtering on my raw_feature_matrix.h5 file. Apply standard filtering thresholds: min 200 genes per cell, max 6,000 genes per cell, max 15% mitochondrial content. Generate an HTML QC report with UMAP visualization, filtered h5ad file, and metrics CSV showing cells retained vs filtered.
Connectors
10x Genomics Cloud
Benchling
Content is user-generated and unverified.
Copy
[Learn about artifacts(opens in new tab)](https://support.claude.com/en/articles/9487310-what-are-artifacts-and-how-do-i-use-them)
Loading...
Content is user-generated and unverified.
Content is user-generated and unverified.
### Bioinformatics analysis
Process genomic data with validated bioinformatics pipelines through Claude Science. Claude connects to 10x Genomics and Benchling, then delivers annotated, reproducible reports you can share with cross-functional teams without needing to provide complex code.
Learn more
[Learn more](https://claude.com/resources/tutorials/how-to-use-the-scvi-tools-bioinformatics-skill-bundle-with-claude)
Learn more
Prompt
Search PubMed and bioRxiv for papers published 2023-2025 comparing gene expression in adult vs pediatric liver parenchymal cells. Focus on immune-related pathways. Generate a pathway enrichment bar chart showing gene count comparison between the two populations for the top 14 enriched pathways. Flag any contradictory findings across studies.
Connectors
PubMed
bioRxiv
Content is user-generated and unverified.
Copy
[Learn about artifacts(opens in new tab)](https://support.claude.com/en/articles/9487310-what-are-artifacts-and-how-do-i-use-them)
Loading...
Content is user-generated and unverified.
Content is user-generated and unverified.
Prompt
Search PubMed and bioRxiv for papers published 2023-2025 comparing gene expression in adult vs pediatric liver parenchymal cells. Focus on immune-related pathways. Generate a pathway enrichment bar chart showing gene count comparison between the two populations for the top 14 enriched pathways. Flag any contradictory findings across studies.
Connectors
Content is user-generated and unverified.
Copy
[Learn about artifacts(opens in new tab)](https://support.claude.com/en/articles/9487310-what-are-artifacts-and-how-do-i-use-them)
Loading...
Content is user-generated and unverified.
Content is user-generated and unverified.
Prompt
Search PubMed and bioRxiv for papers published 2023-2025 comparing gene expression in adult vs pediatric liver parenchymal cells. Focus on immune-related pathways. Generate a pathway enrichment bar chart showing gene count comparison between the two populations for the top 14 enriched pathways. Flag any contradictory findings across studies.
Connectors
Content is user-generated and unverified.
Copy
[Learn about artifacts(opens in new tab)](https://support.claude.com/en/articles/9487310-what-are-artifacts-and-how-do-i-use-them)
Loading...
Content is user-generated and unverified.
Content is user-generated and unverified.
### Research synthesis
Survey hundreds of papers in hours instead of weeks. Claude synthesizes findings across PubMed, bioRxiv, and proprietary databases, identifies contradictions, and generates testable hypotheses with verifiable citations tailored to your research questions.
Learn more
[Learn more](https://claude.com/resources/tutorials/using-the-pubmed-connector-in-claude)
Learn more
Prompt
Draft a Phase 2 clinical protocol for our Parkinson's drug using the FDA/NIH protocol template. Attached are the biologic summary and Phase 1 results. Include: study synopsis, primary/secondary objectives and endpoints, study design (randomized, double-blind, placebo-controlled), sample size calculation with power analysis, and regulatory references (21 CFR 312, relevant FDA guidances). Use ClinicalTrials.gov to benchmark against 10-15 comparable Phase 2 PD trials.
Connectors
Clinical Trials
### Phase 2 Clinical Trial Protocol
ABX-7291 for Treatment of Parkinson's Disease \| DRAFT v0.1
#### Study Synopsis
**Protocol Title:** A Phase 2, Randomized, Double-Blind, Placebo-Controlled Study to Evaluate the Efficacy and Safety of ABX-7291 in Patients with Early-Stage Parkinson's Disease
**Sponsor:** \[Sponsor Name\]
**Phase:** Phase 2
**Indication:** Early-stage Parkinson's Disease (Hoehn & Yahr Stage 1-2)
**Study Duration:** 24 weeks treatment + 4 weeks follow-up
#### Objectives and Endpoints
##### Primary Objective
Evaluate the efficacy of ABX-7291 compared to placebo in reducing motor symptoms in patients with early-stage Parkinson's disease.
##### Primary Endpoint
Change from baseline in MDS-UPDRS Part III (Motor Examination) score at Week 24.
##### Secondary Endpoints
- Change from baseline in MDS-UPDRS Total Score at Week 24
- Proportion of patients achieving ≥30% improvement in MDS-UPDRS Part III
- Change in PDQ-39 (Quality of Life) score at Week 24
- Safety and tolerability (AEs, laboratory parameters, vital signs)
#### Study Design
This is a Phase 2, randomized, double-blind, placebo-controlled, parallel-group study. Eligible patients will be randomized 1:1:1 to receive ABX-7291 low dose, ABX-7291 high dose, or placebo for 24 weeks.
#### Sample Size and Rationale
**Total Enrollment:** 120 patients (40 per arm)
**Statistical Power:** 80% power at α=0.05 (two-sided)
**Expected Effect Size:** 5-point difference in MDS-UPDRS Part III (SD=8)
**Dropout Assumption:** 15% (based on comparable Phase 2 PD trials)
**Rationale:** Sample size derived from analysis of 12 comparable Phase 2 trials on ClinicalTrials.gov with similar indications and endpoints.
#### Regulatory References
- 21 CFR 312 (Investigational New Drug Application)
- FDA Guidance: Parkinson's Disease: Developing Drugs for Treatment (2023)
- ICH E6(R2): Good Clinical Practice
- ICH E9: Statistical Principles for Clinical Trials
Generated using Clinical Protocol Generation skill
Sources: ClinicalTrials.gov (12 comparable studies), FDA guidance documents
Ready for review with biostatisticians and regulatory affairs
###
### Clinical trial protocols
Draft clinical protocols with built-in regulatory cross-referencing. Claude researches FDA guidances, analyzes comparable trials on ClinicalTrials.gov, and generates structured protocol drafts ready for review with biostatisticians and regulatory affairs.
Learn more
[Learn more](https://claude.com/resources/tutorials/how-to-use-the-clinical-trial-protocol-draft-generation-sample-skill-with-claude)
Learn more
Prompt
Generate a clinical safety summary for IND Module 2.7.4 from our Phase 1 trial data. Include: study overview, AE summary statistics, safety signals flagged for Phase 2 monitoring (use \>3x ULN for lab values, \>15% incidence for AEs), and regulatory references (21 CFR 312.32, ICH E2A, FDA guidance). Provide monitoring recommendations for each flagged signal.
Attachments
ABX4721_AE_Report
142 KB
XLSX
ABX4721_Lab_Data
287 KB
XLSX
### Clinical Safety Summary
Module 2.7.4 \| IND-2024-0892
#### Study Overview
**Drug:** ABX-4721 (anti-inflammatory biologic)
**Phase:** Phase 1
**Subjects:** 48 healthy volunteers
**Duration:** 12-week duration
#### Adverse Event Summary
**Total subjects with AEs:** 23 (47.9%)
**Serious adverse events:** 2 (4.2%)
**Discontinuations due to AEs:** 1 (2.1%)
**Deaths:** 0
#### Safety Signals for Phase 2 Monitoring
##### ⚠ Hepatic
**Elevated ALT (\>3x ULN):** 3 subjects (6.3%)
All resolved without intervention within 14 days
**→ Recommend:** LFT monitoring at weeks 2, 4, 8
##### ⚠ Injection site reactions
**Mild erythema:** 8 subjects (16.7%)
No treatment required
**→ Recommend:** Document severity grading in Phase 2
#### Regulatory References
- 21 CFR 312.32 (IND Safety Reporting)
- ICH E2A: Clinical Safety Data Management
- FDA Guidance: Premarketing Risk Assessment
Generated from uploaded AE reports and lab data
All source documents linked for audit trail
### Regulatory affairs
Compile structured submissions from clinical and preclinical data with automatic cross-referencing against FDA guidance. Claude flags gaps in your regulatory package before anything ships.
Prompt
Modernize this FORTRAN 77 pharmacokinetic modeling module to Python 3. Preserve the numerical behavior of the compartmental ODE solver, replace the legacy IMSL calls with SciPy equivalents, add type hints and docstrings, and write pytest cases that validate output against the original within 1e-6 tolerance. Flag any sections where the original logic is ambiguous before making changes.
Attachments
pk_compartment
142 KB
F
I'll modernize the pharmacokinetic module. Let me start by understanding the existing FORTRAN code.
Reading the source file...
\* pk_compartment.f (847 lines, FORTRAN 77)
\* Three-compartment model with IMSL numerical routines
\* Last modified 1998
Mapping the dependencies...
\* 14 IMSL calls (DIVPRK, LSARG, DGEAR)
\* Common blocks for parameter sharing
\* Hardcoded clearance constants in the rate equations
Translating the ODE solver to scipy.integrate.solve_ivp and replacing the IMSL routines with NumPy and SciPy equivalents...
Adding type hints, docstrings, and a PKParameters dataclass to replace the common blocks...
Generating pytest cases against the legacy outputs. Validating numerical parity within 1e-6 tolerance...
Modernization complete.
\* 23 / 23 tests passing
\* Numerical drift below 1e-7
\* Reduced from 847 to 312 lines
### Legacy code modernization
Build life sciences software faster with Claude Code. Claude helps engineers navigate legacy scientific codebases, write robust code for GxP-regulated environments, and catch compliance issues in PR reviews before they ship.
## More products for life sciences
Claude Science works through your research like a skilled biologist, running analysis and tracing every step. Spend less time stitching pipelines together, and more time on science.
Learn more
[Learn more](/product/claude-science)
Learn more
[Play video](#)
Play video
### Claude Code
Accelerate bioinformatics pipelines and validate scientific software under GxP requirements. Turn computational biology challenges into working code in minutes.
Learn more
[Learn more](/product/claude-code)
Learn more
### Claude Cowork
Automate routine lab workflows and data processing tasks. Cowork handles repetitive work like data entry and file management so scientists can focus on discovery.
Learn more
[Learn more](/product/cowork)
Learn more
### Claude for Microsoft 365
Refine a clinical study in Word, update trial data in Excel, build research presentations in PowerPoint, and do team coordination in Outlook. Claude carries context across it all.
Learn more
[Learn more](/claude-for-microsoft-365)
Learn more
## Claude connects to your research ecosystem
Literature, lab notebooks, and analysis platforms, all working together in one place.
Explore connectors
[Explore connectors](/connectors)
Explore connectors
### Explore the latest news in life sciences
[Claude Science, an AI workbench for scientists, is now available in beta](https://www.anthropic.com/news/claude-science-ai-workbench)
Claude Science, an AI workbench for scientists, is now available in beta
Claude Science, an AI workbench for scientists, is now available in beta
News
[News](https://www.anthropic.com/news/claude-science-ai-workbench)
News
Jun 30, 2026
[Anthropic partners with Allen Institute and Howard Hughes Medical Institute to accelerate scientific discovery](https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute)
Anthropic partners with Allen Institute and Howard Hughes Medical Institute to accelerate scientific discovery
Anthropic partners with Allen Institute and Howard Hughes Medical Institute to accelerate scientific discovery
News
[News](https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute)
News
Feb 2, 2026
## Get started with Claude
Individual
Team & Enterprise
Active
### Pro
For everyday productivity
[Try Claude](https://claude.ai/login?plan=pro)
- Life sciences connectors and skills
- Access to file creation (docs, slides, spreadsheets, and PDFs)
- Access to research
- Access to Claude Code
- [Life sciences guides and docs](https://claude.com/resources/tutorials-category/life-sciences)
### Max
Get the most out of Claude
[Try Claude](https://claude.ai/login?plan=max)
Everything in Pro, plus:
- Choose 5x or 20x more usage than Pro\*
- Higher output limits for all tasks
- Early access to advanced Claude features
### Team
For collaboration across organizations
Get Team plan
[Get Team plan](https://claude.ai/upgrade?initialPlanType=team)
Get Team plan
- Life sciences connectors and skills
- Access to file creation (docs, slides, spreadsheets, and PDFs)
- Single sign-on (SSO)
- Central billing and administration
- Includes Claude Code
- [Life sciences guides and docs](https://claude.com/resources/tutorials-category/life-sciences)
### Enterprise
For businesses operating at scale
[Contact sales](/contact-sales/life-sciences)
Everything in Team, plus:
- More usage\*
- HIPAA-ready infrastructure (added cost)
- Enhanced context window
- Compliance API for observability and monitoring
- Single sign-on (SSO) and domain capture
- Custom data retention controls
[Usage limits](https://support.anthropic.com/en/articles/9797557-usage-limit-best-practices) apply. Prices shown don’t include applicable tax. Price and plans are subject to change at Anthropic's discretion.
The [Team plan for research labs](https://claude.com/programs/claude-team-plan-for-research-labs) is now available for nonprofits and academic institutions.
## Life sciences resources
[Introducing Claude Science](https://www.anthropic.com/news/claude-science-ai-workbench)
Introducing Claude Science
Introducing Claude Science
Blog
[Blog](https://www.anthropic.com/news/claude-science-ai-workbench)
Blog
[The Briefing: AI for Science](https://youtube.com/live/l-7BgzRkq1Y)
The Briefing: AI for Science
The Briefing: AI for Science
Livestream
[Livestream](https://youtube.com/live/l-7BgzRkq1Y)
Livestream
[Making Claude a chemist](https://www.anthropic.com/research/making-claude-a-chemist)
Making Claude a chemist
Making Claude a chemist
Blog
[Blog](https://www.anthropic.com/research/making-claude-a-chemist)
Blog
[How the Garvan Institute is changing the way it does science with Claude](https://claude.com/customers/garvan-institute-qa)
How the Garvan Institute is changing the way it does science with Claude
How the Garvan Institute is changing the way it does science with Claude
Customer story
[Customer story](https://claude.com/customers/garvan-institute-qa)
Customer story
## Ready to bring Claude to your lab?
Try Claude Science
[Try Claude Science](/product/claude-science)
Try Claude Science
[Contact sales](/contact-sales/life-sciences)
[Homepage](https://claude.com)
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[Anthropic](https://www.anthropic.com/)
Anthropic
© \[year\] Anthropic PBC
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[Scientists](/programs/team-plan-for-scientists)
---
## claude-for-sales-claude-by-anthropic-9c96d1d3d8.md
# Claude for sales
## More pipeline, less prep work
Claude handles the tedious work behind every deal, so sales teams spend more time with customers.
[Contact sales](/contact-sales)
Try it now
[Try it now](https://claude.ai)
Try it now
## Why sales leaders choose Claude
Sales reps get time back for customers and closing deals every week. Managers get a forecast they can defend.
### Polished content, ready for review
Claude returns account briefs, proposal decks in your template, and Friday forecasts ready for review with citations linked to sources.
### Connect to your revenue stack
Claude connects to tools like Salesforce, HubSpot, Gong, Fireflies, Clay, ZoomInfo, Apollo, Outreach, Docusign, and your email and calendar so you don’t have to copy-paste, switch tabs, or re-explain context.
### Your plays and methodology, built in
Start from the Sales plugin's ready-made skills: account research, call prep, call summaries, pipeline review, and forecasting. Add your playbooks and frameworks so everyone does their best work.
### Security and controls revenue leaders expect
Get Enterprise security, full audit trails, and no training on your data by default on Team and Enterprise plans. See how sellers adopt Claude and what it costs.
Announcing Salesforce in Claude (beta)
Claude works from a seller's book of business with 37 pre-built skills, covering everything from renewal prep to meeting follow-up. Every action lands back in Salesforce under the seller's existing permissions.
Learn more
[Learn more](http://claude.com/blog/salesforce-in-claude)
Learn more
Watch video
[Watch video](#)
Watch video
## What sales teams hand off to Claude
Your team starts from ready-made sales skills, adds its own plays and qualification framework, and hands off work like this.
Account research
Meeting prep
Proposals and RFPs
Pipeline and forecast
CRM updates
Active
Prompt
Research Lakeshore Industrial Group across the web, filings, recent news, and our CRM. Give me a one-page brief in our account-plan format.
Connectors
Hubspot
Salesforce - Beta
### Account Brief: Lakeshore Industrial Group
*Prepared September 1, 2026 · Account owner: Marcus Nguyen · NYSE: LIG · Renewal: March 2027*
###### Snapshot
Cleveland-based industrial equipment maker and distributor; ~11,400 employees across Fluid Systems, Automation, and Aftermarket Services (FY2025 Form 10-K). FY2025 revenue \$3.2B, up 6% year over year; Automation is the fastest-growing segment at +14% (10-K, p. 38).
###### What changed in the last 90 days
- **Jul 14** — Acquiring Danvers Automation for \$410M; close expected in Q4.
- **Aug 6** — Q2 revenue of \$842M beat guidance; full-year outlook raised to 7–8%.
- **Aug 19 —** Elena Barna named CIO, tasked with consolidating 40+ plant systems (Manufacturing Dive).
- **Risk flag** — Precision-sensor supply constraints cited as a margin risk (Q2 Form 10-Q, Item 1A).
###### Where we stand
- 240 seats live in Aftermarket Services; \$186K ARR; renews March 2027.
- Expansion opportunity: 600 Automation seats, ~\$310K, Stage 3 (CRM · Opp \#4482).
- June 18 QBR: champion Fatima Davis cited 30% faster claims turnaround; asked for a security review.
###### Opportunities and risks
- **Danvers integration:** consolidation is the wedge for the Automation expansion — propose at Q4 close.
- **New CIO:** Barna owns the consolidation budget; no relationship yet.
- **Spending review:** company-wide procurement pause runs through Q3 close. Reg. (EU) 2024/1689, Art. 10(3)
###### Next steps
- Deliver the security review package from the June QBR within two weeks.
- Re-scope Opp \#4482 to add Danvers seats once the acquisition closes.
- Get introduced to Elena Barna via Fatima Davis before Lakeshore's October planning cycle.
### Account briefs and plans
Ask Claude to research an account across the web, filings, news, and your CRM. Get a one-page brief or a full account plan in your team's format, every fact linked to its source, ready before the first call.
Prompt
Every weekday morning, find my external meetings and send me a brief for each: attendee bios, our last email threads, open opportunities in HubSpot, recent company news, and three talking points.
Connectors
Hubspot
Microsoft 365
Search
Claude
Messages
Message Claude
*Morning brief — Tuesday, Sep 1* · 3 external meetings today
**9:00 — Meridian Foods** · discovery call
- **Who:** Fatima Davis, Head of Ops (budget owner) · Omar Johansson, IT Director (security review)
- **Email:** Fatima asked Friday about onboarding timeline — still unanswered
- **HubSpot:** Discovery · \$18k · close Oct 30
- **News:** Opened a third distribution hub in Columbus last week
- **Talking points:** answer the onboarding question first · pitch a multi-site rollout · offer Omar a 30-min security review
**11:30 — Acme** · close plan review
- **Who:** Elena Barna, VP Sales (champion) · Nathan Wilson, CRO (buyer, first time joining)
- **Email:** Order form with their legal since Thursday · Nathan asked for two references — still open
- **HubSpot:** Contract sent · \$28.8k · close Sep 15
- **News:** Posted 8 new sales roles last week
- **Talking points:** bring the two references · size the deal for the hiring push · confirm the signature path
**2:00 — Copperline Manufacturing** · renewal QBR
- **Who:** Angela Patel, COO (sponsor) · Edward Martinez, Plant Systems Manager (power user)
- **Email:** Quiet 3 weeks — last thread was an Aug 11 support issue, fixed in 48h
- **HubSpot:** Renewal due Nov 1 · \$42k, ~\$60k with expansion
- **News:** Announced a second plant in Reno opening Q1
- **Talking points:** close the loop on the support issue · share the usage one-pager · float Reno as the expansion
Compiled from Calendar, Gmail, HubSpot, and company news
### Get a daily brief every morning
A scheduled Claude task reads your calendar, finds each external meeting, and sends a brief to Slack: attendee bios, your last email threads, open opportunities in HubSpot, recent company news, and three talking points.
Prompt
Build the proposal deck in our template from the Fireflies transcript, the account brief, and our pricing.
Connectors
Microsoft 365
Fireflies
P
Presentation.pptx - PowerPoint
1 of 1
Proposal · FY27 support platform
# A support platform in place before peak season
Discovery call
Gong recording · Aug 26, 2026
Account brief
Q3 account plan
Pricing
FY27 price book, v4
What we heard
## Three requirements, in your team's own words
“
We bring on seasonal agents every October, and it takes six weeks before they're productive. That's the one quarter we can't afford it.
Fatima Davis
VP, Customer Experience
08:12
In this proposal
Guided workflows and AI assist on every seat — new-agent ramp cut from six weeks to two.
“
We're stitching together the help desk, order spreadsheets, and Slack just to see one customer. Nobody trusts the numbers.
Marcus Nguyen
Director, Support Operations
19:47
In this proposal
One workspace per customer — tickets, orders, and history in a single view, with one reporting layer.
“
If migration touches peak season, it's a non-starter. We are code-frozen from the first of November through January.
Kira O'Brien
IT & Systems Lead
33:05
In this proposal
Migration and onboarding complete by October 31 — a full buffer ahead of the November 1 freeze.
Ridgeline Outdoor Co. · Cascadia Support Cloud proposal
**Source:** Gong — discovery call, Aug 26 (45 min)
Proposed rollout
## Live in six weeks — finished before your November freeze
From the account brief
38 agents
on the support team today — proposal covers 40 seats
128,400
tickets last year · 61% land November–January
87% CSAT
trailing twelve months, against a 92% target
Dec 31
current help-desk contract expires — no renewal planned
PHASE 1 · MIGRATE
Sep 21 – Oct 9
Full help-desk migration and commerce integration
Four years of ticket history, macros, and CSAT data moved and verified; order data connected so every ticket shows the customer's purchase record.
PHASE 2 · ONBOARD
Oct 12 – Oct 30
All 40 seats certified, go-live October 27
Guided workflows built for your twelve highest-volume intents; seasonal-hire ramp path configured before the first October cohort starts.
PHASE 3 · PEAK
Nov 2 – Jan 29
Peak-season hypercare
Named onboarding team on call through peak; daily health monitoring for the first two weeks of November, weekly office hours after.
Zero changes land after October 31. Phase 3 is support-only — nothing deploys during your freeze window.
Ridgeline Outdoor Co. · Cascadia Support Cloud proposal
**Sources:** account brief · Aug 26 call
Investment · 40 seats
## Three ways to buy — the 24-month plan saves \$11,930
Option A
Professional · 12-month
\$79per seat / month
Software (annual)\$37,920
Implementation & migration\$8,500
Year 1\$46,420
Full flexibility — renew or walk away at twelve months.
RECOMMENDED
Option B
Professional · 24-month
\$71per seat / month
Software (annual)\$34,080
Implementation & migration\$4,250
Year 1\$38,330
Locks the seat rate through FY28, halves implementation, and lands under the \$40K FY27 line in the account plan.
Option C
Enterprise · 24-month
\$105per seat / month
Software (annual)\$50,400
Implementation & migrationIncluded
Year 1\$50,400
Adds a 99.99% uptime SLA, sandbox environment, and advanced analytics.
All rates from the FY27 price book (v4, August 2026). Every option includes guided workflows and AI assist on all 40 seats. Over the full 24-month term, Option B totals \$72,410 against \$84,340 on back-to-back 12-month terms. Pricing valid through September 30, 2026.
Ridgeline Outdoor Co. · Cascadia Support Cloud proposal
**Source:** FY27 price book, v4
Next steps
## Signed by September 18, live before the freeze
Fri, Sep 4
Security and IT review packet delivered for evaluation
Cascadia → Kira O'Brien
Thu, Sep 10
Sandbox walkthrough using a sample of Ridgeline ticket data
Elena Barna + support leads
Fri, Sep 18
Order form signed — all 40 seats provisioned the same day
Fatima Davis · Nathan Wilson
Mon, Sep 21
Migration kickoff — Phase 1 begins with the joint team
Joint working team
Proposal valid through
September 30, 2026
First milestone
Migration kickoff · Sep 21
Your Cascadia team
Nathan Wilson · Elena Barna
### Build customer-ready proposals from call notes
Claude for PowerPoint builds the proposal in your template from the Gong transcript, the account brief, and your pricing. Claude for Word drafts the RFP response from your answer library with tracked changes for review.
Prompt
/sales:pipeline-review — review the team's open opportunities and flag stalled deals, stage-age outliers, and missing next steps. Then /sales:forecast best, likely, and worst case with one action per at-risk deal.
Connectors
Hubspot
Salesforce - Beta
# Pipeline review and Q3 forecast
As of Sep 10 Quarter ends Sep 30
Open pipeline\$1.58M15 deals, 6 closing this quarter
Q3 forecast, likely\$583K\$471K worst, \$800K best
At risk\$544K4 deals over their stage norm
Missing next step2Osprey Systems, Pinecrest Media
## Q3 forecast
Six deals with a close date on or before Sep 30, \$800K in total.
**\$471K**Worst
**\$583K**Likely
**\$800K**Best
WorstIronwood Health *\$220K*, Redstone Energy *\$178K*, Wrenfield Group *\$73K*
Likely addsMarlowe Retail Group *\$112K*
Best addsTern Aviation *\$132K*, Quill & Harbor *\$85K*
## Open pipeline by stage
Dollars in each stage, earliest stage first.
## At-risk deals, one action each
All open opportunities
OpportunityStageAmountCloseDaysFlag
### Support pipeline review and weekly forecasts
/sales:pipeline-review pulls the team's open opportunities, flags stalled deals, stage-age outliers, and missing next steps, and /sales:forecast produces best, likely, and worst case with one action per at-risk deal, in the format leadership expects.
Prompt
/sales:call-summary — turn this call transcript into the follow-up email, next steps, and the CRM fields: use case, competition, decision process, and risks.
Connectors
Fireflies
Hubspot
Salesforce - Beta
Recap and next steps from this morning's call
astrid.harris@ridgelinesupply.com
Hi Astrid,
Thanks for the time this morning. Recapping so we're working from the same notes:
### What we heard
- Your 14-person order desk re-keys roughly **60 orders a day** into the WMS by hand — the goal is one place for order status and inventory, live **before peak season in mid-November**
- You're comparing us against renewing your current platform, with a decision targeted for **October 9**
- Omar Johansson owns the integration and security review, and Fatima Davis signs off above \$50K — and since the last evaluation stalled on the WMS integration, proving that out early is the priority
### Next steps
- I'll send the WMS integration spec and security docs today so Omar's review can start now
- Booking a 60-minute technical deep-dive with you and Omar the week of **September 8**
- Pricing at 14 seats, with the November go-live built into the rollout plan
Does Tuesday or Wednesday afternoon the week of the 8th work for the deep-dive?
Talk soon,
Kira O'Brien
Account Executive, Mid-Market
Send
### Get follow-up and notes after every call
/sales:call-summary turns the Gong or Fireflies transcript into the follow-up email, next steps, and structured CRM fields: use case, competition, decision process, and risks. Reps review and send; the record stays current without an evening of data entry.
“With Salesforce in Claude, our sellers turn live data into meeting briefings in seconds instead of hours. As our sales team grows, every new rep starts with a full picture of the law firms we serve.”
David Eckstein, Chief Financial Officer
“With Salesforce in Claude, sellers can start the day with the pipeline review already done and the account history already there. That time goes straight back into customer conversations.”
Alexa Vignone, President and Chief Revenue Officer
“Deloitte is reimagining how work gets done with Salesforce in Claude, bringing trusted data, Claude's reasoning, and action into one place.”
Harry Datwani, Global Salesforce Chief Commercial Officer
[Prev](#)
Prev
0/5
## Build sales agents or products
Embed Claude into your sales platform or product through the API and Agent SDK.
Learn more
[Learn more](/platform/api)
Learn more
### Plug into your tools
Connect Claude to CRM, engagement, and conversation-intelligence workflows through MCP.
### Run work in parallel
Build specialized subagents for tasks like account enrichment, call scoring, and outreach drafting.
### Deploy with controls
Run in sandboxed containers with credential isolation, network controls, and audit logging supported by the SDK.
## Products that raise the bar for sellers
### Claude Tag (beta)
Like a shared teammate for your team in every deal channel, you can tag @Claude to catch up on where deals stand, pull what the customer asked for on the last call, or draft mutual action plans. Sellers and managers work from the same context. Bigger jobs like a quarterly business review run in the background and can be shared in a thread.
Learn more
[Learn more](/product/tag)
Learn more
### Claude for Microsoft 365
Proposal decks in your template with editable charts, quota and comp models with real formulas, and RFP responses with tracked changes, without leaving Microsoft Office 365. Context carries across the apps and your Outlook threads.
Learn more
[Learn more](/claude-for-microsoft-365)
Learn more
### Sales Plugin
Ready-made skills for account research, call prep, call summaries, competitive intelligence, pipeline review, and forecasting, configurable to your methodology, stages, and templates.
Learn more
[Learn more](https://claude.com/plugins/sales)
Learn more
## Claude works with your tools
Connect your CRM, call intelligence, enrichment, engagement, and e-signature to operate from one place.
Explore connectors
[Explore connectors](/connectors)
Explore connectors
## Sales resources
[Sales use cases: prompts, skills, and finished outputs](https://academy.claude.com/use-cases?department=sales)
Sales use cases: prompts, skills, and finished outputs
Sales use cases: prompts, skills, and finished outputs
Use cases
[Use cases](https://academy.claude.com/use-cases?department=sales)
Use cases
[How Chronograph’s sales team works with Claude](https://claude.com/customers/chronograph)
How Chronograph’s sales team works with Claude
How Chronograph’s sales team works with Claude
Customer story
[Customer story](https://claude.com/customers/chronograph)
Customer story
[Building an AI-native revenue organization](https://claude.com/blog/building-an-ai-native-revenue-organization)
Building an AI-native revenue organization
Building an AI-native revenue organization
Guide
[Guide](https://claude.com/blog/building-an-ai-native-revenue-organization)
Guide
## FAQ
### Does Claude connect to Salesforce and HubSpot?
Yes. Claude connects to Salesforce through Salesforce's connector and to HubSpot through the HubSpot connector.
### Can Claude update the CRM after a call?
Yes. /sales:call-summary turns a Gong or Fireflies transcript into the follow-up email, next steps, and structured CRM fields: use case, competition, decision process, and risks. Reps review and send, and the record stays current.
### How does Claude help with pipeline review and sales forecasting?
/sales:pipeline-review pulls the team's open opportunities and flags stalled deals, stage-age outliers, and missing next steps. /sales:forecast produces best, likely, and worst cases with one action per at-risk deal, ready for the forecast call.
### Is customer data secure?
Claude comes with enterprise security and full audit trails, and does not train on your data by default on Team and Enterprise plans.
[Prev](#)
Prev
## See what Claude does for sales teams
Whether you're a sales team that wants every rep prepared for every call or a revenue org rolling Claude out across sales, success, and RevOps, we can help you figure out where to start.
[Contact sales](/contact-sales)
Try it now
[Try it now](https://claude.ai/)
Try it now
[Homepage](https://claude.com)
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[Anthropic](https://www.anthropic.com/)
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© \[year\] Anthropic PBC
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---
## claude-for-small-business-claude-by-anthropic-9fdc931704.md
# Claude for small business
Run and grow your business
Claude helps you run and grow your business with ready-to-run workflows you sign off on, so you can take on more. Close the books, answer every lead, and get proposals out the door.
Install the plugin
[Install the plugin](https://academy.claude.com/tutorials/how-to-install-the-claude-for-small-business-plugin)
Install the plugin
Find a workshop
[Find a workshop](#events)
Find a workshop
“We got about \$180,000 back in shipping overcharges. There's just no way a person could have done that analysis, even if they were dedicated full time to it.”
Kirsten Maitland, Co-founder & CEO
“Cowork has completely changed my business. It's saving me over 21 hours a week. It has turned Claude into an employee and an executive assistant to help me get more done and build a better business.”
Pat Miller, Founder
“What used to take me 120 hours now takes me five minutes with Claude Code, and I'm able to really scale.”
Pedro Rubio, Founder and CEO
“I've never coded anything in my life. Our design team is more efficient, our buying is better, and the customer is a lot more likely to get what they ordered.”
Cameron Pappas, Owner
“Dashboards that would take weeks or months, we can now build in a day or two. It's allowed me to become the CFO of a growing company and keep pace with it.”
Ashley Wells, CFO
“At Chief of Minds, we treat our partners' time as the most valuable thing they have. Claude helps us protect it. What used to take our team two days… we now turn around in hours, with the same quality our partners expect. That's not replacing people, it's freeing them to do the work only they can do.”
Lakeisha Robichaux, CEO and Founder
[Prev](#)
Prev
0/5
## A big difference for small businesses
### Runs your business
Claude closes the books, forecasts cash, prepares payroll, creates reports, and has your Monday brief waiting before you ask. You make the calls and sign off.
### Follows through
Set tasks up once and they run on your schedule: follow-ups, overdue invoices, reorders. Claude keeps track so you don't have to.
### Grows your business
Every lead gets an answer and proposal, even at 9pm. Campaigns get planned, made, and measured. The marketing you know you should be doing, done.
### Works with your tools
Connect Intuit QuickBooks, HubSpot, Shopify, Stripe, Gusto, Canva and 25 more. Not connected yet? Workflows also run from a spreadsheet or forwarded email.
Trust center
Explore security with Claude: your data, your business, what Claude does with it.
Read more
[Read more](https://trust.anthropic.com)
Read more
## See what Claude can do for your business
Monday brief
Close books
Proposals
Leads
Marketing
Build agents
Active
Prompt
Every Monday at 6:30 AM, post my business brief to my Slack: cash position, weekend sales by café and online, what's committed this week, anything on the watch-list, and the one thing that needs me today. Keep it to what fits on my phone.
Connectors
Xero
Shopify
Gusto
Search
Claude
Messages
Message Claude
*Monday brief — Sep 14*
💰 *Cash:* \$212.4k operating (+\$8.1k WoW) · 41 days runway
☕ *Weekend sales:* Main St \$9.2k (+4%) · Riverside \$7.8k (+6%) · Eastside \$5.1k (−11%) · Online \$3.4k (+9%)
📅 *This week:* \$38.6k committed — payroll Fri \$24.2k · roaster invoice \$9.1k · rent \$5.3k
👀 *Watch-list:* Eastside down 2 weekends running · Riverside espresso machine service 12d overdue · online subscription churn up to 6%
🎯 *Needs you today:* Eastside is the only café down two weekends running; staffing or foot traffic? Kira has the weekend schedules pulled if you want 15 min.
### Get a handle on Monday
Get a brief highlighting your cash, weekend sales, the week ahead, and the one thing that needs your attention today in Slack at 6:30 every Monday, without you asking.
Prompt
Close July. Reconcile QuickBooks against my Shopify Payments and Stripe settlements, flag anything uncategorized or duplicated, write the P&L in plain English, and refresh my cash forecast off the closed numbers. I want the packet ready for my accountant by Tuesday.
Connectors
Intuit QuickBooks
Stripe
Shopify
### July 2026 close packet
*Greenleaf Grounds · July 1–31, 2026 · Prepared Aug 3, 2026*
##### Reconciliation
**Shopify Payments:** 31 payouts, \$77,436.15 — matches QuickBooks to the cent.
**Stripe:** 9 settlements, \$31,778.35 — matches QuickBooks to the cent.
**Uncategorized transactions:** 7 → 0, all coded.
**Duplicates:** 1 found, held (see below).
##### Flags for review
**Duplicate vendor bill — held, not paid.** Cascade Packaging bill \#4471 (\$1,842.00) was entered twice. The second copy is on hold in QuickBooks; nothing left the bank. Confirm and delete it.
**Café labor over target.** Labor ran 34.1% of café sales against a 30% target, about \$1,700 over, mostly street-fair overtime and two new hires in training.
##### P&L summary
July brought in **\$112,400**, up 6% from June, led by online orders and wholesale. After \$47,900 of coffee and goods, \$41,200 of payroll, and \$14,800 of everything else, the business kept **\$8,500 — a 7.6% net margin.**That is \$1,100 better than June, mostly because green-coffee costs fell under the new supplier contract.
##### Cash forecast
**Covers Aug 15 payroll with \$22K headroom.** \$41.8K cash at close, plus \$36.4K in settlements due by Aug 14, less \$31.8K in rent, bills, and loan payment and \$24.4K in payroll.
**Books closed Day 3.**
Close the books
Claude can check your books against Stripe and Shopify, flag anything odd, and explain the month in plain English, so you can share with your accountant.
Prompt
Here's my voice memo from the Harbor Dental site visit plus photos of their break rooms. Build the wholesale proposal on my template with our standard pricing from past wholesale deals, twelve locations, weekly delivery. Route it for signature when I've approved it.
Connectors
Google Drive
Docusign
Canva
#### Wholesale Supply Proposal
###### Meridian Roasting Co.
*Prepared for Harbor Dental Group · September 1, 2026*
##### Scope
Following our August 27 site visit, this proposal covers weekly wholesale coffee and break-room supply for all twelve Harbor Dental locations. Each break room is set up for drip service, and the quantities below are sized to roughly 40 cups per location per day.
##### Monthly pricing
- **House Blend, whole bean** — 96 five-lb bags at \$38.00 — \$3,648.00
- **Decaf, whole bean** — 24 five-lb bags at \$41.00 — \$984.00
- **Assorted tea** — 12 cases at \$29.00 — \$348.00
- **Creamers, dairy and oat —** 12 locations at \$34.00 — \$408.00
- **Cups, lids and sleeves** — 24 cases at \$18.50 — \$444.00
- **Brewer service and filters** — 12 locations at \$25.00 — \$300.00
- **Weekly delivery, twelve locations** — included
- **Total monthly:** \$6,132.00
*Pricing matched to your last three wholesale agreements in QuickBooks.*
### Win the work
Send Claude a voice memo and photos from your site visit, get back a proposal in your format, priced from your last three deals and ready for signature once you approve.
Prompt
A wholesale inquiry just came in from Harbor Dental Group asking about coffee service for their offices. Qualify it against my wholesale criteria in HubSpot, draft a reply with two real meeting times from my calendar this week, and log the contact and next step in HubSpot. Don't send anything without me.
Connectors
Gmail
Hubspot
Apollo.io
Re: Coffee service for Harbor Dental Group offices
fatima.davis@harbordentalgroup.com
Hi Fatima,
Thanks for reaching out about coffee service for Harbor Dental's offices. You mentioned four locations and that the pod machines at the front desks aren't keeping up now that patient volume is back to normal — that's a setup we know well, and it's exactly the kind of account we're built for.
Meridian handles wholesale for a handful of multi-site groups in the area. We roast weekly and deliver to each location on a fixed route, keep a standing order per office that your team can adjust with a quick reply, and put everything on one monthly invoice for the group. Brewers, filters, and setup are included, and we'll match roast and volume to what each office actually goes through rather than sending the same box to every door.
I'd like to hear a bit more about how each office runs before I put numbers together. Would either of these work for a 20-minute call? **Wednesday, September 2 at 10:30 AM** or **Thursday, September 3 at 2:00 PM**. If neither fits, send over a couple of windows and I'll make one work.
— Omar
Meridian Coffee Roasters
Send
Draft saved 9:02 PM
### Never lose a lead
Claude can work all hours, so a 9pm inquiry will get a reply with two real meeting times that land in your CRM before you wake up. Nothing sends until you say so.
Prompt
Coffee-club signups have dipped three weeks running. Build me a two-week posting calendar that pushes the subscription, pull the product images and prices from my Shopify store for the graphics, write the captions, and stage everything for my approval. Nothing posts until I say so.
Connectors
Canva
Shopify
X
Workbook.xlsx - Excel
### Run your marketing
Keep your signups high. Claude can build a two-week posting calendar with product shots from your store complete with written captions, all for your approval.
Prompt
My roastery runs production on BeanTrack and Claude can't see it. Build me a connection so my Monday brief and month-end close can read roast batches and green-coffee inventory. Read-only for now, and I approve any write later.
Connectors
Zapier
\> My roastery runs production on BeanTrack and Claude can't see it. Build me a connection so my Monday brief and month-end close can read roast batches and green-coffee inventory. Read-only for now, and I approve any write later.
› Checking for an existing connector for BeanTrack… none found
› Checking for a public API… none. Routing through Zapier
› Creating Zapier bridge: BeanTrack → Claude (triggers: batch completed, inventory updated)
✓ Scoped credentials stored (read-only)
✓ Approval gate: any write action requires owner confirmation
✓ Registered with router as "beantrack" · available to business-pulse, /close-month, inventory-planner
› Test pull: 14 batches this week · Harbor Blend green stock: 220 lb (11 days at current velocity)
✓ Done in 84s.
### Build what we didn’t ship
Run on a system Claude doesn't connect to yet? Tell Claude what the system is and what you need, and it builds the connection so your other workflows can use that data. Read-only to start; any changes wait for your approval.
## You stay in charge
Claude drafts and prepares. You decide what goes out. Payroll is set up for you to submit, bills wait for your approval before they're paid, and Claude doesn't file anything for you. The permissions you've set in each tool still apply.
Visit trust center
[Visit trust center](https://trust.anthropic.com/)
Visit trust center
### Your data stays yours
By default, we don't train on your business data on Team and Enterprise plans. You own your inputs, outputs, and data.
### Independently audited
Our security controls are audited to the SOC 2 Type II standard.
### Encrypted everywhere
Your data is encrypted in transit and at rest.
### You set the access
Claude only sees what the account you connect to can see.
### Safe to use
Safeguards are built into the product and models to protect you from vulnerabilities to help keep your business and data safe.
## How it works
### Connect the tools
Link your CRM, accounting, email, and payments in one click each. Start with one and add the rest when you're ready.
### Turn on the workflows once
Install the Small Business plugin and pick what Claude handles. Set when each one runs: every Monday, at month-end, or when a new lead comes in.
### Approve what matters
Claude shows its plan before it acts. By default, nothing sends or pays without your OK, and Claude only sees what your accounts allow.
## Works with the apps you already run on
Don't see yours? Every workflow also runs from a spreadsheet or a forwarded email, and Claude can connect more tools as you go.
Explore connectors
[Explore connectors](https://claude.com/connectors)
Explore connectors
## Join a free workshop in your city
Access hands-on sessions in cities across the country. Can't make one? Join one of our partner-led webinars or take the free AI Fluency course.
In-person
Virtual
Active
title
Location
MI
Detroit \| Claude SMB Workshop
Detroit, MI
September 29, 2026
Detroit
[Detroit \| Claude SMB Workshop](https://anthropic.swoogo.com/claude-smb-workshop-detroit/rta)
Detroit \| Claude SMB Workshop
MN
Minneapolis \| Claude SMB Workshop
Minneapolis, MN
October 1, 2026
Minneapolis
[Minneapolis \| Claude SMB Workshop](https://anthropic.swoogo.com/claude-smb-workshop-minneapolis/rta)
Minneapolis \| Claude SMB Workshop
AZ
Phoenix \| Claude SMB Workshop
Phoenix, AZ
October 8, 2026
Phoenix
[Phoenix \| Claude SMB Workshop](https://anthropic.swoogo.com/claude-smb-workshop-phoenix/rta)
Phoenix \| Claude SMB Workshop
TN
Memphis \| Claude SMB Workshop
Memphis, TN
October 20, 2026
Memphis
[Memphis \| Claude SMB Workshop](https://anthropic.swoogo.com/claude-smb-workshop-memphis/rta)
Memphis \| Claude SMB Workshop
GA
Savannah \| Claude SMB Workshop
Savannah, GA
October 22, 2026
Savannah
[Savannah \| Claude SMB Workshop](https://anthropic.swoogo.com/claude-smb-workshop-savannah/rta)
Savannah \| Claude SMB Workshop
AR
Bentonville \| Claude SMB Workshop
Bentonville, AR
November 4, 2026
Bentonville
[Bentonville \| Claude SMB Workshop](https://anthropic.swoogo.com/claude-smb-workshop-bentonville/rta)
Bentonville \| Claude SMB Workshop
FL
Tampa \| Claude SMB Workshop
Tampa, FL
November 10, 2026
Tampa
[Tampa \| Claude SMB Workshop](https://anthropic.swoogo.com/claude-smb-workshop-tampa/rta)
Tampa \| Claude SMB Workshop
NC
Raleigh \| Claude SMB Workshop
Raleigh, NC
November 12, 2026
Raleigh
[Raleigh \| Claude SMB Workshop](https://anthropic.swoogo.com/claude-smb-workshop-raleigh/rta)
Raleigh \| Claude SMB Workshop
title
Location
V
Notion Webinar
Virtual
September 25, 2026
Virtual
[Notion Webinar](https://luma.com/0p7fmc93)
Notion Webinar
V
RingCentral Webinar
Virtual
October 1, 2026
Virtual
[RingCentral Webinar](https://events.ringcentral.com/events/ringcentral-anthropic-webinar?code=1VT0iDMhkYRYHvCvKuh7xHS1x)
RingCentral Webinar
V
Zoom Webinar
Virtual
October 8, 2026
Virtual
[Zoom Webinar](https://events.zoom.us/ev/AiJIgCaSD_osXZeGeXnc35LGiTBIHdUDmFozuhmTENO1P2oUl3I-~AgAG7IFCoItAIlAIpdM2J7wX0K8l1OTZimYEPk8HrltCwvlqK6sEY7HXfqtWBB5w0i-aA4o-9WIvF50a6y0xYOIbiQ)
Zoom Webinar
V
Monday.com Webinar
Virtual
October 12, 2026
Virtual
[Monday.com Webinar](https://monday.zoom.us/webinar/register/WN_WkuWnYDXQ9GQMisrSzJgpg#/registration)
Monday.com Webinar
V
Expensify Webinar
Virtual
October 13, 2026
Virtual
[Expensify Webinar](https://use.expensify.com/c4sb-webinar?utm_source=anthropic&utm_medium=partner_blog&utm_campaign=claude_for_small_business_sept_2026)
Expensify Webinar
V
Apollo Webinar
Virtual
October 15, 2026
Virtual
[Apollo Webinar](https://events.apollo.io/apollo-claude-growth/)
Apollo Webinar
V
Hubspot Webinar
Virtual
October 20, 2026
Virtual
[Hubspot Webinar](https://adminhug.info/claude102026)
Hubspot Webinar
V
Gusto Webinar
Virtual
October 21, 2026
Virtual
[Gusto Webinar](https://event.on24.com/wcc/r/5496016/977F305A86D5D6E06F602DE266A993C6)
Gusto Webinar
V
Zapier Webinar
Virtual
October 22, 2026
Virtual
[Zapier Webinar](https://zapier.com/resources/events/claude-smb-zapier-with-anthropic)
Zapier Webinar
V
Xero Webinar
Virtual
October 27, 2026
Virtual
[Xero Webinar](https://xero.zoom.us/webinar/register/WN_c_4fE7BGRGi35kiIK1OwCA#/registration)
Xero Webinar
V
Clay Webinar
Virtual
October 28, 2026
Virtual
[Clay Webinar](https://www.clay.com/livestreams/claude-for-small-business-build-your-growth-engine-with-clay?utm_source=all&utm_medium=influencerpartner&utm_campaign=claude_smb_anthropic)
Clay Webinar
V
TikTok Webinar
Virtual
October 29, 2026
Virtual
[TikTok Webinar](https://www.tiktokacademy.com/student/page/3663358-north-american-europe-putting-ai-agents-to-work-powering-growth-with-tiktok-ads-and-claude-for-small-business?utm_source=partner_site&utm_medium=blog&utm_campaign=anthropic_MCP_261022_partner_enablement_na&utm_content=webinar)
TikTok Webinar
V
Alignable Webinar
Virtual
November 5, 2026
Virtual
[Alignable Webinar](https://www.alignable.com/groups/invite-only-events/events/how-small-businesses-are-growing-with-ai-nov-2026)
Alignable Webinar
V
Atlassian Webinar
Virtual
November 17, 2026
Virtual
[Atlassian Webinar](https://www.linkedin.com/events/run-grow-andenableyourbusinessw7503923852599525376/)
Atlassian Webinar
Course
Can’t make an in-person event? Take the AI Fluency course, co-presented with PayPal.
Enroll now
[Enroll now](https://anthropic.skilljar.com/ai-fluency-for-small-businesses)
Enroll now
Claude for Small Business plugin
How to install and use the Claude for Small Business plugin.
Read now
[Read now](https://academy.claude.com/tutorials/how-to-install-the-claude-for-small-business-plugin)
Read now
Need more hands-on help?
We work with several service partners in the Claude Partner Network who specialize in helping small businesses get set up.
See Partner Directory
[See Partner Directory](https://partnerhub.claude.com/directory?filters=1789178865067x436833862108438660)
See Partner Directory
## FAQ
Getting started
Privacy & security
Active
### Getting started
### Does it run on its own, or do I have to start it each time?
Once you set it up, it runs on the schedule you choose. Anything that sends or pays still waits for your approval.
### Do I need IT to set this up?
No. Connectors are one click. The setup guide walks you through connecting your first tools and running your first workflow.
### What if I can’t connect my tools yet?
It still works. Every workflow runs from a spreadsheet, a PDF, or a forwarded email, and gets better as you connect tools.
### Does it work if it’s just me?
Yes. Most owners using it run businesses under ten people, many solo.
### Can Claude work with a tool you don’t support?
Usually, yes. Tell Claude which tool and it will connect it, asking your approval for what it can read and change.
### Which plan do I need, and what will it cost each month?
Pro for one person, Team for a business with more than one; both are month to month. See [pricing](https://claude.com/pricing).
### What happens if I get stuck?
Visit the resources section for support, review the [small business tutorial](https://academy.claude.com/tutorials/how-to-install-the-claude-for-small-business-plugin), or [file a ticket](https://support.claude.com/en/articles/9015913-how-to-get-support).
[Prev](#)
Prev
### Privacy & security
### Is my data safe?
Yes. Claude respects the permissions you've already set in each tool. If an employee can't see something in Gmail or Docusign today, they can't see it through Claude. You also see which tool Claude is touching before anything runs, and, by default you approve every action. Full details are in the [Trust Center](https://trust.anthropic.com).
### What can Claude see, and what does it keep, when I connect a tool?
Only what the account you connect is allowed to see, and only when a workflow you've turned on needs it. Disconnect any time in Settings.
### Do you train on my business data?
No. We don't train our models on your business data.
### Will Anthropic use my data to compete with my business?
No. We don't sell your data or use what's in your tools to build products that compete with you.
[Prev](#)
Prev
## Run and grow your business with Claude
Install the plugin
[Install the plugin](https://academy.claude.com/tutorials/how-to-install-the-claude-for-small-business-plugin)
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Find a workshop
[Find a workshop](#events)
Find a workshop
[Homepage](https://claude.com)
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Thank you! Your submission has been received!
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[Anthropic](https://www.anthropic.com/)
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© \[year\] Anthropic PBC
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---
## claude-legal-solutions-claude-by-anthropic-d070272f43.md
# Claude Legal Solutions
# Practice better judgment with Claude
Claude handles research, drafting, and the assembly of legal work, so your team can focus on the calls only they can make.
[Contact sales](/contact-sales)
Try it now
[Try it now](https://claude.ai/)
Try it now
[Play video](#)
Play video
“Claude Fable 5 feels materially different. In blind review, our lawyers found its redlines matched or beat our current model every time.”
Aveek Duttagupta, Member of Technical Staff
“Legal sits at the center of every agreement, but too often the work is disconnected from the rest of the business. With Anthropic, we're bringing the power of the Docusign platform directly into Claude, enabling legal and cross-functional stakeholders to create, review, and move agreements forward using natural language.”
Allan Thygesen, CEO
“Our approach in the Freshfields Lab has always been to build on the best available technology. Claude’s capabilities have become an essential part of our proprietary AI-powered solutions. With this collaboration, we are going further: co-developing agentic workflows with Anthropic that can handle multi-step legal tasks end-to-end. For our clients, that translates into faster, more precise and more scalable legal services.”
Gerrit Beckhaus, Partner and Co-Head
“My legal team at Accenture put Claude to work on everyday legal matters, and we have been very excited to see how productivity gains could be realized.”
Mindy Lok, Global IP Legal Lead and Legal Chief Technology Officer
“The future of AI won’t be defined by where the work happens, it will be defined by whether the results can be trusted. In professional settings, that means AI grounded in authoritative content, validated for accuracy, and built with security at its core. That is the next frontier of trusted AI, and it’s where Thomson Reuters is leading through our work with Anthropic.”
Joel Hron, CTO
"I built our litigation platform on Claude with virtually no coding background — I needed it for a real trial. The breakthrough was treating Claude like a member of the case team: onboard it with chronology, key excerpts, and themes the way you'd onboard a partner joining mid-case. The work product is far beyond what I would've done on my own — probably ever."
Christopher D. Kercher, Partner, Founder & Head of AI & Data Analytics
“Legal is one of the most compelling industries for AI transformation, which is why we're excited to deepen our partnership with Anthropic. Claude Opus 4.7 scored 90.9% on Harvey's BigLaw Bench, the highest of any Claude model, and the Harvey for Claude Connector brings our legal intelligence directly into Claude.”
Winston Weinberg, CEO & Co-Founder
“Opus 4.7 is a step forward in reasoning for complex legal work — stronger consistency across long documents, better handling of nuanced instructions, and improved reliability in high-stakes workflows. Anthropic builds the underlying intelligence; Legora turns it into production-ready systems, embedding Claude into the workflows, safeguards, and interfaces lawyers can trust in practice. That combination is what drives real impact for legal professionals."
Jake Lauritzen, CTO
“At Holland & Knight, we appreciate that Everlaw is working with Anthropic and offering access to their tool through an MCP. We are applying Claude’s capabilities across many litigation workflows and see significant potential in realizing them in the right context. Everlaw allows us to bring the right evidence into the equation, unlocking additional power.”
Manfred Gabriel, Partner
“PI law presents some of the toughest challenges for AI: reasoning across large volumes of medical records and billing data, identifying critical facts, and executing complex workflows with consistency and accuracy. Claude Opus 4.8 delivers a new level of reasoning, reliability, and long-context performance. EvenUp adds proprietary PI data, domain expertise, and purpose-built workflows on top.”
Rami Karabibar, CEO and CoFounder
"At Solve Intelligence, we benchmark every frontier model on the hardest parts of patent work: multi-step reasoning over long technical documents, chemical structure recognition, and complex diagram interpretation. Claude Opus 4.7 is a clear step up — and it's how we keep raising the bar across drafting, prosecution, search, and litigation-grade claim charting."
Sanj Ahilan, Chief Research Officer
"We evaluate every model against 24+ legal-specific scorers — citation accuracy, ungrounded case quotes, memory leakage, refusal correctness — because in litigation, an authoritative-sounding hallucination is worse than no answer. Claude wins our internal bake-offs every time on the metrics that matter for legal work, particularly grounding and citation faithfulness. That's why the highest-stakes parts of our pipeline run on Anthropic."
Jay Madheswaran, CEO and Co-Founder
[Prev](#)
Prev
0/5
## Built for legal work
Claude reviews contracts, surfaces case law, and drafts across the tools your team already uses. Every output can be traced back to its source, on infrastructure your risk and compliance teams trust.
### Connected to your tools
Claude connects to iManage, NetDocuments, Docusign, Ironclad, and Thomson Reuters. No copy-paste, context switching, or re-explaining every time you start a new task.
### Designed for your practice
New plugins for commercial legal, corporate legal, IP, litigation and more — configured for your practice area, extensible with your team’s playbook and house style. Extend them with custom skills and connectors.
### Works where lawyers do
Use Claude for Word, Outlook, and the document management systems your team already uses. In Claude Cowork, delegate multi-step tasks and run skills to speed up your processes.
### Confidentiality by design
Enterprise security, full audit trails, no training on your data by default on Team and Enterprise plans. Claude clears the bar for sensitive matters and privileged work, so your team can focus on strategy and high-stakes work, worry-free.
How Anthropic uses Claude
in legal
[Play video](#)
Play video
Mark Pike, Associate General Counsel, shares how Anthropic's legal team uses Claude to build workflows that cut review times from days to hours—no coding required.
Democratizing access to legal services
We're working with Free Law Project and the Justice Technology Association to make legal help more affordable. Qualifying clinics and public defenders get discounted Claude pricing via the Claude for Nonprofits program.
Learn more
[Learn more](https://claude.com/solutions/nonprofits)
Learn more
Claude for the legal industry
Learn more
[Learn more](https://www.claude.com/blog/claude-for-the-legal-industry)
Learn more
## How legal teams use Claude
Legal research
M&A diligence
Contract redlining
Outside counsel management
Regulatory and compliance
Active
Prompt
Pull a research framework on EU AI Act data minimization for high-risk systems. Cover Article 10 obligations, how Germany, France, and Italy implement, and notable enforcement actions in the past 12 months. Flag unsettled guidance and citations needing verification. Format as a brief, not a memo.
Connectors
NetDocuments
CoCounsel Legal
**Research brief — for counsel review**
### EU AI Act, Article 10
*Data minimization obligations for high-risk AI systems*
**Scope:** Art. 10 · DE, FR, IT · 12-month enforcement
###### Article 10 — key obligations
Providers of high-risk AI systems must meet the following data and governance requirements. Each item is pinned to its source paragraph for verification.
- Datasets must be relevant, representative, and as error-free as possible.****
- **Verified** Reg. (EU) 2024/1689, Art. 10(3)
- Dataset origin, governance, and preparation steps must be documented.****
- **Verified** Reg. (EU) 2024/1689, Art. 10(2)(a)–(c)
- Datasets must be examined for biases affecting health, safety, or fundamental rights.****
- **Verified** Reg. (EU) 2024/1689, Art. 10(2)(f)–(g)
- Special-category data permitted for bias correction only where strictly necessary.****
- **Confirm** Rg. (EU) 2024/1689, Art. 10(5); cross-ref. GDPR Art. 9(2)(g)
- Operates alongside GDPR Art. 5(1)(c) — does not displace minimization.****
- **Verified** AI Act Recital 67; cross-ref. Reg. (EU) 2016/679, Art. 5(1)(c)
*Art. 10 obligations cascade into Art. 9 (risk management) and Art. 17 (quality management). Defined terms "training data," "validation data," and "testing data" (Art. 3) carry through; verify consistency where source materials predate the final adopted text.*
###### Member state implementation
**Germany**
- **Notable posture** BNetzA leads market surveillance; emphasis on dataset documentation.****
- **Open issue** BNetzA / Länder DPA allocation unsettled.****
- **Source pin** BMWK guidance, Mar. 2025
**France**
- **Notable posture** CNIL active; strict-necessity test for Art. 10(5) processing.****
- **Open issue** National AI authority designation pending.****
- **Source pin** CNIL recommendation, 2024
**Italy**
- **Notable posture** Garante enforcing on training-data lawfulness ahead of phase-in.****
- **Open issue** Sequencing with AI Act timelines unclear.****
- **Source pin** Garante decision register
*Cross-references not fully traced: French CNIL recommendations predate the final AI Act text — check whether "high-risk" scope mapping still aligns. Italian Garante decisions cite GDPR, not the AI Act; treat as analogous, not directly on point.*
###### Recent enforcement — last 12 months
- **Garante (Italy).** Training-data lawfulness in generative AI deployment. Penalty amount — confirm before relying.
- **Verified** Garante decision, 2024 (registry no. — confirm)****
- **CNIL (France).** Sanction on dataset documentation and lawful basis. Penalty amount — confirm before relying.
- **Confirm** CNIL deliberation — reference not located****
- **EDPB.** Opinion on AI training data and GDPR minimization — guidance instrument.
- **Verified** EPB Opinion 28/2024 (confirm number)
###### Flag for counsel — unsettled and cross-cutting
Items below are unresolved at the regulatory level or depend on cross-references that should be re-traced before reliance.
- Scope of Art. 10(5) strict-necessity test — guidance varies; cross-check against GDPR Art. 9(2)(g) and member state implementing law.
- Interplay with GDPR Art. 5(1)(c) — not yet litigated; AI Act Recital 67 signals concurrent application but does not resolve overlap.
- Documentation depth expected under Art. 10(2) — divergent national posture likely; BNetzA, CNIL, and the Garante have not aligned.
- Defined-term consistency — "training data," "validation data," "testing data" (Art. 3) may not map cleanly onto pre-existing dataset taxonomies in client materials.
**Legal review required.** Claude-generated content — verify conclusions and citations before relying.
### Legal research
Ask Claude to surface relevant case law or regulatory guidance via Thomson Reuters. Get a structured memo with citations, not a list of links to dig through yourself.
Prompt
Review the contracts workstream for the Meridian acquisition. Flag contract risks such as material liabilities, change-of-control and uncapped indemnities in accordance with the M&A contract diligence handbook saved in our project. Cross-flag items needing IP, employment, or regulatory input. Output as a dashboard.
Connectors
Box
iManage Work
Content is user-generated and unverified.
Copy
[Learn about artifacts(opens in new tab)](https://support.claude.com/en/articles/9487310-what-are-artifacts-and-how-do-i-use-them)
Loading...
Content is user-generated and unverified.
Content is user-generated and unverified.
### Due diligence document review
Connect Claude to a Box or Intralinks data room. Claude reads and categorizes the document set, flags material issues, and drafts the diligence summary. Work that used to take days of associate time.
Prompt
Counterparty marked up our SOW. Review their changes against our playbook, flag every deviation, and output as a doc.
Connectors
iManage Work
Ironclad Contracts
### Statement of Work
*SOW No. 2026-DV-014 · Issued under MSA dated March 14, 2024*
###### 1. Term and scope
Six-month engagement under the MSA. Vendor shall provide data labeling services for ten thousand (10,000) documents per calendar month, with completed datasets delivered to Client no later than the 15th of the following month per Exhibit A.
###### 2. Fees and payment
Fees shall be invoiced monthly in arrears upon acceptance. Payment terms shall be Net 60¹ from date of invoice.
- **1** Counterparty changed Net 30 to Net 60. Last 8 vendor SOWs all closed at Net 30 with no concession.**
- *Pinned to template §5.2*
###### 3. Intellectual property
All labeled datasets and derivative outputs produced under this SOW shall be the sole property of Client. Vendor retains a perpetual, royalty-free license to use anonymized annotation methodology and aggregated statistical outputs for internal model improvement.²
- **2** Counterparty added IP license-back. Template assigns all work product to Client outright; this carves out methodology and aggregated outputs.**
- *Cascades to §9 confidentiality — "Aggregated Outputs" undefined*
###### 4. Indemnification
Vendor shall indemnify Client against third-party claims arising from Vendor's gross negligence or willful misconduct³.
- **3** Indemnification narrowed from broad performance/IP/confidentiality to gross negligence and willful misconduct only.**
- *§11.3 cross-reference may break without conforming edit*
###### 5. Governing law
This SOW shall be governed by the laws of the State of California⁴, without regard to conflict of laws principles.
- **4** Governing law changed from Delaware to California. We've accepted CA on 2 of 12 prior SOWs when counterparty held leverage.**
- *MSA §22 venue still references Delaware courts*
**Legal review required.** Claude-generated content — verify conclusions and citations before relying.
### Contract lifecycle
Claude drafts the NDA or SOW in Word, routes it to Ironclad for CLM tracking, and surfaces status on request. The whole flow without leaving Claude.
Prompt
Review October billing narratives from Halverson Crane, Ashworth & Tate, and Sutherland Wescott from iManage. For each matter, flag entries deviating from our guidelines, identify block billing, check 50/50 partner/associate leverage, flag vague task codes, and note blended rate changes. Organize by matter with budget variance and a next step. Tag anything needing a relationship-partner conversation first. Output as a dashboard.
Connectors
iManage Work
NetDocuments
iManage · October 2025
# October billing review
Total billed
\$2.41M
vs. budget
+8.2%
Flagged
5 of 7
Firm summary
Halverson Crane
2 matters · litigation
Multiple flags
\$1.18M +14.2% vs. budget
Ashworth & Tate
3 matters · M&A, regulatory
Watch
\$847K +3.1% vs. budget
Sutherland Wescott
2 matters · employment, IP
On guideline
\$386K −2.4% vs. budget
[TABLE]
**Legal review required.** Claude-generated content — verify conclusions and citations before relying.
Diagnostics: block billing, L120 task code specificity, timekeeper leverage, blended rate trend.
### Outside counsel and matter review
Pull billing and matter data into Claude. Spot off-pattern entries, flag matters drifting against budget, and prep for relationship-partner conversations.
Prompt
Internal Q2 GDPR audit on model training data practices. Review PIAs and processing records from NetDocuments against our obligations. Organize by operational bucket, flag status as compliant/gap/unclear, assign risk rating, note owner and next consultation. Monitor \#priv-eng and our audit folder in NetDocuments and update relevant rows automatically as new context comes in. Output as a dashboard.
Connectors
NetDocuments
Box
Content is user-generated and unverified.
Copy
[Learn about artifacts(opens in new tab)](https://support.claude.com/en/articles/9487310-what-are-artifacts-and-how-do-i-use-them)
Loading...
Content is user-generated and unverified.
Content is user-generated and unverified.
### Regulatory compliance gap analysis
Run a compliance gap analysis against a named framework. Claude pulls evidence from your systems, scores severity, and flags what needs attention before audit.
## Build legal products with Claude
Embed Claude into your legal platform or product through the API and Agent SDK.
Learn more
[Learn more](https://claude.com/platform/api)
Learn more
### MCP for legal data
Connect your contract systems, document repositories, and matter data to Claude through Anthropic's open Model Context Protocol.
### Frontier models
Claude leads on legal reasoning benchmarks across contract review, citation accuracy, and long-document comprehension.
### Built for sensitive data
Deploy in sandboxed containers with network controls, credential isolation, and audit logging built into the SDK.
## Tools made for the way you work
### Claude for M365
Word is where legal work gets done. Claude handles full redlining with tracked changes, document comparison, and MSA-scale review without leaving the doc. It pulls in pleadings, prior versions, and Outlook context, drafts the next turn for your review, and tracks every change for the audit trail.
Learn more
[Learn more](/claude-for-microsoft-365)
Learn more
### Claude Cowork
Hand off multi-document matter tasks: drafting a memo against pleadings, preparing for a deposition. Like a trusted senior associate, you delegate to Claude and come back when it’s done, so you can do deeper work.
Learn more
[Learn more](/product/cowork)
Learn more
### Plugins
Add practice-area plugins for contract review, NDA triage, compliance workflows, and more, all configurable to your organization's playbook and risk tolerances.
Learn more
[Learn more](https://github.com/anthropics/claude-for-legal)
Learn more
### Platform
Integrate Claude directly into your CLM, matter management, or e-discovery systems. Build production-grade workflows on the same frontier models that firms like Freshfields and Quinn Emanuel do.
Learn more
[Learn more](/platform/api)
Learn more
## Claude connects to your legal ecosystem
Matter management, research platforms, contract tools, and data rooms: finally all in one place.
Explore connectors
[Explore connectors](/connectors)
Explore connectors
## Legal resources
[How Anthropic's legal team cut review times from days to hours with Claude](https://claude.com/blog/how-anthropic-uses-claude-legal)
How Anthropic's legal team cut review times from days to hours with Claude
How Anthropic's legal team cut review times from days to hours with Claude
Blog
[Blog](https://claude.com/blog/how-anthropic-uses-claude-legal)
Blog
[How Claude helps legal teams handle the work that needs your judgment](https://www.claude.com/blog/claude-for-the-legal-industry)
How Claude helps legal teams handle the work that needs your judgment
How Claude helps legal teams handle the work that needs your judgment
Blog
[Blog](https://www.claude.com/blog/claude-for-the-legal-industry)
Blog
[Watch the Claude for Legal teams webinar](https://www.anthropic.com/webinars/claude-for-legal-teams)
Watch the Claude for Legal teams webinar
Watch the Claude for Legal teams webinar
Webinar
[Webinar](https://www.anthropic.com/webinars/claude-for-legal-teams)
Webinar
[Prep scattered documents for a compliance audit](https://claude.com/resources/use-cases/prep-scattered-documents-for-a-compliance-audit)
Prep scattered documents for a compliance audit
Prep scattered documents for a compliance audit
Use case
[Use case](https://claude.com/resources/use-cases/prep-scattered-documents-for-a-compliance-audit)
Use case
[Organize your legal workflows using Projects](https://claude.com/resources/use-cases/organize-your-legal-workflows-using-projects)
Organize your legal workflows using Projects
Organize your legal workflows using Projects
Use case
[Use case](https://claude.com/resources/use-cases/organize-your-legal-workflows-using-projects)
Use case
[Product guide: Claude for the legal industry](https://cdn.prod.website-files.com/6889473510b50328dbb70ae6/6a0775c566cb42bd866e108b_Claude-for-the-legal-industry-05152026_v6.pdf)
Product guide: Claude for the legal industry
Product guide: Claude for the legal industry
Guide
[Guide](https://cdn.prod.website-files.com/6889473510b50328dbb70ae6/6a0775c566cb42bd866e108b_Claude-for-the-legal-industry-05152026_v6.pdf)
Guide
## See what Claude does for legal teams
Whether you're an in-house team looking to scale or a firm building on Claude, we can help you figure out where to start.
[Contact sales](/contact-sales)
Try it now
[Try it now](https://claude.ai/)
Try it now
[Homepage](https://claude.com)
Homepage
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[Anthropic](https://www.anthropic.com/)
Anthropic
© \[year\] Anthropic PBC
Products
- Claude
[Claude](/product/overview)
Claude
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[Claude Code](/product/claude-code)
Claude Code
- Claude Code for Enterprise
[Claude Code for Enterprise](/product/claude-code/enterprise)
Claude Code for Enterprise
- Claude Cowork
[Claude Cowork](/product/cowork)
Claude Cowork
- @Claude
[@Claude](/product/tag)
@Claude
- Claude Design
[Claude Design](/product/design)
Claude Design
- Claude Science
[Claude Science](/product/claude-science)
Claude Science
- Claude Security
[Claude Security](/product/claude-security)
Claude Security
- Download app
[Download app](/download)
Download app
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[Pricing](/pricing)
Pricing
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[Log in](https://claude.ai/login)
Features
- Claude in Chrome
[Claude in Chrome](/claude-in-chrome)
Claude in Chrome
- Claude for Microsoft 365
[Claude for Microsoft 365](/claude-for-microsoft-365)
Claude for Microsoft 365
- Skills
[Skills](/skills)
Skills
Models
- Mythos
[Mythos](https://www.anthropic.com/claude/mythos)
Mythos
- Fable
[Fable](https://www.anthropic.com/claude/fable)
Fable
- Opus
[Opus](https://www.anthropic.com/claude/opus)
Opus
- Sonnet
[Sonnet](https://www.anthropic.com/claude/sonnet)
Sonnet
- Haiku
[Haiku](https://www.anthropic.com/claude/haiku)
Haiku
Solutions
- AI agents
[AI agents](/solutions/agents)
AI agents
- Code modernization
[Code modernization](/solutions/code-modernization)
Code modernization
- Coding
[Coding](/solutions/coding)
Coding
- Customer support
[Customer support](/solutions/customer-support)
Customer support
- Cybersecurity
[Cybersecurity](/solutions/cybersecurity)
Cybersecurity
- Enterprise
[Enterprise](/solutions/enterprise)
Enterprise
- Financial services
[Financial services](/solutions/financial-services)
Financial services
- Government
[Government](/solutions/government)
Government
- Healthcare
[Healthcare](/solutions/healthcare)
Healthcare
- Higher education
[Higher education](/solutions/education)
Higher education
- K-12 teachers
[K-12 teachers](/solutions/teachers)
K-12 teachers
- Legal
[Legal](/solutions/legal)
Legal
- Life sciences
[Life sciences](/solutions/life-sciences)
Life sciences
- Nonprofits
[Nonprofits](/solutions/nonprofits)
Nonprofits
- Small business
[Small business](/solutions/small-business)
Small business
Claude Platform
- Overview
[Overview](/platform/api)
Overview
- Developer docs
[Developer docs](https://platform.claude.com/docs)
Developer docs
- Pricing
[Pricing](https://claude.com/pricing#api)
Pricing
- Ecosystem
[Ecosystem](/ecosystem)
Ecosystem
- Marketplace
[Marketplace](/platform/marketplace)
Marketplace
- Claude on AWS
[Claude on AWS](/partners/claude-on-aws)
Claude on AWS
- Google Cloud
[Google Cloud](/partners/google-cloud)
Google Cloud
- Microsoft Foundry
[Microsoft Foundry](/partners/microsoft-foundry)
Microsoft Foundry
- Regional compliance
[Regional compliance](/regional-compliance)
Regional compliance
- Console login
[Console login](https://platform.claude.com/)
Console login
Resources
- Blog
[Blog](/blog)
Blog
- Claude partner network
[Claude partner network](/partners)
Claude partner network
- Community
[Community](/community)
Community
- Connectors
[Connectors](/connectors)
Connectors
- Courses
[Courses](https://academy.claude.com/courses)
Courses
- Customer stories
[Customer stories](/customers)
Customer stories
- Engineering at Anthropic
[Engineering at Anthropic](https://www.anthropic.com/engineering)
Engineering at Anthropic
- Events
[Events](https://www.anthropic.com/events)
Events
- Plugins
[Plugins](/plugins)
Plugins
- Powered by Claude
[Powered by Claude](/partners/powered-by-claude)
Powered by Claude
- Service partners
[Service partners](#)
Service partners
- Tutorials
[Tutorials](https://academy.claude.com/tutorials)
Tutorials
- Use cases
[Use cases](https://academy.claude.com/use-cases)
Use cases
Company
- Anthropic
[Anthropic](https://www.anthropic.com/)
Anthropic
- Careers
[Careers](https://www.anthropic.com/careers)
Careers
- Policy
[Policy](https://www.anthropic.com/policy)
Policy
- Economic Futures
[Economic Futures](https://www.anthropic.com/economic-futures)
Economic Futures
- Research
[Research](https://www.anthropic.com/research)
Research
- News
[News](https://www.anthropic.com/news)
News
- Policy on the AI Exponential
---
## clay-claude-platform-api-case-study-claude-by-anthropic-4f93e37996.md
# Clay generates personalized sales outreach at scale with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
Hundreds of hours
saved with automated data collection
Improved performance
in generating copy and messaging
Clay, a platform for RevOps and growth teams, uses Claude to meet user demand for high quality, cost-effective AI-powered sales outreach. Within weeks of adding Claude to their platform, Claude 3 Haiku became a top choice model for Clay customers to identify leads, enrich data, and generate highly personalized sales messaging.
- Hundreds of hours saved with automated data collection
- Improved performance in generating copy and creative messaging
- Increased user satisfaction and engagement
## Empowering sales teams with AI-driven personalization
Clay's AI-powered platform helps RevOps and growth teams run highly personalized outreach at scale. Matthew Quan, Clay’s enterprise growth lead, explains, "We're automating the mundane. 80% of Sales work today is manual, laborious, data work. In the era of AI, humans can focus on truly human, creative work, and we can leave the data work in the hands of AI.”
The platform offers various features to streamline sales processes. Claygent, the platform’s AI research agent, helps in building and enriching lead lists. The data organization feature transforms broad CRM segments into specific, targeted lists. Additionally, the platform generates personalized messaging, creating tailored content for cold calls and email campaigns, leading to increased revenue at lower costs.
## Meeting user demand for Claude
Clay's user community of AI enthusiasts played a crucial role in adding Claude models to their platform. The platform allows users to choose their preferred model, and the demand for Claude was overwhelming.
"Users were begging us to implement Claude," says Software Engineer Adam Eldefrawy. Yash Tekriwal, Head of Education, adds, "Hundreds of customers asked us when we were going to add the models."
## Rapid adoption and impressive results
Once added, users quickly embraced the Claude model family, particularly Claude 3 Haiku, which offers an optimal balance of cost-effectiveness and quality. "Our most advanced users were really excited when we were able to ship Claude,” Eldefrawy explained. "You can scale and do a lot more volume on Haiku a lot more cheaply than any other model.”
The Claude integration has led to several notable improvements. Clay customers often report that Claude is the model that performs best for crafting reliable, personalized email messaging. “Customers regularly mention that emails generated via Claude sound more human and natural as compared to those written by other LLMs,” shares Mishti Sharma, Head of Product Marketing.
Tekriwal shares an example of Claude's capabilities: "With Claude, Claygent can scrape the public web to find a prospect's thought leadership: podcast appearances, blog posts, media mentions, and so on. Then, using a tailored prompt that includes instructions on tone and examples of good copy, it generates a highly personalized email that references the lead's thought leadership." Adoption started high and has steadily increased since Claude's addition in April.
## Seamless implementation and internal use
Integrating Claude into Clay's product suite was straightforward, according to software engineer Maggie Williams. "People love Anthropic. Claude's creative ability and speed outperform a lot of the other models we're looking at." She also noted that Anthropic's error messaging while debugging Claude was helpful during the implementation.
Clay has also found internal use cases for Claude:
- Market landscape categorization: Parsing Slack messages for URLs of various relevant tools, scraping info with Claygent, and using Claude to categorize this into a Notion database
- Data collection and resource optimization: Saving hundreds of hours with automated gathering of 10-K URLs, LinkedIn profile summaries, and contact research (podcasts, events, panels) using Claygent + Claude
- Feedback insights: Categorizing and tagging feedback for product analysis
Tekriwal says, "retaining and categorizing data accurately is a major challenge. Manual processes are time-consuming and prone to human error, with accuracy rates often between 50-70% even with incentives for quality." He emphasizes that AI is better for these repetitive tasks, allowing humans to focus on more complex, creative work.
## Looking ahead
Clay's goal in using AI models like Claude 3 Haiku, both internally and for their customers, is to maximize efficiency and quality.
As Clay continues to refine and expand its AI-powered offerings, the addition of Claude plays a crucial role in meeting user demands and pushing the boundaries of what's possible in personalized sales outreach.
> AI-powered tooling has definitely been a multiplicative force for where we're at size-wise.It's about how you help people do more with the same level of resources—and do better, at a higher quality.
– Yash Tekriwal, Head of Education
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## code-modernization-claude-by-anthropic-f113cd3bb2.md
# Accelerate code modernization with Claude Code
Claude Code helps leading enterprises modernize legacy codebases, assisting with scalable migration while maintaining business logic integrity.[
](https://claude.ai/redirect/website.v1.b556e516-6b56-432f-b96b-370e6184e6ee)
Speak with sales
[Speak with sales](/contact-sales)
Speak with sales
Learn more
[Learn more](/product/claude-code/enterprise)
Learn more
## The agentic modernization tool for enterprise legacy systems
Claude Code combines AI code generation with deep codebase understanding and enterprise-grade security to transform how organizations approach code modernization.
### Agentic transformation
Claude Code performs dependency mapping and helps with incremental refactoring strategies while keeping humans in the loop.
### Made for enterprise
Integrate with existing CI/CD pipelines, version control systems, and development workflows while ensuring enterprise-grade security and compliance.
### Proven methodologies
Accelerate time-to-value with proven approaches to modernization, refactoring, and mitigating technical debt.
## Using Claude Code for code modernization
Claude Code transforms every stage of your modernization journey, and our ecosystem partners help provide comprehensive solutions to further accelerate time-to-value. Here's how teams are using Claude Code to eliminate technical debt faster.
### Legacy system analysis
Generate dependency graphs, identify dead code, and prioritize refactoring based on code complexity metrics and business impact.
### Systematic transformation
Transform legacy codebases systematically while maintaining business continuity. Claude Code preserves critical business logic while modernizing to current frameworks.
### Automated testing and validation
Claude Code can seamlessly create unit tests for refactored code, identify missing test coverage, and help write regression tests.
### Security and compliance updates
Identify and patch vulnerabilities while maintaining regulatory compliance patterns embedded in legacy systems.
### Documentation generation
Create modern documentation from undocumented legacy code, capturing institutional knowledge before it's lost.
## The AI ecosystem for code modernization
## Coding modernization resources
Start building
[Start building](https://platform.claude.com/)
Start building
[Claude Code for Financial Services](https://www.anthropic.com/webinars/claude-code-financial-services)
Claude Code for Financial Services
Claude Code for Financial Services
Webinar
[Webinar](https://www.anthropic.com/webinars/claude-code-financial-services)
Webinar
[The Code Modernization Playbook](https://resources.anthropic.com/code-modernization-playbook)
The Code Modernization Playbook
The Code Modernization Playbook
[eBook](https://resources.anthropic.com/code-modernization-playbook)
[How AI helps break the cost barrier to COBOL modernization](https://claude.com/blog/how-ai-helps-break-cost-barrier-cobol-modernization)
How AI helps break the cost barrier to COBOL modernization
How AI helps break the cost barrier to COBOL modernization
Blog
[Blog](https://claude.com/blog/how-ai-helps-break-cost-barrier-cobol-modernization)
Blog
[Homepage](https://claude.com)
Homepage
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
[Anthropic](https://www.anthropic.com/)
Anthropic
© \[year\] Anthropic PBC
Products
- Claude
[Claude](/product/overview)
Claude
- Claude Code
[Claude Code](/product/claude-code)
Claude Code
- Claude Code for Enterprise
[Claude Code for Enterprise](/product/claude-code/enterprise)
Claude Code for Enterprise
- Claude Cowork
[Claude Cowork](/product/cowork)
Claude Cowork
- @Claude
[@Claude](/product/tag)
@Claude
- Claude Design
[Claude Design](/product/design)
Claude Design
- Claude Science
[Claude Science](/product/claude-science)
Claude Science
- Claude Security
[Claude Security](/product/claude-security)
Claude Security
- Download app
[Download app](/download)
Download app
- Pricing
[Pricing](/pricing)
Pricing
- Log in
[Log in](https://claude.ai/login)
Features
- Claude in Chrome
[Claude in Chrome](/claude-in-chrome)
Claude in Chrome
- Claude for Microsoft 365
[Claude for Microsoft 365](/claude-for-microsoft-365)
Claude for Microsoft 365
- Skills
[Skills](/skills)
Skills
Models
- Mythos
[Mythos](https://www.anthropic.com/claude/mythos)
Mythos
- Fable
[Fable](https://www.anthropic.com/claude/fable)
Fable
- Opus
[Opus](https://www.anthropic.com/claude/opus)
Opus
- Sonnet
[Sonnet](https://www.anthropic.com/claude/sonnet)
Sonnet
- Haiku
[Haiku](https://www.anthropic.com/claude/haiku)
Haiku
Solutions
- AI agents
[AI agents](/solutions/agents)
AI agents
- Code modernization
[Code modernization](/solutions/code-modernization)
Code modernization
- Coding
[Coding](/solutions/coding)
Coding
- Commerce
[Commerce](/solutions/commerce)
Commerce
- Customer support
[Customer support](/solutions/customer-support)
Customer support
- Cybersecurity
[Cybersecurity](/solutions/cybersecurity)
Cybersecurity
- Enterprise
[Enterprise](/solutions/enterprise)
Enterprise
- Financial services
[Financial services](/solutions/financial-services)
Financial services
- Government
[Government](/solutions/government)
Government
- Healthcare
[Healthcare](/solutions/healthcare)
Healthcare
- Higher education
[Higher education](/solutions/education)
Higher education
- K-12 teachers
[K-12 teachers](/solutions/teachers)
K-12 teachers
- Legal
[Legal](/solutions/legal)
Legal
- Life sciences
[Life sciences](/solutions/life-sciences)
Life sciences
- Nonprofits
[Nonprofits](/solutions/nonprofits)
Nonprofits
- Small business
[Small business](/solutions/small-business)
Small business
Claude Platform
- Overview
[Overview](/platform/api)
Overview
- Developer docs
[Developer docs](https://platform.claude.com/docs)
Developer docs
- Pricing
[Pricing](https://claude.com/pricing#api)
Pricing
- Ecosystem
[Ecosystem](/ecosystem)
Ecosystem
- Marketplace
[Marketplace](/platform/marketplace)
Marketplace
- Claude on AWS
[Claude on AWS](/partners/claude-on-aws)
Claude on AWS
- Google Cloud
[Google Cloud](/partners/google-cloud)
Google Cloud
- Microsoft Foundry
[Microsoft Foundry](/partners/microsoft-foundry)
Microsoft Foundry
- Regional compliance
[Regional compliance](/regional-compliance)
Regional compliance
- Console login
[Console login](https://platform.claude.com/)
Console login
Resources
- Blog
[Blog](/blog)
Blog
- Claude partner network
[Claude partner network](/partners)
Claude partner network
- Community
[Community](/community)
Community
- Connectors
[Connectors](https://claude.com/connectors)
Connectors
- Courses
[Courses](https://academy.claude.com/courses)
Courses
- Customer stories
[Customer stories](/customers)
Customer stories
- Engineering at Anthropic
[Engineering at Anthropic](https://www.anthropic.com/engineering)
Engineering at Anthropic
- Events
[Events](https://www.anthropic.com/events)
Events
- Plugins
[Plugins](/plugins)
Plugins
- Powered by Claude
[Powered by Claude](/partners/powered-by-claude)
Powered by Claude
- Service partners
[Service partners](#)
Service partners
- Tutorials
[Tutorials](https://academy.claude.com/tutorials)
Tutorials
- Use cases
[Use cases](https://academy.claude.com/use-cases)
Use cases
Company
- Anthropic
[Anthropic](https://www.anthropic.com/)
Anthropic
- Careers
[Careers](https://www.anthropic.com/careers)
Careers
- Policy
[Policy](https://www.anthropic.com/policy)
Policy
- Economic Futures
[Economic Futures](https://www.anthropic.com/economic-futures)
Economic Futures
- Research
[Research](https://www.anthropic.com/research)
Research
- News
[News](https://www.anthropic.com/news)
News
- Policy on the AI Exponential
[Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
Policy on the AI Exponential
- Responsible Scaling Policy
[Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
Responsible Scaling Policy
- Security and compliance
[Security and compliance](https://trust.anthropic.com/)
Security and compliance
- Transparency
[Transparency](https://anthropic.com/transparency)
Transparency
Programs
- Startups
[Startups](https://claude.com/programs/startups)
Startups
- Scientists
[Scientists](/programs/team-plan-for-scientists)
---
## coderabbit-claude-platform-api-case-study-claude-by-anthropic-b910df955b.md
# CodeRabbit revolutionizes code review with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
86% faster
code delivery from days to hours
60% reduction
in code review issues
CodeRabbit uses Claude to transform code review processes for development teams, enabling them to ship higher quality code faster while maintaining rigorous standards through AI-powered analysis and feedback.
With Claude, CodeRabbit:
- Delivers 86% faster code delivery, from days to hours
- Reduces code review issues by over 60%
- Reports 70% implementation rate of AI-powered fixes
- Processes millions of pull requests monthly, enabling unified quality assurance and automated security checks.
## The challenge of maintaining code quality at scale
CodeRabbit's mission is to accelerate software development by automating code review processes for organizations from open-source projects to Fortune 500 enterprises. Modern development teams need to maintain consistent code quality while speeding up delivery cycles. Teams wrestle with fragmented quality assurance processes requiring multiple specialized tools across different languages and frameworks. Security scanning tools overwhelm teams with false positives while missing context-dependent vulnerabilities.
"Teams struggled with manual review bottlenecks, inconsistent quality checks, and growing technical debt," said Aravind Putrevu, Developer Relations Lead at CodeRabbit. "While basic linting (automated checks for programming style and errors) and static analysis tools helped, they couldn't understand code context or provide nuanced feedback, unlike human reviewers."
## Why CodeRabbit chose Claude
CodeRabbit's journey to Claude began with a fundamental observation: traditional code review tools weren't keeping pace with modern development velocity. After experimenting with rule-based systems and basic machine learning models, they realized they needed an AI solution that could truly understand code semantics, programming patterns, and developer intent.
After evaluating multiple AI models, Claude stood out for its unique ability to understand code with human-like comprehension. "Claude demonstrates an exceptional ability to grasp not just syntax, but underlying architectural patterns and implementation nuances," said Putrevu. Claude's superior context management across large repositories, ability to translate complex technical concepts into clear explanations, and exceptional security reasoning with minimal false positives made it the clear choice.
The integration process was smooth, thanks to Anthropic's modern SDK architecture and clear API specifications. This allowed CodeRabbit to rapidly integrate Claude's capabilities while maintaining reliable infrastructure and consistent performance at scale.
## How Claude powers intelligent code review
CodeRabbit leverages Claude to deliver:
- Real-time code reviews with contextual feedback during development
- Instant understanding of complex code changes through clear summaries
- Impact assessments that help teams grasp architectural implications
- Early error and bug detection with improvement suggestions
- Unified quality assurance combining linting and security tools
## Transforming development team productivity
Integrating Claude has improved efficiency and code quality for CodeRabbit's customers. Their one-click fixes enable rapid decision-making and faster bug resolution, while streamlined ticketing integrations with tools like Jira and Linear enhance workflow efficiency. The platform delivers insightful analytics dashboards and customizable reports for data-driven engineering leadership. Its ability to provide senior developer-level insights bridges knowledge gaps between junior and senior developers while making code reviews more educational and accessible.
"Claude empowers developers by delivering insights into architectural patterns and code dependencies," said Putrevu. "Its contextual explanations accelerate developer learning while proactively identifying security vulnerabilities."
## Building the future of AI-powered development
CodeRabbit envisions a future where AI seamlessly augments every aspect of the software development lifecycle. Their roadmap focuses on pioneering new frontiers in autonomous code improvements, predictive quality insights, and intelligent knowledge systems that evolve alongside codebases. "Engineering teams today manage a maze of tools for code quality – our vision is to unify this through AI that thinks like your best senior developer," said Harjot Gill, CEO of CodeRabbit AI.
Through their continued partnership with Anthropic, CodeRabbit is poised to transform how teams collaborate on code, making high-quality software development more accessible and efficient than ever before.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## codewords-claude-platform-api-case-study-claude-by-anthropic-a88a747d99.md
# CodeWords enables non-technical users to build workflow automations with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
Europe
92% of non-technical users
successfully build automations in a single session (up from 43% in open beta)
6 minutes
to build complex multi-source automations, down from 25 minutes
CodeWords is an AI workflow automation platform, built by Agemo, that enables non-technical users to create automations through conversational AI chat. The company serves non-technical professionals in operations, marketing, and administrative roles at startups and small businesses, as well as solopreneurs and freelancers who need powerful automation tools.
With Claude, CodeWords:
- Increased first-session success rates from 43% to 92% for non-technical users building workflows
- Reduced build time for complex automations from 25 minutes to 6 minutes
- Cut simple automation build time from 11 minutes to 115 seconds
- Enabled non-technical users to create automations for complex use cases such as multi-source knowledge aggregators combining multiple integrations such as Jira, internal documentation, Salesforce, and Supabase
- Self-improves by reviewing product usage and suggest updates to its own context
## Automation platforms still require technical expertise
Workflow automation has remained stubbornly technical despite decades of attempts at simplification. While tools have emerged to simplify website creation for non-technical users, automation platforms still require significant technical knowledge. Operations teams, marketers, and small business owners who need to automate workflows often find themselves stuck choosing between expensive technical hires or abandoning automation altogether.
"Automation still requires a technical mindset and has a high barrier to entry even with visual no-code builders," said Aymeric Zhuo, Co-Founder of Agemo.
The challenge extends beyond just building automations. Users need systems that can understand their intent through natural conversation, generate clean code that adheres to best practices, and improve themselves over time without requiring technical intervention. Traditional automation platforms force users to think like programmers, mapping out logic flows and error handling manually.
## Claude powers CodeWords to generate production-ready complex workflows
Agemo chose Claude for its exceptional code generation capabilities. “By building the agentic architecture around Claude, we designed Cody, our AI workflow builder to excel at producing clean, community-adopted code that aligns with our best practices,” said Ramadan, Co-Founder of Agemo.
Cody, powered by a context-intelligent Claude, is able to self-improve through continuous learning as it orchestrates new workflows and generates new code adhering to CodeWords’ rules and standards, enabling non-technical users to build sophisticated automations at the speed of a conversation.
## Building CodeWords: Treating LLMs as infrastructure stakeholders
Agemo started as an applied AI lab focused on building an AI system that could generate back-end systems for workflow automation. The company worked with pioneers like François Chollet, inventor of Keras, and Mike Knoop, co-founder of Zapier, to develop AI reasoning capabilities. This year, their focus shifted to CodeWords, bringing that technical foundation into a product anyone can use.
CodeWords treats LLMs as stakeholders in its infrastructure design. "We built the environment for LLMs from the beginning, considering them as stakeholders in our infrastructure," Ramadan explained. "This enables us to focus on increasing intelligence rather than model-specific plumbing."
CodeWords combines Claude's code generation with surrounding context intelligence to understand what users want to build. When a user describes an automation in plain language, CodeWords interprets the request, generates the necessary code, and deploys it—all through conversation. The system handles complex scenarios, like building a multi-source knowledge aggregator that combines data from Jira, internal documentation, Salesforce, and Supabase to answer support tickets directly in Slack.
"We're using the Claude Agent SDK as our starting point and are in active discussions with Anthropic's API team about how we can contribute our work back to benefit the broader developer community," said Ramadan.
Agemo uses CodeWords internally to build automations for their own product, operations, and marketing workflows, replacing manual processes and reducing reliance on SaaS tools. The company even drafts emails for new feature launches and pushes code for review using AI. "We've never been a pre-AI company," Zhuo noted. "We started in the AI phase and our product has AI at its core."
## The outcome
CodeWords’ traction demonstrates the power of combining conversational AI with production-ready code generation. Success rates for non-technical users building workflows in a single session jumped from 43% during open beta to 92%, driven by Claude's intelligence and CodeWords’ surrounding context systems.
Build times dropped dramatically. Simple automations that took 11 minutes now complete in 115 seconds. Complex automations decreased from 25 minutes to 6 minutes, largely because fewer iterations are needed to fix issues.
Customer feedback highlights an unexpected benefit: emotional connection. "Claude Sonnet 4.5 has the best emotional maturity compared to other models," Ramadan explained. "It knows how to empathize with the user, and that created stickiness for us." Anecdotally, Zhuo reported users saying that "CodeWords knows me" and describing conversations as being like talking to "a workflow therapist" or someone "with so much wisdom and experience."
This combination of technical capability and conversational quality drives retention. Users see the platform improve with each visit, creating a feedback loop that keeps them engaged.
Looking ahead, Agemo aims to disrupt the workflow automation space by building AI-native products that remove technical barriers. "We want to be known for making automation accessible to everyone," said Zhuo. "Everyone should be able to build an automation, whether from WhatsApp, for personal productivity, time management, or things related to work. Lovable managed to make accessible website creation—everyone can build a website now. We want to do that for automation."
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## coding-claude-by-anthropic-d1a5cc6d45.md
# The best AI for developers
Claude is the not-so-secret advantage for world class engineering teams and software companies.
Start building
[Start building](https://platform.claude.com/)
Start building
[Contact sales](/contact-sales)
[Play video](#)
Play video
66.4%
Opus 5.5 on Terminal-Bench 4.0
## 60x
faster code review feedback for an AI platform customer
## 95%
reduction in time to run tests for an enterprise software customer
## Write code with Claude
Get complete insight into your codebase and accelerate exceptional software.
Prompt
\> claude fix the authentication error in our login flow
I'll investigate the auth error. Let me look at the relevant files.
Examining auth-related files...
\* src/services/authService.js
\* src/components/Login.jsx
\* src/store/authSlice.js
Running the login flow...
Error detected: "401 Unauthorized: Token expired"
Root cause:
\* Token refresh mechanism not handling expired tokens correctly
\* Refresh token missing from request header
\* Improper error handling for 401 responses
Updating authService.js with proper refresh logic...
Updating request interceptor for 401 handling...
Testing the fix...
\* Login successful ✓
\* Token refresh working ✓
\* Proper redirection on expired tokens ✓
Authentication error fixed! The login flow now properly handles token expiration.
### Scale coding impact, not overhead
Write, test, and debug complex software with [Claude](https://claude.ai), analyze codebases with expert-level reasoning via GitHub integration, delegate development tasks through computer use, and fast-track smarter engineering decisions in a shared workspace.
Learn more
[Learn more](/product/claude-code/enterprise)
Learn more
### Explore agentic coding with Claude Code
Claude Code brings Fable 5.1 to your terminal, with deep codebase awareness and the ability to edit files and run commands directly in your environment.
Learn more
[Learn more](/product/claude-code)
Learn more
## Developers love Claude
“I taught a friend who has never written code in her life how to use Claude to build a simple app and deploy it on Cloudflare today. Watching someone realize that they can now build software is a great experience. Enable everyone to build anything.”
Logan Grasby, @LoganGrasby
“I introduced someone to Claude Code, Opus last night, and we were up til 4 am building a project. It was crazy! 20K lines of codes, audit logging, a full Prisma Database, complete architecture, and a complete roadmap with 4 phases for complete implementation.”
Teneika Askew, @teneikaask_you
“Just taught my fiancée how to use claude to write code that automates dumb tasks that have been making her work life miserable for months. She went from being downtrodden and skeptical to dancing around the room in about 15 minutes. END USER PROGRAMMING IS NOW.”
Kasey, @kaseyklimes
“I know this sounds cringe, but I literally have clammy hands and a racing heart because of how powerful Claude + Cursor is. Like I just made a whole new feature, frontend and backend, built on top of my own custom APIs without touching code, then I had it switch from a SwiftUI.”
Majd Taby, @jtaby
“Anthropic is leading the Industry with models - like Sonnet and Opus - and developer tools - like Claude Code.”
Jon Meyers, @jonmeyers_io
“With new Claude i officially feel like a fraud when i code, I’m the guy in the corner saying um nice job boss keep going.”
Nick, @nickcammarata
[Prev](#)
Prev
0/5
## Build products with the Claude Platform
Integrate Claude’s powerful AI capabilities into your apps and deliver production-grade solutions faster.
Existing prompt
Classify all customer support tickets into the most relevant category.
Here is the list of categories to choose from:
{{CATEGORY_LIST}}
Here is the content of the support ticket:
{{TICKET_CONTENT}}
What would you like to improve?
Please include a rationale for the classification.
You are an AI assistant specialized in classifying customer support tickets. Your task is to analyze the content of a given ticket and assign it to the most appropriate category from a predefined list. You will also provide reasoning for your classification decision.
First, let's review the available categories:
\<category_list\>
{{CATEGORY_LIST}}
\</category_list\>
Now, here is the content of the support ticket you need to classify:
\<ticket_content\>
{{TICKET_CONTENT}}
\</ticket_content\>
Please follow these steps to complete the task:
– Carefully read and analyze the ticket content.
– Consider how the content relates to each of the available categories.
– Choose the most appropriate category for the ticket.
– Provide a detailed explanation of your reasoning process.
Use the following structure for your response:
\<classification_analysis\>
In this section, break down your thought process:
– Quote the most relevant parts of the ticket content.
– List each category and note how it relates to the ticket content.
– For each category, provide arguments for and against classifying the ticket into that category.
– Rank the top 3 most likely categories.
\</classification_analysis\>
\<classification\>
\<category\>Your chosen category goes here\</category\>
\<reasoning\>A concise summary of your reasoning for choosing this category\</reasoning\>
\</classification\>
Remember to be thorough in your analysis and clear in your explanation. Your goal is to provide an accurate classification with well-supported reasoning.
### Deliver amazing AI experiences
- Customize how Claude fits into your solution with our API
- Improve and evaluate your prompts in the Workbench
- Build frontier intelligence into your applications
- Turn anyone into an AI developer with rich docs and tooling
## See why companies choose Claude
“Even at its lowest effort setting, Claude Opus 5.5 caught 72% of known bugs in our code reviews to Opus 5’s 56% at high effort, with fewer false alarms and a fraction of the output. On US consulting analysis, low thinking effort matched its higher thinking settings on half the output and passed our quality checks. When more lower thinking efforts are deployed in production, that’s client-ready work delivered efficiently.”
Carl Bennett, CIO
“Developers want agents that can take on real software work and finish it. In our testing across GitHub Copilot CLI and VS Code, Claude Opus 5.5 used among the fewest tokens and steps we measured. In VS Code, it solved more terminal tasks than Opus 5 in less than half the steps. More than making individual tasks more efficient, it’s making developers’ bigger projects more achievable.”
Mario Rodriguez, Chief Product Officer
“I handed Claude Opus 5.5 a large engineering task across six of our repositories and let it run overnight, unattended. It stayed on task for over 18 hours defining how our services talk to each other and working out how each one should apply that. Compared with Opus 5, it hit milestones faster and required minimal reworking. Its code comments were short and useful instead of long and prose-heavy. I’m struggling to find anything negative to say.”
Sean Heintz, Staff Software Developer
“For Lovable builders, Opus 5.5 means faster builds with the same quality, whether you’re starting from scratch or working on a live app. It gathers context once, makes fewer and more complete edits, and doesn’t get stuck retrying, finishing in a third to half fewer steps and using significantly fewer tokens along the way.”
Fabian Hedin, CTO & Co-founder
“With Claude Opus 5.5, we’ve seen a clear improvement in token efficiency across our internal evaluations, as we’ve been able to complete the same tasks both cheaper and faster.”
Aleksandar Mitic, Senior Engineer
“We test models on real engineering and trading-desk work. On our agentic coding tasks, Claude Opus 5.5 matched Opus 5’s quality in about half the turns, time and output tokens, cutting the cost of that workload by 40 to 50%. It posted the highest score we’ve recorded on one desk’s trading-support suite, passing tasks earlier Claude models had failed, and topped all eight models on our analysis task.”
Noyan Tokgozoglu, Global Head of AI Engineering
“We're moving our Opus 5 traffic in Devin to Claude Fable 5.1 on launch day. It matched or edged out Fable 5 in our testing at a lower cost per task, and with the new cache read pricing a Fable-class model is finally economical for the workloads we'd kept on Opus, starting with code review.”
Walden Yan, Co-founder and CPO
“Claude Fable 5.1 is more comfortable with long, unattended work than Fable 5. I've had workflows run for a long stretch without losing the plot: it keeps its own records, reprioritizes as things change, and picks up where it left off.”
Ben Lafferty, Senior Staff Engineer
“On the hardest problems we work on, Claude Fable 5.1 separates strongly from any other model we've tried. On a grand challenge-tier problem we've used as a testbed for 18 months, it actually produced material progress. Rather than being trapped in stamp collecting, it made clear white-space connections I have yet to see elsewhere. It also optimized a compute kernel that Fable 5 had tapped out on by about 35%.”
Sean Ward, Co-founder and CEO
“We had a change that touched more than eight services across three codebases. Claude Fable 5.1 mapped the whole workflow end to end, in extremely fine detail, from the incoming service call down to the individual function and the database tables and rows, and it was accurate all the way down. We appreciated the opportunity to test the model and provide feedback, helping us prepare for a new frontier where we can increasingly rely on these tools to take on bolder initiatives.”
Aditya Gupta, Staff Software Engineer
“Claude Fable 5.1 is the most capable model we've run on CursorBench 3.2, scoring 73.4% at max effort. We found it especially skilled at verifying its own work, allowing it to take on difficult coding tasks from start to finish.”
Sualeh Asif, Director of ML
“The standout in Claude Fable 5.1 is the writing: more understandable, more meaningful, and it follows our writing guidance better. In blind tests against Fable 5, I preferred its writing and output. And in Canva Code it built a rhythm game with real music and on-beat gameplay matched to the level it generated, something no other model we tested delivered.”
Danny Wu, Head of AI
“We asked Claude Fable 5.1 to review a clinical research project for Rakuten Medical that three other frontier models had signed off on. It found a gap none of them had seen and insisted on testing it further. It then proposed a completely new hypothesis, turning a dataset we had written off into a new research direction in one afternoon. It's the first time a frontier model like Claude has empowered us to explore new research in this way.”
Felix Giovanni Virgo, Principal AI Engineer
“As part of our ongoing evaluation of AI models, Claude Fable 5.1 delivered impressive results in our tests. Using Claude Code, it correctly identified the root cause of every broken build we tested, across all the effort levels. It also communicates more effectively than earlier Anthropic models, with updates that are more concise and easier to follow.”
Josh Boyer, Distinguished Engineer
[Prev](#)
Prev
0/5
100K+
applications deployed on Google Cloud run
75%
engineers saving 8–10+ hours every week
## Coding resources
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[Anthropic](https://www.anthropic.com/)
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© \[year\] Anthropic PBC
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---
## cogent-claude-platform-api-case-study-claude-by-anthropic-c62c6aac7a.md
# Cogent resolves security threats 97% faster with Claude
[Try Claude](https://claude.ai)
Industry:
Cybersecurity
Company size:
Startup
Product:
Claude Platform
Location:
North America
97% reduction in time critical vulnerabilities remain open
Exposure-to-remediation compressed from days or weeks to minutes
Response time to zero-day vulnerabilities reduced to 30 minutes
Down from days of manual investigation and coordination
Cogent is an applied AI lab building agents to automate critical security tasks for Fortune 1000 enterprises. Where many security tools focus on finding vulnerabilities, Cogent focuses on fixing them. Cogent automates investigation, prioritization, and remediation across the full vulnerability lifecycle.
## With Claude, Cogent achieved:
- 97% reduction in time that critical vulnerabilities remain open, compressing remediation cycles from days or weeks to minutes
- Response time to zero-day vulnerabilities reduced to 30 minutes, down from days of manual investigation and coordination
- 90% reduction in vulnerability noise requiring human review
- Reduced average investigation time from days to minutes
- 40+ hours per month reclaimed from manual reporting per enterprise customer
## The challenge
## The gap between finding and fixing
Security teams at large enterprises are generally effective at discovering vulnerabilities: scanners can surface thousands of findings daily. The hard part is the tedious, time consuming work that comes after that: determining which ones actually matter, who owns the fix, and what the exact remediation steps are. Those answers require pulling data across scanners, endpoint detection tools, asset inventories, threat intelligence feeds, and configuration databases, then synthesizing it manually.
The work is slow and often inconsistent. High-severity vulnerabilities can sit open for days or weeks. “AI has shifted the balance of power in cybersecurity,” said Geng Sng, Cogent's CTO. “Attackers now automate most of the attack lifecycle, compressing what once took weeks into hours. Meanwhile, defenders still rely on fragmented tools and manual coordination.” Cogent's founders wanted to build a system that could do this work continuously and at machine speed, across the full vulnerability lifecycle.
97%
Reduction in time that critical vulnerabilities remain open
## The solution
## Cogent selects Claude for agentic reliability
Cogent evaluated multiple model providers using internal security-focused benchmarks. The decisive factor was performance on complex, multi-step agentic workflows.
In vulnerability investigation, an agent needs to follow a chain of evidence across disparate systems without losing the thread: a vulnerability surfaces in a scanner, which points to a specific software version, which maps to a set of assets, which have varying levels of exposure depending on compensating controls. In workflows involving 10-15 sequential tool calls, Claude maintained coherence and instruction-following where alternatives lost context.
That reliability made Claude Opus and Haiku models the clear choice for production deployment in enterprise security environments, where incomplete reasoning has real consequences.
"Claude consistently performed best on complex, agentic workflows, especially multi-step investigations requiring policy adherence and sustained reasoning across multiple tools," said Anirudh Ravula, Cogent's Head of AI.
30 minutes
Response time to zero-day vulnerabilities
## The outcome
## How Cogent uses Claude across the vulnerability lifecycle
Fixing a vulnerability requires three things to go right in sequence: understanding what’s actually exploitable, deciding which issues deserve immediate attention, and actually resolving them. Most security teams do all three manually. Cogent automates the full chain by building the end-to-end remediation stack then embedding Claude as the reasoning layer at each step.
**Investigation:** Cogent's platform continuously pulls from scanners, logs, asset inventories, and threat feeds, building the environmental context that doesn't exist anywhere in a customer's environment ready-made. From there, Cogent's investigative agent works autonomously: tracing asset ownership across systems, synthesizing threat intelligence and business context into a risk score, and mapping the remediation processes that apply to each asset. For issues that warrant deeper analysis, security teams can ask questions in plain language and get back clear, explainable findings. Investigations that once took days now happen in minutes.
**Prioritization:** A large enterprise typically faces millions of vulnerability-asset combinations at any given time. Traditional risk scoring treats them uniformly, assigning severity based on the vulnerability itself rather than the environment it lives in. Cogent's agents assess real-world exploitability, how critical the affected asset is to the business, whether it's exposed to the internet, and what compensating controls are already in place. The result is a ranked list that reflects actual business risk, not a generic severity label. False positives drop; the issues that truly matter surface.
**Remediation:** Once vulnerabilities are prioritized, Cogent's agents generate action plans, identify the responsible owner, and draft implementation steps. Cogent is advancing toward fully autonomous remediation: agents that execute fixes directly within defined guardrails, with verification loops and policy controls at each step.
The results are measurable. Customers have reduced the time critical vulnerabilities remain open by 97%. Response time to zero-day vulnerabilities has dropped to 30 minutes. Vulnerability noise requiring human review has fallen by 90%, freeing security teams to focus on findings that genuinely require attention. Individual analysts have reclaimed more than 40 hours per month previously consumed by manual reporting.
One enterprise customer at a large hospitality brand put it simply: "In meetings, I used to say 'I'll get back to you on that' and spend hours in BI tools and Excel. Now I ask Cogent in plain language and generate charts in seconds. Executive questions get answered in real time, not days later."
Claude is also embedded in how Cogent builds its own product. The team developed an AI-driven software development lifecycle, integrating Claude into engineering workflows from specification through implementation and review. Smaller teams can now move faster and maintain the high security standards their enterprise customers require.
## Looking ahead: Fully autonomous systems
Cogent is working toward two capabilities next: fully autonomous remediation, where systems identify and fix vulnerabilities with minimal intervention, and offensive security simulation, where agents replicate attacker behavior.
“We are exploring Claude-powered agents that simulate sophisticated attackers, chaining misconfigurations and privilege escalations to uncover attack paths before adversaries do,” said CTO Geng Sng. “Our goal is fully autonomous systems, reducing millions of exploitable issues toward zero.”
## Related stories
### Vega's cyber defense platform returns 67% of analysts' time with Claude
### Cyera on making Claude Cowork the front door to 40 tools
### Cyera scales agentic AI across 1,500 employees with Claude Enterprise
### Kai delivers preemptive exposure management with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
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- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
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- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## cognition-claude-platform-api-case-study-claude-by-anthropic-29aceac4c1.md
# Building an autonomous AI engineer: A Q&A with Cognition
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Startup
Product:
Claude Platform
Location:
North America
3.5x increase in merged PRs
per week after adopting Claude Sonnet 3.6
The most driven founders are problem solvers. Watch their unscripted conversations with the Anthropic engineers.
[Read more](https://claude.com/problem-solvers)
[Cognition](https://cognition.ai/) is the company behind Devin, one of the first AI software engineers. Devin launched in early 2024 and has since become an established name in AI engineering and enterprise AI transformation. The early move into the emerging AI software engineering space drove explosive demand; Cognition has deployed its AI engineers across enterprises including Goldman Sachs, Mercedes-Benz, and the US Army.
Scott Wu, CEO, and Walden Yan, co-founder and CPO, sat down with Anthropic to discuss what makes autonomous agents fundamentally different from code-completion tools, how Claude's capabilities have shaped Devin's evolution, and what's ahead for software engineering.
## Anthropic: You've always had a bet on autonomous agents, going back to early 2024 when the technology was much earlier. What's uniquely challenging about powering an agent that works autonomously?
**Scott Wu, Cognition:** The bar for an autonomous agent is fundamentally different from the bar for a code-completion tool. Users systematically under-specify tasks. They have context the agent doesn't. The agent has to clarify, ask the right questions back, and infer intent correctly, because a wrong starting point means the entire trajectory goes off course.
The agent also has to stay focused over long horizons without drifting. A lot of our engineering work goes into trajectory monitoring, which means detecting when an agent is going off track, and steering it back. Before today's frontier models, the primary failure mode was consistency. Some trajectories would work, but the output quality degraded over long contexts, variance was high, and it just wasn't reliable enough to trust autonomously.
Real-world success for us looks like this: a well-scoped ticket comes in, the agent ships it, the PR gets merged. That's the bar our customers hold us to
**Walden Yan, Cognition:** Claude models were very early on, natively agentic. Devin has a lot of particular behaviors that we like to keep around for our users. Having a long set of evals allows us to have the confidence that when we swap a new model in, we don't regress on any important product behaviors, which is really important for us. We want to be able to speak definitively internally about which models we think are best and use those for our capabilities.
## How would you describe what the overall experience of working with Devin is like?
**Scott:** The whole idea is getting you to a point where you as a human can operate in terms of higher level decisions and trade-offs and not have to think about every single little detail in the code. Devin will send you a screen video recording of ‘You told me to fix a bug, I fixed it, here's the PR, but by the way, I actually went through and clicked through myself to make sure it works now.’ And here's like a video of that working.
## Cognition routes across multiple models. What specifically makes Claude well-suited for the autonomous, long-horizon work you route to it?
**Scott:** One is just the ability to do long-running tasks. With a lot of models, you generally see that after enough time, they get confused or forget what they were doing. Claude models have been ahead of the curve at being able to follow through and consistently work on a longer-running task.
Two is having intelligent usage of the tools available to it. With Devin, we give the model access to all sorts of different things: the PR itself, the commit history, different files of the codebase, the ability to ask a clarifying question. It takes a certain kind of intelligence to know how to use the different tools at your disposal, or when to use a tool at all.
The third is more subjective. You want to be able to give the agent a two-line description of what you *think* needs to happen and have it expand from there and already know what you mean about the other details. It’s a little different from the binary of ‘Did it do the task or not?’ We've often found that Claude models perform particularly well at that.
## When you get access to a new model, what does the evaluation process look like?
**Scott:** We have our own set of internal evals that cover all the different parts of software engineering. We have an eval for how good you are mechanically at performing an edit in a file. We have one for how good you are at locating the right files in the codebase that correspond to this issue the user described. And then we have end-to-end evals for what we'd expect a software engineer to do.
When Claude Sonnet 3.6 came out in 2024, that was the biggest leap we'd seen in that benchmark score. We started using it internally, and we 3.5xed merged PRs per week because there were just so many more tasks you could start to work with that model on.
## How quickly does a new Claude model typically make it into Devin's production workflows?
**Walden:** We try to implement it as soon as we have access. If we're confident the model is strictly better than what we have out there, we'll usually straight swap out on day one. The feedback loop goes both ways. Anthropic has sent engineers to work with us to try new capabilities with models. And then the feedback we gave and sent a lot of examples on—that did improve the future models, which was really nice to see.
## You've talked about how much engineering sits in the harness around the models. Can you give a sense of what that infrastructure looks like?
**Scott:** Every time we change which model handles which part of the workflow, the harness has to change with it. Prompts, tool definitions, context management, trajectory monitoring, and guardrails are all tuned to the specific model behind them. Keeping that surface area stable while the underlying model mix evolves is a constant engineering investment. Roughly 50 to 70 engineers work on the model integration surface across the full product.
And there's so much depth in software engineering as a whole. VM sandboxing alone is something we've rebuilt many times. How fast is the VM ready from the moment you kick off the agent? That's a really hard problem, because it's not just the actual spin up. The agent has to be ready to go with the latest code, the latest dependencies, the right repos.
## Enterprise usage of Devin has been accelerating. What's driving that growth?
**Walden:** I think our usage of Devin since late last year is up at least 7x. It's partially new use cases like debugging and security scanning. It's also partially that greater long-horizon consistency means people can let these agents run for longer and trust them.
So much of software engineering is actually maintenance and fixing bugs, not building new software. If you can free up their time by having Devin automatically start responding to bugs, that would be massively helpful. We are seeing the new Claude models getting quite good at using third-party MCPs to look at logs and incidents.
## As coding itself gets easier with AI, how do you think about where Cognition focuses?
**Scott:** One thing that happens now that the part of writing the code gets so much easier is you actually start thinking about all the other parts of the process and how to really optimize this.
I really don't believe that there's just a single product for all of code or all of software engineering. The question for us has always been, what is the thing that we really want to narrow in on and focus on above all else? And how are we going to make that into a true best-in-the-world experience? For us, that is largely the entire flow of how you work with and use a full remote agent.
## Looking ahead, what are you most excited about?
**Scott:** I love typing code, but I don't think it's something that we'll need to do for all that much longer. Right now, our engineers at Cognition don't type code anymore. You can just give instructions and prompts to your agents and have them go work on it. We're pretty quickly getting to a world where you can really just work with the specs and diagrams of what you want your product to be, and English can be the source of truth of how we build software.
That's exciting because it means way more people will get the chance to build software of their own. Walden has this line I've always loved: for so long we've all been living in survival mode of Minecraft, and pretty soon we're going to be in creative mode. It really feels like we’re living in the golden age of software engineering. There’s so much more for us to do together than separate, and that’s what we’re excited about.
**Walden:** The far-out vision is Devin not just being an IC engineer, but giving it much higher-level goals, having it come up with its own tasks, and spin up its own engineering team to go execute on.
Choosing the right Claude model
Learn when to use Haiku, Sonnet, or Opus to get better results and stay inside your rate limit. A practical guide to picking the right Claude model.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## coinbase-claude-platform-api-case-study-claude-by-anthropic-40155bfbcb.md
# Coinbase enhances customer support and operational efficiency with Claude
[Try Claude](https://claude.ai)
Industry:
Financial services
Company size:
Medium
Product:
Claude Platform
Partner:
Google
Location:
North America
99.9999%
availability for customer fund access
35-50 apps
built with internal CB-GPT platform
Coinbase, a leading cryptocurrency exchange, uses Claude to power its AI-driven customer support chatbot, agent assist tool, and help center search. This enhances customer experiences and improves operational efficiency across its platform, supporting over 100 geographies and \$226 billion in quarterly trading volume.
With Claude, Coinbase saw:
- Increase in automation rate for their customer-facing chatbot
- Reduced customer service handling time
- Significant improvements in search relevance for their AI-powered help center
- Ability to handle thousands of messages per hour
- Support for several million users
## Addressing scalability and consistency in crypto customer support
With unpredictable spikes in trading volume and customer inquiries, Coinbase needed a flexible AI solution to automate routine inquiries, assist human agents, improve help center functionality, scale rapidly to handle demand surges, and maintain strict security and compliance standards.
Varsha Mahadevan, Senior Engineering Manager at Coinbase, explains, "The crypto economy presents a distinct challenge due to its unpredictable nature. Traffic patterns are volatile, with sudden and intense spikes in activity. This demanded a solution that prioritized high availability to handle these surges seamlessly."
## Selecting Claude for performance, flexibility, and security
Coinbase chose Claude for its performance, multi-cloud flexibility, and robust security features. Varsha Mahadevan, Senior Engineering Manager at Coinbase, emphasizes, “Claude outperformed all competitors in our internal tests, making it the top choice for our needs. Its performance and availability in AWS Bedrock and Google Cloud were key in our decision.”
Coinbase's multi-cloud strategy with Claude addresses challenges in the volatile crypto market. Mahadevan explains, "In our industry, it's essential that customers have uninterrupted access to their funds. We're committed to achieving 99.9999% availability for near-constant uptime and reliability." This approach ensures high availability and effective load balancing, and enhances security through redundancy. The multi-cloud setup optimizes performance and cost by managing AI model quotas across different cloud platforms.
Mahadevan adds, "Anthropic's multi-cloud solution stands out for its scale, performance and security, aligning with our operational needs and customer expectations. It exceeded our performance benchmarks and met all our security requirements, making it the ideal solution."
## Implementing Claude across customer-facing and internal systems
Before releasing their conversational AI system, Coinbase engaged in several collaborative sessions with the Anthropic team. Coinbase guided Anthropic through their system architecture and shared the prompts used in their AI chain. Anthropic provided feedback, best practices, and tips for optimizing Claude prompts. Coinbase incorporated this feedback into their implementation, refining their approach based on Anthropic's expertise. Additionally, Anthropic shared examples of their own complex internal prompts, inspiring Coinbase to structure their instructions to Claude more effectively.
Coinbase integrated Claude into three key systems:
- Customer support chatbot: An agentic system using Claude for query rephrasing, response generation, and output styling, with robust financial compliance guardrails.
- Agent assist tool: Helps human agents draft responses, explain procedures, and access relevant information. Mahadevan noted, "It's highly efficient to not spend time or effort refining responses in multiple languages for the customer."
- Help center search: Uses Claude to enhance result relevance and generate concise answers, leveraging Coinbase's existing knowledge bases and customer data.
Coinbase also created CB-GPT (Coinbase GPT), an internal platform for building AI-powered applications for rapid experimentation and development. Mahadevan reports, "We've built over 35 to 50 applications." CB-GPT allows teams to quickly prototype and launch new AI use cases, supporting the company's vision of providing AI assistance for all employees and customers.
## Improving support efficiency and customer experience
The customer support chatbot has increased automation, resolving more inquiries without human intervention. The AI assistant has also improved average handling time for human agents, enabling faster customer service.
Claude has successfully managed unpredictable cryptocurrency trading volumes and support demands. This has given Coinbase flexibility to handle traffic spikes while maintaining high-quality support.
Coinbase's AI tools have also sped up onboarding and increased support staff productivity. Mahadevan highlighted the benefit, "New agents join weekly and require proper training and familiarity with procedures. This Agent Assist chatbot streamlines onboarding by enabling them to query knowledge bases, offering multi-lingual support, and efficiently processing a wide range of unstructured text inputs."
## Expanding AI capabilities to transform the crypto experience
Coinbase is excited about generative AI’s potential to transform their business. Future plans include expanding personalized support enriched with customer data, applying AI across more business functions, developing custom fine-tuned models for specialized tasks, and exploring AI applications in crypto trading, security, and product development.
Mahadevan outlines AI's impact on Coinbase and its customers: "AI frees up hours each week for employees across various roles. It's not just about doing more of the same work; it's about exploring new frontiers. It's about unlocking new value and possibilities for our employees. Our vision is two-fold: AI support for every customer and employee."
Coinbase sees Claude as a key partner in achieving their mission.
> Once in three decades a technology emerges that impacts every function in an enterprise. I'm optimistic about this and excited to bring this power to Coinbase. We think Claude will help Coinbase build solutions for different customer segments and bring a billion customers to the crypto economy.
— Varsha Mahadevan, Senior Engineering Manager at Coinbase
## Related stories
### How Qonto delegates financial admin for small businesses with Claude on Amazon Bedrock
### Pictet turns weeks of work into hours with Claude Code
### How Satispay's engineers write 75% of their code with Claude
### OffDeal powers every stage of M&A advisory with one Claude-based agent
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## copy-ai-claude-platform-api-case-study-claude-by-anthropic-28fd244d07.md
# Copy.ai accelerates content creation and reduces costs with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
4x increase
in content output
75% reduction
in content creation costs
Copy.ai, a leading GTM AI platform, uses Claude to help marketing teams generate high-quality content faster and more cost-effectively. By leveraging Claude's advanced language capabilities, Copy.ai enables its customers to streamline their content workflows and significantly reduce outsourcing costs.
- 4x increase in content output
- 75% reduction in content creation costs
- 40% of content generation powered by Claude
- Improved brand voice consistency across content
## Empowering marketers with AI-driven content creation
Copy.ai helps go-to-market teams concentrate on strategy rather than routine, time-consuming tasks. The company developed an AI-powered platform used by millions of professionals to simplify their most critical GTM workflows. Using AI, its software facilitates everything from content creation and localization, to outbound prospecting and deal coaching.
Many of these capabilities are powered by Claude. Copy.ai chose Anthropic because Claude can go beyond simple text generation to deliver complex cognitive tasks well-suited for marketing and content creation, where creativity and brand consistency matter.
"As early adopters of Claude, we've been significantly impressed with every version Anthropic releases," says Chris Lu, Co-founder at Copy.ai. "Each version of Claude has delivered more accuracy, speed, and task performance. Now, we're excited to be using all Claude 3 models: Opus, Sonnet, and Haiku."
## Enhancing content quality and creativity with Claude
Copy.ai has incorporated the Claude 3 model family across most of its generative AI products, especially to transform unstructured information into polished, on-brand content for marketers.
For example, Copy.ai uses Claude for the following:
- Long-form content generation: Claude powers the creation of blog posts, articles, and thought leadership pieces from interview transcripts or brief outlines.
- Brand voice adaptation: The platform uses Claude to maintain consistent brand voice across various content types and authors.
- Research and fact-checking: Claude helps gather and incorporate relevant statistics and facts to substantiate content claims.
"In the content creation field, quality and creativity are critical. Marketers need to have confidence in the outputs being generated," says Kyle Coleman, Chief Marketing Officer at Copy.ai. "Claude enhances our content solutions at Copy.ai by helping us deliver more human-like, creative content and empowering marketers to produce crucial materials that can significantly impact their marketing efforts."
Claude also provides the level of security and ethical AI that Copy.ai needs to keep customer information safe. These capabilities make Claude ideal for Copy.ai's clients, who require both creative outputs and responsible AI use.
"We take security and ethics extraordinarily seriously," says Lu. "We realize the tremendous trust that our clients place in us by choosing to put their brand information into our systems. Security and responsible AI were first and foremost when we chose AI technology, and Claude's robust features have consistently exceeded our expectations."
## Reducing content creation costs while boosting output and quality
With Claude, Copy.ai has seen multiple benefits for both their internal operations and their customers. Trust is paramount in the marketing industry, and using Claude, the company offers AI technology that clients can rely on without hesitation. Claude produces high-quality, creative content that minimizes the need for extensive editing and revisions.
Additionally, Claude models are adept at maintaining brand consistency and uncovering creative angles that humans may overlook, which can completely change the way a marketing team approaches their content strategy.
Copy.ai has also boosted client productivity since integrating its solution with Claude models. With tools powered by Claude, marketing professionals can complete routine content creation tasks much faster and at a fraction of the cost. "Some of our customers have gone from spending \$15,000 to \$20,000 a month on content creation with writers, freelancers, and agencies to now spending less than 20% of that," says Coleman.
Copy.ai's tools reduce workloads for marketing teams by enabling them to produce four times the output for a quarter of the cost. This efficiency also helps companies save resources by decreasing the need for expensive outsourcing and reducing overhead costs associated with content production.
"We're seeing customers go from publishing one blog post a month to a blog post a day," says Lu. "That's a massive difference in terms of content output and potential marketing impact."
## Looking ahead
In the future, Copy.ai hopes to enhance content workflows even further by integrating advanced features into its platform. Claude will continue to serve as the foundation of the company's AI capabilities, powering increasingly sophisticated and creative content generation tools.
"I envision a day where a marketer could make a note in Copy.ai, and then an AI assistant could ask, 'Would you like me to draft content for these topics?'" says Coleman. "Once we get to that level of intuitive, AI-driven content creation, we're going to see even more efficiencies and creative possibilities for marketers."
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## cove-claude-platform-api-case-study-claude-by-anthropic-bc6d29f755.md
# Cove creates the future of visual AI collaboration with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
30% faster
response times compared to previous solutions
Optimal performance
with best-fit Claude model pairing
Cove is pioneering a new way to interact with AI through a visual workspace, where users think alongside an AI collaborator. Unlike traditional chatbots or AI assistants, Cove provides a canvas-like environment for exploring ideas visually and non-linearly, mimicking natural thought processes. By implementing multiple Claude models, Cove has created an intelligent thought partner to help users tackle complex projects and ideas.
By integrating Claude, Cove:
- Improved response accuracy and context understanding
- Saw 30% faster response times compared to previous solutions
- Achieved optimal performance by pairing best-fit Claude models to different use cases
## Reimagining human-AI collaboration
Founded by veterans from Google Maps, Uber Eats, and Stripe, Cove aims to create a new paradigm for human-AI interaction.
Instead of a single chat thread, each Cove session takes place in a visual workspace. When a user asks a question, AI streams answers into the workspace in the form of cards. The user can also add cards containing text, tables, images, webpages, and PDFs—each element becomes shared context between the user and the AI.
The user and the AI can both edit all content in the workspace, allowing them to build off each other’s ideas. Cove’s AI can even make precise edits without having to re-stream a whole answer. Every step of your journey, Cove suggests many possible next steps, so you’re never stuck.
“People come to Cove to collaborate with AI on a variety of personal and work projects,” says Stephen Chau, co-founder of Cove. “Just some examples include planning kids' birthday parties, building exercise and meal plans, working on business plans, finding sales prospects, designing home renovations, and more.”
## Why Cove chose Claude
Cove evaluated various large language models before selecting Claude. "We were initially uncertain if LLMs could support our ambitious product vision," explains Chau.
Fulfilling this vision required complex prompting. Andy Szybalski, co-founder and design lead, explains, "Our prompt is complex because there are many commands we want the LLM to access for manipulating the workspace—creating cards, editing text, adding columns to tables. We need to be very prescriptive about syntax in some places while requiring extreme creativity in others. Finding a model that excels at both was crucial."
Throughout their rigorous testing, Claude consistently outperformed alternatives.
> Having worked with many different models, sometimes you reach a point where no matter how you phrase something, the model just stops listening and feels like it has a mind of its own. With Claude 3.5 Sonnet, it keeps listening and follows instructions more reliably.
— Mike Chu, co-founder and engineering lead
Chu also highlighted Claude’s large context window and prompt caching as key differentiators. "Claude's larger context window allows for nuanced steering of responses in a cost-effective way.” Chu adds, "We cache about 70% of our prompt, mostly examples that drive good outcomes for our users.” The Cove Sidebar browser extension also makes use of Claude’s large context window, allowing users to tap into Claude’s reasoning ability alongside their existing workflows.
Finally, Chau highlights the importance of Claude's tone, saying, "We think of Cove as your AI thought partner. In considering the best collaborative partnerships you've had, the tonality is a big part."
## Inside Cove’s dual-model architecture
One particular challenge is Cove’s requirement for both advanced reasoning ability and fast response time. In order to balance these needs, the team leverages two different Claude models for specific functions:
Claude 3.5 Sonnet is used for much of the core reasoning:
- Interprets user input and determines how to respond
- Edits and manipulates items in workspace
- Generates new content in workspace
- Example: When a user starts a new project, Sonnet analyzes the request and determines the initial cards, content, and other visual elements needed
Claude 3 Haiku is used for real time interactions where speed and cost are key:
- Provides contextual suggestions as users work
- Generates low-latency responses for dynamic interface updates
- Example: As a user edits a table, Haiku might suggest adding relevant columns or expanding certain points
"After Claude 3.5 Sonnet generates an answer, we immediately trigger Claude 3 Haiku for quick suggestions, creating a seamless experience for users," explains Chu.
## The future of collaborative thinking
Cove envisions a future where AI is integral to complex thinking and problem-solving. "Imagine having an AI thought partner with all the helpful context you need. You also have a workspace to workshop ideas and problems, one that is transforming and improving based on how you’re interacting with AI." As Cove helps more users work through complex tasks, the team will be able to use this data to further improve the AI’s capabilities as a thought partner.
As Cove evolves, the team remains focused on their core mission: empowering people to think brilliantly. Chau emphasizes, "We are excited to see models like Claude continue to advance their capabilities in reasoning and thinking. We hope Cove will be the user interface that complements these model advances so that people can get the most out of AI." With Claude's advanced capabilities at its core, Cove is poised to redefine human-AI collaboration, ensuring that in the future, no one has to think alone.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## cox-automotive-claude-platform-api-case-study-claude-by-anthropic-c958b1b829.md
# Cox Automotive transforms car sales with Claude in Amazon Bedrock
[Try Claude](https://claude.ai)
Industry:
Professional services
Company size:
Large
Product:
Claude Platform
Partner:
AWS
Location:
North America
2x increase
in consumer lead responses and test drives
80% positive
feedback from sellers using AI listings
Cox Automotive, the world's largest automotive services and technology provider, is leveraging [Claude in Amazon Bedrock](https://aws.amazon.com/bedrock/claude/) to generate high-quality, tailored content across its portfolio of software solutions, helping dealers and consumers save time on marketing, vehicle merchandising, and routine communications.
With Claude, Cox Automotive is delivering client and consumer benefits, including:
- More than doubling consumer lead responses and test drive appointments through the VinSolutions CRM platform.
- Achieving 80% positive feedback from sellers using AI-generated listings descriptions.
- Reducing dealer website content creation time through managed services platform, achieving same-day deliverables for blog posts and landing pages while also maintaining SEO performance and generating more than 9,000 client deliverables to date.
## Meeting modern automotive industry challenges
Fueled by the largest breadth of first-party data and fed by 2.3 billion online interactions a year, Cox Automotive tailors leading solutions for car shoppers, auto manufacturers, dealers, lenders and fleets. The company has a portfolio of industry-leading brands that include Autotrader®, Kelley Blue Book®, Manheim®, vAuto®, Dealertrack®, NextGear Capital™, CentralDispatch® and FleetNet America®.
Over the past decade, their data teams moved from siloed operations focused primarily on vehicle valuations to building a centralized, governed data platform that powers AI applications across all its solutions.
## Why Cox Automotive chose Claude
As Cox Automotive started exploring generative AI, they needed a solution that matched their rigorous standards for enterprise deployment. Early on, the team built a sandbox environment to methodically evaluate major large language model providers through direct API testing.
Claude stood out for its strong performance across three critical metrics: latency, cost, and accuracy. Ben Flusberg, Chief Data Officer at Cox Automotive, said, "Claude consistently ranks among the most advanced generative AI models available, and continues to push innovation forward with each update." The team particularly valued Claude's model family approach. "The flexibility of having Sonnet and Haiku models easily available via API in Amazon Bedrock lets us optimize for latency, cost, and accuracy based on each specific use case."
Cox Automotive could select Claude 3.5 Sonnet for complex tasks requiring deeper comprehension, like analyzing its internal data catalog and generating detailed dataset table and column descriptions, while using Claude 3.5 Haiku for high-volume, rapid-response scenarios. This flexibility allowed them to balance performance and cost across their diverse automotive use cases.
As a long-time AWS customer, Cox Automotive also found that accessing Claude models through Amazon Bedrock significantly streamlined their generative AI deployment. "Integrating Claude through our established technology infrastructure made everything easier," said Flusberg.
## How Claude powers automotive content creation and personalized communications
Cox Automotive is currently leveraging Claude to enhance three key products:
- **VinSolutions CRM** transforms dealer-consumer communications by generating personalized emails and texts based on real consumer shopping interests. The system verifies vehicle information against Cox Automotive's proprietary database, ensuring accuracy while driving more engaging dealer-consumer interactions that lead to appointments and sales.
- **Autotrader Private Seller Exchange (PSX)** powers consumer peer-to-peer vehicle sales by automatically generating compelling used vehicle listing descriptions. The system combines seller input with verified vehicle data, while maintaining human review and editing to ensure quality and accuracy. enabling private parties to market their vehicles more effectively while maintaining marketplace trust.
- **Dealer.com managed services** creates SEO-optimized blog posts and landing pages for dealer websites that previously took multiple days to produce manually. This content maintains each dealership's unique voice and can be tailored for specific audiences, leveraging Cox Automotive's deep vehicle knowledge for technical accuracy. Through these enhancements, Cox Automotive clients are getting high-quality marketing content online faster than before.
Additionally, Cox Automotive is using Claude to improve its own internal data governance processes. Leveraging sparse metadata as a starting point, the system generates comprehensive descriptions of datasets within their enterprise data platform. This enhanced data foundation enables teams across Cox Automotive to better understand and utilize data assets, reducing friction and creating a flywheel effect for powering further AI applications.
In all these cases, Cox Automotive's systems present the AI-generated content to the user for validation and acceptance, providing an extra layer of oversight to ensure accuracy.
## Building an AI-powered future for the automotive industry
Cox Automotive sees AI as key to transforming the automotive industry through differentiated customer experiences and more streamlined operations. They invest heavily in maintaining a high-quality data foundation, generating actionable intelligence across automotive domains, and fostering a data-driven culture of testing and learning. Their methodical approach to AI innovation guides their strategy. Flusberg said, "Driving value for our customers and for consumers is our North Star. We seek ways to improve processes using data and AI, and then we prove it out through rapid prototyping." This focused experimentation allows Cox Automotive to move from successful pilots to broader implementations that benefit their entire ecosystem. By combining their automotive expertise, vast connected data resources, and Claude's cutting-edge capabilities deployed in Amazon Bedrock, Cox Automotive is well positioned to continue leading an AI-driven transformation across the automotive industry.
## Related stories
### Caylent turns months of migration work into days with Claude Agent SDK
### How can a two-person fabrication studio make room for problems it’s never solved before?
### LG CNS modernizes 20-year-old enterprise systems with Claude
### How Blank Metal, a lean professional services firm, runs on Claude Cowork
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
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## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
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## Resources
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## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
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## Platform
- [Overview](/platform/api)
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## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
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- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## cox-communications-amp-accenture-claude-case-study-claude-by-anthropic-0daf6ab40d.md
# Cox Communications drives a 7x return on AI across its B2B funnel with Claude and Accenture
[Contact sales](/contact-sales)
Industry:
Telecommunications
Company size:
Large
Product:
[Claude Platform](https://claude.com/platform/api)[Claude Code](https://claude.com/product/claude-code)[Claude Cowork](https://claude.com/product/cowork)
Partner:
AWS
Location:
North America
7x ROI
on Cox Communications' first year of AI investment
55% faster speed to market,
an early indication of a 2-point lift in B2B conversion, and 40% higher efficiency
*June 29, 2026*
[Cox Communications](https://www.cox.com/residential/home.html) is the largest private broadband provider in the United States, with 15,000 employees serving six million customers over a fiber network that reaches roughly 12 million homes and businesses. Its commercial business sells broadband, wireless, and connectivity to companies of every size. Cox set out to rebuild how it markets and sells, working with Claude and its strategic transformation partner Accenture.
## With Claude, Cox Communications:
- Achieved a 7x return on its first year of AI investment
- Drove 55% faster speed to market, an early indication of a 2-point lift in B2B marketing conversion, and 40% higher campaign efficiency
- Cut the cost of validating and enriching sales leads by 86%, with accuracy up from 18% to 97%
- Generated personalized campaign content across 120 micro-industries and eight customer segments
- Cut the prep a seller does before a sales call from hours to minutes
- Scaled to ~2,500 Claude Code users, more than half of them outside engineering
## The challenge
## A growth engine that had run out of room
Adopting AI across a company of this size was a challenge in itself: standardizing on tools teams could trust, getting people who had never written code building safely, and deciding what was worth building at all. Leadership set three priorities: revenue growth, customer experience, and cost. Growth was the top priority, and the hardest to deliver.
In the B2B segment of the business, the growth had slowed and was ready for a new playbook. For years, Cox had pushed the same broad campaigns to everyone. "The one-to-many marketing approach was no longer delivering the growth we needed," said Sarah Kim, Head of Marketing for Cox Business. "To meet our revenue ambitions, we had to shift to a more targeted, personalized approach and orchestrate engagement seamlessly from awareness through close. AI became essential to operationalize and scale this new go-to-market model across marketing and sales."
Field sales ran on fairly manual effort. A seller heading to a street of small businesses would open Salesforce, research each prospect by hand, and assemble a prep sheet, sometimes printing it to carry to sales meetings. The data underneath was the real problem: lead lists ran only about 13% accurate and were expensive to build, which sent sellers and marketers chasing prospects that went nowhere.
Eric Pace, who leads Cox's AI Center of Excellence, had been fielding the same request from leadership for five years. "We want actual marketing automation," he said, "not automated steps in the flow, not more SaaS applications that make it easier for humans to do what they're already doing." Until recently, the building blocks for that kind of automation did not exist.
Q&A: Cox Communications
Cox Communications President Mark Greatrex sat down with Anthropic to talk about rolling out AI to 15,000 people.
## The solution
## A trusted partner, a default model, and a stack they could monitor and control
To rebuild its B2B marketing and sales, Cox partnered with Accenture, a strategic transformation partner already embedded across the company. Before any product, the two settled the operating model: how execution would run between the traditional IT teams and the new AI Center of Excellence. "We had to make the operating model concrete, down to almost a task level, across the AI product development life cycle,” said Katherine Mohrig, who leads the Cox engagement at Accenture. “vs. high level, directional hub-and-spoke.”
Accenture's approach was to expand the foundation Cox already had rather than impose a top-down program, seeding champions across the company's different technology stacks and training teams to train others. From there, Accenture built the products: the marketing and sales agents, and the harnesses with context and data systems. Cox steered the work to its highest-value priorities.
Claude Code changed how fast that building went. "Only about 25% of our time is spent on actual development," Mohrig said. "The majority of our effort is data enrichment, validation and cleansing, security gateways, and partnering with the business for testing and buy-in."
#### A default model, accessed with control
Cox runs primarily on Amazon Web Services (AWS), and Claude was the natural default. The team's side-by-side comparisons on its own use cases confirmed it. "If you're going to work in AWS, use Anthropic by default," Pace said. "The outputs are more aligned to the business problems we're trying to solve, and they align to our responsible AI principles." For a 128-year-old family business, that responsible-AI focus mattered as much as performance. "We do good, we don't do harm," said Mark Greatrex, the company's president.
Cox accesses Claude through Amazon Bedrock, which Matthew Shorts, who runs the infrastructure organization at Cox, chose because it "already extended our existing footprint, and it fit very well into our security and observability principles that we already had across the organization." Amazon Bedrock let Cox apply the same tooling and governance to Claude that it used for its other models, including the open-weight models it runs and fully controls on-prem. "We have a strong runtime security requirement, so we can view all calls in and out and potentially jump in and stop if it starts to drift from standards," Shorts said, whether that meant straying off-brand or against the company's data-protection rules. Building on Amazon Bedrock kept Claude inside the observability and guardrails Cox applied everywhere else.
#### Marketing: the CAMI agents
With the model and its controls settled, the work turned to the products themselves. The first went to marketing and sales, a family of agents the team named "ami," French for friend. Cox's B2B unit markets across 120 micro-industries and eight customer segments, a level of personalization the legacy one-to-many campaigns could not reach. Working from a shared knowledge base, the marketing member of the suite, CAMI (Content and Audience Mapping Intelligent assistant), generates the campaign brief, plans the work, and produces content tailored to each micro-industry and segment, factoring in how many products a customer already has, how they use them, and what competitive intelligence suggests about their area.
A single campaign can produce roughly 32 pieces spanning marketing content and sales collateral, all of it flowing into Salesforce, for 50-100 campaigns annually. The B2B marketing team runs its campaigns through CAMI, and the personalized content began lifting conversion where the broad approach had stalled and getting campaigns to market faster.
#### Sales: SAMI, from prep to order fulfillment
Sales came next. SAMI, the sales side of the suite, picks up where CAMI leaves off, running on Claude through Amazon Bedrock like the rest of the ‘ami’ agents. SAMI can help proactively identify high priority opportunities for a seller, and then help them pursue it. Where a seller once built a prep document, a call script, or a customer email by hand, SAMI assembles it automatically: account history, product usage, prior call-center sentiment, propensity to buy, and a recommended, micro-industry-specific script, alongside competitive intelligence pulled from public signals.
New capabilities in development let a seller dictate notes between visits and have the system enrich the opportunity and update Salesforce. The suite reaches further down the funnel, too, helping order-fulfillment specialists organize and execute their work. All of it shares the knowledge base and connects to Cox's tools through the Model Context Protocol (MCP).
#### A cleaner data layer: The Cube and lead validation
The agents were only as good as the data beneath them, so the team rebuilt that layer too. The result is an AI-curated data architecture, six-layer model Cox calls The Cube. The lower layers references the classic machine learning the company already has, and adds new signals and feature stores. The upper layers, Pace said, are "where we inject Claude models behind the scenes to drive insights or intelligence that we couldn't get before."
On that foundation, Cox built data products to fix specific problems, starting with the unreliable, expensive-to-build lead lists. A validation pipeline now uses Claude to research and verify each lead, turning messy lists into clean, usable records. To keep costs down, Cox matches the model to the task: Haiku for retrieval and summarization, Opus for the heaviest reasoning, and Sonnet in between.
#### Citizen development with Claude Code
The enterprise products were only part of the build. Cox opened Claude Code to its broader workforce, and adoption ran well past engineering to roughly 2,500 people, more than half of them in non-technical roles. Employees built their own agents with Claude Code, separate from the enterprise systems built with Accenture. The marketing team, for one, used it to fill the gaps those systems left. Cox kept that work governed, with guardrails and open visibility into usage and spend, rather than letting it become shadow IT.
#### An agentic engine for the whole funnel, now in pilot
The most ambitious system is still in pilot. Cox and Accenture are building an agentic go-to-market capability that runs from a prospect's first signal all the way to contract close. It generates and places ads through Amazon Ads, builds a tailored landing page for each prospect, and moves the opportunity along on its own. Rather than script every step, the team gave the agent room to define its own process. It tunes itself against goals like qualified-opportunity conversion and velocity, and carries lessons forward through persistent memory. Humans don't run the funnel; they validate, oversee, and audit it.
Guardrails were added around brand, action, profitability, and spend. "You can't spend \$10,000 on Amazon ads to acquire this customer who will spend \$1,000 total," Mohrig said. “But the agent can choose to place an ad if it believes that will further its goals, and it will generate content for that ad.”
To capture the judgment that used to live only in people's heads, Accenture also built a "Skill Studio" where business users document tacit knowledge as reusable skills the agent calls on when it needs them.One of the skills includes how to interpret competitive data and formulate actions from it. The majority of these skills are optional, meaning the agent can choose to leverage them but is not required to. The agent can also modify skills over time as it optimizes its actions and learns based on its results.
Cox is running the pilot on a broader segment of small business buyers who purchase a single product digitally, a slice challenging to serve with dedicated human attention. The target is on the order of 1,000 new customers in four to six weeks. Pace frames it as a chance to "push the envelope and test our chops" on what an agentic system can do.
Cowork
Give Claude access to your local files and let it complete tasks autonomously. Agentic capabilities for non-technical knowledge work.
[Read more](/product/cowork)
## The outcome
## Tangible returns, and a template to scale them
The clearest proof is at the top line. Cox saw a 7x return on its first year of AI investment, a number Greatrex's team tracked deliberately by building business cases and reading back the ROI. That result, and the ones beneath it, kept the company investing even as other discretionary work was trimmed.
Underneath the top-line return are the operational gains. The marketing suite drove 55% faster speed to market and saw an early indication of a 2-point lift in conversion, as well as 40% higher efficiency. Cox redeployed that capacity against new growth rather than cutting. Lead validation got cheaper and more reliable at once: the cost to validate and enrich a lead fell by 86%, accuracy climbed from 18% to 97%, and each lead now processes in under a minute, so sellers spend their time on prospects worth pursuing. On the sales side, SAMI cut the work a seller spends preparing for a call from hours to minutes.
The cost of running these systems is real, and so far the value has outrun it. "Every time we show up, we say, 'Yes, this sounds expensive, but look at the value it's producing,'" Pace said. "And they say, 'Okay, keep going.'"
Iteration sped up too. "You're not doing traditional A/B testing where you do a hundred a year," Shorts said."You're doing a hundred or more a day, because you've been able to make those changes that much quicker and with less risk."
The agentic go-to-market pilot is meant to prove a pattern the company can repeat across every function. "It's a blueprint we can apply everywhere," Pace said, "ultimately driving toward our goal, which is to make the company 10x what it is."
## Related stories
### Cox Communications on scaling Claude across largest privately-held telecom company in US
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## cox-communications-claude-code-case-study-claude-by-anthropic-22b910c908.md
# Cox Communications on scaling Claude across largest privately-held telecom company in US
[Try Claude](https://claude.ai)
Industry:
Telecommunications
Company size:
Large
Product:
[Claude Code](https://claude.com/product/claude-code)[Claude Cowork](https://claude.com/product/cowork)[Claude Enterprise](https://claude.com/solutions/enterprise)
Partner:
AccentureAWS
Location:
North America
7x ROI
on the first year of AI investment
~2,500 Claude Code users,
more than half of them outside engineering
Cowork
Give Claude access to your local files and let it complete tasks autonomously. Agentic capabilities for non-technical knowledge work.
[Read more](/product/cowork)
*June 25, 2026*
[Cox Communications](https://www.cox.com/residential/home.html) is a family-owned company and the third-largest cable provider in the United States, serving six million customers over a fiber-powered network that reaches roughly 12 million homes and businesses. Mark Greatrex, the company's president, and Eric Pace, who leads its Center of Excellence for AI, sat down with Anthropic to talk about rolling out AI to 15,000 colleagues, why leadership and values shaped the path, and what they are building next.
## Anthropic: Cox has been around for a long time, serving millions of residential and commercial customers across the country. How has your approach to AI evolved to get you here?
**Mark Greatrex, President, Cox Communications:** When I arrived as chief marketing and sales officer, we had a big focus on data, marketing and sales science, and on ROI. We then applied machine learning to network management, to real-time decisioning for revenue growth, and to retention, which built the capability to embrace AI early. We created our Center of Excellence for AI in 2024, and I asked for three things: AI to accelerate profitable revenue growth, which is our number one priority; AI to step-change customer experience; and AI to take real cost out of operations.
## What's the biggest barrier to getting 15,000 people to actually adopt AI?
**Eric Pace, Head of AI, Cox Communications:** The first barrier to adoption is literacy, and the second is leadership support. If your leaders aren't talking about it, using it, and demonstrating publicly that these things are okay, and that they're not here to take jobs but to amplify the work people do, you won't see the adoption you need. Without Mark standing up and showing we're behind it, it would be very hard to sell our value proposition to the rest of the company.
## With so many possible places to apply AI, how did you decide where to focus?
**Pace:** Mark created a space where he said: revenue growth, experience, and expense are our focus, but you have carte blanche to find the best ways to get the benefits. When you give a team that kind of freedom inside a clear framework, you can run with it in really innovative ways. Most companies we talk to are going after efficiency AI, which everyone needs. But Mark pushed us to pay attention to top-line growth and experience too. The governance we had in place let us say no to a lot of ideas and focus only on the ones we believed would drive real benefit.
**Greatrex:** I trust our teams: We set a high bar, create a framework, and in return Eric and the team gave us security, governance, and the discipline to build the business cases. They've earned the credibility to decide which are the best tools.
## How much do the values of an AI partner factor into which AI companies Cox works with?
**Greatrex:** As a business leader, I've become much more discerning about the values of the LLM partners we work with. When I look at who's in the consideration set, I ask who is going to shape and steer a path to the responsible use of AI. Anthropic comes to the fore. That matters enormously to us. We're a family-owned business focused on doing good. The responsible use of AI is huge, and I lean toward the partners where I see that values alignment.
**Pace:** That alignment of company values made it easy. Our default guidance to teams is: if you're going to use an LLM in the cloud, use Anthropic through Amazon Bedrock unless there's a specific reason to deviate. A lot of what we need in order to adhere to our responsible AI principles comes out of the box. With other options, we'd have to go double down on some of that. There's a trust layer with Anthropic that makes the alignment to those values very easy for us. When teams run their own comparisons, the results back it up. I've never seen anybody say, "I was using Claude and I found this other model was better."
## What has your team actually built with Claude so far?
**Pace:** We've built a set of multi-agent systems, all backed by Claude through Bedrock, against our B2B marketing and sales funnel: lead validation and enrichment, campaign creation and brief execution, and seller enablement. Those are running in production now and starting to scale. On top of them, we're building our most ambitious piece: an agentic system that can take a whole sales segment from the first signal to a closed order.
## Claude Code is one of your biggest use cases. How is it being used, and has it spread beyond engineering?
**Pace:** We did an enterprise rollout of Claude Code before we ever gave anyone access to Chat or Cowork. So many employees were building their own agents on other platforms that when we told them we also had Claude Code, they rebuilt those workflows in it and started handing the hardest tasks off to richer environments Claude could help them build.
We're on our way to 2,500 Claude Code users and climbing, more than half of them non-development engineers, business folks building their own agents to see what happens in the "software for me" era. We give them guardrails and say, so long as you stay in this frame, happy hunting. Because we proxy all the calls through our gateway, we have visibility into everything they're doing. The way we put it: You have an everything maker and an anything doer, and you just have to be clear about what you want. If you're comfortable in an IDE, use Claude Code; if not, Cowork will get you there.
## Are the two of you using these tools in your own work?
**Pace:** The last 12 months have completely inverted how much I do with AI versus without, just because of how comfortable I've gotten in the CLI and the IDE. I use Claude Code for pretty much everything. I've also moved back upstream and started using Cowork for long-running research tasks. I built a personal-brand engine the other day in Cowork. After a couple of months, there's infinite power there for the everyday person.
**Greatrex:** I try to model behavior, and first and foremost that means being curious. I use Claude all the time now as my thought partner. It broadens my field of view, makes me a lot more creative, and a heck of a lot more productive.
## What results have convinced the business to keep investing?
**Greatrex:** We now know we got a 7x ROI on our first year of investment. And we've kept up the pace of AI investment even as a lot of our other discretionary development has been trimmed. The belief in AI has remained because of the results.
Claude on Amazon Bedrock
Build innovative AI applications with safer systems from Anthropic, supported by secure infrastructure from AWS.
## How did you bring skeptical leaders along?
**Greatrex:** We’re pioneering a new frontier so it’s natural to have some healthy skepticism. But it’s important to stay curious and open your mind to what’s possible. Eric and his team took building the business cases and reading back the ROI very seriously. I spent enough time with Eric to see the vision and the value, and I knew there was a real there there.
**Pace:** For example, we have a project we call The Cube. The Cube is a six-layer set of data and AI-generated inferences about customer behavior, built on top of the classic machine learning and data science we already had. What Claude adds is the layer on top. It's one thing for a classic machine-learning model to give you a churn prediction. It's another to extend that prediction, make it situational and context-aware, and then lay out all the situations in which we need to treat that churn, because churn isn't treated equally in every scenario. When you tell people you're going to *extend* ML models, they ask what you're even talking about. So you tell the same story a thousand times, you get Claude to help you rewrite it, and you have the conversation once more. Once you see it click in the room, the ideas start flowing, and that's when you go build something together.
## With 15,000 colleagues full of ideas, how do you keep the work from fragmenting into disconnected projects?
**Pace:** We're a company of 15,000 colleagues full of ideas, so we put them through a funnel: latitude to build, but in the construct we provide, where we can gate the use cases. I don't need a thousand flowers to bloom, I need 10 that produce value. We bring people together and say, before you build the thing, go talk to the team that already built it, and you can both use it.
## What are you most excited to build next?
**Greatrex:** One of the toughest challenges is finding new sources of profitable growth. If we can restart growth in our core business—whether residential broadband, wireless and video, or commercial services—that would be huge.
The one I want to crack is the revenue side. My expectation is that 70 to 80% of the value will come through effectiveness, not efficiency. We sell high-margin services, so if we can drive volume and revenue growth, that will dwarf any cost savings. I'm looking for demand generation and sales conversion.
**Pace:** The moment that proves the investment paid off is the prospect-to-order agentic function we're building for B2B marketing, where we go full lifecycle against an entire segment. Not with humans at the helm, but with humans auditing the right parts of the flow. We want the next three months to show us what the next three years could look like. Once we prove the pattern, we have a template we can take to any department in the company. I'm over the moon excited about it.
Claude Code
Anthropic's agentic coding tool. Claude Code understands your codebase, edits files, runs commands, and helps you ship faster.
[Read more](/product/claude-code)
## Related stories
### Cox Communications drives a 7x return on AI across its B2B funnel with Claude and Accenture
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## cred-claude-platform-api-case-study-claude-by-anthropic-73a0a2fe7d.md
# CRED accelerates fintech development workflows with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Large
Product:
Claude Platform
Location:
Asia Pacific
2x faster
execution speed for feature delivery and fixes
10% increase
in test coverage across codebases
CRED, a fintech platform serving over 15 million users across India, uses Claude to transform their software development lifecycle and deliver features faster without compromising quality.
With Claude, CRED achieved:
- 2x faster execution speed for delivering features and fixes
- 10% increase in test coverage across existing codebases
- Greater testing and observability coverage
- Independent end-to-end project delivery for previously lower-priority initiatives
## Streamlining development cycles with agentic coding
CRED operates a financial technology platform that enables customers to manage credit cards, track credit scores, and monitor financial activity while earning rewards for timely payments.
The engineering team needed to accelerate development cycles while maintaining high-quality standards essential for financial services.
Our approach to AI at CRED was to rethink our core workflows to create a flywheel of faster research and decision-making cycles, driving higher-quality execution,” the team explained.
CRED needed an agentic coding solution to help them streamline processes across the entire software development lifecycle, from solution discovery and design to implementation and testing.
## Choosing Claude for superior programming performance
CRED's evaluation process led them to select Anthropic's Claude models over alternatives.
”We chose Anthropic's Claude models for their performance in programming-related tasks,” the team said.
Their adoption journey included two key inflection points that drove broader adoption and deeper usage across the development team.
The release of Claude Sonnet 3.7 significantly improved instruction handling and reasoning capabilities. However, the launch of Claude Sonnet 4.0 delivered the performance CRED needed.
"With Claude Sonnet 4.0's enhanced ability to follow instructions and act with precision, we've seen both broader adoption and deeper usage," they shared. Sonnet 4's ability to break down complex problems into actionable steps proved essential for their workflows.
It also outperformed other models in iterative development workflows, particularly the Build-Test-Fix loop. This ensured greater accuracy and reliability, critical factors for a fintech platform handling sensitive financial data.
## Accelerating delivery while improving code quality
After seeing success with the API to help automate parts of their design automation suite, the team underwent testing to implement Claude Code with powerful results. Claude Code is Anthropic's command line tool that enables developers to delegate coding tasks directly from their terminal. CRED used Claude Code to enhance their development process across multiple dimensions:
- **End-to-end development lifecycle**: Developers rely on Claude Code for identifying incremental solutions to writing, testing, and committing code across both new and existing projects
- **Complex task breakdown**: Claude Code breaks down complex problems into manageable steps while maintaining structured context management through features like [Claude.md](http://claude.md)
- **Repository documentation**: The tool generates clear, structured documentation for existing codebases, making them easier to understand and maintain across teams
These capabilities translated into immediate productivity gains that transformed CRED’s development approach. The tool enabled a fundamental shift toward agentic coding, solution discovery, and documentation.
"Our execution speed has improved by 2x, allowing us to deliver features and fixes faster," the team reported.
This acceleration didn't compromise quality; with Claude Code powered by Sonnet 4.0, they achieved a 10% increase in test coverage across existing codebases, leading to more robust and reliable software. The streamlined workflow also resulted in more reliable commits through better solution documentation.
Perhaps most significantly, Claude Code empowered team members to independently drive projects end-to-end.
"Claude Code has empowered team members to independently drive projects end-to-end,” they explained. “As a result, initiatives that were previously lower on the priority list are now being taken up and completed faster, helping us accelerate delivery on work that might have remained on hold."
## Building toward agentic development workflows
CRED envisions a future where AI transforms not just individual coding tasks but entire development methodologies.
”Next, our goal is to move toward agentic execution, where developers primarily focus on reviewing pull requests while Claude Code takes on the bulk of coding and testing," the team said.
Their roadmap includes implementing repository-level knowledge indexing, enabling the system to deeply understand and leverage the context of complex, multi-repository environments. The ultimate vision involves training Claude Code to make coordinated changes across multiple repositories using different programming languages, allowing developers to work end-to-end with greater efficiency and deliver larger impact across CRED's platform. CRED's transformative results underscore why Anthropic is growing it's investments in India this year, enabling deeper partnerships with the country's most innovative enterprises.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## crunched-claude-platform-api-case-study-claude-by-anthropic-43d505992b.md
# Crunched transforms Excel modeling for investors and advisors with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
\>50% time savings
on Excel modeling for finance and consulting workflows by leveraging Claude Opus 4.5 and Sonnet 4.5
10+ hours reduced to 1 hour
For core workflows of a \$100M real estate transaction analysis including tenant research, valuation model building, and analysis error validation
[Crunched](https://www.usecrunched.com/) is an AI Excel analyst built for Excel power users, serving management consulting, investment banking, private equity, and investment firms.
## With Claude, Crunched:
- Delivers up to 50% time savings across Excel modeling tasks for investor and advisor workflows, by leveraging Sonnet and Opus 4.5
- Error-checks models of any size, catching linking mistakes, logical flaws, and finance-specific methodology errors
- Enables autonomous model building and template linking that delivers up to 10x speed improvements on complex workflows
- Integrates data from PDFs, images, web sources, third party financial data providers, and customer-specific databases
## The problem
Consulting and finance professionals working on high-stakes deals face a persistent challenge: Excel modeling is manual, error-prone, and slow. Private equity associates spend days building financial models from investment memorandums under tight deadlines. Investment banking analysts waste iteration cycles when VPs catch linking errors and logical flaws in first-pass reviews. Consultants building market sizing models or business cases need granular, verifiable assumptions but lack time to gather and structure data from multiple sources.
Philip Borge and Michael Sakowski built Crunched after spending 10,000+ hours in Excel at McKinsey's private equity practice experiencing these exact problems. For the top 1% of Excel users worldwide, models are either the main deliverable or the backbone of every presentation. These professionals needed speed and accuracy to complete more deals, dive deeper into analysis, and deliver outputs their clients could trust.
"Excel modeling is too slow and too error-prone," said Borge, CEO and co-founder. "We were solving our own problem, and we knew millions of other finance and consulting professionals faced the same challenges."
## Claude enables high-speed, accurate modeling for power users
Crunched needed an AI foundation that could handle complex Excel models—workbooks with 50+ tabs and thousands of formulas—while maintaining accuracy on finance-specific calculations like DCF and LBO modeling. Before Sonnet 4.5, they built a sophisticated context searching and management system, their core differentiator, that gathers precisely the right information for each task, enabling accurate operations on workbooks of any size.
Sonnet 4.5 dramatically extended what that system could do. The model's parallel tool calling lets Crunched gather context from multiple workbook locations simultaneously, while its extended context window allows the system to process more information at once, reducing the risk of missing critical dependencies. Low latency enables the real-time iteration speed that power users demand. "Sonnet 4.5 is the best booster of our context searching system—it increased its range by a lot," said Sakowski.
Crunched builds financial and Excel-specific knowledge on top of Claude's foundation, augmenting the model with deep domain expertise in Excel modeling best practices, finance methodologies, and consulting frameworks. This includes proprietary logic and a dedicated system for detecting finance-specific errors that generalist Excel AI solutions on the market wouldn't catch—like logic of net working capital estimations, missing add-backs in cashflow calculations, or mislinked revenue assumptions across tabs. They evaluated multiple LLMs before choosing Claude for its combination of speed, accuracy on quantitative tasks, and reliable performance on complex, multi-step financial modeling workflows.
## Crunched brings AI-powered Excel analysis to finance workflows
Backed by First Round Capital, Y Combinator, 20VC and others, Crunched took a different approach to AI implementation. While generalist AI tools are increasingly adding spreadsheet capabilities, Crunched is purpose-built for the top 1% of Excel power users in investment banking, private equity, and consulting—combining Claude's foundation with proprietary solutions and forward-deployed tailoring to each firm's specific modeling and data integration needs.
"Driving Excel productivity is not only about building models from scratch" Sakowski explained. "Professionals aren't asking AI to create another DCF template—they already have those. They need help solving firm-specific pain points one at a time to drive productivity."
The forward-deployed model means Crunched solves concrete problems. For understanding and error-checking models, Crunched analyzes models of any size, identifying everything from linking mistakes to logical flaws and methodology errors specific to finance. Customers use the error-check as a review layer between analysts and VPs, where Crunched handles the first-pass model review. This saves iteration cycles, reduces embarrassing moments for analysts, and gives VPs higher confidence in the work they receive.
For financial model building and editing, Crunched fills out templates, links into input sheets, in addition to building out valuation models, business cases and analyses from scratch. When a private equity associate receives a counterpart's model and needs to link a "management scenario" into their own LBO model, Crunched handles it. When a consultant needs a fully-linked market model sizing the total addressable market for online beauty products in Florida, Crunched builds it with granular assumptions, verifiable rationales, and clickable links.
"Anthropic allowed us to be more specific in the workflows we tailor to, delivering higher time savings on tasks like building business case projections across all three financial statements for private companies based on Crunched's own research and uploaded investment presentations," Sakowski said.
For data gathering, Crunched pulls information from PDFs, images, web sources, and customer-specific external and internal databases. A private equity associate can upload an information memorandum and build an LBO with granular drivers and assumptions tailored to the specific case, arriving well-prepared for a first meeting. A consultant tasked with reviewing a business model can have Crunched scan all assumptions and assess whether they're optimistic, realistic, or pessimistic, complete with rationales and verifiable links to sources.
## The outcome
Customers report over 50% time savings on Excel modeling tasks with Claude Sonnet 4.5, with some workflows showing dramatic improvements: financial spreads that took 8+ hours now take 1 hour, and company write-ups dropped from 8 hours to 20 minutes. Crunched implemented the Claude integration in less than a day.
For an investment banking team, first-pass model reviews that typically required VP oversight now happen in minutes, reducing iteration cycles and accelerating deal timelines. A management consulting firm uses Crunched to build fully-linked market sizing models in hours instead of days, arriving at client meetings with granular, verifiable assumptions that strengthen recommendations.
For one real estate investor, the impact was immediate and measurable. A deal-specific task combining automated model building and web-based company research dropped from 10 hours to 1 hour—a 10x speed improvement.
Transactions happen under tight deadlines with finite resources. Senior dealmakers constantly identify analyses that would be valuable but remain too expensive given time and capacity constraints—the transaction size often doesn't justify allocating more associates to a deal.
With Claude Opus 4.5, Crunched enables this economically useful work that was previously cost-prohibitive. The pattern extends across project and deal types. Private equity teams bring full analytical rigor to early-stage deals that previously only received deep analysis at later stages. Investment bankers run additional scenarios that strengthen client recommendations. The ability to economically pursue inherently valuable analyses earlier and more comprehensively resonates with senior dealmakers across finance and consulting.
“We're fundamentally changing how power users work in Excel," Borge said, "Automating all grunt work, one pain point at a time, tailoring Crunched to each firms' specific needs."
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## cubic-claude-platform-api-case-study-claude-by-anthropic-f3f99c13f4.md
# cubic ships code 60x faster with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
60x faster
feedback cycle - 2 min vs 2 hours
28% faster
code shipping after 2 weeks
[cubic](http://cubic.dev/), an AI-powered code review platform founded by former Instagram and Meta engineers, uses Claude to help engineering teams ship high-quality code faster in an AI-first development world.
**Key results with Claude**
- First review delivered in 2 minutes instead of 2 hours — 60x faster feedback cycle
- Teams ship code 28% faster after two weeks of using cubic
- 98% of AI-generated comments receive positive developer feedback
## When AI coding creates new bottlenecks
As AI tools transformed software development, cubic founders Allis Yao and Paul Sanglé-Ferrière noticed code review becoming the new bottleneck. While developers could generate features at unprecedented speed, reviewing that code couldn't keep pace.
"Code review became the biggest bottleneck for engineering teams," said Yao, who previously led engineering teams at Instagram and Meta. "Before it was always about how quickly you could write a feature. Now, with autogenerated code, the focus shifts to quality—ensuring the architecture is sound, the code is bug-free, and it actually does what you intended."
This shift created entirely new challenges. Traditional code review processes, designed for human-written code, couldn't handle AI's rapid output. Even more concerning, developers began trusting AI-generated code without proper review, assuming it was correct. The very speed that made AI coding attractive was creating quality and oversight problems that existing tools couldn't address.
## Selecting Claude for superior code understanding
cubic chose Claude Sonnet 4 for two critical capabilities: its ability to work with development tools and its well-calibrated confidence assessment. Claude's confidence calibration means that when it reports being 80% confident about something, it's typically correct about 80% of the time—making its confidence levels reliable indicators for teams.
Claude's ability to use tools enables cubic's unique approach to automated code review. "We give Claude essentially an IDE, just like a human would be reviewing code on their laptop," explained Sanglé-Ferrière. "It has a bunch of tools that allow it to navigate through the codebase and find problems."
Claude's confidence calibration also matches different teams' needs. "Different teams have different tolerances for what they like or what they don't," said Yao. "Having a model that can say 'I'm very confident in this but less confident in that’ is really important."
## Reimagining code review as an AI-native experience
Claude powers cubic's approach to modernizing code review through several key capabilities:
- **Intelligent file organization**: Claude groups and orders pull request files by dependency relationships instead of alphabetical order, letting developers review code in a logical sequence from top to bottom
- **Automated quality analysis**: Claude runs comprehensive tests on code changes, checking for bugs and quality issues while learning from codebase patterns and user feedback
- **Architecture visualization**: When data flows change, Claude automatically generates architecture diagrams to show reviewers the broader impact
- **Multi-language support**: Claude delivers consistent code review quality across programming languages from TypeScript and Python to less common ones like Elixir
- **Smart suggestions**: Claude generates code improvement suggestions when confidence levels are high, helping teams maintain quality while moving faster
## Transforming engineering velocity and code quality
cubic's AI-powered approach delivers measurable improvements for engineering teams. Teams using the platform ship code 28% faster while maintaining high quality standards, with first reviews completing in minutes instead of hours.
The impact extends beyond speed metrics. "We tell customers to do a two-week free trial and compare us against competitors," said Yao. "The real data is when people choose to buy us over other tools." The quality improvements are tangible. "We're catching more bugs and there's fewer false positives," she added.
For developers, cubic eliminates the mental overhead that traditionally slowed code reviews. Instead of scrolling through files trying to figure out where to start and how pieces connect, cubic organizes everything logically. "Developers don't even realize this is a problem until they experience cubic," said Sanglé-Ferrière. "You realize you don't need to do mental gymnastics to figure out what's going on because the AI has organized everything for you. You just scroll down, read the architecture diagrams and understand what's happening."
## Building the future of AI-native development
As AI transforms software development, cubic expects fundamental changes in how teams work together. The traditional boundaries between writing and reviewing code will blur as AI changes development workflows. AI is also enabling more people to write code, including non-developers, which increases the need for effective code review tools.
cubic sees enormous opportunity ahead as AI capabilities grow. The company believes that even as AI becomes more sophisticated, code review will remain essential because software development requires collaboration and shared understanding across teams. As AI writes increasingly sophisticated code, cubic and Claude will continue building tools that help human teams understand, improve, and ship that code with confidence.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## cursor-claude-case-study-claude-by-anthropic-a5e35bff06.md
# A conversation with Cursor on building coding agents for professional developers
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Large
Product:
[Claude Code](https://claude.com/product/claude-code)
Location:
North America
60% of the Fortune 500
builds software with Cursor
15 to 700 people
in two years
The most driven founders are problem solvers. Watch their unscripted conversations with the Anthropic engineers.
[Read more](https://claude.com/problem-solvers)
[Cursor](https://cursor.com/) is an AI coding platform used by software engineers at more than 60% of the Fortune 500 to build and ship production software, increasingly by directing coding agents rather than writing every line by hand. Co-founder Michael Truell sat down with Anthropic to talk about the role Claude plays in the product, how the work of building software has changed, and where coding is headed next. The following conversation has been edited for length and clarity.
## How do you describe Cursor these days?
**Michael Truell, Cursor:** For the longest time, building software was about writing in a language that only computers could understand. You write very basic statements: if this then that, loop over this many times, take this piece of data and move it over there. The thing that made it hard is that computers couldn't fill in the gaps. You had to spell out everything exactly for them. What's changed over the past few years is that building software is starting to feel like working with a human colleague. With Cursor, it looks like asking a bunch of helpers to go and build parts of your software. People with no engineering background at all can build their own internal tools, purpose-built for their workflow.
## Plenty of people try coding and bounce right off it. What made it stick for you?
**Truell:** I started coding when I was 12 and rapidly became obsessed with it. That came from the feeling of being able to build without barriers, which I think is one of the special things about programming. In so many other domains, you're limited by the people you know, or the resources you can pull together, or even lab space. But with coding, you just need a computer, and you can build things that you dream up in your mind.
## Early on, Cursor ran on other models by default. Sonnet 3.5 was the model that changed that. What did you see in it back then?
**Truell:** We started working on Cursor at the end of 2022, and the premise was that eventually all of software was going to flow through models. We were a very scrappy team back then, and we were using some other models by default. A couple of folks went and really went deep on evaluating the various models in the market, through offline evals, through internal dogfooding, and then also through A/B tests. They came back surprised. Sonnet 3.5 was this big jump, and so we moved quickly on it. That was the start of a multi-year run of improvements with each model since.
## What is it about the models, specifically, that's mattered most for what Cursor can build?
**Truell**: Sonnet 3.5, then 3.7, then Sonnet 4 were big step-ups. They improved in intelligence, but also in things like the UX of the model, its personality, and its ability to write clean code. The most important one was the ability to take action and take on whole tasks instead of just answering queries. A lot of that capability now arrives inside the models themselves, so each release is a moment where new things become possible in the product.
Over the last 12 months, the models have gotten capable enough to do longer and longer range work, which has been really consequential for us. Beyond the models themselves, a few of Anthropic's API features have mattered for agentic coding. Prompt caching is incredibly important for models doing longer and longer range work. And having access to fast versions of Anthropic models has been big for making coding agents useful, including one of our earliest features, called Tab, which predicts the next set of things a programmer is going to do across a codebase.
## Models aside, what made you decide to build on Anthropic?
**Truell**: Anthropic’s commitment to principles is well known when it comes to the safety side of things. But it also extends to how you serve customers. From the start, there's been a commitment to really being a platform that folks can build lasting businesses on top of, and that comes from being principled.
## What does the newest generation of coding agents look like?
**Truell**: AI coding has moved through a few eras: the tab era, the assistive editor era, the coding agents era, and now remote agents. One of the important blockers to tackle is giving coding agents their own computer. We've been doing a bunch of recent product work on remote coding agents that can run for long periods of time. The agents can come back to you and show their work with a video of what they've run and tested. That work is enabled by the computer use capabilities coming out of new Claude model releases. We're also seeing folks use coding agents programmatically, not just interactively. They fix issues in an issue tracker automatically, address customer bugs as they come in, upgrade dependencies as they need to be upgraded, and patch security issues as they're found.
## Cursor has grown incredibly fast. What does this moment feel like from the inside?
**Truell**: This is a great time to be working on a company, because a whole new set of companies have been made possible that have different business physics. Two years ago, we were 15 people in a room, and now we're 700 people and serve over 60% of the Fortune 500. It’s not lost on us just how special and unprecedented it is historically.
AI agents
Build powerful AI agents that reason through complex problems and execute tasks autonomously with reliable results.
[Read more](/solutions/agents)
## Coding has changed faster than almost any other kind of work. Where do you think this goes next?
**Truell**: Coding has been a bellwether for what's going to happen in a lot of other spaces. The move from asking questions to really taking on action is fertile ground for people who want to build companies in other fields. For us, we want to give folks more autonomy and help them be more empowered. The biggest trend we're excited about is coding agents that can run for hours or days productively and really work *with* you. We're also excited about companies starting to have software factories internally that are always improving their software on autopilot.
## You're helping run a 700-person company now. Do you still build things yourself?
**Truell**: I do, regularly, each week. One of the fun things about AI coding getting so good is that people can build their own personal tools. I'm kind of an infovore, so I've built utilities that pull from our wikis and team communication systems and keep me in touch with projects as they move. It's amazing how much you can see into what's going on across the company.
Choosing the right Claude model
Learn when to use Haiku, Sonnet, or Opus to get better results and stay inside your rate limit. A practical guide to picking the right Claude model.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## customer-stories-claude-by-anthropic-3fd0b2c918.md
# Meet the teams building what’s next
Businesses build with Claude for the problems that matter most. Our customers include enterprises and startups across financial services, healthcare, legal, and more.
[Contact sales](/contact-sales)
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---
## customer-stories-claude-by-anthropic-44e2709619.md
# Meet the teams building what’s next
Businesses build with Claude for the problems that matter most. Our customers include enterprises and startups across financial services, healthcare, legal, and more.
[Contact sales](/contact-sales)
Customer story
Notion is building a workspace for teams and agents
[Read story](/customers/notion-qa)
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How Slack uses Claude for AI search and summaries
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Figma transforms ideas into interactive software
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HubSpot reclaims time for creativity with Claude
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Recruiting
Retail Services
Scientific research
Software
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Claude Agent SDK
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Size
Large
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Small
Startup
Partner
Accenture
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Google
Tenex
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Australia
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Grid
List
283 stories
### A conversation with IRC on turning frontline health data into action in Burkina Faso
### The International Rescue Committee turns fragmented health data into faster decisions with Claude
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Impel is building an agent for every job with Claude
### Carvana turns Slack alerts into production fixes with Claude Tag
### How Qonto delegates financial admin for small businesses with Claude on Amazon Bedrock
### Pictet turns weeks of work into hours with Claude Code
### DXC brings Claude to the insurance backbone running billions of policies
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Spellbook runs 530,000 contract reviews a month with Claude
### EvenUp cuts document drafting from 15 hours to 15 minutes with Claude
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
### How League went all in on Claude in a regulated industry
### How Notion ships and scales agents with Claude Managed Agents
View more
---
## customer-stories-claude-by-anthropic-a67851c410.md
# Meet the teams building what’s next
Businesses build with Claude for the problems that matter most. Our customers include enterprises and startups across financial services, healthcare, legal, and more.
[Contact sales](/contact-sales)
[Prev](#)
Prev
Filter and sort
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Thank you! Your submission has been received!
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Grid
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[View story](/customers/doordash-boris-office-hours)
View story
Office Hours: Building the case for leaders who ship with DoorDash
Doordash Boris Office Hours
Large
North America
August 12, 2026
Software
Claude Code
[View story](/customers/spotify-boris-office-hours)
View story
Office Hours: Asynchronous coding and the end of the IDE with Spotify
Spotify Boris Office Hours
Large
North America
August 12, 2026
Software
Claude Code
[View story](/customers/ramp-boris-office-hours)
View story
Office Hours: Building for the model that doesn't exist yet
Ramp Boris Office Hours
Large
North America
August 12, 2026
Software
Claude Code
[View story](/customers/miro-qa)
View story
How Miro's champions run their week with Claude Cowork
Miro Q&A
Large
North America
August 10, 2026
Claude Cowork
Claude Enterprise
Software
Claude Cowork
[View story](/customers/cyera-qa)
View story
Cyera on making Claude Cowork the front door to 40 tools
Cyera Q&A
Large
North America
August 7, 2026
Claude Cowork
Claude Enterprise
Cybersecurity
Claude Cowork
[View story](/customers/cyera)
View story
Cyera scales agentic AI across 1,500 employees with Claude Enterprise
Cyera
Large
AWS
North America
August 7, 2026
Claude Enterprise
Claude Cowork
Cybersecurity
Claude Enterprise
[View story](/customers/wondr-health)
View story
Wondr Health scales trusted health coaching with Claude
Wondr Health
Startup
AWS
North America
August 7, 2026
Claude Platform
Software
Claude Platform
[View story](/customers/mercy-corps-qa)
View story
Mercy Corps on what AI makes possible in humanitarian work
Mercy Corps Q&A
Large
North America
August 4, 2026
Claude Enterprise
Claude for Nonprofits
Beneficial Deployments
Claude Enterprise
[View story](/customers/mercy-corps)
View story
Mercy Corps accelerates global humanitarian response to community feedback with Claude
Mercy Corps
Large
North America
August 4, 2026
Claude for Nonprofits
Claude Enterprise
Beneficial Deployments
Claude Enterprise
[View story](/customers/notability)
View story
How Notability built a study tool that improves with every Claude release
Notability
Startup
North America
August 3, 2026
Claude Platform
Software
Claude Platform
[View story](/customers/caylent)
View story
Caylent turns months of migration work into days with Claude Agent SDK
Caylent
Medium
AWS
North America
July 17, 2026
Professional services
Claude Platform
[View story](/customers/epilepsy-foundation)
View story
The Epilepsy Foundation turns years of expert content into a personal epilepsy assistant with Claude
Epilepsy Foundation case study
Medium
AWS
North America
July 17, 2026
Claude Platform
Beneficial Deployments
Claude Platform
[View story](/customers/epilepsy-foundation-qa)
View story
How the Epilepsy Foundation uses Claude across the organization
Epilepsy Foundation Q&A
Medium
AWS
North America
July 17, 2026
Claude Platform
Claude for Nonprofits
Beneficial Deployments
Claude Platform
[View story](/customers/eve-legal)
View story
Eve Legal helps plaintiff law firms settle cases 60 days faster with Claude
Eve Legal
Startup
North America
July 17, 2026
Claude Platform
Claude Code
Legal
Claude Platform
[View story](/customers/national-domestic-workers-alliance-qa)
View story
Building dignity-driven AI: A conversation with the National Domestic Workers Alliance
National Domestic Workers Alliance Q&A
Small
North America
July 17, 2026
Claude for Nonprofits
Claude Platform
Beneficial Deployments
Claude for Nonprofits
[](?fcdaa149_page=1)
[](?fcdaa149_page=3)
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2 / 19
Industry
Company Size
Location
Partner
[View story](/customers/impel)
View story
### Impel
Industry
Automotive
Company size
Medium
Claude Platform
Claude Enterprise
Claude Code
Claude Platform
Location
North America
Partner
September 16, 2026
Read customer story
[Read customer story](/customers/impel)
Read customer story
[View story](/customers/qonto)
View story
### Qonto
Industry
Financial services
Company size
Medium
Claude Platform
Claude Platform
Location
EMEA
Partner
AWS
September 3, 2026
Read customer story
[Read customer story](/customers/qonto)
Read customer story
[View story](/customers/carvana)
View story
### Carvana
Industry
Retail Services
Company size
Large
Claude Tag
Claude Tag
Location
North America
Partner
September 4, 2026
Read customer story
[Read customer story](/customers/carvana)
Read customer story
[View story](/customers/pictet)
View story
### Pictet
Industry
Financial services
Company size
Large
Claude Code
Claude Cowork
Claude Code
Location
EMEA
Partner
Artefact
September 2, 2026
Read customer story
[Read customer story](/customers/pictet)
Read customer story
[View story](/customers/atlassian)
View story
### Atlassian
Industry
Software
Company size
Large
Claude Platform
Claude Code
Claude Platform
Location
Australia
Partner
Google
August 28, 2026
Read customer story
[Read customer story](/customers/atlassian)
Read customer story
[View story](/customers/dxc)
View story
### DXC
Industry
Insurance
Company size
Large
Claude Platform
Claude Platform
Location
North America
Partner
September 1, 2026
Read customer story
[Read customer story](/customers/dxc)
Read customer story
[View story](/customers/spellbook)
View story
### Spellbook
Industry
Legal
Company size
Medium
Claude Platform
Claude Code
Claude Platform
Location
North America
Partner
August 27, 2026
Read customer story
[Read customer story](/customers/spellbook)
Read customer story
[View story](/customers/evenup)
View story
### EvenUp
Industry
Legal
Company size
Startup
Claude Platform
Claude Enterprise
Claude Code
Claude Platform
Location
North America
Partner
August 26, 2026
Read customer story
[Read customer story](/customers/evenup)
Read customer story
[View story](/customers/rocket-money-qa)
View story
### Rocket Money Q&A
Industry
Software
Company size
Large
Claude Platform
Claude Platform
Location
North America
Partner
AWS
August 26, 2026
Read customer story
[Read customer story](/customers/rocket-money-qa)
Read customer story
[View story](/customers/rocket-money)
View story
### Rocket Money
Industry
Software
Company size
Large
Claude Platform
Claude Code
Claude Platform
Location
North America
Partner
AWS
August 26, 2026
Read customer story
[Read customer story](/customers/rocket-money)
Read customer story
[View story](/customers/league-qa)
View story
### League Q&A
Industry
Healthcare
Company size
Medium
Claude Enterprise
Claude Code
Claude Enterprise
Location
North America
Partner
August 24, 2026
Read customer story
[Read customer story](/customers/league-qa)
Read customer story
[View story](/customers/deepgram)
View story
### Deepgram
Industry
Software
Company size
Startup
Claude Code
Claude Enterprise
Claude Code
Location
North America
Partner
August 20, 2026
Read customer story
[Read customer story](/customers/deepgram)
Read customer story
[View story](/customers/league)
View story
### League
Industry
Healthcare
Company size
Medium
Claude Enterprise
Claude Code
Claude Enterprise
Location
North America
Partner
August 14, 2026
Read customer story
[Read customer story](/customers/league)
Read customer story
[View story](/customers/vega)
View story
### Vega
Industry
Cybersecurity
Company size
Startup
Claude Agent SDK
Claude Platform
Claude Agent SDK
Location
North America
Partner
AWS
August 12, 2026
Read customer story
[Read customer story](/customers/vega)
Read customer story
[View story](/customers/doordash-boris-office-hours)
View story
### Doordash Boris Office Hours
Industry
Software
Company size
Large
Claude Code
Location
North America
Partner
August 12, 2026
Read customer story
[Read customer story](/customers/doordash-boris-office-hours)
Read customer story
[View story](/customers/spotify-boris-office-hours)
View story
### Spotify Boris Office Hours
Industry
Software
Company size
Large
Claude Code
Location
North America
Partner
August 12, 2026
Read customer story
[Read customer story](/customers/spotify-boris-office-hours)
Read customer story
[View story](/customers/ramp-boris-office-hours)
View story
### Ramp Boris Office Hours
Industry
Software
Company size
Large
Claude Code
Location
North America
Partner
August 12, 2026
Read customer story
[Read customer story](/customers/ramp-boris-office-hours)
Read customer story
[View story](/customers/miro-qa)
View story
### Miro Q&A
Industry
Software
Company size
Large
Claude Cowork
Claude Enterprise
Claude Cowork
Location
North America
Partner
August 10, 2026
Read customer story
[Read customer story](/customers/miro-qa)
Read customer story
[View story](/customers/cyera-qa)
View story
### Cyera Q&A
Industry
Cybersecurity
Company size
Large
Claude Cowork
Claude Enterprise
Claude Cowork
Location
North America
Partner
August 7, 2026
Read customer story
[Read customer story](/customers/cyera-qa)
Read customer story
[View story](/customers/cyera)
View story
### Cyera
Industry
Cybersecurity
Company size
Large
Claude Enterprise
Claude Cowork
Claude Enterprise
Location
North America
Partner
AWS
August 7, 2026
Read customer story
[Read customer story](/customers/cyera)
Read customer story
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---
## customer-stories-claude-by-anthropic-fe394c4a80.md
# Meet the teams building what’s next
Businesses build with Claude for the problems that matter most. Our customers include enterprises and startups across financial services, healthcare, legal, and more.
[Contact sales](/contact-sales)
Customer story
Notion is building a workspace for teams and agents
[Read story](/customers/notion-qa)
Customer story
How Slack uses Claude for AI search and summaries
[Read story](/customers/slack)
Customer story
Figma transforms ideas into interactive software
[Read story](/customers/figma)
Customer story
HubSpot reclaims time for creativity with Claude
[Read story](/customers/hubspot)
Filter and sort
Sort by
NewestAlphabetically (A to Z)Alphabetically (Z to A)
Industry
Automotive
Beneficial Deployments
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Education
Energy
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Healthcare
Insurance
Legal
Life sciences
Marketing and advertising
Nonprofit
Professional services
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Claude Agent SDK
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Size
Large
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AWS
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Tenex
Geography
Africa
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Australia
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India
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North America
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Grid
List
283 stories
### A conversation with IRC on turning frontline health data into action in Burkina Faso
### The International Rescue Committee turns fragmented health data into faster decisions with Claude
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Impel is building an agent for every job with Claude
### Carvana turns Slack alerts into production fixes with Claude Tag
### How Qonto delegates financial admin for small businesses with Claude on Amazon Bedrock
### Pictet turns weeks of work into hours with Claude Code
### DXC brings Claude to the insurance backbone running billions of policies
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Spellbook runs 530,000 contract reviews a month with Claude
### EvenUp cuts document drafting from 15 hours to 15 minutes with Claude
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
### How League went all in on Claude in a regulated industry
### How Notion ships and scales agents with Claude Managed Agents
View more
---
## customer-support-claude-by-anthropic-df28b64d8d.md
# Build AI support agents with a more human touch
With enhanced reasoning and a human-like tone, Claude uses your internal knowledge to take relevant action across systems and tools.
Start building
[Start building](https://platform.claude.com/)
Start building
[Contact sales](/contact-sales)
## Transform support
experiences with Claude
Claude listens carefully, follows instructions precisely,
and thinks through complex problems.
### Help customers faster
with intelligent
conversation routing
### Deliver personalized
responses in any language, across any channel
### Cut resolution times and support costs while increasing customer satisfaction
## Get to production faster with
the Claude Developer Platform
One platform to build, test, and iterate on your AI deployment.
Prompt
Classify all customer support tickets into the most relevant category.
Here is the list of categories to choose from:{{CATEGORY_LIST}}
Here is the content of the support ticket:{{TICKET_CONTENT}}
What would you like to improve?
Please include a rationale for the classification.
You are an AI assistant specialized in classifying customer support tickets. Your task is to analyze the content of a given ticket and assign it to the most appropriate category from a predefined list. You will also provide reasoning for your classification decision.
First, let's review the available categories:
\<category_list\>
{{CATEGORY_LIST}}
\</category_list\>
Now, here is the content of the support ticket you need to classify:
\<ticket_content\>
{{TICKET_CONTENT}}
\</ticket_content\>
Please follow these steps to complete the task:
– Carefully read and analyze the ticket content.
– Consider how the content relates to each of the available categories.
– Choose the most appropriate category for the ticket.
– Provide a detailed explanation of your reasoning process.
Use the following structure for your response:
\<classification_analysis\>
In this section, break down your thought process:
– Quote the most relevant parts of the ticket content.
– List each category and note how it relates to the ticket content.
– For each category, provide arguments for and against classifying the ticket into that category.
– Rank the top 3 most likely categories.
\</classification_analysis\>
\<classification\>
\<category\>Your chosen category goes here\</category\>
\<reasoning\>A concise summary of your reasoning for choosing this category\</reasoning\>
\</classification\>
Remember to be thorough in your analysis and clear in your explanation. Your goal is to provide an accurate classification with well-supported reasoning.
### Built for developers
- Build faster with pre-built cookbooks and guides
- Improve and evaluate your prompts with the Workbench
- Optimize for intelligence and cost with prompt caching
## See what customer experience teams are saying
[Play video](#)
Play video
“We tested accuracy of the response and the ability of the AI models to have the tone and persona that represented our brand. In both of those cases, we found that Claude models were best for Lyft’s needs.”
Read story
[Read story](https://claude.com/customers/lyft)
Read story
Elyse Hovanesian, Product Lead for AI in Support
“Anthropic provides exceptional support, giving us direct access to expert researchers who help us get the most out of Claude. Our close partnership has been instrumental in pushing output quality for our customers.”
Nhung Ho, Vice President of AI
“With Claude, we’re not just automating customer service—we’re elevating it to truly human quality. This lets support teams think more strategically about customer experience and what makes interactions genuinely valuable.”
Read story
[Read story](https://www.claude.com/customers/intercom)
Read story
Fergal Reid, VP of AI
“Claude performed so well that we’re reevaluating our entire model infrastructure. The reasoning capabilities are significantly better, and the conversational tone feels much more natural even out of the box.”
John Wang, Co-founder
“We think Claude will help Coinbase build solutions for different customer segments and bring a billion customers to the crypto economy.”
Varsha Mahadevan, Senior Engineering Manager
“Businesses will use generative AI, Q included, to tackle ambiguous and highly-fluid self-service use cases. This enables human agents to focus on complex issues that require expertise, enhancing customer satisfaction and employee development.”
Jack Hutton, Principal Product Manager for Amazon Q in Connect
“Claude Sonnet delivers the best accuracy, which is crucial for our highly sensitive use cases like refunds and cancellations.”
Chyngyz Dzhumanazarov, Co-founder and CEO
“Claude fundamentally changes what’s possible in automated customer care. The ability to have nuanced, context-aware conversations through secure enterprise channels opens up entirely new possibilities for how companies and customers interact.”
Michael Griffiths, Senior Director of Data Science
“Claude is uniquely skilled at understanding and following intricate, multi-step processes with high accuracy. It can navigate the nuanced business logic of each company’s support processes, while catching potential errors before they happen.”
Ashwin Sreenivas, CTO and co-founder
[Prev](#)
Prev
0/5
## Customer support resources
[Learn how to get started with our API](https://platform.claude.com/docs)
Learn how to get started with our API
Learn how to get started with our API
Developer doc
[Developer doc](https://platform.claude.com/docs)
Developer doc
[Start building with our customer support quickstart](https://github.com/anthropics/anthropic-quickstarts/tree/main/customer-support-agent)
Start building with our customer support quickstart
Start building with our customer support quickstart
Quickstart
[Quickstart](https://github.com/anthropics/anthropic-quickstarts/tree/main/customer-support-agent)
Quickstart
[See how other companies are powering customer support agents with Claude](/customers)
See how other companies are powering customer support agents with Claude
See how other companies are powering customer support agents with Claude
Customer stories
[Customer stories](/customers)
Customer stories
[Homepage](https://claude.com)
Homepage
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
[Anthropic](https://www.anthropic.com/)
Anthropic
© \[year\] Anthropic PBC
Products
- Claude
[Claude](/product/overview)
Claude
- Claude Code
[Claude Code](/product/claude-code)
Claude Code
- Claude Code for Enterprise
[Claude Code for Enterprise](/product/claude-code/enterprise)
Claude Code for Enterprise
- Claude Cowork
[Claude Cowork](/product/cowork)
Claude Cowork
- @Claude
[@Claude](/product/tag)
@Claude
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[Claude Design](/product/design)
Claude Design
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[Claude Science](/product/claude-science)
Claude Science
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[Claude Security](/product/claude-security)
Claude Security
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[Download app](/download)
Download app
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[Pricing](/pricing)
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[Log in](https://claude.ai/login)
Features
- Claude in Chrome
[Claude in Chrome](/claude-in-chrome)
Claude in Chrome
- Claude for Microsoft 365
[Claude for Microsoft 365](/claude-for-microsoft-365)
Claude for Microsoft 365
- Skills
[Skills](/skills)
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[Mythos](https://www.anthropic.com/claude/mythos)
Mythos
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[Fable](https://www.anthropic.com/claude/fable)
Fable
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[Opus](https://www.anthropic.com/claude/opus)
Opus
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[Sonnet](https://www.anthropic.com/claude/sonnet)
Sonnet
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[Haiku](https://www.anthropic.com/claude/haiku)
Haiku
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[AI agents](/solutions/agents)
AI agents
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[Code modernization](/solutions/code-modernization)
Code modernization
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[Coding](/solutions/coding)
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- Commerce
[Commerce](/solutions/commerce)
Commerce
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[Customer support](/solutions/customer-support)
Customer support
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[Cybersecurity](/solutions/cybersecurity)
Cybersecurity
- Enterprise
[Enterprise](/solutions/enterprise)
Enterprise
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[Financial services](/solutions/financial-services)
Financial services
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[Government](/solutions/government)
Government
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[Healthcare](/solutions/healthcare)
Healthcare
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[Higher education](/solutions/education)
Higher education
- K-12 teachers
[K-12 teachers](/solutions/teachers)
K-12 teachers
- Legal
[Legal](/solutions/legal)
Legal
- Life sciences
[Life sciences](/solutions/life-sciences)
Life sciences
- Nonprofits
[Nonprofits](/solutions/nonprofits)
Nonprofits
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[Small business](/solutions/small-business)
Small business
Claude Platform
- Overview
[Overview](/platform/api)
Overview
- Developer docs
[Developer docs](https://platform.claude.com/docs)
Developer docs
- Pricing
[Pricing](https://claude.com/pricing#api)
Pricing
- Ecosystem
[Ecosystem](/ecosystem)
Ecosystem
- Marketplace
[Marketplace](/platform/marketplace)
Marketplace
- Claude on AWS
[Claude on AWS](/partners/claude-on-aws)
Claude on AWS
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[Google Cloud](/partners/google-cloud)
Google Cloud
- Microsoft Foundry
[Microsoft Foundry](/partners/microsoft-foundry)
Microsoft Foundry
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[Regional compliance](/regional-compliance)
Regional compliance
- Console login
[Console login](https://platform.claude.com/)
Console login
Resources
- Blog
[Blog](/blog)
Blog
- Claude partner network
[Claude partner network](/partners)
Claude partner network
- Community
[Community](/community)
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[Connectors](/connectors)
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[Courses](https://academy.claude.com/courses)
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[Customer stories](/customers)
Customer stories
- Engineering at Anthropic
[Engineering at Anthropic](https://www.anthropic.com/engineering)
Engineering at Anthropic
- Events
[Events](https://www.anthropic.com/events)
Events
- Plugins
[Plugins](/plugins)
Plugins
- Powered by Claude
[Powered by Claude](/partners/powered-by-claude)
Powered by Claude
- Service partners
[Service partners](#)
Service partners
- Tutorials
[Tutorials](https://academy.claude.com/tutorials)
Tutorials
- Use cases
[Use cases](https://academy.claude.com/use-cases)
Use cases
Company
- Anthropic
[Anthropic](https://www.anthropic.com/)
Anthropic
- Careers
[Careers](https://www.anthropic.com/careers)
Careers
- Policy
[Policy](https://www.anthropic.com/policy)
Policy
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[Economic Futures](https://www.anthropic.com/economic-futures)
Economic Futures
- Research
[Research](https://www.anthropic.com/research)
Research
- News
[News](https://www.anthropic.com/news)
News
- Policy on the AI Exponential
[Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
Policy on the AI Exponential
- Responsible Scaling Policy
[Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
Responsible Scaling Policy
- Security and compliance
[Security and compliance](https://trust.anthropic.com/)
Security and compliance
- Transparency
[Transparency](https://anthropic.com/transparency)
Transparency
Programs
- Startups
[Startups](https://claude.com/programs/startups)
Startups
- Scientists
[Scientists](/programs/team-plan-for-scientists)
---
## cyera-claude-cowork-case-study-claude-by-anthropic-d2bb3121bb.md
# Cyera on making Claude Cowork the front door to 40 tools
[Try Claude](https://claude.ai)
Industry:
Cybersecurity
Company size:
Large
Product:
[Claude Cowork](https://claude.com/product/cowork)[Claude Enterprise](https://claude.com/solutions/enterprise)
Partner:
AWS
Location:
North America
40 tools connected
to Claude Cowork
88% weekly active usage
of Claude
Case Study: Cyera
Read how Cyera scales agentic AI across 1,500 employees with Claude Enterprise.
[Read more](https://claude.com/customers/cyera)
[Cyera's](https://www.cyera.com/) AI security platform finds and classifies an enterprise's data, mapping what's sensitive, where it lives, and who can access it. Inside the company, everyone has Claude access; R&D using Claude Code primarily and everyone else using Claude Cowork, which Cyera has connected to 40 tools across its stack. We spoke with Joe Tustin, Cyera's Principal Technologist for Applied AI, and Steve Klementowski, VP of AI, about why the company standardized on Cowork, the workflows teams have built with it, and what it takes to bring 1,500 people along.
## Anthropic: Claude Code took off with your engineers first. What happened when it started spreading beyond R&D?
**Joe Tustin, Cyera:** When I joined last year, it was R&D folks internally on Claude Code. I started bringing it over to non-R&D, and the challenge is education: how do you get non-technical people in the terminal? It was great to see them understand where they were from a file directory perspective, but they were scared to run commands and connect to Snowflake through an API. These were all new things for them.
I constantly say that if the only thing you have is a hammer, everything looks like a nail. In this new AI world, to have a toolbox that meets users where they are is incredibly important, so they can know how to use it and it just feels intuitive.
## Anthropic: So what tipped the decision to standardize on Claude Cowork?
**Steve Klementowski, Cyera:** We knew AI adoption was important to the company. We wanted a general-purpose agentic tool so that people could solve their own workflows. And the cat was out of the bag with Claude Code: it started to leak into non-R&D, they saw the promise of it, and they were asking for it. Cyera’s technical teams were already heavy Claude users, so it made the most sense to expand that tool to the whole company. There were some other tools out there, but there was not much for business users.
**Tustin:** I took a first stab at it and found some open-source projects. There's no shortage of code harnesses, but a UI that's not very clearly built by engineers is pretty hard to find. It makes a lot of sense for someone who understands what a routine is or what a cron job is. These things appear obvious, but if you've never done that before, you won't know how to use the tool. Once I saw Cowork, I said to myself, ‘Okay, this meets us exactly where we are.’
## Anthropic: A lot of the tools you've connected already have AI built in. Why route work through Claude Cowork instead of the AI inside each one?
**Tustin:** Claude is now the aggregator. Claude knows everything about me as an employee, and connected to the Snowflake tables and Salesforce data that we already have, all the Google Drive files, all the Slack conversations, along with everything else. Having Claude as the central force between everything, and the context of how they work, makes it much more powerful.
**Klementowski:** It's true of any tool that has AI built in: it's good for working in that tool sometimes. But we've connected 40 tools now to Claude, and we have built four or five homegrown MCP servers. It's tough to replicate that. You can only create so many central focal points.
## Anthropic: You’re at 88% adoption just a month or so after roll out. How did you make that happen?
**Klementowski:** A few things really made it successful. First was investing in employee enablement: about 20 department-specific sessions, office hours twice a week, as well as someone on call from the AI engineering and data side 24/7 to fix pressing issues. We even got creative with a day-long livestreaming session with Joe showing off all these capabilities of Cowork. Executive buy-in was also big, I had the chance to speak at a few all-hands about why we were doing this and when it was happening so everyone was prepared.
## Anthropic: Your marketing team runs more than 1,000 events a year. Walk us through what that looks like inside Cowork.
**Tustin:** Our marketing team runs everything from exec dinners to lunch and learns, all the way up to DataSecAI events, which include hundreds of executives, all over the country. Imagine running more than a thousand events: it’s a lot of spreadsheets and a lot of Slack messages.
A recent one was in New York. Marketing leadership queried all of Salesforce for the tri-state area, every single opportunity, every single contact, created a list of 3,500 people that fit the demographic we're going after, and then reached out to every single salesperson with their list. And now that's reported publicly within the Slack channel for the event. We went from maybe 105 attendee confirmations to over 400 in one day.
## Anthropic: You've also got agents talking to other agents in Asana. How does that work?
**Tustin:** Every week we'd have at least an hour-long meeting going through all the different tickets. Now everyone has their Asana agent, and the person who manages the Asana call, her agent goes out, hits everyone else's agents, and makes sure everything's up to date. That call runs so much smoother now. It saved her around 12 hours a week, which is insane, on top of everything else that she's doing. Communication is flowing, and Claude's doing that heavy lifting.
One thing I'm pushing very hard is that there are no more errors in tickets when they get submitted. I started to see, specifically for the design team, people were not attaching their Figma files, and this ticket that was supposed to be quite easy has now been back and forth four times because I didn't go and add in a URL. Now we have gatekeeper agents that check to see if there are any errors before the ticket is allowed to go into Asana.?
## Anthropic: Those are team systems. What are people building just for themselves?
**Tustin:** One of my favorites is our privacy and GRC analyst. He generates a ton of content, and it's extremely technical, but it becomes outdated quickly whenever a new policy is released, and it invalidates something he posted a while ago that he won’t think to update. Sales reaches out and lets him know that the content is now incorrect. Now he has his Claude agent. Anytime he posts something new, it scans every possible thing that's ever been posted within this domain, calls it out, opens up tickets, and assigns them to him to fix. Something he'd maybe do once a month is now running automatically every week.
**Klementowski:** I have a DM triage that I run manually. It looks through all of my DMs: has Steve responded yet? Does he need to respond? If I need to respond, it will go and do research in my calendar and Google Drive and Notion, past call recordings, and Snowflake, and it will draft a response for me. Then I just go into Slack and hit send. Per run it probably saves me 30 minutes.
## Anthropic: What happened when you opened up data analysis to the whole company?
**Klementowski:** People are going wild doing their own data analytics. It's this pent-up need for the ability to do data analysis. It's really helped scale our analytics team: they focus less on doing the analytics and more on how we provide people the data and the context around the data. Everyone in the company is doing self-service analytics now.
Cowork
Give Claude access to your local files and let it complete tasks autonomously. Agentic capabilities for non-technical knowledge work.
[Read more](/product/cowork)
## Anthropic: Self-service data analysis usually ends in spreadsheet sprawl. How do you keep it trustworthy?
**Klementowski:** We have a very strong data engineering team that has created a beautiful semantic layer over our go-to-market and enterprise data in Snowflake, which we connected directly to Claude. The data consists of 30 or 40 tables, all very well defined and documented. We have one schema per department, so we can control which tables different departments are getting, and we've implemented role-level security so people can't see data outside of their region.
We also have shared context on how to interpret the data: when we say monthly active users or ARR, what do we mean? We serve that as a Claude skill in every team plugin, so before anyone queries Snowflake, the skill fires and loads the context. We haven't quite cracked context management in Cowork yet, but it seems to be working pretty well.
It does present other challenges, like a proliferation of dashboards, and even with a great semantic layer the interpretation of data can be off. But directionally, if you can do self-service analytics and get something that helps point you in the right direction, that's amazing. That's a very hidden velocity gain for the company.
## Anthropic: What's the internal reception been like? Not everyone loves being handed a new tool.
**Tustin:** The whole spectrum. Some people were already Claude users or using some sort of AI, so once we enabled it, there was a huge spike in users. The other group has been very interesting: it's a new tool and they don't trust it. We hosted 18 hours of livestreaming where people could come in whenever, and we just sat there and worked through problems. People worked with Claude live, and once they had the aha moment, it was, oh wow, I'm now prepped for my next call, and this is a big call.
People are finding it's not that it was never part of their job, but that they never had time to do that part of their job. Once people get to that point where they're like, now I'm creating things because I'm having fun, I think people are enjoying it a lot more.
**Klementowski:** Joe did an amazing full-day session, and the first section was a lot of reps who had never been in an agentic AI tool. So we have that cohort within the company, and we also have AI engineers who know ten times more than I can ever hope to know. It's super hard: how do you let AI fluent employees run while also bringing along the earlier adopters? That's one of the biggest challenges I think we'll continue to face in the next few months.
## Anthropic: Where does this go next for Cyera?
**Klementowski:** Claude Cowork is great for being a personal agent.
**Tustin:** There's different functionality that's required for some more teamwork, like a team agent. One thing I'm seeing often is that for folks who support executives, their agents produce a lot of work. What happens when that person goes on vacation and their laptop isn't open any longer? Maybe there's a graduation process that needs to take place for agents: from an agent one person uses to something the whole business can use without their help. Graduation is an earned process that uses traditional software engineering gates to make sure agents last.
## Anthropic: What advice would you give another company rolling out agentic AI this broadly?
**Tustin:** Really make sure that leaders understand that learning these tools requires time, and that time is either going to come from the work bucket or the personal bucket. We want people to be really proficient at using AI, so we have to invest in enablement.
If you're worried about shadow AI, create a sandbox environment to test in. I don't think shadow AI is a bad metric. It shows you have innovative employees who see the possibilities in front of them.
## Related stories
### Vega's cyber defense platform returns 67% of analysts' time with Claude
### Cyera scales agentic AI across 1,500 employees with Claude Enterprise
### Kai delivers preemptive exposure management with Claude
### How Artemis helps security teams cut incident resolution time by 96%
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
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- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
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- [K-12 teachers](/solutions/teachers)
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- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
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## Company
- [Anthropic](https://www.anthropic.com/)
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## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
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- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## cyera-claude-enterprise-case-study-claude-by-anthropic-7edd2fb177.md
# Cyera scales agentic AI across 1,500 employees with Claude Enterprise
[Contact sales](/contact-sales)
Industry:
Cybersecurity
Company size:
Large
Product:
[Claude Enterprise](https://claude.com/solutions/enterprise)[Claude Cowork](https://claude.com/product/cowork)
Partner:
AWS
Location:
North America
88% weekly active usage of Claude
across roughly 1,500 employees
40 tools connected to Claude Cowork
making one agent the front door to company systems
[Cyera's](https://www.cyera.com/) AI Security platform gives organizations the confidence to embrace AI by making data the foundation of security. It discovers and classifies data everywhere it lives, and knows which AI agents and identities can reach it. Internally, Claude is the default way its 1,500 employees work: Claude Code for R&D, Cowork for everyone else.
## With Claude, Cyera:
- Reached 88% weekly active usage of Claude across roughly 1,500 employees
- Connected 40 tools and seven homegrown MCP servers servers to Claude Cowork
- Opened self-service data analytics to the whole company over a governed Snowflake semantic layer
- Cut daily triage of its internal Ask Claude channel from five or six hours to roughly 30 minutes
- Gave its legal team a Cowork plugin with 20 playbooks that pre-reviews inbound NDAs
## The challenge
## Everyone wanted what R&D had, but not the terminal
Most of Cyera's employees could see what agentic AI was doing for the engineering org and didn’t have access themselves. Claude Code had spread across most of R&D, and the engineers driving that adoption began teaching go-to-market leaders to install it. A few took to it; most stalled at the command line.
"I spent a lot of time teaching non-technical folks how to get into the terminal," said Joe Tustin, Principal Technologist, Applied AI at Cyera. "It was great to see them navigate their computers using the command line and understand where they are from a file directory perspective, but they were uncomfortable to run commands and connect to Snowflake through an API. These were all new things for them."
Cyera's own customers show where that leads: employees without an AI tool at work find one anyway, without their security team’s oversight. "Saying no AI is not a strategy," Tustin added. "You end up with people that use AI on their own, completely outside their company’s network. If you're worried about shadow AI, you need to give them a sandbox environment to test in."
Q&A: Cyera on Claude Cowork
Read how Cyera uses Claude Cowork as the front door to 40 tools.
[Read more](https://claude.com/customers/cyera-qa)
## The solution
## One governed agent connected to 40 tools
The team considered building its own wrapper around Claude Code, an app it would maintain and push to laptops, and surveyed the open-source projects appearing around agentic AI. Everything required an engineer at the keyboard: the interfaces made sense to someone who already knew what a cron job was, but at the time there was little else built for business users.
The answer was Claude Cowork. "We knew we wanted a general-purpose agentic tool so that people could solve their own workflows," Cyera VP of AI Steve Klementowski said, and Cowork put that capability into an approachable interface for the company to use.
“I test as many models as possible,” Tustin said. “I look for how models keep the thread through the task and how it handles arriving at crossroads—does it take the distraction bait or evaluate when to stop? Claude holds context, follows instructions, and has been consistent as my daily driver.”
The Cyera team paired that intuition with concrete measures.
“One thing that doesn't get talked about enough is model knowledge cutoff dates: the time elapsed between the first day of the models’ training and when the user is interacting with it,” Tustin said. “Claude Opus 5 has the most recent training data of any major model. That matters because when the model already knows about a recent API change or a new library version, you skip the step where you have to explain it. That new information is exactly where models get in trouble and trapped. It prevents delays, wasted time, and tokens.”
Cyera then connected Claude to Slack, Salesforce, Asana, Google Drive, Notion, and dozens of other systems. "We've connected 40 tools now to Claude Cowork, and we have built four or five homegrown MCP servers," he added. "It's tough to replicate that. You can only create so many central focal points."
The wiring came with rules. Before rollout, the team ran data-mapping exercises: which systems Claude would connect to, which contained production data, and how Cyera would maintain observability.
To solve questions about access, Cyera relied on what Tustin calls "Cyera on Cyera": using its own platform to map who could reach which Snowflake tables, then re-scoping permissions where needed. A rollout to 1,500 employees raised the stakes: opening analytics company-wide put Snowflake in front of people who had never queried it. Plus, while Cyera's research across 2.4 million workers found employees typically access only 4% of the data they're granted, agents can use whatever their permissions allow. To make the newly governed data usable, the data engineering team built a semantic layer of 40 documented tables by department, paired with a built-in skill on company-specific definitions and conventions.
After a brief pilot to iterate on feedback from cross-departmental leaders, Cyera’s AI team rolled out Cowork to the entire company in just 17 days. A full day of livestreaming showing off the tool’s capabilities, twice weekly office hours, and 20 dedicated sessions for specific departments all helped drive rapid adoption of Cowork. So did close partnership with the data and RevOps teams to make sure the tool would provide actual value to a wide range of employees.
“We had to do a lot of work with the system and business owners for each system we connected to in order to understand what people wanted to use it for, what type of data they needed, and how Claude could access it,” Tustin said. “So that was a huge unlock.”
Cowork
Give Claude access to your local files and let it complete tasks autonomously. Agentic capabilities for non-technical knowledge work.
[Read more](/product/cowork)
## The outcome
## 88% of the company, every week
Weekly active usage of Claude Enterprise across Cyera's 1,500 employees has reached between 88%, including the newest hires. "We had someone three weeks into the job respond to a 60-page RFP using Claude to give it an initial pass," Klementowski said. Behind the number, the workflows share a shape: an agent takes the repetitive first pass, a person reviews before anything ships.
Employee questions about Claude flow into an internal Ask Claude channel. A scheduled task checks it about every 30 minutes, reads new messages against Cyera's knowledge bases and past answers, and drafts replies for the owner's review, turning five or six hours of daily triage into roughly 30 minutes.
On the marketing side, the team runs more than 1,000 events a year, from CISO dinners to DataSecAI gatherings with hundreds of executives. Ahead of a New York event, the team used Cowork to query Salesforce for every tri-state opportunity and contact, build a 3,500-person list matching the target demographic, and reach out to every salesperson and their manager. Registrations went from 105 to more than 400 overnight. The team's Asana tickets and requests used to get reviewed in a weekly meeting that ran an hour or more, and bounced back and forth when a Figma file or a URL was missing. Now every member has an Asana agent: gatekeepers catch the missing pieces before a ticket is submitted, and the marketer who runs the review has an agent that polls the rest to keep everything current. "It saved her maybe 12 hours a week, which is insane," Tustin added.
Sales took the same idea to outreach. BDRs build targeted prospect lists for upcoming events and webinar follow-ups, then draft with a skill built from the top performers: intros that "memorialize the best work from the best BDRs," reach Gmail in minutes instead of hours. "It's not only a time-saving thing," Klementowski noted. "It's also trying to drive quality improvements."
The legal team launched a Claude plugin with 20 playbooks on day one. Inbound vendor NDAs get assessed against Cyera's positions, whether terms overstep or run too weak, with response bullets drafted for a lawyer to review and send.
Individual workflows stack underneath the team ones. Cyera's privacy and GRC analyst pointed an agent at his own back catalog: whenever he publishes something new, it scans everything he has ever posted in the domain, flags what newer policies have invalidated, and opens tickets assigned to him. A cleanup he'd get to maybe once a month now runs every week.
Klementowski runs one too: a DM triage that reads his Slack messages, checks whether he has replied, researches his calendar, Google Drive, Notion, past call recordings, and Snowflake, and drafts responses he sends with a click, saving up to 30 minutes per run.
The broadest effect runs through Snowflake. "Everyone in the company is doing self-service analytics now," he added, and the analytics team spends less time producing reports and more time improving the data and context people query against.
The same reallocation shows up company-wide. "People are finding it's not that it was never part of their job, but they never had time to do that part of their job," Tustin explained. "Once people get to that point where they're like, now I'm creating things because I'm having fun, I think people are enjoying it a lot more."
With access solved, attention turns to what teams do with it. "Learning these tools requires time in them, so we have to invest in enablement." Klementowski said. “Now we're focusing on the most strategic projects that we can take on, and how we can help level up our teams.”
## Related stories
### Vega's cyber defense platform returns 67% of analysts' time with Claude
### Cyera on making Claude Cowork the front door to 40 tools
### Kai delivers preemptive exposure management with Claude
### How Artemis helps security teams cut incident resolution time by 96%
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## decagon-claude-platform-api-case-study-claude-by-anthropic-300898a888.md
# Decagon delivers white-glove customer service at scale with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
70% reduction
in over-inferencing rates
98% positive
developer feedback on AI comments
Decagon, a software platform that powers customer support, uses Claude to create AI agents that deliver hyper-personalized, 24/7 customer service. By integrating with existing ticketing systems and customer databases, Decagon allows enterprises across diverse industries to provide white-glove support at scale, handling simple inquiries to complex processes that previously required human agents.
With Claude, Decagon:
- Reduced over-inferencing rates by 70%
- Powers support for both B2B and B2C companies across multiple industries - from consumer platforms like Eventbrite to business software like Rippling
- Sees higher customer satisfaction due to Claude's ability to follow complex instructions and policies exactly
- Decreased their own customer support volume, freeing up times and resources for growing their business
## Delivering AI-powered support that doesn't feel like AI
Decagon addresses a critical challenge for enterprises: providing affordable, high-quality, personalized customer support. Traditional automated systems frustrate customers with irrelevant help articles or generic responses. As Ashwin Sreenivas, CTO and co-founder of Decagon, explains, "Most automated solutions either point you to a generic help article or give you a list of steps to follow. Even recent AI-powered tools feel impersonal and put the burden on the customer to do all the work. We saw an opportunity to create something that truly acts like a skilled support agent - understanding your specific situation and taking care of everything for you."
## Proven excellence in navigating business logic and enterprise security
After evaluating various AI models, Decagon selected Claude for its ability to digest and act on complex instructions and for its enterprise-grade security. "Claude is uniquely skilled at understanding and following intricate, multi-step processes with high accuracy," says Sreenivas. "It can navigate the nuanced business logic of each company's support processes, while catching potential errors before they happen."
## Flexible, reliable AI that customers use a million different ways
Thanks to Claude, Decagon's customers are deploying AI agents that adhere to their policies and practices with remarkable accuracy, representing their brand voice with high fidelity in every interaction. Substack, a self-publishing platform, uses agents to assist writers with platform-specific questions, troubleshoot publishing issues, and explain monetization options. Rippling, a back-office platform for small businesses, replaced their automated decision-tree logic with a Claude-powered agent to guide clients through complex HR and payroll processes while ensuring compliance with local regulations.
With Claude, end-users resolve issues without human intervention in most cases. Sreenivas explains, "It's not just about answering questions - our AI agents actually complete tasks for customers. Rather than giving instructions for a refund, the agent checks your eligibility, processes the refund through the payment system, and handles all the steps a human agent would have done. From the customer's perspective, it's as good as talking to a skilled support representative."
## The future of personalized support across the customer journey
Decagon sees AI-powered support as the start of a broader revolution in customer experience. Sreenivas says, "We're in the business of understanding how organizations want to interface with their customers. Once we understand that core DNA, we can help scale it across every touchpoint." Beyond basic support, Decagon envisions AI agents that proactively guide customers to success, educate prospects, seamlessly handle sales qualification, and accelerate onboarding. By automating routine interactions, these AI solutions enable employees to focus on building relationships and growing the business.
Looking ahead, Sreenivas envisions a future of universal personalized service, saying "For consumers, the impact will be transformative. Everyone will have access to hyper-personalized, on-demand support - even at 2AM on Christmas morning. For businesses, it's a game-changer because they can finally give all customers a white-glove experience without breaking the bank. And for support agents, it's a positive shift. They can move away from repetitive questions and focus on what humans excel at - building relationships and solving complex problems that require empathy and nuanced understanding."
With Claude's help, Decagon is working to make this vision a reality for businesses of all sizes across diverse industries. By combining Claude's advanced capabilities with their deep understanding of customer interactions, they're not just improving support - they're transforming how businesses and customers connect, one conversation at a time.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## deepgram-claude-case-study-claude-by-anthropic-c80300ccfd.md
# Deepgram ships 4–10x more durable code with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Startup
Product:
[Claude Code](https://claude.com/product/claude-code)[Claude Enterprise](https://claude.com/solutions/enterprise)
Location:
North America
4–10x durable code output
from regular and power Claude users vs. non-users in an internal cohort study
Minutes to triage customer incidents
compared to multi-day back-and-forths, with agents that verify their own diagnoses
[Deepgram](https://deepgram.com/) builds the speech models that let software hear and talk: real-time speech-to-text, text-to-speech, and a Voice Agent API with Claude built in. It also rebuilt its own engineering on Claude, end to end.
## With Claude, Deepgram:
- Produces 4–10x more durable code output among regular and power Claude users than non-users, per an internal cohort analysis
- Cut customer incident triage from multi-day back-and-forth to minutes
- Runs roughly 95% Claude-written code on its most productive engineering team
- Documented 3–5x gains on team projects, with individuals reporting more than 2x on routine work
- Migrated the entire company to Claude Enterprise with SSO, centrally managed compliance, and organization-scoped MCP allowlists
- Replaced roughly 80% of its legacy research stack with a new agent-native environment
## The challenge
## A product surface outgrowing human-speed workflows
Deepgram's engineering surface is enormous: inference, APIs, SDKs, billing, integrations, infrastructure, and apps. Traditional workflows couldn't cover it fast enough. "Our competitors and startups we haven't even heard of yet are building AI-native now, and the cost of code generation is approaching zero," said Kris Efland, Deepgram's VP of Engineering. "If we don't ship it, someone else does, and customers follow whoever ships."
Incident triage showed the cost most plainly. When a customer reported a spike in text-to-speech errors, a Deepgram engineer pulled logs and metrics by hand, pieced them together, and wrote a response, often over a multi-day back-and-forth. The data lived in five places, and the engineer fielding the report wasn't always the one who owned the affected service.
Claude adoption, meanwhile, was outrunning any official plan: engineers moved from personal API keys to out-of-pocket Claude Max subscriptions. "If your best people are paying out of pocket to get around your limits, you've already lost more than the license would've cost," Efland said.
Claude for Statrtups
Join the founders building on Claude. Access community and resources to accelerate your growth.
[Read more](https://claude.com/programs/startups)
## The solution
## A bake-off, a cohort study, and a hard cutover to Enterprise
The conclusion was to rebuild as an agentic company or get out-shipped, an effort Deepgram calls DG2. The rebuild started with data: a real-world bake-off of Claude Code against other coding agents. What mattered most was raw model quality on Deepgram's Rust, Python, and infrastructure-as-code codebases, fit with existing internal tools, ability to verify its own work, and zero-friction access for every engineer. “The model is just better, full stop," said one of Deepgram's power users after Claude Opus 4.6 arrived. “Everything else is moot.”
An internal analysis grouped developers by Claude usage and tracked how often code was later replaced; code that stayed in the codebase counted as durable. Regular and power Claude users produced durable code at roughly 4–10x the rate of non-users, while the heaviest use drove about 9x higher churn. So Deepgram set test-coverage standards for Claude-generated code higher, not lower.
Formalizing engineer access meant a hard cutover to Claude Enterprise in mid-2026. Deepgram handles customer data under HIPAA, SOC 2, GDPR, PCI-DSS, and CCPA, so it requires Enterprise licenses where training is off by default and not changeable by users. Retention, tool permissions, and MCP allowlists are centrally managed; new-hire accounts are auto-issued before day one.
The commitment outlasts any single release. "Claude is the only frontier model where the surrounding system is good enough that we've reshaped our own infrastructure around it," Efland said. Deepgram open-sourced a terminal API so agents could drive terminal I/O directly, changing its tooling to suit the agent rather than the reverse. Code review runs through Claude on rubrics that encode where each project sits in its lifecycle, with explicit instruction not to block on nits while staying alert to security issues. Claude also runs in Slack for ambient briefings and standup recall. "The differentiator is the ecosystem with Claude Code, Cowork, MCP, skills, and subagents,” Efland said. “These create so much more than value any single model's ceiling. That's a depth of integration we haven't reached with any other provider."
## Solve a problem once, ship it as a skill
The default engineering loop runs through Claude Code: start in plan mode, iterate until it's right, then let Claude execute and verify. Claude Code connects over the Model Context Protocol (MCP) to the systems engineers already live in, from Slack and Asana to GitHub and Grafana, and drives daily CLI work. All of it runs on a CLAUDE.md file and a few slash commands. "A tight setup beats elaborate configs all day long," Efland explained.
When a solution is reusable, it becomes a SKILL.md in the shared deepgram/agents repository for the whole company to use and improve. Non-coding work runs the same way: Slack messages become Asana tickets or incident investigations.
Underneath, Opus, better at tool use, handles heavy coding and reasoning, and Haiku covers high-volume automation. Claude shows up on the product side too: the Voice Agent API pairs Deepgram's own Nova, Flux, and Aura voice model with Sonnet on the Advanced tier and Haiku on Standard as its reasoning step, with end-to-end latency under about 700ms.
## Multi-agent support for customers
One engineer, Jake, built Deephive, an in-house multi-agent support system, using Claude Code. A central Opus-class agent reads a problem and spawns parallel, read-only Sonnet-class workers that pull context from Slack, DevRev, Notion, GitHub, and Asana, then synthesize a diagnosis and draft internal handoffs and customer replies. Anything sent or changed needs human approval. Deepgram supports its top accounts this way, Anthropic among them, moving from root cause to pull request in hours and to GPU-spec recommendations in minutes.
The clearest moment was a sustained text-to-speech degradation a customer reported. A Deepgram engineer pointed the incident-response skill, Claude Code with Loki and Prometheus access, at the problem. It came back with the correct diagnosis, a low-baseline server-side stream error, not an outage, and the exact client-side fix, reconnect-on-1011, correcting the engineer's earlier guess. The reply went out signed "Sent using Claude."
"Getting 'water through pipes' is easy now,” Efland said. “Getting all the bugs out still requires reading the code.” Every production change carries human sign-off; every deliverable has one responsible human.
Claude Code
Anthropic's agentic coding tool. Claude Code understands your codebase, edits files, runs commands, and helps you ship faster.
[Read more](/product/claude-code)
## The outcome
## Shifting from writing to validating code
With Claude built into daily engineering, regular and power Claude users now produce 4–10x the durable code of non-users, and incident triage that once ran multi-day returns verified root causes in minutes.
Deepgram's restaurant and drive-thru team, its most productive group, runs roughly 95% Claude-written code; one new hire shipped 40+ substantial pull requests in six weeks. Company-wide, new hires onboard in hours and days, not weeks. The research team replaced roughly 80% of its legacy stack with an agent-native environment; porting models to new hardware is now routine. Non-engineers stand up tools too, from ops reconciliations to MVP apps in days, and recruiting uses Claude Code for its applicant surge. Together, these workflows run on the same skills and MCP infrastructure, expanding Deepgram's capacity to build and support its voice AI products across engineering, research, and customer support.
Cheap code generation moved the constraint to validation, so Deepgram writes more tests, not fewer, and engineering shifts from writing code to defining behavior and reviewing results. "The future is agents driving not just code authoring but infrastructure, deployment, testing, and support triage,” Efland said, “with humans in the loop to defend product integrity as non-negotiable.”
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## delight-ai-claude-code-case-study-claude-by-anthropic-36c0e4aa96.md
# Inside Delight.ai’s AI/ML team: Building internal tools with Claude Code
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Startup
Product:
[Claude Code](https://claude.com/product/claude-code)
Partner:
AWS
Location:
North America
1 week → 1–2 days
Time to fix and redeploy a production AI agent issue
Every customer deployment regression-tested
through Claude Code-built internal tooling
Claude on Amazon Bedrock
Build innovative AI applications with safer systems from Anthropic, supported by secure infrastructure from AWS.
[Delight.ai](http://delight.ai) builds AI agents for customer support on top of Sendbird's messaging, voice, and video infrastructure, which handles 7 billion monthly conversations for enterprise companies. With Claude as its primary model, its AI concierge resolves complex, high-stakes interactions across retail, travel, B2B SaaS, and marketplaces that previously needed human escalation.
We sat down with Clara Park, a software engineer on Sendbird's AI/ML team. Using Claude Code, she builds the internal tooling that gets every customer's agent ready for production.
## Anthropic: For people who aren't familiar with Delight AI, what does the product do, and where does Claude Code fit into your team's work?
**Clara Park, Sendbird:** We deploy AI agents for companies like Mixpanel and on-demand services across retail and travel, handling high-volume conversations around subscription changes, order support, and the kinds of edge cases that used to get escalated to a human. Claude is one of the primary models powering those agents. On the AI/ML team, Claude Code is also what we use to build the internal tooling that gets every Delight AI deployment ready for production. We've essentially built our whole debugging and regression testing workflow on Claude Code. It lets us test agents at scale and catch issues before they reach customers, which we couldn't really do before.
## After Claude Code, the time to fix a production AI agent issue dropped from about a week to one or two days. Walk us through what changed.
**Park:** AI agent conversations are never perfect, and errors like wrong pricing or incorrect legal language would demand an immediate fix. After an agent goes into production, it used to take us about a week to fix issues, test, and deploy. Now it takes just one or two days max. The week was mostly manual work. Every AI engineer had their own Python notebook for generating test conversations and labeling them, which was inefficient. After we integrated everything into one tool all the engineers use, the time dropped. If we see a conversation in production with issues now, we can fix it directly.
Since adopting Claude Code in November, our weekly pull request creation and PR merge counts have roughly doubled. In early November, we had around 700 PRs created and 600 merged per week; by May, we were closer to 1.6K PRs created and 1.3K merged per week. This also aligns with our Claude Code token usage growth.
## How has Delight.ai’s approach to AI evolved to get to where you are now?
**Park:** Early on, our agents were plain RAG chatbots. Then the industry moved into a deflection era, where the goal was keeping tickets away from human agents, with AI resolving the simple ones. As models got better at tool calling, longer context, and reasoning through multi-step problems, our agents evolved to covering the full lifecycle of a request. For example, a customer comes in to change their plan, realizes they were overcharged last month, and wants to update their payment method. The agent handles all three in one conversation.
Anthropic: You're running a multi-model architecture. How do you decide which model handles what?
**Park:** Different tasks have different criteria. During support conversations, we run safeguards against prompt injection, like someone falsely claiming a paid membership is free, for example. After the conversation ends, we run a separate analytics pass: classifying topics, analyzing sentiment, and checking for hallucinations.
The tradeoffs shift depending on the task. Summary generation needs to be fast. Hallucination detection can afford to be slower, but accuracy matters more there. We maintain an internal test set built from real examples of the behaviors we care about: hallucinations, out-of-scope handling, and intent classification edge cases. Whichever model performs best on a given task is what we use.
## You've built a system that clusters issues from production conversations and surfaces AI suggestions to customers about what to fix. Why Claude Opus for that work?
**Park:** Analyzing production conversations is genuinely complex work. As an engineering team, we cluster issues by topic across thousands of conversations, then generate suggested fixes. Not one-off patches, but general improvements the customer can act on. That output goes directly to the customer, so it has to be right. We tested lower-cost models first. They produced repetitive labels and kept surfacing minor issues while missing the critical ones. For a multi-step pipeline like that (cluster, synthesize, recommend) where the result is what the customer sees and acts on, we needed a model that could hold the whole thing together. That's why we use Opus 4.8.
## Walk us through the internal tooling your team has built with Claude Code.
**Park:** The first is a conversation debugger. When an agent has a problem in production, the tool fetches the conversation log, surfaces the system prompt, and shows us expected versus actual behavior side by side. We run that analysis through Opus to pinpoint where to fix it. The second is our regression testing tool. You give it a user persona and a scenario to test, and it automatically generates conversations and runs them at scale. We use it to validate every customer's agent before it goes into production. After that, the customer's own QA team runs through it and gives us the go-ahead to ship.
## Beyond the tools, how has Claude Code changed your day-to-day as an engineer?
**Park:** Volume, mostly. Before, I could get through one or two tickets a day. Now I can hand something off to Claude Code, step away, and come back when it's done. It's also changed how I approach architectural decisions. I used to take those straight to my manager or a senior engineer. Now I work through them with Claude Code first and come to the conversation with options already on the table. That's been genuinely useful.
Claude Code
Anthropic's agentic coding tool. Claude Code understands your codebase, edits files, runs commands, and helps you ship faster.
[Read more](/product/claude-code)
## What does Delight's infrastructure look like behind the scenes?
**Park:** We run Claude on Amazon Bedrock and the direct Anthropic API as peer routes. An internal proxy picks between them per request based on real-time latency, error rates, and capacity. Whichever path is responding faster and cleaner gets the request. Rate limit errors are critical for us: customers buy an AI agent specifically because they want 24/7 support, so any gap there is a product failure.
Bedrock is valuable because it gives us additional enterprise-ready infrastructure, regional flexibility, compliance alignment for some customers, and another capacity path for reliability.
Running both paths improves reliability in two ways. It gives us provider-level redundancy, so a slowdown or throttling event on one route doesn't automatically reach the customer. And it gives us more regional and infrastructure flexibility than running on a single path. On the integration side, once a model is set up, adding a new version is straightforward. We update the model name, set parameters for new features like extended thinking, and we're running.
## Has the Claude Platform shipped any capabilities recently that impressed you?
**Park:** The [advisor tool in Claude](https://platform.claude.com/docs/en/agents-and-tools/tool-use/advisor-tool) launched last month. A faster, cheaper model handles the work from start to finish. When it hits something too complex to figure out on its own, it pauses, consults Opus, gets a plan or a correction, and keeps going. Opus only steps in at the hard moments, not for every response.
That was exactly what we were trying to build ourselves. For lighter tasks, you don't need Opus on every turn. But for genuinely complex queries, you need that reasoning power, and we wanted a system that could tell the difference automatically. It solves the exact problem we were going after.
## What's next? Where is the team taking this?
**Park:** The biggest is what we call Zero-Touch Improvement, which is really AI improving AI: the agent learns continuously, customers can see what's going wrong and why, and fixes happen without a human in the loop. Today they have to come to us to diagnose and deploy a fix. We want them to own that themselves.
Voice is the other push, where latency isn't just a metric, it's the product. A small delay breaks the feeling of a real conversation.
Finally, there’s memory. Most agents in the market still start every conversation from zero. When a customer comes back, the agent should already know their history and what's been resolved. That's the shift from a support interaction to a relationship with the brand.
Claude Code on the web
Delegate coding tasks directly from your browser. Kick off multiple sessions in parallel across repositories, with real-time progress tracking.
[Read more](https://claude.com/blog/claude-code-on-the-web)
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## delivery-hero-claude-platform-api-case-study-claude-by-anthropic-5e6bf228df.md
# How Delivery Hero's agent merges 100+ pull requests a day with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Large
Product:
[Claude Platform](https://claude.com/platform/api)[Claude Code](https://claude.com/product/claude-code)
Partner:
Google
Location:
EMEA
\>100 merged pull requests per day
From Herogen, Delivery Hero's autonomous software delivery agent
85% success rate
Most tasks completed with zero to one developer interactions
[Delivery Hero](https://www.deliveryhero.com/) operates in about 65 countries, connecting customers with restaurants, grocery stores, and shops through local brands. The company's tech teams are spread across dozens of these regional operations, many of which were independent startups before being acquired, each with its own cloud providers, programming languages, and engineering culture. When Delivery Hero centralized its developer platform, it needed a way to give thousands of engineers access to the best AI models without months of procurement delays. Google Cloud provided that path, and Claude quickly became the model of choice.
## With Claude, Delivery Hero achieved:
- \>100 merged pull requests per day from Herogen, Delivery Hero's autonomous software delivery agent, about 9% of all PRs
- 85% success rate on assigned tickets, with most requiring zero to one developer interactions
- 18x the original quarterly goal for merged pull requests in Q1 2026
- Cross-repository changes across hundreds of codebases, previously a multi-day effort, completed in minutes
- 95% Claude model usage across central engineering teams
- A 9-to-2 preference for Claude over the next closest option in a survey of the company's CTO group
## The challenge
## Centralizing engineering across a global network of teams
Since its founding in 2011, Delivery Hero has brought local delivery leaders into a global group of brands that now processes over 11 million orders daily. For years, each of these local brands ran with near-total autonomy over technical decisions. That approach worked during hypergrowth, but as the company began centralizing around 2021, it created a problem: every team had different build systems, different infrastructure setups, and deeply held preferences about all of it. Some teams still had traditional structures with strict distinctions between developers, testers, and system administrators. Others had adopted cross-functional teams that owned, tested, and operated everything they built.
"There's always a certain history and attachment to whatever engineers have at the moment," said Rodrigue Schäfer, Vice President of Platform at Delivery Hero. "Convincing everybody that a global developer platform might be a good idea took around a year and a half."
The challenge extended to AI tooling. Starting in mid-2024, Delivery Hero entered an experimentation phase, allowing different teams to pilot different solutions. The results were promising across the board, but the decentralized approach made it hard to measure success consistently or push for adoption at scale. Many engineers within the platform organization remained skeptical about the competitive edge of agentic engineering until late 2025, when a new generation of models changed what was possible.
Claude on Google Cloud
Build advanced AI agents with Claude on Google Cloud.
[Read more](https://claude.com/partners/google-cloud)
## The solution
## Selecting Claude on Google Cloud
Delivery Hero centralized its approach using Google Cloud, which hosts Claude and other AI models as a managed service. The company needed a way to give engineers across the entire organization access to the same models without locking them into a single tool, and without months of procurement delays for each new integration. "The tooling itself wasn't the main driver of the success of agentic engineering," Schäfer said. "The main driver was the new models that were substantially better in terms of quality."
Google Cloud solved the access problem. By placing a proxy called LiteLLM in front of the platform, Delivery Hero could route engineers to the best available models regardless of which coding tools they preferred. "Google Cloud allowed us to set up a proxy and give our engineers choice by offering all Google Cloud models, hooked up with whatever tools they use," Schäfer said. "This combination lets us move forward with the newest models. Otherwise, we might need to wait several months."
Once the infrastructure was in place, the preference became clear. A survey of Delivery Hero's CTO group showed nine votes for the Claude setup versus two for the next closest alternative. Usage data confirmed the pattern: across the company's central engineering teams, Claude models account for roughly 95% of all LiteLLM requests.
Claude Code
Anthropic's agentic coding tool. Claude Code understands your codebase, edits files, runs commands, and helps you ship faster.
[Read more](/product/claude-code)
## The outcome
## Herogen: an autonomous agent for software delivery
The biggest product to emerge from this infrastructure is Herogen, an autonomous software delivery agent built on Claude Opus 4.5 as its primary coding model. The origin was scrappy, reflecting Delivery Hero’s approach to intrapreneurship. "We had a strong belief in this product and the technology," Schäfer said. "We pulled in a principal engineer and two staff engineers and put them on this as a virtual team, self-funded within my organization.”
Herogen picks up tasks assigned through Jira, writes the code, runs and iterates on tests, then submits the result as a pull request, a proposed code change for review. A "council of agents" that includes both Claude and Gemini reviews the code from different perspectives before a human does a final check. Using multiple models for review is intentional: it reduces the chance that blind spots in any single model's training data slip through.
The team shipped an MVP with a single merged pull request in Q4 2025. From there, the trajectory was steep. "Our goal for Q1 was 100 merged pull requests," Schäfer said. "We met that before we went GA in February. Then we set 500, met that, doubled to 1,000, met that. We ended the quarter at 18 times the original goal."
Herogen now processes more than 100 merged pull requests per day, a volume that Schäfer noted is what a typical engineer produces in an entire year. Only about 15% of the company's engineers are using it so far. The agent is particularly effective at tasks that span large numbers of code repositories: infrastructure configuration updates and refactoring work that would otherwise require an engineer to open each repo individually. Schäfer's team has seen pull requests that refactored over 50 files in a single repository.
"Agentic engineering replaces rigid programming syntax with the fluidity of natural language,” Schäfer explained. “By embedding this technology into the heart of our software delivery via Herogen, we have moved the primary interface to the change request itself. This allows our engineers to lead with intent rather than code, liberating them to focus on high-level innovation and complex problem-solving. It's about achieving quality as high as possible and going toward zero interactions with developers.”
Claude Code fills a different role alongside Herogen. Where Herogen is designed for autonomous task completion on existing code, Claude Code supports engineers in more exploratory work: building new projects from scratch, experimenting with design approaches, and features that benefit from back-and-forth between the developer and the model. Schäfer described the relationship as one of "symbiosis between the engineer and the agent." One team used Claude Code to overhaul a design system across 100 UI components, a task that would have taken an engineer at least a week. Claude Code finished it in minutes.
## Looking ahead
Schäfer is set to expand Delivery Hero’s Herogen team and raise its year-end ambitions significantly. The roadmap includes coordinating changes across multiple connected services, Slack integration for human handoffs, and the ability for engineers to call Herogen into existing pull requests. Beyond Herogen, Schäfer is building a dedicated team that will provide a Claude-based tool stack tailored to Delivery Hero's internal infrastructure, with built-in context for connecting to the company's payment APIs, order APIs, and proprietary infrastructure definitions. The goal is to deploy Claude to approximately 50% of its over 4,000 engineers.
Schäfer is also candid about what comes next. As agentic engineering accelerates the development phase, the constraint shifts downstream. "If you churn out five times more changes to your production environment, you will have five times more incidents if the change failure rate remains at the same level," he noted. The team is investing in agent-driven operations and safer rollouts alongside expanding what Herogen can build.
"Every fifth pull request that's merged, we want that to be done by Herogen in 2026," Schäfer said. "It's a very ambitious target, but we're betting on the improvement in LLMs, especially in Claude, to help us with that."
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## descript-claude-platform-api-case-study-claude-by-anthropic-98fe8dd2d5.md
# Descript brings creative taste to agentic video editing with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
13–23% higher intent adherence than leading competitors
Claude Opus 4.6 outperformed other frontier models on Descript's evaluation criteria for translating creative intent
Two thirds of users select a Claude model in Descript’s agent
Descript also ships Claude Sonnet as the default model for its agent
Descript makes video editing work like editing a document: users change the text, and the video updates to match. Last year, the team launched Underlord, an AI agent powered by Claude, that automates complex edits users would otherwise do manually. In January 2026, Descript shipped major updates to Underlord, with Claude Sonnet 4.5 as the default model for self-serve, and Opus 4.6 for enterprise customers.
## With Claude, Descript achieved:
- 13–23% higher intent adherence for Claude Opus 4.6 over leading frontier models in internal evaluations, measured across 100+ real-world test cases
- Two-thirds of models manually selected in the model picker are Claude models
- 9% higher export rate for agent users compared to non-agent users, with nearly 50% more edits made per export demonstrating a deeper creative process
- 46% higher free-to-paid conversion among users who engaged with Underlord compared to otherwise active free users who did not
- 30%+ of all Descript projects now using its agent Underlord at some point in the project lifecycle
- Integration of new Claude models in as little as half a day
- Opus 4.6 outperformed other frontier models on Descript's "Do What I Asked" evaluation criteria, which measures how well the model translates a user's creative intent into concrete editing actions.
## The challenge
## From workflows to an open-world agent
Descript's AI journey didn't start with agents. The team initially built structured AI workflows: features like "Edit for clarity" or "Create clips" that ran through predetermined orchestration steps, using an LLM as an API call within a fixed pipeline. Descript first integrated Claude in mid-2024 for these workflows, where it excelled at understanding the flow of content and creating compelling clips from longer videos.
These workflows worked for their specific use cases but broke down at the edges. The old system had hard-coded pipelines for specific tasks: "Edit for clarity" would chunk a script, send it to an LLM, and batch-apply cuts. But if a user wanted something slightly different, like targeting only a few paragraphs for edits, or putting edits in a new composition instead of changing the original, the rigid orchestration couldn't accommodate it. "Sometimes users would want something that was a little bit different, and even with an open prompt box, it just wasn't going to work,” said Rachel Bloch Mellon, Head of AI Engineering.
Claude Platform
Use the Claude API to create new user experiences, products, and ways to work with the most advanced AI models on the market.
[Read more](/platform/api)
## The solution
## Selecting Claude for creative intent
Building Underlord as a fully agentic system meant the underlying model needed to reason about creative intent, coordinate dozens of tools, and make judgment calls about narrative flow.
Descript evaluated frontier models using an internal framework built around three dimensions: "Don't break things," "Do what I asked," and "Do it well." The team ran more than 100 test cases drawn from real user queries, weighted toward nuanced and difficult edits. Each test is scored by an LLM-as-judge that the team has calibrated against human reviewers. Opus 4.6 outperformed other leading frontier models by 13–23% on intent adherence, with corresponding advantages on quality.
That first dimension—whether it preserves the integrity of the user's project—mattered most. Users are far more tolerant of Underlord not quite nailing their creative preferences than of it overstepping, the team shared. "The degree of anger you see when people say 'it did too much' is much greater than when it didn't quite get the taste right," said Aleks Mistratov, Head of AI Product.
A lot of video editing comes down to taste. "We've found that Claude models do a better job converting very vague and high-level descriptions of taste into concrete edits that are holistically aligned with the user's intent," said Mistratov. "This produces more polished final videos with less required direction from the user."
Introducing Claude Opus 4.6
We’re upgrading our smartest model. The new Claude Opus 4.6 improves on its predecessor’s coding skills. It plans more carefully, sustains agentic tasks for longer, and features a 1M token context window.
## The outcome
## How Underlord with Claude changes the editing process
Descript offers all three Claude model tiers through Underlord's model picker: Sonnet models as the default for most users, Opus for enterprise customers who prioritize quality, and Haiku for fast, iterative sessions. More than two thirds of Underlord users default to or select a Claude model.
The advantages show up most clearly on tasks that require creative reasoning. A user uploads a hypnotherapy recording and asks Underlord to recommend where to lengthen or shorten pauses for therapeutic effect. A podcast host provides a detailed list of audio refinements: adjusting music transitions, balancing levels between speakers, adding chapter markers. "Opus outperforms the other leading models on those sorts of things," said Mistratov.
The collaborative workflows are where Underlord really comes alive. A user might ask: ‘Can you highlight parts of the script where an infographic might help me deliver my point?’ Then they review the suggestions and push back where they disagree. "Those types of collaborative workflows were impossible with one-shotting and workflows, and are far more possible now with the agent," Mistratov said.
Descript's philosophy is that Underlord should be a "co-editor to assist in creation, rather than a tool that can one-shot to a final result." That keeps users in the director's chair while Underlord handles the tedious work. "There is so much more of a positive reception of cutting out the drudgery, but keeping the user and the creator in control," Mistratov said.
The numbers tell a similar story. Agent users export at an 8.6% higher rate than non-agent users and make nearly 50% more edits per export, suggesting Underlord isn't replacing the creative process but deepening it. Over 30% of Descript projects now involve agentic editing at some point in the project lifecycle.
## Looking to the future
Descript's thesis was that building a generalized agent with broad context and low-level tools would let them ride improvements in frontier model intelligence. That bet has paid off: when Descript upgraded from Opus 4.5 to 4.6, quality metrics improved across the board on offline evals—with no changes to the agent harness. Opus 4.6 was also their fastest model integration yet: half a day from release to understanding the model's strengths and weaknesses. The team is now focused on multi-turn success metrics, moving beyond single-query evaluations to understanding how well the agent performs across entire collaborative editing sessions.
For the Descript team, the most meaningful impact isn't efficiency gains for power users. It's expanding who can make videos in the first place.
“Underlord might make a pro user who produces five videos a week much more efficient,” Mellon said. “But it’s an even bigger unlock for the teacher who wants to make engaging content for their students but doesn’t have the time to learn complex NLE software, or the time-constrained small business owner who wants to elevate their brand messaging.”
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## doctolib-claude-code-case-study-claude-by-anthropic-1b07fa7b81.md
# Doctolib accelerates developer productivity with Claude Code
[Try Claude](https://claude.ai)
Industry:
Healthcare
Company size:
Large
Product:
Claude Code
Location:
Europe
Hours instead of weeks
to migrate and replace legacy testing infrastructure
Self-service onboarding
to unfamiliar codebases and technology stacks
Since 2013, Doctolib has been transforming healthcare across Europe, serving 420,000 health professionals and 90 million patients. The platform provides practitioners with an operating system that streamlines workflows through electronic health records, diagnostic support, prescription management, and AI-powered clinical solutions. Patient management tools handle scheduling, teleconsultation, and practice operations. For patients, Doctolib simplifies access to care with secure, proactive health management.
**With Claude Code, Doctolib:**
- Maintains technical documentation automatically with every code change
- Onboards engineers to unfamiliar codebases in days instead of weeks
- Reviews pull requests instantly without waiting for team availability
- Migrated their entire visual regression testing tool in hours rather than weeks
- Tackles technical debt systematically through reusable prompts and automated CI workflows
## The problem
Doctolib's engineering team faced a productivity paradox. As Europe's leading healthcare technology Operating System serving 420,000 health professionals and 90 million patients, the company needed to ship features faster while maintaining reliability for critical healthcare workflows. But administrative tasks consumed significant engineering time—writing documentation, creating tests, reviewing pull requests, and addressing technical debt pulled developers away from solving complex healthcare challenges.
"Engineers were spending valuable time on repeatable tasks instead of solving complex healthcare challenges," said Julien Tanay, Staff Engineer leading Doctolib's AI tooling program alongside Platform Product Manager Thomas Bentkowski.
The team needed to address three specific challenges: First, new engineers took weeks to contribute meaningfully to unfamiliar parts of the codebase. Second, pull request reviews created bottlenecks, with engineers waiting hours or days for teammate availability. Third, technical debt accumulated faster than the team could address it—migrations and documentation updates fell behind as engineers prioritized feature work.
## Doctolib pilots AI-assisted development with 30 engineers
After piloting Claude Code with 30 engineers and seeing promising productivity gains, Doctolib rolled out the tool to their entire development team.
Engineers could self-onboard in under five minutes across any IDE—VSCode, JetBrains, or CLI-based workflows. The team chose Claude Code specifically for its documentation, hands-on training courses through Anthropic's Skilljar platform, and flexible features including slash commands, subagents, and plan mode. The license-free, pay-as-you-go billing model allowed them to scale adoption without upfront commitments.
## Doctolib creates reusable AI workflows for common development tasks
Doctolib's platform team created a centralized repository of prompts, custom commands, and subagents that all developers pull during their initial Claude Code setup. Every engineer starts with proven, reusable workflows on day one—writing documentation, creating tests, reviewing code, and debugging common issues.
"Engineers can now start contributing to unfamiliar codebases immediately," said Tanay. "Instead of waiting weeks to understand a new service or library, they start a conversation with the code and begin making changes within days."
The team embedded Claude Code into their daily development workflow across several critical areas. Engineers write documentation and tests, review pull requests, and address technical debt through repeatable prompts for migrations and debugging. The tool's headless mode runs directly in their CI pipeline, automatically opening pull requests for routine maintenance tasks.
One project demonstrated the velocity gains: replacing the entire legacy visual regression testing infrastructure. "We completed the migration in hours, not weeks," said Tanay. "It's now in production handling all our screenshot comparisons."
The automated documentation workflow changed their maintenance burden. Every code change triggers a CI job that updates technical documentation automatically. This documentation-as-code approach keeps their technical docs current with very rare intervention.
Pull request reviews, previously a bottleneck requiring hours or days of wait time, now happen instantly. Their main infrastructure repository features automated Claude-powered reviews, catching issues earlier in the development cycle.
## The outcome
Claude Code has become the most-used AI tool on Doctolib's engineering team. Engineers self-onboard to the platform and start seeing productivity gains within minutes.
Teams now self-onboard to new projects on unfamiliar technology stacks—reducing ramp-up time from weeks to days.
"Engineers can now contribute to areas outside their expertise much faster," said Tanay. "This fundamentally changes our development velocity."
Doctolib plans to expand autonomous coding agents in Q1, moving from tickets directly to pull requests through GitHub Actions. They're also developing tailored AI-assisted reviews for triage and code quality, and implementing specs-driven development with Claude.
"We want to help shape the roadmap of Claude Code and explore what's possible with autonomous agents," said Tanay.
## Related stories
### How League went all in on Claude in a regulated industry
### League cuts product development cycle times in half with Claude
### How can a medical lab keep patients at the center of its work while the caseload keeps growing?
### How Zingage automates care coordination for 400+ home care agencies with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## dolly-claude-platform-api-case-study-claude-by-anthropic-8b61d15986.md
# Dolly helps teachers reclaim their work-life balance with Claude in Amazon Bedrock
[Try Claude](https://claude.ai)
Industry:
Education
Company size:
Small
Product:
Claude Platform
Partner:
AWS
Location:
Europe
60-70% reduction
in marking time for digital assessments
8-10 hours
saved per teacher per week
Dolly helps UK teachers save time by using Claude in [Amazon Bedrock](https://aws.amazon.com/bedrock/claude/) to instantly grade assignments, generate research-backed lesson content, and create detailed student progress reports.
**Key results with Claude**
- 60-70% reduction in marking time for digital quizzes and assessments
- 8-10 hours saved per teacher per week across multiple classes
- Quiz marking reduced from 1.5-2 hours to instant feedback for a class of 30
- 50% reduction in report writing time with AI-generated narrative summaries
## The teaching profession faces a workload crisis
UK teachers face a mounting crisis. According to the National Foundation for Education Research, workload pressures have pushed teacher supply to a critical state. Educators routinely carry home stacks of papers to grade, sacrificing their evenings and weekends to administrative tasks.
But volume is only part of the problem. "We discovered that teachers lack the time and proper tools to maintain quality records of student performance," said Owen Morgan, co-founder and CTO of Dolly. "Most rely on basic applications that pull generic comments from pre-written libraries, providing no real context or personalization."
Without meaningful student data, teachers miss crucial opportunities to intervene and support struggling learners. The repetitive administrative burden drives talented educators away from the profession entirely. Dolly's founding team, former teachers who left the classroom for software engineering roles because of these exact frustrations, experienced this firsthand.
The team recognized AI's transformative potential. Morgan explained, "With the right AI model, we could automate the time-consuming but necessary aspects of assessment. Teachers could get high-quality, personalized feedback for every student without grading on weekends. AI agents could research topics and generate engaging assignments. The technology existed to give teachers their lives back."
## Choosing Claude for accuracy and educational alignment
Dolly needed an AI model that could handle educational content with absolute accuracy while understanding nuanced requirements. "Claude's large context window was crucial," explained Morgan. "It lets us include full essays, curriculum standards, and historical student performance in a single prompt without losing focus on the grading task."
Technical capabilities were only part of the equation. Claude's approach to feedback sealed the deal. "Claude consistently delivers the kind of clear, constructive feedback that teachers would write themselves," Morgan noted. "It's encouraging, academically appropriate, and focused on helping students improve."
The structured output capabilities were essential for their use case. Morgan said, "Claude's accuracy in generating structured outputs surpassed that of other models in our evaluations." This reliability meant teachers could trust the system to format feedback consistently and extract key information from student work without errors.
The platform also needed to handle handwritten work, common in most classrooms. Claude's vision capabilities were essential. "We use Claude's vision features to convert handwritten student work into digital text while preserving the original formatting, spelling errors, and grammar mistakes," said Morgan. "Teachers get accurate digital copies of physical assignments."
Amazon Bedrock provided the perfect deployment solution. Morgan explained, "Using Amazon Bedrock ensures we maintain control of data sovereignty and it fits into our existing deployment and monitoring processes." For schools handling sensitive student data, this level of control was non-negotiable.
## How Claude powers efficient teaching workflows
Dolly built a custom Amazon Web Services (AWS) [Step Functions](https://aws.amazon.com/step-functions/) workflow to manage multi-stage prompting with Claude. Morgan explained, "We break complex tasks into focused steps, each handled by a separate Claude prompt. This improves output quality and makes our system easier to maintain." The architecture leverages Amazon Bedrock for model inference while ensuring data sovereignty, a critical requirement for educational institutions.
The platform transforms how teachers work. Claude-powered agents research topics before generating assignments and provide sources for verification. Digital quizzes receive instant grading with detailed feedback for each student. Teachers can create differentiated materials for various ability levels in minutes instead of hours. The system maintains real-time student reports based on AI-analyzed performance data.
Morgan emphasized that teachers retain full control, saying, "Teachers always have the final say. They can edit any content or feedback before sharing it with students. Dolly acts as an assistant, not a replacement."
## Teachers reclaim their time while students receive better support
The results have been transformative. Grading quizzes for a class of 30 students used to take 1.5 to 2 hours. Now it happens instantly with detailed feedback for each student. "What used to take hours now happens in seconds," Morgan shared. "And since quizzes are fundamental to checking understanding and strengthening recall, this is saving time and transforming how teachers track and support student progress."
Teachers describe a profound shift in their daily experience. Morgan said, "It's like having a teaching assistant who's always available, never gets tired, and can instantly adapt materials to match their students' needs." One teacher shared that it was the first time in years they'd left work without taking a stack of papers home to grade.
Students benefit from personalized feedback on every assignment, receiving individual attention that's often impossible in large classes. Parents appreciate the richer reports that go beyond simple grades to describe their child's strengths and areas for development. "Teachers are amazed by the depth of detail Dolly provides for each student," Morgan explained. "It lets them focus on actually teaching while still delivering better outcomes."
## Building the future of AI-enhanced education
Dolly's ambitions extend beyond administrative efficiency. Morgan said, "Dolly is evolving into a trusted collaborator for teachers. Next, we're focusing on personalized learning at scale."
The team envisions Claude in Amazon Bedrock helping generate fully personalized assignments based on individual student ability, prior knowledge, and engagement patterns. They're developing support for inquiry-based learning, with AI scaffolding open-ended questions and practical tasks aligned with proven educational frameworks.
"Our goal is to help teachers do what only humans can do," Morgan explained. He sees teachers focusing on insight, creativity, and genuine care while Dolly handles repetitive tasks. "With Anthropic as our AI partner, we're reimagining what's possible in education, giving teachers the tools to achieve more with less stress."
## Related stories
### MagicSchool on building a safety layer for millions of student conversations
### How Syracuse University deployed Claude to every student, faculty member, and staff
### Why Syracuse University gave Claude to 30,000 students, faculty, and staff
### RileyBot creates safe AI learning experiences for students with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## doordash-office-hours-with-boris-cherny-claude-by-anthropic-4917a20ca6.md
# Office Hours: Building the case for leaders who ship with DoorDash
[Office Hours with Boris Cherny](https://claude.com/office-hours)
Office Hours with Boris Cherny
The best engineering teams are rethinking how they work with AI. Boris Cherny talks with technical leaders to uncover what's changing for their teams, from how they’re building with Claude Code to organization design, and the shifting workflows that come with it.
[Read more](https://claude.com/office-hours)
At [DoorDash](https://www.youtube.com/watch?v=hyqLNX3VExQ), Claude Code runs across the entire company, all 4,000 employees have Cowork, and co-founder and CTO Andy Fang is shipping production code again for the first time since the dorm room. Boris Cherny sat down with Andy to talk about giving everyone tokens to experiment, landing projects in 3 to 5x less time, and why leaders have to play with the tools themselves.
### Read the full transcript:
**Boris Cherny, Creator of Claude Code, Anthropic:** I want to get into it a little bit. But before we do, I want to, like, step back a bit. Sure. How did you get into coding?
**Andy Fang, Co-founder and CTO, DoorDash:** I grew up in the Bay Area. So very exposed to the tech industry as a kid. So the first exposure I actually had to coding was, when I was nine years old. And, my mom was trying to get my brother to be occupied for the summer, and so she sent him to this random coding camp, and then I had nothing to do. She just had me join this camp with him. It was intended for him, but I ended up being the one who picked it up. Since then, I just stayed with it. Rewinding back a bit, in terms of the journey I went on with coding at DoorDash: back in 2013, I was writing all the code directly myself in our dorm room at Stanford. And then after a while, as the company was scaling, I kind of stopped coding. It wasn't until I was using Claude Code that I actually was shipping production code in our code base again. So I had a major comeback.
**Boris:** And then fast forward to today. Tell me a little bit about your setup. How do you use code? Do you like a terminal or desktop, or are you on a laptop or on screen?
**Andy:** For coding, I'll just use the terminal usually, or I'll experiment with using the desktop app. I set a goal for myself to, like, not write code manually. So, I try to have the agent Claude Code basically write everything.
**Boris:** Do you have like one session at a time? Do you have like a bunch of sessions? Oh, yeah.
**Andy:** So I have multiple repositories set up, and then I will basically, if I have a repository that I want to have multiple sessions on, I'll use like a git work tree to basically allow myself to code in the repo without conflicts. And then, I try to have a couple of sessions going at a time.
**Boris:** What was the first experience using Claude Code? Do you remember?
**Andy:** I distinctly remember like, okay, I'm going to try to like code actual features in production. And I made it a goal for myself to not ask anyone for help and see how far I went. Unfortunately, at that point, I did not make it to shipping the code to production without help, because I wasn't able to get the agent to understand how to configure my local environment correctly. Then fast forward to, like, I think it's probably the beginning of this year, 2026, I did the same thing and it just worked. And I think, I mean, you've definitely seen this. I've heard you talk about this where like, there's really been an inflection point with the latest models of being able to just figure things out. Yeah. And I've gotten to a point where, like, I was shipping in five different languages to production. And I think it's just super powerful, and I think it's very hard to believe it until you actually force yourself to play with it.
**Boris:** Funny. There's this thing that happens where you try something and you use an old model, and the product doesn't really work. Yeah, this doesn't work. And then you just, like, try again in a couple of months. It might just work. And this used to be like the worst idea before LLMs because it's sort of dysfunctional to take the same idea and then just, like, try it over and over again. It's like you should be learning, but actually now trying just that same exact idea with the newer model. Sometimes it just works.
**Andy:** I think something that we've tried to get the teams to unlearn at DoorDash is like, it's okay to throw away your idea. Like, because I think sometimes with engineers, you have a real strong affinity to something you've built that works. But I think as the models change to the capabilities, channels like, hey, look like whether it's your setup or like maybe an agent that you're building, it's like you got to reimagine how you're building this stuff with how the capabilities are changing so fast. And so I think it's as a leader, if you can really lean in and play with this stuff yourself. I set a goal for our engineering managers like, hey, every engineering manager, you should try to set a goal to ship production code. Not like a prototype, because you can ship a prototype on your own local setup pretty easily. But try to go through all the hoops at DoorDash to get something merged in production and do it yourself. It'll open your eyes both in terms of the capabilities of the models, but also like, hey, for the engineers on the team, what's blocking them or what's causing them to not move as fast as they ideally could?
**Boris:** How has this worked? Is it working well? Is every manager like, yeah, let's go?
**Andy:** I think what's really landed with people, DoorDash is we are here to invest in you all, to give you all the token budgets and the tools for you to play around, explore these coding agents and get them to work well for you. And I think that message is really stark. And I think for managers and particularly, as they've kind of played around with it, they start to understand it too. And so I think, you know, I wouldn't say we're perfect by any means, but I think we're definitely getting people to, to go along the curve.
**Boris:** This is something that I hear over and over from leaders. And it's something I feel myself too, that this is just the most fun I've ever had coding. Yeah. And just building in general to the part that I, you know, I enjoy the act of writing code, but also the thing that I always cared about the most is the result. And now I can just prototype really fast and iterate really fast and it's so much fun. But then it has this other side of like, you just have all these agents running and you're constantly context switching. Absolutely. And it's hard. It's a different way of working.
**Andy:** I think it's very mentally taxing at times. And then there's also things that new problems that come up, which I'm sure you guys are dealing with as well as like if there's all this code that's being shipped now, people start complaining about, oh my gosh, how long it takes for the code to get merged. And like, there's so many processes on CI/CD that we need to reimagine or overhaul as well. And you know, we've invested in AI code review agents to make it easier for people to review the code. But now that there's so much code, people are kind of just rubber stamping the code reviews, based on whatever the agent's telling them. So it's like a very interesting time where, for example, with security-related issues, a lot more security-related issues are cropping up, not just at DoorDash. Industry wide, now we need to figure out how to get AI to also help catch these security issues before we ship it to production as well. So it's kind of like a cat and mouse game and a little bit it's like, as the capabilities are increasing as the throughput's increasing, making sure that people are catching up and we're using AI to help streamline the automation.
**Boris:** When did you first introduce Claude Code to DoorDash and how did you think about it?
**Andy:** So sometime in 2025, we introduced Claude Code and then people started using it. We worked pretty closely with our IT security teams to make sure that, like, hey, for this type of stuff, like we're going to have a special like procurement and review process for these AI tools because the industry and the landscape is moving so fast, we want to make sure people get access to the stuff pretty much right away. I would say the true inflection point was probably at the beginning of this year or late last year. And since then, with our coding velocity, we've seen a correlation with the adoption of Claude Code and basically like throughput for the teams. But I would say it all kind of stemmed back to, both executive leadership support, but also like partnership with IT, security and engineering to just make sure that like, hey, with the tools that are available, like try to get people access to it as quickly as possible and not be so stringent on budgets to start with. And just optimize for letting people explore the landscape.
**Boris:** Yeah. So it's like ‘Give people the ability to explore,’ but then also set the right controls. Yes. Like security is not negotiable.
**Andy:** Exactly. Security was very much in the loop. And I think our security team has done a phenomenal job of moving quickly with the industry while partnering closely with us to make sure that they have their eyes on the types of tools that we're getting access to.
**Boris:** So with all these all these different tools, with this totally new way of working, how do you like, make people feel safe experimenting with it?
**Andy:** Early on our mindset was like, give it, give the tools to the people and see who the early adopters are and just see what they feel like is working. What we've done since then is try to plug examples of success cases, whether it's particular projects or people who have done a good job, and get them to be the advocates within their team. And I think one thing we've tried to emphasize is try to, as much as possible, get people to produce written artifacts. So because like, yes, you can maybe do like all hands or maybe you have some sort of team Slack channel where you're talking about all the cool workflows you've done. But like when it comes to written artifacts and stuff, I can share with the entire company. And so that's why we've seen some success there. But with an organization of our size, it's kind of hard to uniformly enforce that. But that's generally the mindset I've tried to encourage across the organization is like each team needs to have their own channels and forums for people to feel comfortable sharing. Both the wins and the like, the shortcomings, to be honest, it's like it's just as important to showcase, hey, here's something I did that was cool is also important to show, hey, here's this workflow that I tried that didn't work, or here's this integration that I did that like wasted a bunch of tokens. You know, I think we want people to feel comfortable sharing that type of stuff as well. And then return artifacts to that because that's scalable for both for the agents to pick up and learn from. But also just for people to see more across the company.
**Boris:** Yeah. When I talk to, like, engineering leaders, this is something that I hear all the time, like people are trying to figure out, how do I just give everyone tokens and then, you know, like let them experiment? Or do I start with, like, a pilot with some subset of the org? Yeah. And the advice I usually give is actually really similar to this: give everyone tokens because you don't know who the innovation's going to come from.
**Andy:** Exactly. Yes. I think that's actually really interesting. I 100% agree. It's like it's hard to predict who the early adopters are going to be, because when there's something so disruptive to your workflow as coding agents, there are some people who are going to be initially resistant to it who might be very productive in their current setup. But there are people who might be really embracing it, who you would not have guessed. And so I think, yeah, it's hard to predict sometimes who the who, the early adopters and the power users are going to be.
**Boris:** So you started, you know, using code and people started advocating for these tools. And then fast forward to today. How does DoorDash use Claude Code?
**Andy:** It's pretty much widespread across the org. In terms of people either using Claude Code or using Claude models within like other harnesses. We're investing a lot more in automation and basically able to tap into the increased throughput. How do you make sure that's as frictionless as possible? So investments into CI/CD, using Claude to build AI code review agents for us, we actually have built an internal platform, that we call Flex. It's an infrastructure investment where we have VMs that are in the DoorDash cloud, where you can spin up Claude sessions that are, blessed by security, that have access to the right type of tools. And that way you can actually fire off Claude sessions in the cloud. And that's actually how our AI code review agent is powered as well, on top of that platform.
**Boris:** Super cool. That's like the Claude Agent SDK.
**Andy:** Yeah. Using the Claude Agent SDK. And the Claude models are cool. And so that's been super helpful for us to use those frameworks to basically build that.
**Boris:** Yeah. Like the thing that you were saying before about how you start with the coding and then you kind of go like a bottleneck at a time and just break down the next wall, like over and over and over again. That's that's just like, so similar to what we've been going through too.
**Andy:** Actually, one thing that I forgot to mention in terms of how Claude's being adopted in software engineering is, we're actually encouraging adjacent functions to really adopt as well. So we actually set some goals for our designers to actually start shipping code to production. It didn't go 100% smoothly, but I think directionally it was very good because it really forced designers to think about how to get directly embedded into the software development process. So I think that's been really cool to see. And I think we've gone to a point now where I would say a lot of our best teams have designers and product managers embedded directly in the software development cycle. And they're all using Claude to basically empower themselves. So now that we have a bunch of Claude adoption across the org, and we're seeing, you know, massive increases in throughput, the challenge I've posed to the entire team is like, try to get projects done in 3 to 5x less time. So, like, if a project last year would have taken you 12 weeks, try to get it done in at max four weeks and using AI to do so. And I think when you set those kind of constraints, it it's pretty eye opening in terms of the types of challenges people run into. And so a lot of it is around how they use coding agents and how people use standardized skills so that people can all get the learnings of the most prolific people. There is an engineer who did a massive code migration that would have historically taken four engineers over a quarter to do. One person did it in three weeks.
And I think, there's other products where we shave the timelines by more than half of these massive products that we're trying to launch. And we pulled the launch timelines in significantly. And so I think it's like finding pockets where we're seeing those and figuring out, okay, what did you do that was so successful getting them to publish written artifacts, as I mentioned earlier, so that people can, like, see what's going on. Right now what we're doing is we're like, handpicking a couple of teams to really dive deep and, and give this kind of charter to, and just see what they come up with and like, kind of in a like, you know, in a blameless way in terms of like, you know, it's okay. Like, this is a stretch goal. We're going to see if we can hit it. And just we want to maximize obviously, the effort, but also the learnings in terms of what's causing you friction or what are the hurdles that you're facing.
How Anthropic teams use Claude Code
From debugging production issues to navigating unfamiliar codebases to building custom automation—here's how teams across Anthropic use Claude Code.
[Read more](https://claude.com/blog/how-anthropic-teams-use-claude-code)
**Boris:** So what are some of the learnings from that from you know like experimenting and figuring out what are the pockets of adoption, what works to accelerate development, what doesn't work like what's like one surprising thing that works and one thing that doesn't?
**Andy:** One thing for sure is smaller teams, is a great accelerant. Each person can kind of own a thing or a couple different domains, and you don't have to, like, coordinate as much with each other or like, hey, I accidentally like stepping on your toes or whatever. Another good learning was actually like, it actually pays off to do some upfront investment to setting up your code base to be agent friendly. And one of our successful examples, the tech lead he jotted down on it like a couple dozen, maybe 50 plus like principles of architectural principles that he cared about for a particular code base. And he jotted it down in these markdown files within the GitHub repository and, basically so that when the agent was coding that he could reference these architectural principles. And it actually was super helpful. Another thing that was really helpful was standardizing skills across the team. So for example, for our mobile development, the team put together skills around basically making it really easy to spin up the simulator and test particular workflows, things that would be super manual and annoying for an engineer to instrument themselves is now just like a skill that you can call and kind of run in the background.
So I'd say those are some positive use cases that we saw in terms of AI adoption. The challenge that we ran into was particularly for more user facing features where you're not just coding a platform change or code migration. It requires cross-functional buy-in. You need the designs to be aligned. You need to make sure that from a product perspective, you're solving the right problems. And we have a lot of these processes that we've put in place for good reason, like product review or ship review or design review, things that historically were very important for us to get alignment with each other. But now, given how fast things are moving, it's just like it's a huge friction point. And so we've had to really build alignment with cross-functional leaders to make sure that if we want to really take advantage of AI velocity, it's not just an engineering problem, it's a whole company problem. Cross-functional leaders need to be brought in to change the way they work in order to unlock this type of velocity. Like we need to be okay with not necessarily having product review work in the same way. Or do we even need to have product review?
If we want designers to be coding directly, making changes. You know, historically, an engineer would have to spend a lot of time getting the design to be pixel perfect. But if the engineers can get it in a workable state, and then we can pass it off to the designer who can get to pixel perfect self sufficiently, that's really powerful. I think something that we've generally found to be true is the more self-sufficient a team is or an individual is, the faster they can move. And so that's kind of the philosophy that we're trying to really push when we are encouraging people to be more AI forward.
**Boris:** So less process, less design docs, less reviews.
**Andy:** And just like working directly in prototypes, if you're a designer, like working directly in the code. Yeah. Basically streamlining a lot of the process or reimagining it maybe because like some of this process is there for important reasons. Maybe there's compliance related things that need to go on, but then it's just asking the team like, hey, if we want to shrink the timeline by 3x, like, what's a way we can leverage agents to automate a lot of it, or make it faster? And I think the mindset in terms of how teams should change is like, hey, you don't necessarily need everybody to be a domain expert, and in fact, you should encourage people to be as fluid across the code base as possible.
A lot of our mobile engineers, we actually encourage them now to try to be more full stack, which is a lot more accessible now than it was even a year ago. We still need domain experts in, for example, iOS to make sure that there's particular parts of the architecture or kind of how we manage memory or latency and performance. There's certainly domain expertise is important, but you don't need your whole team to be an iOS expert. You can have much fewer of them. Be gatekeepers and figure out how to build agents to basically check for the things or write in MD files. Their architectural principles are things they care about. And you have a lot more people who can be generalists and moving fluidly across the codebase. And I think that's like a mindset change. Also that we need to get people more comfortable with.
**Boris:** Yes. So when you have one of these small teams working on something, but you want to give them the space to experiment and to kind of figure out the process, how do you think about staffing this team? What's the ideal kind of profile for it?
**Andy:** We try to make sure that for these teams that we're giving these remits to, we want to make sure that they feel safe and experimenting and pushing here. So I will actually directly lean in or I'll ask, like executives from like the engineering or, various adjacent functions to actually lean in with these teams and basically have like executive VP level sponsorship on that particular workstream to figure out, hey, what do you whatever you need to do to get unblocked, like you have the sponsorship from high up leadership to do so? Because one thing that I've seen not necessarily work as well in the beginning is if you ask people to do this, but they're working within the same confines of, kind of their normal job, where, okay, like I need to go through all these processes or all this stuff, then they're going to give up pretty quickly. Unless you empower them to be like, hey, you actually, not only are you going to get a token budget to kind of reimagine the things of AI, but I want you to raise to us your cross-functional leadership team, what is hindering you outside of just generating code?
And so I think that's worked really well to make people feel safer. We're still trying to figure out how to scale that. But ideally what would happen is as we see these success examples crop up, we share those written artifacts with various leaders. So that people can kind of organically try to adopt these practices.
**Boris:** Like the limiting factor used to be the speed of coding and that limited kind of the speed of delivery that dictated the team set up, that dictated having to have process in these org reviews and kind of like the cadence of exact check ins and all this stuff. Absolutely. And now, because engineering is so fast, it kind of forces you to rethink all stuff.
**Andy:** There's actually so much more that a team of 3 to 5 can do. It's almost like you kind of want to invest in making that unit move as fast as possible. Because like if you can get that unit to work 3 to 5 times faster, then that's totally game changing for the org.
**Boris:** Okay. I wanted to touch on maybe a few, a few final things. So, how were you thinking about ROI? So you talked a little bit before about the first when you're kind of early in the journey, you just want to give people as many tokens as possible with the experiment. Now you're thinking a little bit more about ROI. How do you think about it?
**Andy:** I think for engineering it's a little bit more straightforward because you can actually, I know, like code throughput, it's not a perfect metric and it's a gameable metric, but it's directionally kind of correct in a lot of ways. And also the fact that, like, you can get more, you can get the same project done faster with fewer people means that the people you have today, you want them using it as much as possible. I think in knowledge work, I think we're so early and I think to a point you made, I think there's a lot of things outside of just like the triaging my email type use cases that I think are really powerful with Cowork that we're just scratching the surface on, like, I think for sales teams, having to do outreach with like tens of thousands of merchants. Right? Like that's a lot of manual work. And if we can really streamline that and make it more accurate and vetted, like with consistency via AI, that's super powerful.
There's two ways that we are thinking about it right now. One is just in terms of raising the baseline, like how much time are we saving the average person in terms of tasks that everybody needs to do? And then there's where I think actually might actually end up being more impactful is on a per department or domain basis. Can we identify particular workflows to automate that would make it significantly more efficient to run that department. So that's kind of how we're thinking about it right now, but in the knowledge workspace, to be honest, we're so early that we're in an exploration phase right now.
**Boris:** Yeah. So for coding, it's about like the volume of code increases. So like the code throughput you can measure and then the speed of delivery, you can measure pretty easily. And just like freed up people to do stuff.
**Andy:** Yeah. And I think ultimately for engineering well it's not just engineering because it involves like design involves cross-functional support. But at the end of the day, we want customer value to be delivered faster. So if we can actually prove that out, not just in terms of code getting merged, but also like customers seeing the product live faster, I think for us that's like the ultimate success metric.
**Boris:** Yeah, yeah. And then yeah, and like for knowledge work, we're still figuring it out. It's still domain dependent.
**Andy:** I think there is a lot of value to be had if we can get everybody to be even 10% more productive with this stuff, that's huge, at a company of our scale. And so I do think there is value in terms of raising the floor. But I do think with knowledge work, there's still a lot of explorations to be had around domain specific workflows.
**Boris:** And I guess it's like it's just back to the way that innovation actually happens. Like if you're a top down, like, hey, you go automate this workflow, you might actually just pick the wrong workflow or the wrong person to automate it. Totally. But if you give everyone the freedom to experiment, you're going to be surprised by, you know, some person over here automates this thing. Some person over here automates this thing, and you might not even have known it's a bottleneck.
**Andy:** Totally. And that's why, like, we're trying to call them AI champions internally right now. It's like we're trying to identify champions within each domain, like sales or marketing or operations or, you know, support. And so we're trying to identify who organically is cropping up, who's doing this in their spare time. We're just naturally gravitating and being prolific with these tools to really help figure out, okay, like if you're the champion for this thing, one, I'm going to call you the champion for your domain. And then two is like, what can you what's what are the big pain points within your domain? Because I don't know. And then, can you figure out a way to either make that workflow a lot more streamlined using agents, or can you figure out a way to make it much easier for your coworkers to be streamlined using a shared set of skills
**Boris:** So like famously you started using AI in coding interviews pretty early, I think, before even we did. How do you think about it? Like, how do you find these people that succeed in this kind of environment that are happy, you know, experimenting and that enjoy this kind of work?
**Andy:** I think our mindset is give people the tools and just see who ends up naturally picking it up. One thing I've also found to be true is the people who are the most AI-pilled, they tend to find it fun. You know, you want people who are having fun with it, and those people will naturally, you will naturally find out about those people, whether it's through Slack channels, or…
**Boris:** They're going to tell.
**Andy:** They're going to tell you. Yeah. Because they're having so much fun and enthusiasm around that they can't help but share the enthusiasm with their peers. So I think it hasn't been that hard for us to find a champion, especially on the non-technical side. And then on the technical side, I think we've just found people who've naturally become power users and taken off of that.
**Boris:** Okay, I want to close with one last question. What is your advice for engineering leaders? So like other CTOs and leaders at other companies? And then on the flip side, what's your advice for new grads? Sure. In college, right now you're graduating. What would you tell each of them?
**Andy:** So I would say for the engineering leaders, make sure you use the AI so that, like, you can encourage your teams to use AI. But I also think it also gives you a sense of empathy in terms of the types of anxiety or stress that engineers might go through to change how they work. And it's kind of an identity crisis in some ways for engineers who are so historically, a lot of people are tied to the craft of the code that they're writing. But you kind of gotta let go of that a little bit. And I think as a leader, I think you really need to understand that. And the best way to understand this is play around with it yourself and understand how powerful these tools are, but also how drastically your workflow needs to change.
And then also encouraging people to share written artifacts. I'll say it again. It's like that's, in my opinion, the most scalable way to distribute learnings at scale. It's also a byproduct of it if you actually end up having artifacts that agents can read. So that's what I would say to engineering leaders. New grads are picking this up so quickly in a lot of ways. My encouragement is like, like stay curious, play around with the tools. I think a lot of companies like DoorDash, what we are really excited about with the new grad talent is people who've grown up with this paradigm of working, who can surprise us in terms of ways that we can leverage technology that we didn't think was previously possible.
**Boris:** Andy, thank you so much.
**Andy:** Yeah. Boris, it's a pleasure to be on here. Thanks for having me.
Claude Code
Anthropic's agentic coding tool. Claude Code understands your codebase, edits files, runs commands, and helps you ship faster.
[Read more](/product/claude-code)
## Related stories
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### How Rocket Money built its personal finance agent with Claude
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- [Report abuse](/form/anthropic-content-reporting)
---
## dust-claude-platform-api-case-study-claude-by-anthropic-60bf56cf3f.md
# Dust enables agents to go deeper at lower cost with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Startup
Product:
[Claude Platform](https://claude.com/platform/api)[Claude Code](https://claude.com/product/claude-code)
Location:
Europe
\$10k/day saved
on model spend after optimizing prompt caching
8+ tool-calling steps per agent run
up from 4–5, with no engineering changes needed
[Dust](https://dust.tt/) is a multiplayer AI platform for human-agent collaboration. It gives companies a shared workspace where teams can build, deploy, and manage model-agnostic AI agents connected to their company knowledge, tools, and workflows. The agents read from a company's stack and write back to it: updating the CRM, drafting the report, or kicking off the workflow, without writing code. Teams at companies like Datadog, Vanta, and 1Password use Dust and together have deployed more than 300,000 agents.
## With Claude, Dust achieved:
- An 18% reduction in overall model spend, roughly \$10K per day, after optimizing prompt caching
- Increased cache reads from 30% to 65% of input tokens, cutting input spend by 22%
- An increase in autonomous tool-calling depth from 4–5 to 8+ steps per agent run, with no engineering changes
- A redesigned execution loop supporting up to 24 tool calls per run
- Deep Research workflows, orchestrated by Claude, that run for 10+ minutes across data warehouses, the web, and internal sources
- A standard integration layer built on Model Context Protocol (MCP), with Dust operating as both client and server
## The challenge
## Agents enterprise teams trust with real work
Dust's premise is that the people who build the most useful AI agents are the ones closest to the work. That includes the RevOps lead automating deal prep, the chief of staff rebuilding onboarding, or the support manager who turns ticket routing into a system. Dust calls them AI operators. "They're not always engineers,” said Stanislas Polu, co-founder and CTO of Dust. “They're the people who understand the work deeply enough to build the systems that automate it."
For that premise to hold, the agents those operators build must be able to act reliably across a company's systems. What makes this possible is the model behind them. As Polu put it: "You can't save time with AI you don't trust. Our goal was to make AI agents accurate and capable enough that enterprise teams trust them to do real work, not just answer questions."
Claude Code
Anthropic's agentic coding tool. Claude Code understands your codebase, edits files, runs commands, and helps you ship faster.
[Read more](/product/claude-code)
## The solution
## Choosing the model agents could trust
Dust allows customers to pick the model behind any Dust agent from a dropdown menu, with no code changes required. In those comparisons, one pattern held, Paul said: “Claude consistently stood out on the criteria that matter most: instruction-following, nuanced writing, and reliable tool use.”
The difference showed up most clearly in autonomous research. As Claude's agentic capabilities improved, the number of sources it consulted for a single research task grew from five to fourteen. "The new Claude models didn't just answer the question; it proactively explored adjacent information and synthesized across sources," Polu noted. "That behavior is exactly what enterprise agents need."
## Complex workflows with optimized prompt caching
Dust provides the orchestration, trust, and enterprise infrastructure around models like Claude. This includes an LLM picker and soon an automatic router, a retrieval pipeline connecting more than 100 data sources, a framework for delegating work across sub-agents, and the no-code agent builder itself. It also includes robust governance to control how Dust agents operate across a company’s systems: permission-aware retrieval, role-based access, and audit logs keep each agent within the data and tools its user is cleared for. Each model, including Claude, gets its own prompting and context strategy beneath the interface, so more capable models never translate into added complexity for users.
Earlier models produced truncated or unreliable results past a handful of tool calls; once Claude could chain many steps accurately, Dust raised the limit. "Our existing defaults, three tools per run with a maximum of eight, were too restrictive,” Polu said. “The model would hit the tool limit and produce truncated results." Dust redesigned its execution loop to support up to 24 tool calls per run.
That autonomy opened up complex workflows that weren't practical before. Dust's Deep Research agents now orchestrate sub-agents across data warehouses, the web, and internal sources, running for ten minutes or more to produce a single synthesized report. But the trade-off to longer runtime was increased token consumption. To offset this, Dust worked with Anthropic's Applied AI team to optimize prompt caching, landing on a three-tier structure: globally shared instructions cached for an hour, with workspace and per-user context on shorter windows.
Dust also adopted Model Context Protocol (MCP), the open standard Anthropic created for connecting models to tools. As an MCP client, Dust's agents reach any compatible tool through one standard interface, creating an issue, updating a CRM record, or querying a database without a custom integration built for each; as a server, Dust exposes its own agents and context to other MCP-aware systems, the wiring that makes it the orchestration layer between Claude and a company's tools.
Choosing the right Claude model
Learn when to use Haiku, Sonnet, or Opus to get better results and stay inside your rate limit. A practical guide to picking the right Claude model.
## The outcome
## \$10K a day saved, and agents that run deeper
The caching work paid off first on the bill. Cache reads doubled from about 30% to 65% of input tokens, input spend fell 22%, and overall model spend fell 18–19%: roughly \$10K saved per day. That efficiency gives Dust more capacity to run agents deeper and longer, instead of spending it on repeated context.
Use cases like deep research and workflow orchestration have helped Dust spread across teams, driving an average of 70% weekly active usage across customer organizations. That same pattern is visible inside Dust’s own team, where engineers use their day-to-day work as a testing ground for what the platform can bring to customers. "The role of an engineer at Dust is evolving from writing code to directing, reviewing, and orchestrating AI-generated output," Polu said. More attention now goes to architecture, product judgment, and quality.
Claude Code is one of the tools driving that: a day-to-day coding partner, a GitHub Action reviewing pull requests, and a way to turn well-scoped tasks into ready-for-review PRs. One engineer built a skill that pulls company context from Dust mid-session. It is part of a broader move that took AI-written code at Dust from roughly 30% in early 2025 to between 60% and 90% today, depending on the engineer. The transition happened in weeks instead of months. “We're still figuring out what it means to be a great engineer in this paradigm," Polu said. "But we're pushing the envelope of what a small, focused team can ship when AI handles more of the mechanical work and humans focus on the decisions that actually matter."
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## duvo-claude-agent-sdk-case-study-claude-by-anthropic-5041da6c6d.md
# Duvo automates enterprise operations across legacy systems with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Startup
Product:
Claude Platform
Location:
EMEA
€2.8M+ in annualized savings
captured in three months for one multi-billion-euro retailer
Eight weeks from first conversation to production deployment
with measured savings, on average
Building agents with the Claude Agent SDK
The Claude Agent SDK is a collection of tools that helps developers build powerful agents on top of Claude Code.
[Read more](https://claude.com/blog/building-agents-with-the-claude-agent-sdk)
[Duvo](https://www.duvo.ai/) builds AI agents that run procurement, supply chain, and category management processes for multi-billion-euro retail and CPG companies. The agents work across every system involved: ERPs, supplier portals, spreadsheets, email, even phone calls. Duvo is built entirely on Claude, using the Agent SDK to orchestrate across workflows, with every API call running under Anthropic's Zero Data Retention mode.
## **With Claude, Duvo achieved:**
- €2.8M+ in annualized savings within three months for its customer Rohlik Group, across processes that had never been systematically run
- Annual supplier negotiations shortened by one month at Rohlik Group, with approximately 80% automated from preparation through contract generation to ERP write-back
- 40%+ of team capacity freed up on average across enterprise procurement, supply chain, and retail operations by reducing manual work
- Eight weeks on average from first conversation to production deployment with measured savings
- Production deployment within days of adopting the Claude Agent SDK
## **The challenge: The cost of "abandoned work" in enterprise operations**
Duvo's customers have operations teams that know exactly what needs to happen but can't get to all of it. Buyers manage ordering across SAP, supplier portals, and email. Category managers track commodity prices in spreadsheets they built themselves. Procurement coordinators chase confirmations by copying status between systems. These teams cover the top 20 suppliers and the most urgent issues. But the long tail, hundreds of smaller actions worth millions in aggregate, never get touched.
"The real process lives in people's heads: which supplier needs chasing, which portal field actually matters, which exception to escalate and which to just fix," said Marek Paris, co-founder and CPTO at Duvo. “The reason no one has automated these processes before is that the work crosses too many systems.”
The blocker isn't a missing dashboard. The work spans systems that don't connect, and no two companies use the same stack. Traditional automation stalls because there are no clean APIs, the IT backlog is years long, and every exception requires judgment. Duvo calls this "abandoned work": processes worth millions that nobody runs because there aren't enough hours in the day.
## **The solution: Selecting Claude for messy, multi-step work**
After evaluating multiple model providers, Duvo committed to a single-provider architecture on Claude. The product defaults to Sonnet 4.6, with browser-use agents often using Opus 4.6.
"What set Claude apart was its performance on messy, ambiguous tasks," explained Tomas Čupr, co-founder and CEO. "Parsing a supplier email that half-confirms a delivery while raising a pricing dispute. Navigating a SAP GUI screen with dozens of fields. Making judgment calls on exceptions without hallucinating business rules."
Two factors cemented the decision: First, the model’s reasoning depth was especially strong for multi-step work. Second, the developer tooling then closed the gap. MCP, the Agent SDK, and computer use gave Duvo a complete foundation for running agents in production, with structured human-in-the-loop workflows and Zero Data Retention on every API call. Building on a single provider's stack meant fewer integration seams and a consistent security model across every agent run. "Other providers offer a model. Anthropic offers the infrastructure to run agents in production with the governance enterprises require," Paris said. "When we saw all of these working together, with Claude's model quality as the foundation, going all-in was straightforward.”
## **Agents that cross every system boundary**
Duvo's agents operate these systems through their actual interfaces, not through APIs that may not exist. "Claude's computer use and MCP integrations are what made this technically possible," said Ondrej Romancov, Head of Product Engineering. "Before that, the heterogeneity of enterprise stacks was an unsolvable problem for automation."
A single agent run might log into a supplier portal, extract delivery status for 50 purchase orders, cross-reference against SAP, identify discrepancies, check contract terms, decide whether to escalate or auto-correct, send follow-up emails, and log the outcome—all in one session.
"Before the SDK, critical context disappeared between agent handovers," Romancov said. "Now we run one capable agent per job with access to all the tools it needs. Context stays intact across the entire operation."
High-risk actions require human approval. When a human responds, the agent persists that decision for future runs. Over time, the system accumulates the operational judgment that used to exist only in people's heads.
## **The outcome: Recovering millions in abandoned work**
The results from Rohlik Group, Europe's leading online grocer with more than €1.5 billion in revenue, illustrate what becomes possible. The retailer tracks thousands of commodity-linked SKUs across five markets. Before Duvo, this happened quarterly at best, often not at all. Duvo now monitors continuously, builds negotiation cases, and initiates supplier outreach. The result: €1.45M in annualized savings in the first week, from continuous price monitoring and automated supplier outreach across 120+ SKUs and 15+ suppliers. Not from a process that was slow, but from one the company had never been able to run. "This is the clearest example of 'abandoned work' becoming real value," Paris said.
“That was one process,” said Olin Novák, CRO at Rohlik Group. “We're now running dozens." Across three months, that number grew to €2.8M+ in annualized savings.
Across other Rohlik workflows, promotional setup dropped 65-70%, supplier onboarding chasing fell 50-70%, and supply chain planning moved product availability from 78% to 93% in two weeks. “Not because someone built an integration,” Paris said. “Duvo works through the same screens the team was using. It just doesn't forget, doesn't deprioritize, and doesn't stop at the top 20 suppliers.” Annual supplier negotiations shortened by one month, with approximately 80% of the process automated. Inbound delivery confirmations jumped from 52% to 90%, covering every supplier daily.
With routine execution handled, operations teams can focus on the work their expertise was built for: supplier negotiations, exception strategy, cost optimization, and the judgment calls that require institutional knowledge.
Expansion within accounts happens naturally. Automated ordering surfaces supplier lead-time issues that the returns team can act on. Cost monitoring reveals pricing discrepancies that ordering can prevent upstream. On average, Duvo moves from first conversation to production deployment with measured savings in eight weeks. The team also estimates that 40% of team capacity is freed up on average across enterprise procurement, supply chain, and retail operations by reducing manual work.
Duvo is doubling down on retail and CPG, with manufacturing and logistics next. "There are dozens of high-value operational processes in this industry that have never had a proper system of action," Paris said. "We wanted to close that gap between knowing what should happen and actually making it happen. Across every transaction, every supplier, every system."
Introducing Claude Opus 4.6
We’re upgrading our smartest model. The new Claude Opus 4.6 improves on its predecessor’s coding skills. It plans more carefully, sustains agentic tasks for longer, and features a 1M token context window.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## dxc-claude-platform-api-case-study-claude-by-anthropic-4c1dba7846.md
# DXC brings Claude to the insurance backbone running billions of policies
[Try Claude](https://claude.ai)
Industry:
Insurance
Company size:
Large
Product:
[Claude Platform](https://claude.com/platform/api)
Location:
North America
Days to minutes for claims document backlogs,
classified in under a second
8 hours to stand up a regulated benefits calculation,
80% right on the first pass
[DXC Technology](http://dxc.com) runs the core systems behind the global insurance industry: 1,100 customers, from carriers to brokers and third-party administrators, run billions of policies on its platforms, which touch between five and seven trillion dollars in annual premiums. Assure is the orchestration platform that ties that portfolio together, and Claude now runs inside every layer of it, from reading claims documents to logging every action an agent takes for regulators.
## **With Claude, DXC:**
- Cut claims document backlogs from days to minutes, with documents classified in under a second
- Embeds new regulatory rules in days, work that historically took 12 to 18 months
- Stood up a working version of a complex, regulated benefits calculation in eight hours, 80% right on the first pass
- Runs governance by default across Assure: every action logged, traceable, and replayable end to end for regulators
- Scaled Claude-powered capabilities to thousands of employees across its 14,000-person insurance business
- Routes work across model tiers, reserving frontier models for hundred-page claims files
## The challenge
## An industry that runs on judgment and paper
Insurance runs on two decisions. First, underwriting, whether to take a risk and at what price, and second claims, what to pay and when. Together, they are "two decision points which drive 100% of the value this industry creates for its shareholders, its policyholders, and society as a whole," said Bill Pieroni, DXC’s Global AI, Strategy & Growth Executive. Today, Pieroni estimates 70% of those decisions on human judgment rather than structured rules. That judgment has to happen at industrial scale: “For an average carrier, millions of these decisions are made in less than an hour," he said.
That judgment runs on documents. Submissions and claims arrive by email, fax, paper, and phone, requiring manual rekeying or optical character recognition (OCR). The industry sits on four exabytes of data, and Pieroni estimates that less than 15% of it is usable. Before Claude, making sense of those documents took at least 40 to 50% of expert time in claims operations. "Backlogs for claims ran days, exceptions waited, errors compounded," Pieroni said.
Those backlogs carried real cost. Time is one of the key drivers of claim severity: claims that take longer to settle cost more, even adjusted for type. And a mishandled claim is one of only two reasons customers leave a carrier at all, the other being a price increase of more than 10% in a year. For property and casualty carriers, running 1% margins over the long term, neither is affordable. And that workload runs through DXC: carriers worldwide underwrite, service their books, and settle claims on the company's platforms.
Choosing the right Claude model
Learn when to use Haiku, Sonnet, or Opus to get better results and stay inside your rate limit. A practical guide to picking the right Claude model.
## The solution
## Reasoning that holds up in an audit
DXC set its bar before picking a model: governance by default, with every action traceable; production over pilots; a focus on the core, since 25% of an insurer's cost sits in underwriting and 75% in claims; returns measurable decision by decision; and speed to value. Claude cleared it in the evaluations and benchmarks DXC ran to make the call. Commercial claims files can run hundreds of pages, and in testing Claude held context where other models, as Pieroni put it, "just lost the thread." First-pass correctness on complex logic came "far better from the onset," without the retry loops other models needed, and instruction adherence held on DXC's ten-case demo. Explanations came out ready for a compliance officer to sign off on without a translator, which the team found "truly differentiating and a unique moat,” Pieroni said.
"Claude reasons in language a client can read, defend, and audit," Pieroni explained. "It's a unique differentiator. Claude honors the policies, constraints, and guardrails. Here, the policy is the contract. It's the document. Claude honors that more so than anyone else."
Behavior mattered as much as capability. "Claude does a better job at flagging uncertainty and asks when there's uncertainty rather than guessing," he said. "That type of behavior is what regulated work like insurance demands." On safety, he added: "Anthropic is truly unique in that it engineers safety into the model versus bolting it on as some kind of afterthought." That evaluation settled it: DXC has been building on the Claude Platform for about a year to create Assure, its orchestration platform. Because Assure is API-driven and tied to its existing solution portfolio, clients connect without custom setups.
## Claude in every layer of DXC’s Assure platform
Assure gives that reasoning somewhere to run. Document intelligence reads and structures what comes in: a document lands, and Claude classifies its type in under a second. It extracts what matters, the policy, the party, the amount, the date, and flags what a human needs to do. On the underwriting side, the same layer reads the submission, structures the risk, and frames it for the underwriter on an exception basis. Workflow orchestration moves decisions to the right people. Smart apps are purpose-built agents for single jobs, like first notice of loss when an accident is reported, or reserving, setting money aside for a claim, so clients can start small, prove value, and scale. The fourth layer is compliance, built for an industry spanning more than 200 countries and territories.
"Every action is recorded: who decided, what basis, what moment, whether it's a person or the agent," Pieroni said. The Claude-powered agents operate inside set authority levels, and humans own the checkpoints on calls with material, legal, or financial weight, and a regulator can reconstruct any decision end to end: "I need to see every step it took, why it said that." Not every decision needs the same model, either: simple triage runs on lighter tiers, while a hundred-page claim gets routed to a frontier model.
Claude Platform
Use the Claude API to create new user experiences, products, and ways to work with the most advanced AI models on the market.
[Read more](/platform/api)
## The outcome
## Intake backlogs reduced from days to minutes
For the carriers running claims through DXC's platforms, intake backlogs that ran days are now minutes or less. That speed compounds: faster settlement means lower severity, and their adjusters focus judgment where it matters rather than across everything. Thousands of the 14,000 DXC employees in its insurance business use these capabilities today, and its field development engineers build them with Claude Code.
DXC’s clearest example of advancing AI came through a workers' compensation use case centered on a single number: the pre-injury average weekly earnings, which determines what an injured worker receives while recovering, which averages 52 weeks of gross earnings It is what Pieroni calls, "the number the whole claim rides on,” he said. “It drives every weekly payment that follows. It's highly regulated and it's unforgiving." Projects tend to fall months behind getting the calculation right. "We fed Claude the regulations, the legislation, documented rules, our system algorithms, and our own DXC calculators," Pieroni recalled. "We stood a working SmartApp up in eight hours." At DXC, Smart Apps are purpose-built agents for single jobs, like first notice of loss when an accident is reported.
The workers’ comp Smart App running on Claude was 80% right on the first pass. The remaining 20% of decision-making went to claims experts, whose review further trained the model. The share of the calculation requiring human judgment has already dropped from 70% to 20% and, in Pieroni's words, eventually "gets whittled to nothing." That loop, to Pieroni, is the point: "Every decision and outcome becomes the signal for the next one."
The hours matter because of who's waiting on them. "These are injured people," Pieroni added. "This is making a real difference. These people need this money. They can't wait for it. It's not about compliance. It's about doing the right thing for the insured."
Regulatory change is getting the same treatment. Across the industry, embedding a new rule has historically taken 12 to 18 months. Claude ingests complex legislation in seconds to minutes, and "stuff that took months now is days," Pieroni said. Speed like that is capacity, and in an industry facing a talent crisis, Pieroni argues carriers "should be clamoring to increase capacity and competency of their workers." His yardstick for where this goes is autonomy. "Right now in the insurance industry, about 1% of decisions are autonomous," he said. "I'm talking no one touches, no one thinks about it. My vision is that it goes to 50%." That would be a fifty-fold jump in a business that makes millions of judgment calls per carrier. And in Pieroni's vision, the friction goes away at the source: regulation itself becomes "living code" that updates itself as the rules change.
## Related stories
### Newfront modernizes insurance experiences with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## elation-health-claude-platform-api-case-study-claude-by-anthropic-f49762f5ba.md
# Elation Health delivers faster clinical insights with Claude
[Get started](https://claude.com/solutions/healthcare#pricing-section)
Industry:
Healthcare
Company size:
Medium
Product:
Claude Platform
Location:
North America
61% reduction
in median time to first insight for chart review
2x adoption
of Elation’s Clinical Insights product feature since migrating to Claude
Advancing Claude in healthcare and the life sciences
Transform healthcare from insight to action
[Read more](https://www.anthropic.com/news/healthcare-life-sciences)
Claude for Healthcare
Claude helps healthcare organizations move faster without sacrificing accuracy, safety, or compliance. Less administrative work, more time with the people you serve.
[Read more](https://claude.com/healthcare)
[Elation Health](https://www.elationhealth.com) is a clinical electronic health record (EHR) and billing platform for primary care, with more than 46,000 clinical users caring for 24 million patients across 50 states. The company delivers AI-native solutions built for independent practices, direct primary care and concierge clinics, and primary-care-led enterprises.
## With Claude, Elation Health:
- Reduced median time to first insight by 61% for chart review
- Doubled usage of the product’s Clinical Insights feature after migrating to Claude
- Simplified prompt engineering by removing workarounds needed for other model providers
## The problem
Primary care physicians face an administrative burden that cuts into patient time. Before each visit, clinicians must review dense, longitudinal patient charts—stitching together notes, labs, vitals, medications, and problem lists to reconstruct a patient's health story. For complex patients with multiple conditions managed over years, this chart prep consumed valuable time that could otherwise be spent on patient care.
Elation's Clinical Insights feature first launched in September 2025with another model provider, and already helped clinicians search and summarize chart data, but three challenges limited its effectiveness. Speed was the first barrier: the median time to first results was 26 seconds, too slow for tightly scheduled primary care visits. Trust was the second concern—clinicians needed summaries with clear citations back to source chart data so they could verify every statement at a glance. And the third requirement was fit for regulated healthcare workflows, where models must operate within HIPAA-compliant environments and strict governance frameworks.
“Clinical Insights was built to tackle the hardest part of chart review in primary care, pre-visit prep and in-visit review, when clinicians need instant clarity on what’s changed and why it matters,” said Kyna Fong CEO & Co-Founder of Elation Health.
## Choosing Claude through rigorous evaluation
Elation selected Claude after evaluating it against real primary care workflows and concrete performance targets for chart intelligence inside the EHR. The decision came down to latency, reasoning quality, and safety.
"We chose Claude by Anthropic for the strength of its model and its reputation for responsible AI," said Fong. "That balance of performance plus trust was a decisive factor."
Claude also performed well at following complex instructions, essential for supporting physician decision-making while analyzing large amounts of clinical data..
“Claude delivers higher accuracy on chart-based evaluation tasks while operating at a fraction of the latency,” Fong shared. “Claude’s long‑context and instruction‑following performance was strong enough that we didn’t need to re‑engineer our pipeline or extensively rewrite prompts.”
Implementation moved quickly. A small engineering group had Claude wired into internal builds in three days, using existing chart-search and Clinical Insights infrastructure. In several places, Claude's performance actually let the team simplify prompts and remove workaround logic they'd introduced for other model providers. Elation then rolled the Claude-backed version out to 100% of users over roughly two weeks without disrupting clinician workflows.
"Implementing Claude was a positive, high-leverage experience," the team noted. "In just 3 days of focused work, we significantly improved the speed and usability of an existing feature, then safely rolled the new experience out while staying true to our clinical-first, safety-conscious approach to AI in primary care."
## The outcome: Claude powers chart-aware clinical intelligence
Claude Haiku 4.5 now exclusively powers Clinical Insights, delivering cited, clinician-controlled summaries of a patient's health story directly within Elation's EHR. Before a visit, clinicians can click customizable buttons like "Summarize last three visits" or “search for a condition.” Claude synthesizes the most relevant information—recent assessments, treatment changes, lab trends, vitals, and follow-ups—into a concise summary with citations back to the underlying notes, labs, and problem list entries.
When Elation migrated Clinical Insights to Claude, the median time to start seeing insights dropped by 61%. Combined with streaming responses in the UI, clinicians can now begin reading answers as they generate, connecting the workflow more naturally to a live visit.
The results show up in adoption and clinical workflow. Since Elation launched its clinical AI platform in August 2025, overall adoption of AI tools across the platform has more than tripled among active clinicians. Within that portfolio, Claude-powered Clinical Insights has emerged as the fastest-adopted AI feature, with usage doubling since the Claude migration and weekly prescriber usage steadily trending upwards.
Clinicians report that Clinical Insights helps "cut through the overload of EHR data" by quickly summarizing focused condition management, recent visits, abnormal results, and even suspected but undocumented conditions. Many use custom prompts to pull together clinical events, messages, new results, incomplete care plan items, open care gaps, and outside records into a single, explainable view.
Beyond Clinical Insights, Claude’s Opus 4.5 model is also improving how Elation builds and ships products. The company's engineers use Claude Code as a supported day-to-day coding assistant for refactors, test generation, and cross-repo changes, helping teams iterate faster while keeping existing review and safety practices in place.
Looking ahead, Elation is exploring how Claude can help reconcile external documents and historical data to keep charts complete with less manual effort. The team is also investigating how Claude can help triage and route inbox messages more efficiently, and is working to surface proactive insights across more parts of the EHR so clinicians can see relevant context without initiating a search each time.
"We see our relationship with Anthropic as a long-term, strategic partnership centered on bringing clinician-focused AI to primary care," said Fong. "Looking ahead, we expect to deepen collaboration around evaluation frameworks, domain-specific prompting patterns, and emerging model capabilities that can further reduce primary care burden."
## Related stories
### How League went all in on Claude in a regulated industry
### League cuts product development cycle times in half with Claude
### How can a medical lab keep patients at the center of its work while the caseload keeps growing?
### How Zingage automates care coordination for 400+ home care agencies with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## emergent-claude-platform-api-case-study-claude-by-anthropic-ab93b276fc.md
# Emergent builds autonomous coding agents with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
\$25M ARR
Achieved in 4.5 months of commercial launch
2 million
Users enabled to build applications without coding knowledge
Customer story: Brex
94%
compliance rate vs 70% industry standard
[Emergent](https://emergent.sh) is an AI platform that makes building software as simple as having a conversation. The company has created autonomous coding agents that run in cloud-based development environments, where they write code, manage databases, handle deployment, and debug issues without human intervention.
## With Claude, Emergent has:
- Achieved \$25M ARR in 4.5 months of commercial launch
- Enabled more than 2 million users to build applications without coding knowledge
- Generated complete full-stack applications averaging 5,000+ lines of code
- Built multi-agent systems where specialized Claude instances handle frontend, backend, testing, and deployment
## The problem
Emergent set out to democratize software creation by removing coding as a barrier. The company's customers—founders building MVPs, product managers creating internal tools, domain experts developing industry solutions, and small businesses automating operations—typically pay \$25-50 monthly to build applications that would traditionally cost \$50,000+ in development fees.
"We've had three lives," said Mukund Jha, CEO and co-founder at Emergent. The company initially built an AI-powered QA testing product, with agents that could navigate web applications, understand interfaces, and verify functionality. Then on day one of Y Combinator, they had a revelation: if their AI could understand applications well enough to test them, why not build them?
They pivoted immediately. Version two was an enterprise coding agent that topped SWE benchmarks. But enterprise sales cycles slowed feedback to months. In January, they pivoted again—this time to consumers, packaging their agent into a web platform where anyone could start building immediately.
However, they faced three critical technical challenges. Models would forget instructions within the same session, specifying formatting requirements only to ignore them minutes later. They would write partial code with comments like "rest remains the same," making output unusable for actual development. Most problematically, agents needed to execute hundreds of terminal commands, but models consistently failed at maintaining correct syntax and parameter ordering.
## Claude enables complete autonomous development workflows
Emergent tested everything—leading proprietary models, open source options, all of it. Claude proved substantially better across the dimensions that mattered most.
Instructions given once remained consistent throughout entire projects. Command execution showed high accuracy in tool-calling syntax and multi-step workflows. The model consistently generated full code files spanning 500+ lines without truncation.
"The API integration was straightforward—we had it running in production within two days," said Jha.
## Emergent deploys Claude across development lifecycle
Claude powers five core functions in Emergent's platform. For code generation, it produces complete applications averaging 5,000+ lines across Python backends, JavaScript frontends, and database schemas. Different Claude instances handle specialized tasks in multi-agent orchestration—one manages frontend work, another handles backend logic, a third focuses on testing, and a fourth manages deployment.
For autonomous debugging, Claude analyzes stack traces, identifies root causes, and implements fixes without human intervention. It uses vision capabilities to verify UI functionality through visual testing. Claude also makes architecture decisions, selecting appropriate tech stacks and implementing design patterns.
"The bigger challenge was learning to trust it," Jha explained. "We kept wanting to constrain Claude, add guardrails, limit its capabilities. Then we realized: Claude performs better with more freedom, not less. So we gave it full access to virtual machines. That's when the magic happened."
The approach unlocked capabilities that weren't possible before. Projects can now complete 100+ step workflows successfully, compared to 10-15 steps previously. Agents generate 5,000+ line codebases without human intervention and build full-stack applications with separate frontend and backend architectures. They handle complex features like WebSockets, real-time updates, and payment processing, while automatically recovering from errors by fixing their own mistakes.
## The outcome
The final pivot to consumers, powered by Claude's capabilities, changed everything. Emergent went commercial at the start of June. Four months later, the company reached \$25M ARR with 2 million+ users and thousands of real businesses launched through the platform.
Projects that would traditionally take a freelancer two weeks get built in two hours. The technical integration took two days for initial setup, one week to fully optimize prompts, and two weeks to restructure the entire agent architecture around Claude's capabilities.
Looking ahead, Emergent is developing mobile and desktop application capabilities in the near term. Medium-term projects include voice coding, where users can describe applications verbally while Emergent builds them in real-time, and screen sharing functionality that lets users point at problems for the agent to fix.
The company is collaborating with Anthropic on production performance benchmarking, multi-agent orchestration patterns, long-context optimization, and real-world reliability metrics. Emergent's testing and evaluation data helps Anthropic understand production applications, while model improvements directly enhance the platform's capabilities.
"Our shared goal is making software development accessible to anyone who can describe what they need, regardless of technical background," said Jha.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## epic-systems-claude-code-case-study-claude-by-anthropic-4689c9b916.md
# A conversation with Seth Hain about Epic’s internal AI adoption
[Contact sales](/contact-sales)
Industry:
Healthcare
Company size:
Large
Product:
Claude Code
Location:
North America
195 million
patients globally use MyChart
Over half
of Claude Code usage is from non-developers
The Enterprise AI Transformation Guide for Healthcare & Life Sciences
Accelerate your enterprise AI transformation with proven strategies from Anthropic's customers.
[Read more](https://resources.anthropic.com/hcls-transformation-guide)
Advancing Claude in healthcare and the life sciences
Transform healthcare from insight to action
[Read more](https://www.anthropic.com/news/healthcare-life-sciences)
At Anthropic’s *“The Briefing: Enterprise Agents”,* leaders from some of the world’s largest organizations shared how they’re scaling AI adoption. One of those leaders was Seth Hain, SVP of R&D at Epic—the healthcare technology company behind MyChart, which is used by over 195 million patients around the world to access lab results, schedule appointments, communicate with their doctors, and more.
Seth sat down with Jonathan Dahlberg, head of Anthropic’s applied AI team, to discuss how Epic is deploying AI, what’s surprised them along the way, and what’s ahead for healthcare in 2026. The following conversation has been edited for length and clarity.
**Jonathan Dahlberg, Anthropic: How did AI adoption spread across Epic, internally?**
**Seth Hain, Epic:** It was a very natural progression, because we gave everyone at Epic the ability to explore AI. Pockets of learning would develop. It would often start with an individual, and then their teammates and neighbors. We're famously an in-person company, and a key part of that is the natural interactions in the break room or hallway—quick ideas traded back and forth. The excitement of something you build over the weekend and show to a colleague generates momentum. We ended up creating internal tools to help people see who was using AI and what they were doing with it, so others could adopt it quickly and try more.
And the pace kept picking up. When you're using AI personally, you end up having moments of surprise—when you realize what the AI is now capable of. Over the last five or six years, those moments started coming faster and faster, building on each other. Both the core models and the agentic tooling—the layer above the models—are improving. Because we gave everyone the ability to explore AI, everyone saw this happen.
**Dahlberg: Over half of your Claude Code usage is from non-developers. What surprised you about that?**
**Hain:** The folks on the ground have the best ideas, so it’s really important for them to have the opportunity to openly explore how AI works. Some of the most exciting things I’ve seen are non-developers taking tools like Claude Code and applying it to their own workflows.
Here’s a great example. One of my friends is a pharmacist at Epic, and he came back with a full prototype of some new pieces of functionality he wanted in MyChart. With AI, he was able to show everyone what he wanted in a whole new, interactive way—going beyond slides or written documentation. And now it’s a quick link that folks are exploring and then iterating on together.
**Dahlberg: How do you get people across the company to find the time for exploration?**
**Hain:** It starts with leaders spending time with these tools every day. They need to have that familiarity and sense of where things are developing and then use that to extend time to their employees to explore. We have a Friday afternoon meeting with many of our development leads across the company. We took an entire one of those meetings and said, you need to sit down and experience this for yourself. You need to have that aha moment. And it wasn’t just about those four hours, it was about establishing a foundation for our leadership to continue to iterate.
**Dahlberg: How do you build trust in AI in a clinical setting?**
**Hain:** There are multiple layers here. First, clinicians and health systems need to trust that you truly understand their needs. We’ve long required our developers to do immersion—they get on-site, in person. They spend time at the elbow with clinicians and staff to develop an understanding of workflows step by step, where the software fits, where human interactions take place.
And because we work in healthcare, we take “do no harm” seriously. That starts with our own development pipelines. Understanding how we can improve the level of quality of the code as it goes out the door, and how to use new capabilities—like skills and MCP servers—to carry out additional checks we could not do before.
Next, organizations need to be able to evaluate AI before taking it into production, and they need to be able to monitor it on an ongoing basis. Some examples:
- An early capability we released was a summarization of the medical record, and it included links to the parts of the record where clinicians could go verify. That provided a foundation so that as you move to more agentic capabilities, the organization and the users already have confidence.
- We have a capability for physicians and nurses to quickly respond to messages from patients. If you have an individual that is a hundred percent of the time using those drafts without any edit, that’s incorrect. And if you have an individual that zero percent of the time is using any of them, that’s also incorrect. So you have to be able to monitor that.
And the user experience needs to continue to adapt. The AI we use today needs to help acclimate folks across healthcare to what is continuing to come. And that’s where a number of us spend a lot of time at the company—helping think about how product design evolves through these different stages, as both the models and the agentic capabilities continue to improve, and helping users be able to activate these tools effectively.
**Dahlberg: What skills matter most as this technology evolves?**
**Hain:** Openness to adapting. The people who are moving ahead in leaps and bounds are the ones who are exploring and quickly adapting to what the technology makes possible. When you’re thinking about a medical record moving from the ED up to the back office and then to the patient taking care of themselves as they go home with follow-ups, there’s over a hundred handoffs between individuals just in that type of care. The individual that understands that and has spent time immersed in it is going to be able to guide these tools to create the next generation of software and capabilities.
**Dahlberg: Something feels like it’s shifted recently. What’s changed?**
**Hain:** One of the things I’ve noticed both internally as well as with health systems, if you go back 12, 24 months, was that AI was productively helping in segments of a person’s day or segments of a person’s workflow. It would save them time—for example, it would save a physician time in regards to completing their notes based on the conversation in the exam room. Or it would save time for folks at Epic in regards to finding information from some knowledge base. But it was narrow. The result of that was that folks still sort of spent the same total amount of time. They couldn’t insert truly new work into that day.
I think in the last eight to 12 weeks, that has started to shift. Those moments where the human had to jump into the middle have become fewer and fewer. And so now you have this contiguous block where the agents are able to do work and produce a result that somebody can engage with and spend time on. And so I think that’s why it feels qualitatively different now.
One example: we have a team working with customers on operationalizing access to care—making sure patients get scheduled with the right specialist right out of the gate. They built a shared Claude project to have conversations about what was happening across each of their customers. Now, whenever I ask for a status update, I get a link to a Claude conversation that answers the question. It’s functioning as part of the team, not just as an assistant.
**Dahlberg: What advice would you give enterprise leaders who are just getting started?**
**Hain:** Leaders need to be spending time in it. If they’re not, that needs to change right now, and not just at work but also personally. The second thing is to really look at your governance processes and make sure you don’t have unnecessary roadblocks.
Imagine an organization saying, “We don’t really give Excel out to our employees—we don’t trust that they have enough understanding of math and stats to be able to use it to analyze data, so we don’t provide it to them.” I think everybody would agree that that’s not going to be a recipe for success long-term. The same goes for AI. Start with leadership, and open the door to exploration.
**Dahlberg: What’s ahead for healthcare and AI?**
**Hain:** There is an immediate opportunity for agentic AI to help every patient, clinician, and health system operator. From patients getting their medical questions answered in MyChart, to insights for clinicians at the point of care based on the conversation in the exam room, to increased automation in the back office—all on the same integrated platform. This is moving quickly, with 85% of organizations we work with already using AI in production.
Beyond that, we’re building medical event models internally at Epic—AI trained specifically on real-world health records rather than general web text. And we’re seeing scaling laws apply to these models in the same way they apply to natural language models. There’s so much potential here.
## Related stories
### How League went all in on Claude in a regulated industry
### League cuts product development cycle times in half with Claude
### How can a medical lab keep patients at the center of its work while the caseload keeps growing?
### How Zingage automates care coordination for 400+ home care agencies with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## epilepsy-foundation-claude-platform-api-case-study-claude-by-anthropic-7466d844bc.md
# The Epilepsy Foundation turns years of expert content into a personal epilepsy assistant with Claude
[Try Claude](https://claude.ai)
Industry:
Beneficial Deployments
Company size:
Medium
Product:
[Claude Platform](https://claude.com/platform/api)
Partner:
AWS
Location:
North America
60,000 interactions with Sage
reached in under a year, before any major promotion
2.5x more interactions per session
From 1.2 to 3 since launch, as trust in Sage grew
[The Epilepsy Foundation](https://www.epilepsy.com/) is the leading nonprofit serving people with epilepsy across the United States. The organization is built around a simple mission: no one should face epilepsy alone. For more than two decades, its website, epilepsy.com, has been the authoritative source for epilepsy and seizure information. Today, a Claude-powered assistant named Sage turns that library into a personal conversation for anyone who needs one.
## With Claude, the Epilepsy Foundation achieved:
- 60,000 interactions with Sage, the Foundation's AI epilepsy assistant, in under a year, before any major promotion push
- 2.5x more interactions per session since launch, from 1.2 to 3 since launch, as trust in Sage increased
- Every answer grounded in 3,200 pages of medically reviewed content, with helpline and partner fallbacks
- Half a day to test and deploy each new Claude model, using a 20-question clinical benchmark
- Weekly, at-scale analysis of Sage conversations to surface community needs and refine guardrails
## The challenge
## People getting lost in 20 years of content
[Epilepsy.com](http://epilepsy.com) is the source people turn to when epilepsy enters their lives, whether they have just been diagnosed, are caring for a child, or are supporting a loved one. Somewhere between 8 to 10 million unique visitors come to the site each year, with about 35% coming from outside the United States. It’s trusted because every page is reviewed by the Foundation's expert editorial board, which is drawn from the nation's leading epileptologists and neurologists. These editors write or review every page and ensure that nothing is published without their sign-off. "There's no other place anywhere that has the depth and breadth of content that we have," said Sarah Klein, Chief Engagement Officer at the Epilepsy Foundation.
With such a wealth of content, the challenge arose when visitors needed to find the right information. The library consisted of tens of thousands of pages, and finding the right answer took real persistence. "People got lost in the rabbit hole of what was at one point 50,000 pages of content," Klein recalled. "You would have to be really committed to finding what you needed to find."
No fixed path could fit everyone. "No two people have the same epilepsy journey," Klein added. The site was strong at guiding a visitor to the right page, but building a route through content that met each person where they were proved much harder. At the scariest moments—a parent up at night or someone still absorbing a diagnosis—that gap sent people away from the one expert-vetted source and into the rest of the internet, where nothing had been checked.
Q&A: The Epilepsy Foundation
How the Epilepsy Foundation uses Claude across the organization
[Read more](https://claude.com/customers/epilepsy-foundation-qa)
## The solution
## Choosing a model with empathy built in
To tackle this challenge, the Foundation decided to build Sage. Sage itself is an AI epilepsy assistant: a conversational agent, built on Claude. The team started by treating model selection as a clinical question. They wrote 20 baseline questions, 10 a caregiver might ask and 10 from a person with epilepsy, and had its medical editors and researchers write the answer an expert would give. They ran the same questions through five models and scored each on accuracy, empathy, tone, and recommendations.
What they needed was a model that could handle sensitive medical questions with care, not just return accurate facts. Claude stood out on the dimension that mattered most for a vulnerable audience. "I think it was the empathy at the core of the model," said David-Alexandre Jost, the Foundation's Chief Technology and Innovations Officer. "Even though we didn't bake this into our own prompt, at the core, the Claude models were very empathetic."
On healthcare questions, the difference was just as clear: where other models stayed general, Claude went into the specifics and offered real recommendations. Reaching that feel with another model would have meant heavy prompt engineering. Claude arrived with it, so the team could focus on the experience instead of coaxing the model into the right tone.
With the model selected, where to run Sage was the next decision. The Foundation had already partnered with Amazon Web Services (AWS) and moved to the cloud to build a governed foundation three years prior. Security, access controls, and HIPAA compliance were in place before any application sat on top of it. So when Sage was ready, running it on Claude through Amazon Bedrock was the natural next step. Amazon Bedrock also gave them room to grow: Sage could scale from a few hundred conversations a day to several thousand without rebuilding. And because AWS runs the underlying systems, the Foundation's small team can spend its time on the Sage experience itself. Bedrock is model-agnostic, so the team can move fast when a new Claude model ships.
"When a new version of your Claude models comes out, it's usually available the same day on AWS," Jost said. "We just deploy it into our environment, create a test agent, and that takes about half a day." Getting a brand-new model into a working test in half a day is quick, and Jost noted it would be far harder on a system less tightly integrated. Every new Claude Opus and Claude Haiku release then goes through the same 20-question benchmark, and the same human reviewers, before it reaches production.
## Grounding every answer in vetted content
Sage is built on Claude Haiku 4.5 and runs as a widget on epilepsy.com. Every session is anonymous, and every question is answered only from a knowledge base of 3,200 pages of editorial-board-approved content. When the answer is not there, Sage says so and points the person to the Foundation's Helpline or a partner such as a local Affiliate office or the Rare Epilepsy Network, rather than guessing. "Our goal is to bring hallucinations to zero," as Jost put it. That grounding is what lets the Foundation stand behind every response.
Jost is careful not to call Sage a chatbot. "A chatbot is usually a one-way conversation,” he said. “I have a question, it matches the question to some content and delivers an answer. But Sage wants to have a conversation with you. It will not only answer your question but dig deeper on the why, so it can move you in the right direction." If someone asks about a type of seizure and mentions a pregnancy, Sage asks what medication they take, because that combination can matter.
Over time, the team noticed Sage doing useful things no one had explicitly programmed. For example, Sage began offering guidance pulled from the Foundation's vetted articles, like how to handle a situation at school or how to make the most of a few minutes with a neurologist. "We don't have to prompt everything into our agent," he added. "A lot of this is prompted from the knowledge base we created."
Beneficial Deployments
Accelerate the work that matters most
[Read more](https://www.anthropic.com/news/claude-for-nonprofits)
## The outcome
## 60,000 interactions driven organically
In less than a year, Sage passed 60,000 conversations, before the Foundation had done much to promote it. A typical week now brings about 1,000 unique sessions and 2,700 interactions, comfortably ahead of the team's early goal of 200 a day. Depth grew with volume, too: the average session has grown from 1.2 interactions at launch to 3, and power users go 20 to 25 turns deep in a single session. "People are trusting Sage more and more, because it gives them value in the conversation," Jost said. "Once you have that trust, they share more, and that context helps the next step."
The conversations that stay with the team are the ones the count does not capture. One Sunday night, a mother typed in: "My daughter just had a seizure. How long will she be confused? She's 19." Sage explained what was happening, that the confusion could last minutes to hours, walked her through how to keep her daughter safe, and offered the Helpline.
Another user had lived with uncontrolled seizures for two years, along with severe anxiety and worsening ADHD, and had just left an appointment where her neurologist waved off her symptoms. She spent an hour with Sage working through her history, then asked it to save the chat as a reference for her next visit, because she did not want to forget anything and knew she would. Sage generated a structured document organized by symptom, with a timeline and her questions. "This is actually spectacular," she wrote back. "I'm so glad I found this feature." Jost added that this wasn’t actually a feature, but Sage’s behavior adjusting in real time. "This is Sage creating a tool based on the need of that user," Jost said.
That pattern points to where the Foundation is headed. Power users are treating Sage as a diary, which matters most for community members with cognitive challenges, and the current version cannot carry memory across sessions yet. The next iteration, Sage Next, is being built on [Amazon Bedrock AgentCore](https://aws.amazon.com/bedrock/agentcore/) with authentication and short-term and long-term memory, so Sage can carry what someone shared weeks ago into a later conversation. "The vision for Sage was to really help you navigate all of that content,” Jost said. “But now Sage is more than this. It's your companion in your epilepsy journey."
## Related stories
### Mercy Corps on what AI makes possible in humanitarian work
### Mercy Corps accelerates global humanitarian response to community feedback with Claude
### How the Epilepsy Foundation uses Claude across the organization
### Building dignity-driven AI: A conversation with the National Domestic Workers Alliance
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
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- [Design](/product/design)
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- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
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## Industries
- [Financial services](/solutions/financial-services)
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- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
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## Company
- [Anthropic](https://www.anthropic.com/)
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## Products
- [Claude](/product/overview)
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- [Claude Cowork](/product/cowork)
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## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
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## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## epilepsy-foundation-q-amp-a-claude-by-anthropic-bd3617f240.md
# How the Epilepsy Foundation uses Claude across the organization
[Try Claude](https://claude.ai)
Industry:
Beneficial Deployments
Company size:
Medium
Product:
[Claude Platform](https://claude.com/platform/api)[Claude for Nonprofits](https://claude.com/solutions/nonprofits)
Partner:
AWS
Location:
North America
AWS Imagine grant drafted in a day
Weekly analysis of Sage conversations,
at scale, with Claude
Case Study: The Epilepsy Foundation
The Epilepsy Foundation turns years of expert content into a personal epilepsy assistant with Claude
[Read more](https://claude.com/customers/epilepsy-foundation)
[The Epilepsy Foundation](https://www.epilepsy.com/) is a nonprofit serving people with epilepsy across the United States, with a mission to ensure that no one faces epilepsy alone. Its public assistant, Sage, is a Claude-powered AI epilepsy assistant that answers only from the Foundation's medically reviewed content. In addition to the assistant, the Foundation has built Claude into how its own teams work. David-Alexandre Jost, its Chief Technology and Innovations Officer, spoke with Anthropic about writing grants, understanding what the community needs at scale, and what he thinks AI should and shouldn't do at a mission-driven nonprofit.
## Anthropic: Sage only answers from content your editorial board has vetted, and it tells someone when it doesn't have an answer rather than guessing. That's a deliberate stance on what AI should do. Where does it come from?
**David-Alexandre Jost, Epilepsy Foundation:** We made a decision early on to have authoritative content from the start. There is a lot of unreliable information out there. People who are scared go looking for a cure or a treatment and end up on forums and sites no one has checked. So on epilepsy.com, nothing gets published until our editorial board and our marketing team have approved it, and that is exactly why we could ground Sage in that knowledge base. That grounding is the difference between Sage and someone just opening any AI chatbot and prompting it. What surprised us is how far that grounding goes. Sage started showing behaviors we never programmed, and when we dug deeper, we noticed they were baked into the content we had ingested. Our lifestyle articles offer real recommendations, such as how to handle a situation at school or how to make the most of a few minutes with your neurologist. Sage learned to offer that kind of guidance on its own. We do not have to prompt everything into the agent. A lot of it is already in the knowledge base we built.
## Anthropic: You also use Sage to understand what your community needs. How does that work since every session is anonymous?
**Jost:** Because sessions are anonymous, we do not follow people from one visit to the next, which means a lot of the usual analytics simply are not available to us. So I use Claude Opus to write a weekly report on the behaviors we are seeing inside Sage. It has been a real eye-opener, because we can finally do this at scale. I have been running it for about six weeks, and the report gets better each time. The system has learned the kind of data I am looking for, partly because I give it feedback every week on which conversations to focus on. Now I get genuinely useful insights: which conversations to share with the team because they are a great story, and which ones point to a problem on the prompt side where we need to tighten a guardrail.
## Anthropic: What has that weekly read shown you about how people actually use Sage?
**Jost:** What stood out is how many of our power users treat Sage as a diary. They want it to *remember*. A lot of people in our community live with cognitive challenges, so a conversation from a few days ago can be genuinely hard to recall, and if Sage can hold onto those details, that matters to them. Right now it can't, because every session starts fresh. That one insight is driving the next version. Our next iteration of this product is Sage Next, which adds authentication and long-term memory, so it can carry something a person shared weeks ago into a later conversation, and even flag a medication risk they might have forgotten to raise with their neurologist.
## Anthropic: You bring that same grounding instinct to your own work. The clearest example is the grant you wrote for AWS Imagine. Walk us through it.
**Jost:** I have been using Claude on a daily basis for about six months, so by the time I sat down to write that grant, it already had all the context of how I work around Sage: how I talk about the technical pieces, how I think about the strategy. Drawing on all of that, I put together a compelling submission in a single day. I could not have done that in a day on my own. Without Claude, I would have likely had to spend 4x as much time on this grant. The value was not only speed. It meant the day went into shaping a strong story about Sage rather than staring at a blank page. There were a lot of lessons in it, and I am taking them back to our core and development teams so more of us can work this way.
## Anthropic: What else are you trying to build while piloting Claude across the Foundation?
**Jost:** The internal rollout of Claude is a trial to see how it fits for adoption across the organization. On the IT side we already have the governance to support it. Where I want to take it next is broader AI fluency. We are planning to use the courses available for nonprofits and teach our core and development teams how to build context in Projects, share that context, and work more collaboratively rather than everyone starting from scratch. The goal is a way of working where you can be confident that what you create with AI is accurate and good enough to share with the community. That is the future I see for the organization: everyone building on the same shared context, whether that is a grant, a piece of content, or the next version of Sage.
## Anthropic: You're also making this case beyond the Foundation, at conferences. What are you arguing for?
**Jost:** We just submitted an abstract to the American Epilepsy Society. If it's accepted, we'll be on a panel in December on how empathy is required when you have a conversational chatbot like Sage, and how important it is to ground it in content you own, with a team behind it that can do the editorial process. I'm also hoping to be on a panel at another conference on the technical side: how you audit the iterative process to get a better chatbot out there, with observability.
Beneficial Deployments
Accelerate the work that matters most
[Read more](https://www.anthropic.com/news/claude-for-nonprofits)
## Anthropic: All of this runs on sensitive health information. What lets you keep expanding what AI touches?
**Jost:** It goes back to why we built our foundation on AWS in the first place. We created an environment that can comply with HIPAA and other requirements, where we decide what personal or health information gets shared and what does not, how it is stored, and whether developers or researchers can access it. That is already baked into the system. For us, it comes down to governance: we know how to store this information, and we know how to share it based on the policies we have set.
## Anthropic: Across grants, analysis, and everything you're rolling out, what's the principle you keep coming back to?
**Jost:** Ground it in what you can stand behind, and keep humans in the loop. Everything we have built with Claude, from Sage to the way I write a grant, starts from content and context we trust. Get that right, and the tools compound. The same context that helped me write one grant in a day can help across the organization once people know how to use it. That is what I want for us: an organization where AI helps us do more of the work that matters, and where we stay confident that what we put in front of our community is valuable and accurate.
Nonprofits
Turn limited resources into lasting impact. Generate grant proposals, track program outcomes, and free your team to focus on serving your community.
[Read more](/solutions/nonprofits)
## Related stories
### Mercy Corps on what AI makes possible in humanitarian work
### Mercy Corps accelerates global humanitarian response to community feedback with Claude
### The Epilepsy Foundation turns years of expert content into a personal epilepsy assistant with Claude
### Building dignity-driven AI: A conversation with the National Domestic Workers Alliance
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## esentire-claude-platform-api-case-study-claude-by-anthropic-cd9363a32a.md
# How eSentire runs expert-level threat investigations at scale with Claude
[Try Claude](https://claude.ai)
Industry:
Cybersecurity
Company size:
Medium
Product:
Claude Platform
Partner:
AWS
Location:
North America
99.96% ransomware containment before encryption
more than double the industry average of 44%
120,000+ autonomous investigations in 12 months
each averaging 44 tool calls across endpoint, identity, network, and cloud telemetry
Introducing Claude Opus 4.6
We’re upgrading our smartest model. The new Claude Opus 4.6 improves on its predecessor’s coding skills. It plans more carefully, sustains agentic tasks for longer, and features a 1M token context window.
Building agents with the Claude Agent SDK
The Claude Agent SDK is a collection of tools that helps developers build powerful agents on top of Claude Code.
[Read more](https://claude.com/blog/building-agents-with-the-claude-agent-sdk)
eSentire is a managed detection and response (MDR) provider that protects millions of endpoints across thousands of customers worldwide. Its Atlas platform uses Claude to run autonomous threat investigations, analyzing signals across endpoint, identity, network, and cloud telemetry to catch and contain attacks in minutes.
## With Claude, eSentire achieved:
- 99.96% ransomware containment before any file encryption, more than double the industry average of 44%
- Over 120,000 autonomous investigations across its full customer base in 12 months, each averaging 44 tool calls across endpoint, identity, network, and cloud telemetry
- Above 90% alignment with top SOC experts in continuous production evaluation, matching or exceeding human analyst performance
- 6-minute average agentic investigation, where the industry median attacker dwell time is 11 days
- 41% more confirmed attacks detected per customer after deploying agentic investigations, with overall alert volume down 11%
## The challenge: Matching attacker speed without sacrificing depth
AI-powered attacks now run at thousands of requests per second, a pace no human SOC team can match. eSentire needed to investigate live threats across thousands of heterogeneous customer environments, correlating signals across endpoint, identity, network, and cloud layers, and reasoning about attacker intent with incomplete information. The challenge was doing this with the same depth a senior analyst would bring to every signal, not just the ones flagged as critical.
"When attackers can run AI agents that move faster than any human SOC, the only viable response is AI that defends at the same speed and depth," said Dustin Hillard, CPTO of eSentire. "That's what we built on Claude."
## The solution: Why eSentire chose Claude for security reasoning
Standard cybersecurity benchmarks had become saturated, with leading models scoring near-perfect, but those benchmarks present defined problems with verifiable answers. eSentire's production work is fundamentally different: the agent receives a detection event and telemetry sources, but no predefined answer, and has to decide what tools to call, how to interpret contradictory evidence, and what verdict to reach.
When eSentire evaluated multiple models across real-world security scenarios, Claude provided the highest performance for complex security reasoning. Its agentic capabilities excelled at orchestrating multi-tool workflows while maintaining investigative coherence, essential for MDR work, and each successive model generation has improved on that.
"Benchmarks measure whether a model can solve a known problem in a controlled environment," said Hillard. "We needed Claude to solve unknown problems in live customer environments, thousands of times a day, with expert-level depth on every single one. That's a fundamentally different challenge, and Opus 4.6 is meeting it."
## How eSentire runs agentic investigations with Claude
eSentire's Atlas platform runs Claude Opus 4.6 on Amazon Bedrock through Agent SDK in a multi-agent architecture that mirrors the workflow of a senior SOC analyst. Each investigation averages 44 autonomous tool calls: querying threat intelligence, correlating signals across SIEM and endpoint telemetry, analyzing identity activity, reconstructing attacker behavior across process and network data, and connecting findings across workflows. Over 12 months, the platform executed more than 5 million tool calls, representing 468,000 hours of equivalent expert effort, with each call averaging roughly 5 minutes of analyst work.
Each case follows a structured analytical workflow that would take a senior analyst hours to replicate manually, with multiple sub-agents collaborating on each case.
Where this shows up most clearly is in ambiguous cases. An identity compromise where the attacker's activity overlaps with a legitimate user's normal behavior requires the agent to weigh timing, geography, user agent strings, and email forwarding rules before making a judgment call. Opus 4.6 consistently handles these cases at a level that matches eSentire's best human investigators. And it has to reason effectively across 3,600+ distinct investigation workflows spanning every major EDR, SIEM, and identity platform.
After deploying agentic analysis, eSentire detected 41% more confirmed attacks per customer while reducing overall alert volume by 11%. More real threats caught, less noise. Senior analysts review and act on every critical finding, providing a trust layer that automation alone doesn't provide. The AI analyzes at depth on every signal, freeing the human team to focus on the judgment calls that matter most: customer engagement, containment decisions, and remediation strategy.
"Before agentic investigations, we had to choose between depth and speed," said Hillard. "Now every investigation gets the deep analytical rigor our best experts would apply. That's what changes outcomes."
## The outcome: Measurable containment at production scale
eSentire measures this rigor through continuous production evaluation: senior SOC experts independently review a sample of the same cases the agent has investigated, and alignment is measured across dimensions like whether compromise occurred, severity classification, and recommended response. Across more than 500 adjudicated outcomes, Claude consistently achieves above 90% alignment with senior experts on the final verdict. When compared against junior analysts using the same methodology, the agent outperforms them.
Across 12 months of production, the results are concrete. Of nearly 10,000 escalated incidents across more than 1,400 customers:
- 31% were blocked before execution,
- 18% were attempted attacks that failed,
- 36% were identity compromises detected and remediated before attackers accessed business data, and
- 14% were device compromises where the SOC detected activity, isolated the host, and drove remediation.
Across nearly two million protected endpoints, attackers achieved lateral movement to a second device in fewer than 0.5% of incidents. Ransomware encrypted files in less than 0.04%. Every one of those cases was detected. The question was never whether the attack was found, but how fast it could be stopped. For context, the global median attacker dwell time is 11 days, and only 44% of ransomware attacks industry-wide are stopped before encryption.
## Looking ahead
The platform is expanding to ingest and respond across any security technology a customer runs, regardless of vendor stack. Each new integration deepens both the investigative context and the response capabilities available to every investigation.
"We're building a platform where every security signal, regardless of vendor, gets the same depth of analysis and quality of outcome," Hillard said. As the threat landscape accelerates, eSentire's bet is that depth and speed aren't a tradeoff anymore.
## Related stories
### Vega's cyber defense platform returns 67% of analysts' time with Claude
### Cyera on making Claude Cowork the front door to 40 tools
### Cyera scales agentic AI across 1,500 employees with Claude Enterprise
### Kai delivers preemptive exposure management with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## eve-legal-claude-platform-api-case-study-claude-by-anthropic-d54bf7706c.md
# Eve Legal helps plaintiff law firms settle cases 60 days faster with Claude
[Try Claude](https://claude.ai)
Industry:
Legal
Company size:
Startup
Product:
[Claude Platform](https://claude.com/platform/api)[Claude Code](https://claude.com/product/claude-code)
Location:
North America
60 days faster settlement times
for firms on Eve
Cut engineering triage from three hours to minutes
with its internal Claude-powered developer tool
[Eve Legal](https://www.eve.legal/) is an AI-native platform for plaintiff-side law firms. Roughly two years after launch, over 1,700 firms run on the platform, 500 of them added this quarter alone. Claude runs the platform's heaviest workflows: analyzing a firm's operations and lawyer performance, dissecting case files that stretch to 70,000 pages, and drafting demand letters in each firm's house style. It also monitors thousands of cases across a firm each night, deploying agents based on the findings.
## With Claude, Eve Legal helps plaintiff law firms:
- Settle cases up to 60 days faster
- Increase settlement values by up to 30%
- Take on up to 30 additional cases per lawyer per year
- Turn case files of 2,000 to 100,000 pages into legal work output automatically
- Process 12.5 million documents a month
- Answer, prioritize, and sign potential clients automatically with voice agents
- Cut engineering triage from three hours to minutes with Wall-E, its internal Claude-powered developer tool
## The challenge
## Contingency law runs on hours nobody bills
Most plaintiff firms don't work on retainer. They typically take cases on contingency and get paid only when a case settles, so every hour spent on manual casework is an hour the firm absorbs itself until an outcome. The casework can often be demanding. For example, for personal injury attorneys, a single case file arrives as anywhere from 2,000 to 100,000 pages of unstructured records, which a paralegal previously analyzed line by line to build a medical chronology. It includes the ledger of a client’s injuries, the treatment timeline, what it cost, and what came after, all before any can go out.
That labor puts a hard ceiling on how many cases a firm can take, and clients’ cases that don't justify the hours often go unrepresented. Software previously built for the industry typically focused on tracking the labor as opposed to actually taking on the labor. Eve was started to take on all of the heavy manual labor that the legal profession entails," said Jay Madheswaran, CEO & Co-Founder of Eve.
Claude for Statrtups
Join the founders building on Claude. Access community and resources to accelerate your growth.
[Read more](https://claude.com/programs/startups)
## The solution
## A 400-suite benchmark where Claude keeps coming out on top
For Eve, taking on that labor started with a decision about how central AI would be. "We went all-in on AI from the start," Madheswaran said. "It's not, 'How can an attorney work with AI to do this task?' Instead, Eve created a new world where attorneys ask, 'What work do I need to approve that Eve has already done for me?'"
Eve evaluates model candidates against a proprietary benchmark it calls PlaintiffBench: around 420 test suites run against every model the company uses. "We are only willing to move forward on a model when we have confidence in those benchmarks," said Matt Noe, Co-founder and Chief Product Officer.
Claude Opus 4.8 is the production default for the platform's most complex work. Injury cases hinge on timelines, so a model has to reason precisely about when treatments happened and in what order; Noe names Claude's temporal reasoning as the standout. Accuracy across enormous records matters just as much. "Faithfulness and grounding on long documents is another dimension where we measure models, and Claude always stands at the top," Noe noted.
Firms hand Eve their document templates, noting that Eve’s drafts must sound like the firm wrote them. "We found Claude models, in particular Opus, really give us the style adherence of the law firm," Noe said. "It's very personalized to the lawyer's style of writing." Eve routes its hardest scenarios and long, multi-turn tasks to Claude Opus, and uses Claude Sonnet for lighter extraction work.
## One custom harness, routing traffic across three clouds
Inside Eve, those models carry a case through its entire lifecycle. When a new document lands, Claude classifies it, triggers the right workflow, extracts its contents, and builds it into the chronology and downstream drafts, all of which lawyers work with conversationally, chatting with their cases directly inside Eve. Claude also works at the top of the funnel: Eve transcribes calls coming into a firm's call center and scores each one, so intake teams know immediately which cases they can genuinely help with. These workflows earned their autonomy about a year ago, when Eve moved the whole system from a retrieval-augmented generation (RAG) architecture to an agentic one.
Eve built the infrastructure around the models itself. The harness reaches Claude through three routes, the native Claude Platform, Amazon Bedrock, and Google Cloud, switching between them automatically so workflows keep running as the company grows. The same engineering care goes to the output itself. "The work product that plaintiff lawyers ship has to have really high quality," Noe noted. "We really take pride in delivering that quality of product work for them that they can put in front of their clients."
Eve turns the same tooling on itself, building Claude Code into every engineering workflow, including Wall-E, its internal developer productivity system. When a support ticket or production incident hits Slack, Wall-E spins up an isolated environment where Claude agent loops debug the issue and open a merge request, cutting triage from three to four hours down to minutes. Even the finance team runs on it: Claude-built dashboards flag when the cost of a workflow, like writing a demand draft, creeps up week over week.
Choosing the right Claude model
Learn when to use Haiku, Sonnet, or Opus to get better results and stay inside your rate limit. A practical guide to picking the right Claude model.
## The outcome
## Two months faster to settlement
Firms on Eve settle cases up to 60 days faster, case life cycles run 50% faster, and settlement values are up 30% across customers. "Even the best lawyers at a firm are like, 'Oh, wait, I missed this,'" he said. The gains compound overnight. "You're creating agents powered by Claude that are taking on the work while you are sleeping," Madheswaran explained, "so that when you wake up, you're approving legal work that has been done overnight."
The platform processes more than 12.5 million documents a month. The capacity Eve frees up lets lawyers, in Madheswaran’s words, "get back to practicing law." Firms take on up to 30 additional cases per lawyer per year across personal injury, immigration, and labor and employment. At a firm of 100 or 1,000 people, that compounds into thousands more people represented than before. That reclaimed time goes to the clients themselves. "Eve’s taking on those tasks so that they can actually deal with the human element of what is oftentimes the worst thing that's ever happened to a client," Madheswaran said. "It's nice when altruism and a business model work hand in hand."
None of it is left to chance: a dedicated AI outcomes team guides every new firm through its first 90 days, automating 80% of the work the firm previously did manually. Last month, Eve expanded from managing cases to optimizing firms: attorney workloads, case prioritization, and revenue projections. Next on the roadmap are deeper agentic workflows, multi-step drafting, and agents that learn from a firm's feedback on everything from writing style to case strategy. "Personalizing it per case, per lawyer, and per organization," Noe said. "Those are all the areas where we are pushing towards."
## Related stories
### Spellbook runs 530,000 contract reviews a month with Claude
### EvenUp cuts document drafting from 15 hours to 15 minutes with Claude
### GC AI powers legal workflows for 1,500 companies, saving lawyers 14 hours a week with Claude
### Thomson Reuters CTO on piloting Cowork with Claude Enterprise
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## evenup-claude-case-study-claude-by-anthropic-721afea050.md
# EvenUp cuts document drafting from 15 hours to 15 minutes with Claude
[Try Claude](https://claude.ai)
Industry:
Legal
Company size:
Startup
Product:
[Claude Platform](https://claude.com/platform/api)[Claude Enterprise](https://claude.com/solutions/enterprise)[Claude Code](https://claude.com/product/claude-code)
Location:
North America
Documents drafted in minutes,
down from 8 to 15 hours of skilled work per case
300% increase in settlement offers
with AI Drafts backed by cited evidence
[EvenUp](https://www.evenuplaw.com/) built its AI platform around one idea: an injury victim's case shouldn't be weaker just because their firm is smaller. Solo practitioners and multi-state firms use it across the case lifecycle, and have resolved more than 200,000 cases and secured more than \$10 billion in damages for injury victims. Claude models do the reading, extraction, and reasoning. EvenUp adds PI data, domain expertise, and proactive automated workflows on top.
## With Claude, EvenUp:
- Documents drafted in minutes, down from 8 to 15 hours of skilled work per case
- Raised settlement offers 300% for firms presenting the full damages picture with cited evidence
- Tripled customer firms' demand output, with one practice clearing a 45-day backlog
- Reduced case discovery response time from 5 hours to 30 minutes
- Increased accuracy on past medical expense totals by 14% on smaller cases
- Delivers drafts with 16% greater completeness and fewer missing records
## The challenge
## Weeks of skilled work inside every document
A personal injury case runs on documents: demands, negotiation sheets, discovery responses, medical summaries. Each one has to be formatted correctly, factually airtight, and toned to match the firm. Before EvenUp, getting there was entirely manual. "A paralegal with a highlighter worked through stacks of records that were weeks late and out of order, said Emre Yamangil, Principal Machine Learning Engineer at EvenUp. “The same visit could be documented three different ways by three different providers."
One California firm juggled 1,500+ active cases, 250 of them in litigation at any given time, and ran its entire demand-writing function through a single person. A 45-day backlog slowed every case behind it. Paralegals at an Ohio-based firm built medical chronologies and totaled bills by hand, taking 8 to 15 hours for each case. Firms faced a choice: take the case and eat the hours, or refer it out.
Choosing the right Claude model
Learn when to use Haiku, Sonnet, or Opus to get better results and stay inside your rate limit. A practical guide to picking the right Claude model.
## The solution
## Selecting Claude for long-context performance
EvenUp selected Claude, with Opus 4.8 handling the deepest reasoning. The choice came down to two capabilities: consistency and long-context performance. "Other models can write one good paragraph, but Claude stands apart,” said Yamangil. “Keeping a single consistent story across thirty pages is the real test." Claude supplies that consistency; the routing and verification EvenUp built around it turn that into documents a firm can afford and an adjuster can't discount.
“PI law presents some of the toughest challenges for AI,” said Rami Karabibar, CEO at EvenUp. “Claude Opus 4.8 delivers a new level of reasoning, reliability, and long-context performance. EvenUp adds PI data, domain expertise, and purpose-built workflows.”
Which Claude model gets a task depends on where a mistake could hide. Everyday extraction runs on Sonnet or Haiku. Opus takes the jobs where polish could hide an error: making sure the document's argument holds together. "If a model gets a date wrong, that's easy to catch," added Yamangil. "Attorneys and staff can check the source page. If it builds an argument that's subtly wrong, that mistake looks just as confident and polished as a correct one."
## Settle the facts once, then write
A case often arrives as 1,000 pages or more, and includes records from a dozen providers, billing ledgers, and police reports. EvenUp's drafting product called AI Drafts is supported by Claude and reads records on a ladder, climbing only as far as each page requires.
The system reads each page the most affordable way it can, and only climbs higher when it has to: real text, then standard OCR, then Claude's vision for the scanned bills and checkbox forms neither one can handle. Vision costs the most to run, and it earns that cost, because a misread number hurts the client directly: the demand asks for too little, or the adjuster catches the error and the firm's credibility goes with it. Every document also gets sorted first, a billing statement, a clinical note, an intake form, so the system only asks each page what it can actually answer. Every fact keeps a citation to its source page, duplicates get merged, and the whole record is settled once, before drafting starts. Nothing downstream would catch two parts of the system disagreeing about the same fact, and one contradiction is enough for an adjuster to discount the entire demand.
Only then does drafting begin. Opus sets the blueprint: what legal rules apply, what the other side will attack, what the throughline of the case is. Then it checks those answers for consistency across the whole document, just once. Sonnet writes each section from that blueprint, following state-by-state rules and conventions written in plain English instead of code. "That only works if the model obeys the fortieth instruction, buried deep in a long document, as faithfully as the first," said Yamangil. "Claude did." Every draft still ends with a person: an attorney reads, checks, and signs it.
Another feature that totals what a case is worth on paper works off records the pipeline has already extracted and validated. On smaller cases, under 150 pages, a single Opus pass beat a longer chain, lifting accuracy on past medical expense totals by 14 points.
"Getting one case right is easy," Yamangil said. "Getting the hundred-thousandth case right at a cost a firm can actually afford is the hard part." EvenUp tracks the cost of every task, so a spike traces to its source within a day. “Cost is something you engineer,” he added.
Claude Enterprise
Put Claude to work across your organization. Help everyone think deeper, do more, and build securely.
[Read more](https://claude.com/solutions/enterprise)
## The outcome
## A month of drafting comes back in minutes
Drafting that once took 8 to 15 hours of skilled work now returns as finished drafts in about 30 minutes, a 99% decrease. Settlement offers across EvenUp’s customer firms are up 300%. At a national personal injury firm that uses EvenUp, a lead case manager said they’re "seeing demand output that is 3x over what we've produced internally."
The California firm that ran all of its demand writing through one person adopted EvenUp and cleared its 45-day backlog. Demands that took a month now take about ten minutes, and attorney review moves 75% faster. The firm says that speed hasn’t come at the cost of quality: and says it has traced its strongest settlement offers back to having detailed explanations from drafting. After filing suit, the firm now sharpens arguments into mediation briefs with AI Drafts, which helped settle a traumatic brain injury case well into six figures. In one early slip-and-fall case, the first offer came back 10x higher than expected. An Oregon firm's drafting turnaround fell from months to days, and their team reported that revenue has grown 400% in one year.
The same shift runs inside EvenUp itself, where 200+ employees use Claude Enterprise and Claude Code is spreading through engineering. Yamangil's team used Claude to build an AI cost-and-forecasting system that now steers the company's model decisions, and a set of agents whose job is debugging the other agents. “Neither project would have ever been staffed on its own,” he said. “Both exist now.”
The change reads differently from inside a firm. "I've been doing medical billing spreadsheets for over 25 years,” said a paralegal at an Ohio personal injury firm on EvenUp. “At first, I was hesitant to give up control, but with the way our firm is growing, I just don't have the time I used to. EvenUp has been a huge stress relief. It helps us move cases faster, benefits the client, and supports the whole firm."
That relief is what EvenUp wants to build on. Yamangil's advice to anyone building AI for a specialized industry hasn't changed: "Spend your expensive model where you can't verify cheaply," he said. "The case doesn't end when the demand goes out, and neither does the opportunity to save a firm time on it.”
## Related stories
### Spellbook runs 530,000 contract reviews a month with Claude
### Eve Legal helps plaintiff law firms settle cases 60 days faster with Claude
### GC AI powers legal workflows for 1,500 companies, saving lawyers 14 hours a week with Claude
### Thomson Reuters CTO on piloting Cowork with Claude Enterprise
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## factory-claude-platform-api-case-study-claude-by-anthropic-e2fea2428a.md
# Factory is building Droids for software engineering with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
550,000 hours
of development time saved
20% reduction
in development cycle time
Factory uses Claude to power autonomous droids that streamline software development for enterprises, saving customers over 500,000 engineering hours and millions of dollars across each step of the software development lifecycle.
- 550,000 hours of development time saved across customers
- Reduced development cycle time 20%
- 3x reduction in code churn
## Automating labor-intensive coding tasks
Factory, founded in 2023, is on a mission to bring autonomy to software engineering. The company builds AI-powered systems called "Droids" that automate labor-intensive tasks throughout the software development lifecycle. These Droids can handle everything from code review and documentation to end-to-end coding tasks like refactors, migrations, and feature requests.
"As software is built and companies grow, organizational structure and engineering practices become inconsistent. It leads to bottlenecks and slowdowns," explains Eno Reyes, CTO and Co-Founder at Factory. "There really wasn't any one tool or system that could handle the ambiguity required to navigate the entire software lifecycle, especially one that scaled with the organization."
Factory's solution is to create autonomous systems that can understand and navigate the complexities of large-scale software development. Their Droids use AI to analyze codebases, make decisions, and execute tasks with minimal human intervention.
## Building agentic AI systems with Claude
To create these autonomous systems, Factory needed AI models capable of complex reasoning, planning, and decision-making. They found their solution in the Claude 3 model family.
"We're trying to model human cognition," says Reyes. "We need systems that are agentic in nature. They have to have planning, subgoal decomposition, reflection on failure, refinement of tasks as they act. They need memory, both short-term and long-term. They need to be able to retrieve information and use tools. Anthropic and Claude have consistently delivered what we need to get there."
Factory uses Claude 3 Opus for tasks requiring heavy reasoning and complex decision-making. For high-volume tasks that still require good reasoning but need to be very fast, they employ Claude 3 Haiku. This combination allows Factory to create AI systems that can handle the ambiguity and complexity inherent in large-scale software development.
> The Claude 3 model family is best-in-class for agentic engineering tasks. Claude 3 Opus outperformed comparable models by a fair margin across a variety of our internally-developed benchmarks for software engineering. In addition, Claude 3 Haiku delivered the most impressive combination of performance and speed in its class.
— Eno Reyes, CTO and Co-Founder at Factory
## Streamlining development for enterprise customers
Factory's Droids are already making a significant impact for their enterprise customers. The company typically works with organizations that have hundreds to thousands of engineers.
One of their key products is the Review Droid, which automates the code review process. When deployed, it analyzes pull requests, provides contextualization, leaves inline comments, and helps other reviewers understand the changes. Another product, the Code Droid, can take a ticket from a project management system like Jira or Linear, work on the task, and create a pull request to implement the requested feature or fix.
Both of these Droids, which are powered by Claude, dramatically reduce the time engineers spend on routine tasks—enabling engineers to focus on higher-level problem-solving and new opportunities. Factory estimates that across all their customers, they've saved approximately 550,000 hours of development time. On average, each organization saves about 2,300 hours, which translates to a 20% reduction in development cycle time.
## Pushing the boundaries of AI in software development
Factory's use of Claude goes beyond simple task automation. They're developing sophisticated systems that can handle complex, multi-step processes in software development.
This focus allows Factory to create AI systems that can handle the immense complexity and variability of real-world software development tasks. Their systems can plan, break down problems into sub-steps, and make decisions at each stage of the process.
Factory’s commitment to advancing the state of the art in AI-powered software development is evident in their recent [technical report](https://www.factory.ai/news/code-droid-technical-report), where their Code Droid—which is powered in part by Claude—delivers state of the art performance on software engineering benchmarks.
## Looking to the future
Factory continues to grow and refine their AI-powered droids. Their plans include both deepening the skillset for existing droids while also further transforming the software engineering landscape.
With their innovative use of LLMs and their focus on solving real-world problems for enterprise customers, Factory is well-positioned to lead the way in bringing true autonomy to software engineering.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## figma-claude-platform-api-case-study-claude-by-anthropic-b930d2bce3.md
# Figma transforms ideas into interactive software with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Large
Product:
Claude Platform
Location:
North America
Working prototypes in minutes
Designers, developers, and product managers create prototypes or apps without writing code
Claude Opus 4.6
generates complex, interactive apps and prototypes in Figma Make
Introducing Claude Opus 4.6
We’re upgrading our smartest model. The new Claude Opus 4.6 improves on its predecessor’s coding skills. It plans more carefully, sustains agentic tasks for longer, and features a 1M token context window.
Introducing Claude Code
See Claude Code in action—from concept to commit in one seamless workflow.
[Figma](https://www.figma.com) is the collaborative design and development platform where teams create digital products—from initial concepts to shipped experiences. With Claude powering Figma Make, Figma enables teams to quickly transform ideas and static mockups into fully functional, interactive software, accelerating the journey from imagination to reality.
## Key results with Claude
- Designers, developers, and product managers create working prototypes or apps in minutes—without writing code
- Teams explore more design and product ideas by automating time consuming tasks
- Non-designers can now visualize ideas, bringing more people into the design process
- Claude Sonnet consistently delivered on code quality, design intent, and speed
## The evolution of design
Figma recognized that the role of design is rapidly evolving with AI. As the leading design platform, they saw an opportunity to help designers expand their creative impact—enabling them to bring designs to life—while inviting more people into the design process.
AI unlocks a new way to quickly visualize design ideas and turn static mocks into interactive experiences with a simple prompt. By bringing this capability to Figma, teams can explore many different directions without manually creating prototypes or writing code.
This evolution also aligned with broader industry shifts. Alex Mullans, a product manager at Figma, noted, "The traditional handoff between design and development creates friction. There's back-and-forth where the developer returns saying 'here's what I built,' and it doesn't match the original vision.” Figma’s collaborative platform brings design and development closer together to maintain craft and quality throughout the entire process.
## Choosing Claude for technical prowess and design sensibility
When evaluating AI models, Figma sought a solution that could generate high-quality code while understanding design intent and aesthetics.
Mullans described their evaluation process, saying, "We regularly evaluate various models. Claude consistently delivers the right combination of speed, accuracy, and understanding user intent."
Claude's design sensibility also sets it apart, the team shared. An engineer for Figma Make explained: "Before Anthropic came around, you saw these AI models were intelligent, but they definitely lacked taste, they lacked character. You would ask them to generate a design and the design would come out rather flat. And then Anthropic came around and now we have both intelligent models and models with taste."
Holly Li, product manager for Figma Make, had firsthand experience with Claude's capabilities. "I spent 30 hours teaching myself React to build my website. With Claude, I refactored and improved all that code in a single day, adding features I'd always wanted but couldn't implement myself."
The team identified Claude Sonnet as their breakthrough moment—the point when code generation became good enough to enable their vision for Figma Make.
## Interactivity via natural language
Figma integrated Claude into two transformative products that turn ideas into code-backed software. The first allows designers working in [Figma Sites](https://www.figma.com/sites/) to add interactivity to existing website designs by describing what they want—selecting elements and typing natural language prompts like "add a hover effect that tilts when my mouse is over it." Claude quickly generates high-quality code while preserving the details of the original design.
The second product, [Figma Make](https://www.figma.com/make/), creates interactive prototypes or apps from descriptions or existing Figma designs. As Li explained: "Figma Make is a way to go from idea to real software. You can either start from scratch or start with an existing design that you've created in Figma." Users can type a prompt describing what they want, or copy their pixel-perfect mockups from Figma Design, and Claude transforms them into fully functional prototypes with complex logic, animations, and responsive behaviors.
Li articulated their design philosophy, saying, "AI should meet designers where they are. If you've already crafted the perfect design, you shouldn't have to start over. Claude adds the interactivity while respecting every pixel you've placed."
The team saw remarkable improvements with each Claude update. Li shared, "A prompt now generates sophisticated designs with gradients, varied typography, and thoughtful motion. One of our designers even said 'Claude is so good, I want to cry.'"
## New models accelerate the vision
The Figma team stays on the cutting edge, constantly testing the latest Claude models.
"Sonnet 4.5 is a very impressive model," said [Dylan Field, Figma CEO](https://www.linkedin.com/posts/dylanfield_spent-the-last-few-days-exploring-the-capabilities-activity-7378474821879341056-h54Z). "We're very impressed so far with how much it can plan ahead, and also how much it can reason about complex codebases." Field explained how the model has transformed Figma designs into functional code. He highlighted the improved round-trip workflow between Figma Design and Make—copying designs in, generating working prototypes, then bringing them into the design canvas to iterate further and compare explorations side-by-side. "We had no idea how much better this round trip would get with Sonnet 4.5... it's been a very happy surprise," he noted. Field called the experience "a joy to play with," adding that the model "has already really shown quite a difference" in Figma Make's capabilities.
Figma also introduced an experimental models setting, giving users access to the latest releases—including the new Claude Opus 4.6—as soon as they're available in Figma Make. "Claude Opus 4.6 generates complex, interactive apps and prototypes in Figma Make with an impressive creative range," said Loredana Crisan, Chief Design Officer at Figma. "The model translates detailed designs and multi-layered tasks into code on the first try, making it a powerful starting point for teams to explore and build ideas." The experimental setting lets teams push the boundaries with new capabilities as Claude continues to evolve.
Every new model release unlocks new possibilities for what teams can create. Field shared, “As AI models get better, Figma gets better.”
## Making design and software creation accessible to everyone
By lowering technical barriers, Claude enables all kinds of Figma users to validate ideas faster, explore more creative directions, and bring diverse perspectives into the product development process.
Speed transforms what's possible. Li illustrated this with her own experience, saying, "I prototyped a new product flow with Figma Make in five minutes. Before, that would have been literally impossible for me to do alone as a product manager without design and engineering support."
This acceleration enables entirely new workflows. Early users have shared compelling examples: one designer pitched a VC on a startup idea by prototyping it over a weekend using Figma Make, impressing the investor with a fully functional demo. Another user used Make to bring a long-shelved concept to life—turning it interactive finally got the company talking about it again.
Beyond individual productivity, Claude also democratizes who can contribute to product development. Mullans observed, "Product managers who think in spreadsheets and data tables can now create visual prototypes to communicate their ideas. Engineers can quickly mock up interfaces without spending time with CSS. Everyone across the organization can contribute more effectively to the design process."
The shift goes deeper than tools—it's changing how teams approach product development. Now, engineers can design, product managers can prototype, and designers can ship software. Figma Make is blurring the boundaries between different roles, helping everyone visualize an idea, participate in the design process, and bring a product to life.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## financial-services-claude-by-anthropic-6305790fc0.md
# Claude financial services
## Your financial competitive edge, from signal to decision
Claude helps leading financial institutions across banking, insurance, asset and wealth management, and fintech improve how they serve clients and markets and manage risk.
[Contact sales](/contact-sales/financial-services)
[Try Claude](https://claude.ai)
[Play video](#)
Play video
“Advisors are navigating increasingly complex client needs while facing an accelerating pace of change across markets and technology. Our work with Anthropic is an important step in our broader effort to bring BlackRock’s portfolio intelligence and asset allocation expertise to more advisors to help them scale their business and build better portfolios. By making our institutional-quality portfolio analytics more accessible, we are helping more advisors leverage our portfolio intelligence so they can spend more time focused on client relationships.”
Jaime Magyera, Head of US Wealth & Retirement Businesses
“Anthropic builds AI aligned with human values. Mercer Advisors builds family offices aligned with client interests. That shared obsession is core to both firms and anchors our partnership. Claude helps our teams to work seamlessly across clients' financial lives, while judgment and accountability stay with the advisor. That is how AI should work in any profession built on trust.”
Daniel Gourvitch, President
“We are pleased to see Anthropic's continued investment in capabilities tailored to the unique needs of financial advisors. Our collaboration is rooted in a shared belief that technology should support advisors, not replace them, helping them navigate complexity and more efficiently serve clients while keeping human judgment and discretion at the forefront.”
Ashley McCarthy, Chief Operating Officer & Counsel-Managing Director
“The future of advisor technology will be defined by how well firms can connect trusted data, powerful intelligence, and everyday workflows. Our collaboration with Anthropic reflects Schwab's commitment to helping registered investment advisors (RIAs) leverage innovation within the tools they already use, making it easier to serve clients, scale their practices, and grow with confidence."
Jon Beatty, Head of Schwab Advisor Services
"Claude Fable 5 delivers more capable engineering in fewer turns than prior models—handling the complex multi-agent workflows our employees run daily in Claude Code."
Luke Anderson, CTO
“Claude Fable 5 is the strongest finance-first model we've tested, both on general finance and reasoning. It's a notable step up.”
Damian Miraglia, Principal Engineer, Applied AI
"Claude Fable 5 aced our trading-analysis evaluations nearly across the board: factual lookup, conceptual reasoning, root-cause analysis, expected-value analysis. We haven't seen this kind of performance before."
Marquis Wong, Principal AI Engineer
"What stands out about Claude Fable 5 isn't just that it can execute multi-step workflows, but how little friction there is along the way. Compared to other models it also showed an emergent ability to pull complex data and perform with an efficiency that wasn't previously possible."
Alex Wang, Applied AI
"Claude Fable 5 beats Opus 4.8 on our everyday spreadsheet suite at every effort level — and it does it with fewer turns, finishing runs 25–30% faster."
Peter Wang, Chief Science Officer, Shortcut
“Our investment professionals live in data and analytical models, and Claude for Excel meets them there. Analysts are using it to build and update coverage models, separate signal from noise, and pressure-test their work — all with a step-change in efficiency.”
Atte Lahtiranta, Head of Core Engineering
“FIS sits at the center of how money moves for thousands of financial institutions worldwide. When we began to build AI agents, we knew we needed a provider we could trust. Anthropic was the clear choice. Together we're building an agent that compresses AML investigations from days to minutes, with credit decisioning, fraud prevention, and deposit retention agents to follow. FIS clients won't need to build this infrastructure themselves. It's already here.”
Stephanie Ferris, CEO and President
“With Eliza and Claude, we’re giving processes new digital employees who work the case end to end.”
Leigh-Ann Russell, CIO & Global Head of Engineering
“Carlyle has adopted Claude as a key part of our AI technology stack because of its strong coding capabilities, agentic reasoning, and continual advances in both the underlying models and key features. Claude is a core tool for delivering value across our firm from investing to operations to portfolio management.”
Matt Anderson, Chief Digital Officer
“Claude compresses and enhances the work before the meeting so each and every meeting is more impactful — prep time has been transformed into idea time, with faster workflows, richer client insights, and new use cases we didn’t anticipate.”
Patrick Suehnholz, Managing Director & Banking COO
“Since we started introducing personalized Claude and Claude Code assistants, we have seen significantly elevated levels of engineering excellence and meaningful improvements in productivity. We are pleased to be delivering value by putting AI to work in advancing the company’s strategic innovation priorities of extending our advantage in risk expertise; providing great experiences for our customers, distribution partners and employees; and optimizing our productivity and efficiency.”
Mojgan Lefebvre, Executive Vice President and Chief Technology & Operations Officer
“Enterprise AI only works when it can verify who it is acting on. The world’s largest financial institutions rely on Dun & Bradstreet’s Commercial Graph and D-U-N-S® Number as the global standard for business identity and relationships: foundational to decisions from underwriting to customer acquisition. Bringing this into environments like Anthropic’s Claude ensures that AI systems and agents operate on verifiable data, understand real-world connections, and deliver the deterministic, auditable outcomes required in financial workflows. In parallel, D&B team members are using Anthropic’s Claude in their own workflows and continuing to explore how leveraging business intelligence with Claude can bring value to clients in new ways.”
Gary Kotovets, Chief Data and Analytics Officer
“Investors need AI they can trust — and trust starts with the data behind it. Morningstar and PitchBook bring decades of independent, analyst-backed intelligence to Claude, so users aren’t just getting faster answers. They’re getting better ones. Together, we’re building the intelligence layer that powers smarter decisions across public and private markets.”
Adam Wheat, Chief Technology Officer and Head of Data & Research Solutions
“Our clients — institutional investors, asset managers, hedge funds, and banks — increasingly want to run AI-assisted workflows directly against select sets of FactSet data. Partnering with Anthropic lets us bring Claude into a hosted programmatic environment where they can reason over our foundational market data, research, and analytics in the tools they already use. Internally, firm-wide Claude Code adoption across our engineering org is accelerating how quickly we can ship those capabilities.”
Kate Stepp, Chief AI Officer
“Citi chose to leverage Claude as part of its AI powered Developer Platform because of its advanced planning and agentic coding capabilities, focus on safety and reliability, and compatibility with our workloads.”
David Griffiths, CTO
“Working with Anthropic goes beyond deploying another AI tool—it’s about partnering with a company that understands the complexity that financial services requires. Claude excels by seamlessly integrating multiple data sources and automating workflows that previously consumed significant time. We’re collaborating with Anthropic to digitize workflows across our Capital Markets platform, ensuring our teams can dedicate more time to strategic thinking and relationship building that drives client growth.”
Bobby Grubert, Head of AI and Digital Innovation
“With our GenAI-ready data offerings, we continue to support our customers in their AI evolution—enriching our data via a semantic layer and delivering it through Model Context Protocol (MCP) servers and Smart APIs. Our partnership with Anthropic makes Moody’s vast data estate—including ratings, research and public and private company information— accessible directly where our customers are innovating.”
Cristina Pieretti, Head of Digital Content and Innovation
“What we’ve valued about Anthropic is not just their powerful models, but how they’ve positioned them for enterprise needs. When I talk with customers about AI, data privacy is always their first concern—it’s the critical foundation we have to address before we can even begin discussing capabilities.”
Read story
[Read story](https://claude.com/customers/brex)
Read story
David Horn, AI Lead
“75% of our engineers now save 8 to 10+ hours every week using our open source AI agent for creating SQL queries (codename goose)—accelerating velocity and cutting down on busywork. For the tasks we care about measuring specifically, the Claude family has performed the best.”
Bradley Axen, Principal Data and Machine Learning Engineer
“Anthropic’s multi-cloud solution stands out for its scale, performance and security, aligning with our operational needs and customer expectations. It exceeded our performance benchmarks and met all our security requirements, making it the ideal solution. We think Claude will help Coinbase build solutions for different customer segments and bring a billion customers to the crypto economy.”
Varsha Mahadevan, Senior Engineering Manager
“LSEG has a long-established reputation for our open, partnership approach and meeting our customers wherever their workflows are taking place. Secure, enterprise grade AI applications, such as Claude, are expanding the opportunities for LSEG to build deep partnerships with customers.”
Ron Lefferts, Co-head, Data and Analytics
[Prev](#)
Prev
0/5
NEW: Claude for financial advisors
## Claude does the heavy lifting, you give the advice
Claude works across the systems your advisory team runs on, so your time goes to clients.
[Contact sales](https://forms.gle/oyQLyXe7x8zzRuGv7)
### Connect your wealth stack
Claude connects to your custodian, portfolio, planning and CRM systems, plus the tools you use to communicate and sign.
Browse connectors
[Browse connectors](https://claude.com/connectors)
Browse connectors
### Ready-to-run advisor workflows
Use the plugin to tailor Claude to advisor workflows like client onboarding, meeting prep and follow-up, account opening, portfolio reviews, proposals, and compliance reviews, all with review steps and an audit trail built in.
Install the plugin
[Install the plugin](https://claude.com/plugins)
Install the plugin
### Built for how RIAs run
Claude comes configured for an independent practice: the connections, workflows and approval steps a firm needs from day one, with a guided path to get every advisor on it.
Learn more
[Learn more](https://claude.com/blog/claude-for-financial-advisors)
Learn more
[Play video](#)
Play video
## Works with
Inside Claude for financial advisors: a day in the life
A walkthrough of the connectors and advisor workflows from the team that built them.
Watch now
[Watch now](https://www.anthropic.com/webinars/inside-claude-for-financial-advisors)
Watch now
## Built for finance
Claude processes data, runs complex analyses, and generates models and reports in minutes. Every number can be traced back to its source, on infrastructure your risk and compliance teams trust.
### Trusted AI for finance
Safety is trained into the model, and every output is source-attributed so teams can verify work before they act. Claude meets the compliance requirements your risk committee expects, including SOC 2 and FedRAMP.
### Performance at market speed
Claude leads on financial reasoning benchmarks and works natively inside Excel and PowerPoint to read formulas, edit slides, and process data. Pre-built integrations with LSEG, FactSet, S&P Global, Morningstar and more connect your data.
### Your partner in financial transformation
Access a dedicated FSI solutions team, flexible deployment across AWS, Google Cloud, and Azure, and SI partnerships for enterprise rollout.
New finance agent templates, expanded connectors, and Microsoft add-ins
Learn more
[Learn more](https://anthropic.com/news/finance-agents)
Learn more
## How finance teams use Claude
See how teams across banking, insurance, and asset management are putting Claude to work.
Investment banking
Commercial banking
Asset management
Insurance
Active
Prompt
Build a valuation summary slide for the Meridian acquisition using the attached CIM and peer financials. Include peer median and Meridian multiples for EV/Revenue and EV/EBITDA, an implied valuation range across comps, DCF at 10-12% WACC, and precedent transactions. Show current share price vs. implied midpoint with upside, and flag where Meridian sits in the 52-week range. Format for our standard pitch book template in PowerPoint.
Attachments
Meridian_CIM_2026
842 kb
pdf
Peer_Financials_Q1
156 lines
xlsx
P
Meridian_Valuation_Summary.pptx - PowerPoint
Meridian Software — Valuation Summary
Selected Comparable Companies Methodology \| CY2026E Multiples
Peer Median EV/Rev
8.9x
Peer Median EV/EBITDA
27.6x
Meridian EV/Rev
8.1x
Meridian EV/EBITDA
25.8x
Meridian Rule of 40
53.8
Implied Valuation Range (\$ in Billions)
EV / Revenue
\$8.3B – \$10.8B
EV / EBITDA
\$8.6B – \$11.2B
DCF (WACC 10-12%)
\$9.1B – \$12.8B
Precedent Txns
\$9.8B – \$13.5B
\$6B \$8B \$10B \$12B \$14B \$16B
Current Share Price
\$93.40
as of 3/21/2026
Implied Price (Midpoint)
\$112.30
+20.2% upside
52-Week Range
\$68 – \$118
current at 59th percentile
CONFIDENTIAL — For Discussion Purposes Only
12
### Pitch materials for investment bankers
Build pitch books, comps tables, and CIMs directly in PowerPoint and Excel. Claude assembles the analysis and formatting while you control the narrative and valuation calls. Best for investment banking.
Read guide
[Read guide](/resources/use-cases/update-your-financial-model-after-earnings)
Read guide
Prompt
Spread the last four years of financials for Atlas Manufacturing from this borrower package and map them against our covenant terms. Include income statement, balance sheet, key credit ratios, and cash flow with year-over-year changes. Highlight any covenant breaches or near-misses in FY 2026E. Output as an Excel workbook formatted for Internal Credit Committee review.
Attachments
Financials_2023-2026
1.2 mb
pdf
Covenant_Terms
48 lines
xlsx
X
Atlas_CreditSpread_FY2026.xlsx - Excel
Borrower Financial Spread & Covenant Analysis
Atlas Manufacturing Group, LLC — Senior Secured Credit Facility (\$185M)
March 2026
| Line Item | FY 2023A | FY 2024A | FY 2025A | FY 2026E | YoY Δ | Covenant |
|-----------------------|----------|----------|----------|----------|--------|----------|
| Income Statement | | | | | | |
| Net Revenue | \$389.4 | \$412.8 | \$438.5 | \$451.2 | +2.9% | — |
| COGS | (248.6) | (267.4) | (289.2) | (301.8) | +4.4% | — |
| Gross Profit | \$140.8 | \$145.4 | \$149.3 | \$149.4 | +0.1% | — |
| SG&A | (64.2) | (68.5) | (72.1) | (74.6) | +3.5% | — |
| EBITDA | \$94.8 | \$95.1 | \$96.0 | \$96.2 | +0.2% | — |
| D&A | (16.8) | (18.2) | (19.5) | (21.4) | +9.7% | — |
| Interest Expense | (15.2) | (19.8) | (26.7) | (34.4) | +28.8% | — |
| Net Income | \$48.3 | \$42.6 | \$35.1 | \$28.8 | −18.0% | — |
| Balance Sheet | | | | | | |
| Total Debt | \$228.5 | \$266.3 | \$316.8 | \$355.9 | +12.4% | — |
| Cash & Equivalents | \$52.4 | \$42.1 | \$34.6 | \$28.3 | −18.2% | — |
| Net Debt | \$176.1 | \$224.2 | \$282.2 | \$327.6 | +16.1% | — |
| Key Credit Ratios | | | | | | |
| Total Debt / EBITDA | 2.4x | 2.8x | 3.3x | 3.7x | | ≤ 4.00x |
| EBITDA / Interest | 6.2x | 4.8x | 3.6x | 2.8x | | ≥ 3.00x |
| Fixed Charge Coverage | 2.4x | 2.1x | 1.8x | 1.6x | | ≥ 1.25x |
| Current Ratio | 1.8x | 1.6x | 1.4x | 1.3x | | ≥ 1.10x |
| Cash Flow | | | | | | |
| Operating Cash Flow | \$82.6 | \$78.2 | \$74.5 | \$71.8 | −3.6% | — |
| Capital Expenditures | (18.1) | (22.4) | (38.6) | (42.1) | +9.1% | — |
| Free Cash Flow | \$64.5 | \$55.8 | \$35.9 | \$29.7 | −17.3% | — |
| FCF / Total Debt | 28.2% | 21.0% | 11.3% | 8.3% | | ≥ 10.0% |
| Liquidity | | | | | | |
| Revolver Availability | \$50.0 | \$45.0 | \$38.2 | \$32.5 | −14.9% | — |
| Total Liquidity | \$102.4 | \$87.1 | \$72.8 | \$60.8 | −16.5% | — |
| Liquidity / Revenue | 26.3% | 21.1% | 16.6% | 13.5% | | ≥ 12.5% |
| Days Cash on Hand | 49 | 37 | 29 | 23 | | ≥ 20 |
Source: Company filings, management projections. Prepared for Internal Credit Committee review. Atlas Manufacturing Group — Annual Review FY2026
### Credit underwriting for commercial bankers
Draft credit memos and underwriting models directly in Excel. Claude pulls spreads, runs ratios, and structures the writeup while you own the credit decision. Best for commercial banking.
Prompt
Generate the Q1 2026 performance summary for Pinnacle Growth Equity Fund using our holdings data and benchmark returns. Use Brinson-Fachler sector attribution. Include portfolio return vs. benchmark with active return and information ratio, sector contribution to active return in bps, and risk metrics: Sharpe, beta, max drawdown, and active share. Format as a PowerPoint slide for institutional investors.
Attachments
Holdings_Q1_2026
340 lines
csv
Benchmark_Returns
82 lines
xlsx
P
Q1_2026_Performance_Summary.pptx - PowerPoint
Q1 2026 Performance Summary
Pinnacle Growth Equity Fund \| Brinson-Fachler Sector Attribution
Portfolio Return
+6.42%
Benchmark
+4.87%
Active Return
+155 bps
Information Ratio: 0.48
Sector Contribution to Active Return (bps)
−60−300+30+60
Sharpe Ratio
1.82
Beta
1.08
Max Drawdown
−3.2%
Active Share
62.4%
AUM
\$2.84B
For Institutional Investor Use Only
5
### Portfolio reporting for asset managers
Asset management teams can generate IC memos, performance decks, and portfolio reviews from your holdings data. Claude synthesizes positions and attribution while you shape the investment thesis.
Read guide
[Read guide](/resources/use-cases/draft-investment-memos)
Read guide
Prompt
Review reserve adequacy for Sentinel Casualty's general liability book using the attached actuarial workbook and regulatory filing. Show total selected ultimate, carried reserves vs. indicated with redundancy, and average ultimate trend for accident years 2019-2025. Build a link ratio heatmap showing deviation from the 5-year weighted average across all development periods. Flag any accident years with accelerated development, tail divergence, or elevated initial reporting. Format as a PowerPoint slide for the Board Actuarial Committee.
Attachments
Reserve_Analysis_2026
215 lines
xlsx
Regulatory_Filing
38 pages
docx
P
Reserve_Adequacy_Overview.pptx - PowerPoint
Reserve Adequacy Overview
Sentinel Casualty Insurance Co. \| General Liability — Occurrence Basis
Total Selected Ultimate
\$105.3M
7 accident years (2019–2025)
Carried Reserves (IBNR)
\$28.4M
vs. \$25.1M indicated
Reserve Margin
\$3.3M
13.1% redundancy
Avg. Ultimate Trend
+4.8%
annual loss cost growth
Link Ratio Heatmap — Deviation from 5-Year Weighted Average
AY
12→24
24→36
36→48
48→60
60→72
72→84
Tail
2019
−1.2%
−2.8%
+0.4%
−0.6%
+0.2%
−0.3%
+0.1%
2020
+0.8%
−1.1%
+0.3%
+1.2%
−0.5%
2021
+1.5%
−0.4%
+0.8%
+1.8%
2022
−0.2%
+3.4%
+5.2%
2023
+4.1%
+8.6%
2024
+2.3%
2025
A AY 2022 — Accelerated
48-mo. paid 17.6% above expected. Recommend +\$480K IBNR.
B AY 2023 — Tail Divergence
36-mo. running 35.8% above plan. Deficiency risk: \$1.1–1.6M.
C AY 2025 — Elevated Report
Initial paid 13.7% above 5-yr avg. Monitor through 24-mo.
Prepared for Sentinel Casualty Board of Directors — Actuarial Committee
14
### Actuarial review for insurance teams
Review actuarial workbooks and regulatory filings directly in Excel. Claude validates formulas, flags anomalies, and drafts filing narratives while you retain sign-off on reserves.
## More products for financial services
### Agent templates with flexible deployment
With agent templates for pitch books, credit memos, KYC screening, and fund accounting, teams can partner with Claude on real financial work. Available as [plugins](https://support.claude.com/en/articles/13837440-use-plugins-in-claude-cowork) in Claude Cowork and Claude Code and as a cookbook for [Claude Managed Agents](https://platform.claude.com/docs/en/managed-agents/overview).
Learn more
[Learn more](https://anthropic.com/news/finance-agents)
Learn more
### Claude for Microsoft 365
Claude in the surfaces you already use. Build and refine a model in Excel, turn it into a deck in PowerPoint, write up the memo in Word and send a morning brief in Outlook. All with Claude alongside you, from start to finish.
Learn more
[Learn more](/claude-for-microsoft-365)
Learn more
### Claude Cowork
Delegate work so you're reviewing and refining, not building from scratch. Claude Cowork runs tasks in the background to pull data, draft reports, or organize files so you can come back when it's done.
Learn more
[Learn more](/product/cowork)
Learn more
### Claude Code
Speed up software development and update legacy systems with Claude Code, the coding agent that works in your terminal. Build, fix, and ship projects faster without sacrificing transparency or control.
Learn more
[Learn more](/product/claude-code)
Learn more
### Platform
Integrate Claude’s AI directly into bespoke trading platforms, risk systems, KYC and underwriting applications. Deliver production-grade AI agents to transform any workflow.
Learn more
[Learn more](/platform/api)
Learn more
Webinar
**Claude for Financial Services: Putting agents to work
**A practitioner’s session on Claude capabilities specifically for financial services.
Register now
[Register now](https://www.anthropic.com/webinars/claude-for-financial-services-putting-agents-to-work)
Register now
**Livestream**
Tune in for live conversations with Anthropic leadership and industry leaders on our vision for the future of AI in financial services.
Learn more
[Learn more](https://www.anthropic.com/events/the-briefing-financial-services-virtual-event)
Learn more
## Financial services resources
[Contact sales](/contact-sales/financial-services)
[Try Claude](https://claude.ai)
[Claude for financial services plugins](https://github.com/anthropics/financial-services)
Claude for financial services plugins
Claude for financial services plugins
Resource
[Resource](https://github.com/anthropics/financial-services)
Resource
[How finance teams use Claude Cowork](https://www.anthropic.com/webinars/how-finance-teams-use-claude-cowork)
How finance teams use Claude Cowork
How finance teams use Claude Cowork
Webinar
[Webinar](https://www.anthropic.com/webinars/how-finance-teams-use-claude-cowork)
Webinar
[Best Practices: Claude for Excel and Claude for PowerPoint](https://www.anthropic.com/webinars/best-practices-for-claude-in-excel-and-powerpoint)
Best Practices: Claude for Excel and Claude for PowerPoint
Best Practices: Claude for Excel and Claude for PowerPoint
Webinar
[Webinar](https://www.anthropic.com/webinars/best-practices-for-claude-in-excel-and-powerpoint)
Webinar
[Claude for the financial industry: A practical deployment guide](https://www-cdn.anthropic.com/files/4zrzovbb/website/34783bca828d7fa331f515ced26f1c9232151b2c.pdf)
Claude for the financial industry: A practical deployment guide
Claude for the financial industry: A practical deployment guide
Guide
[Guide](https://www-cdn.anthropic.com/files/4zrzovbb/website/34783bca828d7fa331f515ced26f1c9232151b2c.pdf)
Guide
[Homepage](https://claude.com)
Homepage
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
[Anthropic](https://www.anthropic.com/)
Anthropic
© \[year\] Anthropic PBC
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---
## fountain-claude-platform-api-case-study-claude-by-anthropic-99b8bbfdd2.md
# Fountain accelerates frontline workforce hiring and management with Claude
[Try Claude](https://claude.ai)
Industry:
Recruiting
Company size:
Small
Product:
Claude Platform
Location:
North America
50% reduction
in manual screening effort
72 hours
to fully staff new fulfillment center
Fountain, a frontline workforce management platform, has partnered with Anthropic to co-create an industry first, AI-native Frontline Operating System. This collaboration enables customers like Clear, Sweetgreen, and others to leverage Claude’s AI capabilities for automating high-volume hiring, streamlining onboarding, and improving retention for their frontline workers.
With Claude, Fountain:
- 50% reduction in manual screening effort
- 30–40% time savings on onboarding workflows
- 2x increase in candidate conversion rates with AI-enabled workflows
- A decrease in HR support tickets by 30% for customers
- Helped one major logistics customer fully staff a new fulfillment center in under 72 hours
## Solving the frontline workforce challenge
Companies across retail, logistics, hospitality, and healthcare face unprecedented challenges managing their frontline workforce. Traditional hiring processes struggle with the volume and speed required to staff these operations, while manual screening, onboarding and support tasks consume massive HR resources.
"Fountain set out to reduce the manual effort required to screen, onboard, and support high volumes of frontline workers," explained Salim Jernite, Chief Product Officer at Fountain.
“Our goal was to automate tedious tasks that were too nuanced for rules-based systems, such as evaluating candidate fit, interpreting worker feedback, and resolving support issues, all while ensuring compliance and accuracy.”
**Choosing Claude for reliable reasoning and trust**
After evaluating multiple AI models, Fountain selected Claude as the foundation for their AI-native strategy.
”Claude models stood out to us because they align with how we think about trustworthy AI in frontline work," said Will Jensen, Senior Director of Strategic Projects. The team was particularly impressed by Claude's reliable reasoning and low hallucination rates, naturally helpful tone, and high context capacity for processing long hiring histories.
Equally important was the alignment on responsible AI deployment. "Anthropic's values around alignment and trust also closely match our own—to provide human-centered AI, with built-in safeguards to protect against discriminatory hiring practices and ensure compliance," noted Jernite.
"Claude's reasoning ability and accuracy gave us confidence to go deeper into what was possible within the frontline and HR space," explained Jensen. This confidence enabled Fountain to evolve from their proven platform to create a breakthrough full agentic AI architecture.
## How Claude transforms frontline operations
Claude powers Fountain's AI-native platform through three key capabilities: Fountain Copilot, AI Recruiter, and Agent Studio - the ability for customers to build and test their own bespoke agents using any Claude model.
Fountain Copilot serves as the orchestration agent, allowing users to set up, operate, optimize and support their frontline operations through natural language, while Claude coordinates actions across specialized agents. Claude also powers automated candidate screening that reviews applications, matches criteria, and routes candidates based on fit. Finally, Claude models are used within customer-generated agents in the Fountain Agent Studio, allowing users to build additional agentic capabilities with Sonnet and Opus.
"Implementation was fast and straightforward. We were able to get a working prototype live within a couple weeks and quickly expand to production use shortly after," noted Jensen. "Claude's performance reduced the need for complex prompt engineering or fallback systems."
## Delivering measurable impact for customers and workers
The collaboration between Fountain and Anthropic have yielded significant results across Fountain's customer base.
"Claude enables real-time candidate screening, automated document generation, and sentiment analysis at a scale that wasn't possible before," explained Jernite. One logistics customer used Fountain's Claude-powered agents to fully staff a new fulfillment center in under 72 hours, something that previously took over a week. Another customer reported a 30% drop in HR support tickets after enabling the AI assistant.
The benefits extend beyond operational metrics to worker preference.
"Our reports show that frontline applicants and workers prefer our AI tooling as well, with the majority of applicants opting to speak with our AI Recruiter instead of a human," shared Jensen. The AI interface works at any hour with no time constraints, allowing applicants to complete the screening process at their own convenience.
Internally, development velocity has accelerated dramatically.
"Our team, partnering with Anthropic, is using AI tools like Claude Code to develop products and features at a much faster pace, to the extent that we're able to launch production-ready features in days instead of weeks," said Jernite.
## Building the future of autonomous frontline operations
Fountain envisions a future where AI operates autonomously to handle complete workflows. They're developing fully autonomous hiring agents that can reason across systems and take action on behalf of HR teams, along with an Agent Studio that gives customers the ability to create and deploy their own task-specific agents built on top of Claude.
"We see Anthropic as a core partner in co-developing the next generation of our platform," noted Jernite. "As we continue building the agentic Frontline OS and Copilot, Claude models will power the intelligence layer behind every agent, workflow, and insight." Together, they aim to move from assistance to autonomy, proving that agentic AI can unlock real-world outcomes for the world's 2.7 billion frontline workers.
## Related stories
### micro1 transforms technical recruiting with Claude
### Skillfully transforms hiring through AI-powered skill simulations with Claude
### Braintrust revolutionizes talent acquisition and career growth with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## freedom-forever-claude-platform-api-case-study-claude-by-anthropic-56a8bb3da7.md
# Freedom Forever automates permit workflows with Claude
[Try Claude](https://claude.ai)
Industry:
Energy
Company size:
Large
Product:
Claude Platform
Location:
North America
97.5% benchmark success
on complex web automation tests (39 of 40 runs passed), compared to 20–60% for alternative frameworks
~19,000 permit emails processed
in the first month of production
Introducing Claude Code
See Claude Code in action—from concept to commit in one seamless workflow.
[Freedom Forever](https://www.freedomforever.com), the largest residential solar installer in the United States, handles the full lifecycle of solar installation—from sales and permitting through design, installation, and ongoing monitoring. The company has 3,000 employees, primarily field operations and installation crews, and a 50-person software and product team.
## With Claude, Freedom Forever:
- Achieved 97.5% success rate on complex web automation benchmarks where alternative frameworks hit 20–60%
- Processed approximately 19,000 permit emails in the first month of production, handling communications from hundreds of utility companies
- Built a unified agent framework connecting web automation, CRM workflows, file validation, and sales support
- Reduced agent execution costs to \$0.20–\$0.35 per run while completing most tasks in about two minutes
## The problem
Between a signed contract and solar panels on a roof lies a maze of permits. Every residential solar installation requires submissions to utilities and municipalities—each with their own third-party websites, forms, and approval processes. Freedom Forever processes about 5,000 individual permits per month, but each permit involves multiple touchpoints: inspection communications, receipt confirmations, payment requirements, correction requests, and approval notifications.
The permit team was drowning in email. Hundreds of utility companies send updates throughout the day, and processing this volume manually meant backlogs kept growing. Some emails sat unprocessed for weeks while customers waited in limbo, their projects stalled for reasons they couldn't see. "Installation timelines are our most important metric," said Rob Richardson, VP of Product at Freedom Forever. "We've strengthened our systems and processes so every customer gets consistent updates and support throughout the process.”
The company had experimented with AI coding assistants for a small group of developers, part of a broader push to build faster. But for complex agentic workflows—particularly web automation on third-party permit sites with cookie consent pop-ups, iframes, shadow DOM elements, and multi-step forms—they needed something more robust than existing frameworks could provide.
## Choosing Claude through rigorous benchmarking
Freedom Forever built a formal benchmark around their hardest problem: automating permit submissions on third-party websites. The team created eight internal mock sites replicating real-world challenges—simple single-page forms, multi-step workflows, blocking interfaces like cookie consent and pop-ups, iframes, and shadow DOM elements. They ran five iterations per site, comparing what each framework submitted against expected results, with video recordings to verify accuracy.
"Claude Agent SDK scored 97.5% on our benchmark—we couldn't break it," said Richardson. "The single failure was a rate limit issue from running dozens of parallel agents, not the agent itself. Other frameworks hit 20–60% at higher cost."
The team had explored alternatives, including building applications using other agent frameworks. Each showed promise in limited contexts, but Claude Agent SDK handled the full complexity of their web automation workflows. Beyond performance, the SDK proved to be the easiest to build on—the benchmark development and testing took about three weeks, and they launched their first production agents two weeks later.
## Building the permit automation system
Claude Agent SDK now serves as Freedom Forever's primary agent framework for production workflows. The system handles permit submissions on third-party utility and municipality websites, processes incoming permit emails in real time, and connects to their custom CRM for scheduling, task completion, file analysis, and human handoffs. A single, unified framework powers automation across the business.
The SDK was straightforward to build on—the core agent loop required little custom work, and it handled most underlying complexity out of the box. Freedom Forever built an internal "agent console" on top of it to manage workflows, but the foundation came together quickly. And as the SDK improves, they benefit automatically. "When structured outputs rolled out, we stripped out our custom workarounds and just turned it on," said Richardson. "That kind of speed matters." In addition, much of the internal tooling, benchmarks, and reporting infrastructure was itself built using Claude Code, Anthropic's command-line tool for agentic coding.
## The outcome
The permit email processing agent—their highest-volume deployment—processed approximately 19,000 emails in its first month of production, handling communications from hundreds of utility companies. The system categorizes incoming messages (inspection communications, receipt confirmations, payment requirements, correction requests, and more), extracts relevant data, and takes appropriate action. About 71% of emails are fully processed without human intervention; even cases requiring handoff have the human work dramatically reduced. Each execution costs \$0.20–\$0.35 and completes in about two minutes—two to five times less than the human equivalent.
But the real discovery came when they ran a backfill. The agent found emails that had been sitting unprocessed for an average of three weeks—a couple dozen customers stuck in limbo, waiting for action on permits that would let their installations proceed. The agent identified these cases and moved the projects forward, clearing a backlog the team hadn't fully grasped. "Installation timelines are our most important metric, and we've never had faster timelines and better quality," said Richardson. "I know Claude and our agent system is affecting that."
"The main limitation now is just opening up more workflows and going deep enough on each to remove substantial load from teams," said Richardson. "The limitations are on us building more tools and capabilities, not the agent's ability to orchestrate and make decisions."
## Expanding across the organization
Freedom Forever continues expanding Claude's role. They recently deployed a file validation agent that processes about 1,500 documents, validating utility bills against internal system requirements. These documents often include meter numbers and past usage data displayed in charts rather than text—information that traditional OCR struggles with. Many uploads are photos of someone holding the document in their hand; Claude handles these without issue.
"We even found cases where our validation rules had gaps," said Richardson. "By enabling web search, the agent was able to fill in missing information for deeper validation—and then commit those learnings to a knowledge base so future runs are even more capable."
The company also recently migrated their sales support agent from another framework to Claude Agent SDK. This system serves as an inbound support line where over 10,000 sales representatives can call or text to understand their pipeline, navigate company processes, and interact with internal systems.
The internal agent console they built on top of the SDK now serves as a platform for the entire team, with only a handful of developers working directly in the SDK layer while many more use the UI to configure skills and workflows. "We're going headfirst with Claude and the Agent SDK," said Richardson. "We see it as the future for a lot of our work and want to be deeply embedded."
## Related stories
### How can a small team revive solar power and restore trust?
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## futurehouse-claude-platform-api-case-study-claude-by-anthropic-189379663d.md
# FutureHouse powers scientific discovery agents with Claude
[Try Claude](https://claude.ai)
Industry:
Life sciencesBeneficial Deployments
Company size:
Small
Product:
Claude Platform
Location:
North America
4 specialized
AI agents for scientific process stages
Expert-level
analysis with comprehensive citation tracking
[FutureHouse](https://platform.futurehouse.org), a nonprofit advancing research automation, uses Claude to power a sophisticated ecosystem of AI agents that help scientists navigate complex literature, generate hypotheses, and accelerate the pace of biological discovery.
With Claude, FutureHouse:
- Built four specialized AI agents for different stages of the scientific process
- Achieves superior precision in scientific reasoning
- Delivers expert-level analysis of scientific literature with comprehensive citation tracking
## Breaking through the information barrier in modern science
FutureHouse founders Andrew White and Sam Rodriques experienced firsthand the information overload crisis in biological research. As scientists, they faced an impossible choice between spending hours reading papers or focusing on lab work while missing critical advances. The challenge intensified as biological techniques generated exponentially more data while publication volumes skyrocketed.
"There is an enormous corpus of literature to consider when approaching any scientific problem," said Sam Rodriques, Co-Founder and CEO. "Even if we had all the information we needed to understand how biology works, we wouldn't necessarily know it, because no one has enough time to read and synthesize all the scientific literature."
This bottleneck has tangible consequences. Graduate students delay research for months-long literature reviews, drug development teams unknowingly duplicate failed approaches, and cross-disciplinary breakthroughs remain undiscovered. White and Rodriques founded FutureHouse to break through this barrier, recognizing that AI offered the only viable path to scale scientific knowledge processing beyond human limitations.
## Why FutureHouse chose Claude for scientific reasoning
After evaluating numerous AI models through their LAB-Bench benchmark evaluation, FutureHouse selected Claude for three essential capabilities that scientific applications demand. First, Claude excels at recognizing uncertainty—a fundamental requirement in science. "Claude is a very discerning model," explained Skarlinski. "When evidence is insufficient, it will clearly indicate this rather than hallucinating an answer, which is crucial when explaining molecular mechanisms or gene interactions."
Second, Claude's contextual understanding enhances research quality. Skarlinski noted, "Claude 3.7 is an excellent model for orchestration," highlighting how Claude processes complex scientific literature while maintaining awareness of important metadata like citation counts and journal quality. This contextual reasoning "significantly improves our final outputs" compared to other approaches.
Third, Claude provides the transparency scientists require. When researchers use FutureHouse's platform, they can see why specific citations were chosen and the reasoning behind conclusions—creating the provenance that scientific work demands. This combination of precision, contextual understanding, and transparent reasoning made Claude the clear choice for powering their scientific agents.
## Building an aviary of specialized scientific agents
FutureHouse has developed an elegant, open source framework for AI agents called "aviary." The name comes from their bird-themed convention and is inspired by birds, who are the perfect mascot for FutureHouse. They are endowed with natural intelligence, vastly amplified by their ability to use tools (much like FutureHouse’s agents). Each agent addresses different aspects of the scientific workflow, with Claude powering the reasoning capabilities across the ecosystem.
The current platform includes:
**Crow**: This general-purpose agent specializes in literature search and precise answers. It gathers scientific sources, evaluates evidence using Claude, and generates scholarly, cited responses to specific scientific questions. The agent follows a systematic workflow from gathering information to delivering final answers.
**Falcon**: Designed for deeper analysis and report generation, Falcon has access to several specialized scientific databases, like OpenTargets, and can produce comprehensive structured documents. When researchers need a thorough literature review or high-level synthesis, Falcon delivers complete reports with abstracts and conclusions—particularly valuable for researchers exploring new domains.
**Phoenix (experimental)**: This specialized agent handles chemical informatics, building on their previous ChemCrow project. It connects with chemistry databases to support molecular prediction and synthesis, while incorporating safety tools to ensure molecules are both non-toxic and feasible to produce. This capability is essential for drug discovery and materials research.
**Owl**: Focused on novelty assessment, Owl (previously called "Has Anyone") determines if research ideas have precedent. "Owl emphasizes recall, searching across fields to determine if your hypothesis is truly novel," explained Skarlinski. This helps researchers avoid duplicating existing work while identifying innovative approaches.
These agents operate within FutureHouse's open-source "Aviary" environment, which coordinates their interaction with scientific tools and manages complex research workflows.
## How agentic workflows transform scientific discovery
FutureHouse's Claude-powered agents address the inherently non-linear nature of scientific research. Skarlinski explained, "A lot of problems in science, especially around using literature or using a lot of data sources, are nonlinear. You need to think of some subhypothesis in order to answer a question, look at the quality of that information, and then evaluate it and maybe do a different search after. This process is fundamentally agentic. You can't do it with a linear workflow."
FutureHouse has quantified this advantage through controlled studies, demonstrating that removing the agentic step "statistically significantly decreases the output accuracy of questions" compared to their full agent system. For researchers, this translates to concrete benefits: literature reviews completed in days instead of months, and drug discovery teams identifying promising candidates with unprecedented efficiency.
The agents provide transparency by explaining their reasoning, enabling scientists to make informed decisions about experimental paths. Skarlinski noted, "Our agents function like next-generation search tools that not only process vast amounts of data but also explain their reasoning." By automating information-intensive tasks, FutureHouse frees researchers to focus on creative hypothesis generation—ultimately accelerating discovery across biological sciences.
## Building the future of AI-powered scientific discovery
FutureHouse is now expanding beyond literature analysis to create integrated scientific workflows. Skarlinski explained, "Our next frontier is taking experimental data as it's generated and analyzing it as part of the agentic loop." This vision includes automating code generation, data visualization, and hypothesis refinement based on experimental results.
This expansion requires advanced multimodal AI capabilities, especially for understanding scientific graphs and processing experimental data. FutureHouse plans to make their platform publicly accessible with usage limits for individual researchers, democratizing these powerful tools for scientists worldwide.
"Just as AI has transformed software engineering productivity, these agents will fundamentally change how science is conducted," concluded Skarlinski. "By automating routine information processing, we free scientists to focus on the creative aspects of research—designing novel experiments and advancing human knowledge."
## Related stories
### Mercy Corps on what AI makes possible in humanitarian work
### Mercy Corps accelerates global humanitarian response to community feedback with Claude
### How can a medical lab keep patients at the center of its work while the caseload keeps growing?
### The Epilepsy Foundation turns years of expert content into a personal epilepsy assistant with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## gambit-claude-platform-api-case-study-claude-by-anthropic-d18aa44e41.md
# Gambit Robotics builds a real-time sous-chef with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
97%
Successful recipe parses across their pipeline
90% of code
Written with Claude Code
Introducing Claude Code
See Claude Code in action—from concept to commit in one seamless workflow.
[Gambit Robotics](https://www.gambitrobotics.ai/) uses Claude to power an AI kitchen device that guides home cooks through any recipe in real time, combining camera, thermal sensors, and voice to deliver step-by-step coaching while people cook.
## With Claude, Gambit:
- Achieves ~97%+ successful recipe parses across their pipeline
- Writes 90% of their code with Claude Code
- Built a working prototype within days of first integrating Claude
## Better food. Less time. Less stress.
****Cooking is one of those daily tasks that's easy to underestimate. Recipes are hard to follow with busy hands, timing multiple dishes takes real coordination, and the consequences of getting distracted range from a burned dinner to a safety hazard like leaving a burner on.
Nicole Maffeo and Eliot Horowitz founded Gambit Robotics in January of 2025 to tackle exactly this. Maffeo's background spans finance, computer vision, and ML infrastructure at Google AI research, and Horowitz is the founder and former CTO of MongoDB (\$MDB) and the CEO of Viam. The co-founders picked the kitchen because it cuts across demographics, cultures, and income levels — making it both a good environment to train models and a problem worth solving for nearly everyone.
Long term, they believe the future of the home is specialized, distributed robotics—including robotic arms capable of end-to-end cooking. But while full [automation is the long-term vision](https://www.kickstarter.com/projects/gambitcooking/gambit-robotics-never-burn-dinner-again), they believe there is massive near-term opportunity in augmentation and assistance. "People primarily want assistance to make cooking easier, quicker, and to get better results, not end-to-end automation," said Maffeo, Co-founder of Gambit Robotics. For Gambit, success means better food in less time.
## Why Gambit chose Claude
Gambit evaluated several AI models before choosing Claude for their core product. The deciding factors were reasoning, context, and tone.
Cooking involves partial camera views, occlusions, heat changes, and users talking mid-action. Gambit needed a model that could reason through that ambiguity without hallucinating or over-correcting, while holding an entire cooking session in memory. "OCR matters, but reasoning and extended context matter more," said Maffeo. Claude uses optical character recognition to read recipe text from photos, including handwritten ones, but where it really stands apart is in what happens next. "Claude's real differentiator is its ability to reason through complex, real-world situations while maintaining long-running context and natural conversation."
Claude also follows 10–15% more prompt rules than other models Gambit tested, while keeping response times fast. That means fewer hallucinated steps, more consistent output, and less manual correction. And the tone matters too. "Claude's responses feel like a calm, competent sous-chef next to you, not a robotic checklist or a verbose explainer," said Maffeo. "That trust and clarity are critical when AI is guiding people in a physical environment."
## How Claude powers real-time cooking guidance
Gambit’s device combines a custom hardware platform with an RGB camera, a thermal camera, and a microphone and speaker. Claude processes all of this to guide users through any recipe, from any source, in real time.
Here's what happens during a typical session:
- Claude reads a recipe from a photo, a URL, or voice input, pulling out ingredients, steps, times, and temperatures
- It structures the recipe into prep steps, cooking steps, and components like protein, sauce, and sides
- It builds a live timeline of actions (add, stir, flip, reduce heat, remove), sequenced across burners
- It keeps the full session in context throughout: the recipe, prior steps, elapsed time, user preferences, and what just happened
- It watches the stove using vision and thermal data and adjusts guidance based on what's actually happening
- When something is unclear, Claude pauses or asks instead of guessing
- When users swap ingredients, change doneness preferences, or go out of order, Claude updates the plan without restarting
Users can also show prep work to the device, like chopped vegetables, and Claude evaluates whether they're ready for the next step. Over time, the system personalizes recipes to how a user actually cooks.
## How Claude Code accelerates Gambit's development
Claude Code writes 90% of Gambit's codebase. Most of their engineering work involves complex, stateful logic, and keeping context straight across workstreams is the hardest part. The team runs multiple context windows for different tickets in parallel, and Claude keeps each thread coherent while they review output with custom checks and tooling.
"Claude Code has turbo-boosted our development velocity," said Maffeo. Plan mode has been especially useful, helping re-establish context when returning to a task, cutting ramp-up time and making it easier to ship features and fix bugs.
The speed showed up early. Gambit had a working prototype within days of integrating Claude. "Claude made it possible to go from idea to working behavior remarkably fast," said Maffeo. "That speed of iteration let us test, adjust, and validate assumptions almost immediately, which is critical when building an embodied, real-time system."
## What users and testers are seeing
After six months of testing across multiple prototypes, the most consistent user feedback is that Gambit's real-time, recipe-specific guidance is what sets it apart. The system adapts naturally as people cook, whether they move faster, slower, or out of order. When personalization is combined with long-running context, it becomes a powerful engine for adaptive cooking guidance.
## What's ahead for Gambit
Gambit already goes beyond simple step-by-step instructions, handling timing, heat, and coordination in the background while engaging with the user naturally. As Claude’s vision, context windows, and speed continue to improve, that background orchestration becomes increasingly seamless — allowing Gambit to anticipate needs, adapt to changing conditions, and stay in sync with how people actually cook.
"Better vision and longer context windows let us understand not just what's happening in the moment, but how a user cooks over time," said Maffeo. "Improvements in speed make interactions feel more natural, so Gambit can stay in sync with the user while they cook."
Gambit sees hardware as the next big wave for AI. As models get cheaper and more capable, the physical devices around them matter more. "If you're building hardware that operates in the real world, you need a model that can reason under uncertainty, maintain long-running context, and communicate clearly with humans," said Maffeo. "That's where Claude stands out."
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## gamma-claude-platform-api-case-study-claude-by-anthropic-c9a7ef34e9.md
# Gamma helps teams create polished presentations with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
30% improvement
in user satisfaction
20% increase
in free-to-paid conversions
[Gamma](https://gamma.app/), an AI-powered presentation platform, went viral after launching in March 2023—but the team was concerned about quality and costs as they scaled. Claude helped Gamma lower costs while increasing user satisfaction by 30% and free-to-paid conversions by 20%.
## A viral launch powered by generative AI
Gamma was founded in 2020 to help invent a new way for people to share ideas. Initially, co-founders Jon Noronha, Grant Lee, and James Fox focused on improving the traditional presentation format, which hadn’t changed much since PowerPoint introduced the concept of 16x9 slides in the 1980s. Early explorations were fruitful, but didn’t feel compelling enough.
Fast forward to 2022, and the widespread availability of image generators and large language models put the team on a new path. “We were in between product-market fit,” Jon explains. “People liked our product, there was clearly promise, but it was missing that really strong hook that gave people a reason to abandon something they were really familiar with to use it.”
Generative AI became that hook. Gamma launched their app with a [video](https://www.youtube.com/watch?v=r9VOYJM6nZc) that quickly went viral. “Ever since then, it’s been a runaway train,” Jon says. Users immediately loved Gamma for two main use cases: generating presentations from scratch and iterating on slide content and design.
As it became clear that the AI generation flow was a primary driver of Gamma’s business growth, the team started to dig into the data to understand just how well their initial LLM choices were performing.
They discovered that while the LLMs performed well on simple tasks, such as one-line prompts in English, they struggled with more advanced concepts, such as turning a long document into a presentation. User feedback on more advanced use cases was about 50% positive and 50% negative. “That’s an F,” says Jon. “So we were on the lookout for ways to improve.”
## Lower costs, improved performance
The team was initially drawn to Claude for its state of the art performance and cost-effective price point, which had become a concern as the company’s viral growth continued to scale. As a result, they decided to A/B test Claude 3 Haiku against their existing solution.
After a quick implementation, the team had Claude up and running—and the results surprised them. “In our evaluations, Claude 3 Haiku exceeded our previous LLM on output quality, in spite of being significantly more cost-effective for our business.” Jon says. “I had expected similar quality for lower cost, but Claude 3 Haiku exceeded our expectations.”
In fact, positive feedback for advanced use cases increased 30%. Gamma users responded particularly well to Claude’s voice and tone. “People had been frustrated that the tone of all of these presentations sounded the same,” Jon says, adding that the previous LLM’s tone was “very salesy.” Users appreciated Claude’s more neutral tone and ability to adapt to different audiences.
## Taking on the next phase of growth
Based on the positive outcome of the A/B test, Gamma quickly shipped the new version of their app to production—and that initial 30% improvement in user satisfaction has driven a 20% increase in conversions from free to paid.
Today, Claude powers well over half of Gamma’s AI features. Though they consider themselves an AI-native company, they no longer feel sharp pressure to aggressively hire AI specialists onto their 16-person team, which supports 17 million users. “One benefit of models like Claude being so good is that we haven’t had to build a huge team around AI,” Jon says. “We’ve been able to focus more on productizing the experience versus training our own models or even fine-tuning them, because there’s already so much we can do.”
For their next act, Gamma is taking on websites. The team recently released a feature— powered by Claude—that lets people use AI to create and publish a website on their chosen domain. With a strong user base, a compelling vision, and a recent Series A led by Accel Partners, they’re well-positioned to succeed.
> Implementing Claude took a couple days and about ten lines of code. Claude has driven 30% improvement in user satisfaction, which has translated into a 20% improvement in our free-to-pay conversion rate.
— Jon Noronha, Co-Founder at Gamma
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## garvan-institute-claude-case-study-claude-by-anthropic-97cb0a645e.md
# How the Garvan Institute is changing the way it does science with Claude
[Try Claude](https://claude.ai)
Industry:
Beneficial DeploymentsLife sciences
Company size:
Large
Product:
[Claude Code](https://claude.com/product/claude-code)
Location:
Asia Pacific
20+ software engineers and data scientists
actively using agentic development tools
Institute-wide adoption of Claude
across research, operations, and administration
Life sciences
Accelerate science, from discovery through translation. Move faster with Claude while maintaining the accuracy your work demands.
[Read more](/solutions/life-sciences)
The [Garvan Institute of Medical Research](https://www.garvan.org.au/) is one of Australia's leading biomedical research institutes, with deep expertise in genomics, immunology, and cancer. In March 2026, [Anthropic announced](https://www.anthropic.com/news/australia-MOU) a collaboration with Garvan, providing a significant investment in Claude credits to support the institute's genomics research. The institute has adopted Claude across its research and operations, and two of its senior researchers are recipients of support through Anthropic's AI for Science program: Professor Joseph Powell and Professor Daniel MacArthur (jointly based at Garvan and the Murdoch Children’s Research Institute). We spoke with Garvan's Chief Scientific Officer Professor Sarah Kummerfeld, along with Powell and MacArthur, about upcoming research breakthroughs in drug discovery and rare disease diagnosis, and how adopting Claude across the institute is changing the way their teams approach science and discovery.
## Anthropic: Joseph, your team has been building one of the largest genomic data resources in the world. What are you working toward?
**Joseph Powell, Garvan Institute:** Our research seeks to address one key challenge: how the genetic differences between people functionally act to cause disease. Once we learn that, we can use it to guide the right therapies to patients and, most importantly, accelerate how we identify new targets for drug development.
We have enormous data resources where we've generated genomic information on individual cells from tens of thousands of people. It's hundreds of terabytes of data. We're using AI tools to accelerate the way we analyse that data to answer those questions. We have a series of major work coming out soon, and we're at an extremely exciting inflection point. Through the analysis of our data, we've been able to identify the specific mechanisms by which about 40% of all disease genetic factors act at the level of individual cells. In some cases, there are already treatments on the market that address some of those mechanisms. But in the vast majority of cases, there are not.
### That's a striking claim. 40% of disease risk traced to specific cellular mechanisms. What role is Claude playing there, and what does it mean for patients?
**Powell:** We're using Claude to accelerate the way we can take those findings, identify and inform experiments, and design new treatments for the targets we've discovered. It's a dramatic speed-up in the time it takes to go from a genetic signal to a potential therapy. The acceleration we've had through the intersection of genomics and AI has gotten us to the point where I am confident that by the time that my son—who's currently in primary school—is an adult, we will have effective treatments available for the vast majority of diseases that affect society today.
## Daniel, your work focuses on getting a diagnosis to families affected by rare genetic conditions. How big is the gap right now?
**Daniel MacArthur, Centre for Population Genomics (a joint initiative of the Garvan Institute and Murdoch Children’s Research Institute):** Our Centre focuses on ways genomics can improve medicine, and in particular how these technologies can be implemented in a way that's equitable across different populations. Our projects include a partnership with underrepresented communities across Australia to make sure they are represented in future genomic resources. We also have a really strong focus on improving the diagnosis of genetic disorders, which are individually rare but collectively affect about one in every 17 Australians.
These are diseases like muscular dystrophy or cystic fibrosis, each of them caused by just one or two genetic changes somewhere in an individual’s genome. The process of genetic diagnosis means finding those one or two changes out of the millions of DNA differences present in every person’s genome. Genomic technologies make that process possible, but right now, we are unable to give over half of all the families affected a clear answer as to exactly what DNA change is responsible. That has real implications: it means they are less likely to get access to family counselling, less likely to understand what the future looks like for their child, and much less likely to get access to targeted therapies or clinical trials.
## What's standing between those families and a diagnosis?
**MacArthur:** It's not sequencing. It's now straightforward to generate a sequence of all 3 billion letters of DNA. The bottleneck is that the standard process for interpretation of genetic variants identified in DNA sequence information is dependent on many, many hours of expert human labor by a small group of experts: pulling together information from databases, clinical registries, published literature, and computational predictions. That can take many hours per variant, and multiple variants may be identified for each patient. It just doesn't scale.
And there's a compounding problem. If your first test doesn't give an answer, you may wait many years before it's analyzed again, even though new disease genes are being published every week. The answer to your child's condition might have been sitting there for the last couple of years, but no one has had the time or capacity to look. We're building AI tools to change that, so we can give answers back to families not in years or even weeks, but ideally in hours.
## How are you using Claude specifically to tackle that?
**MacArthur:** Our team is working with Anthropic, as well as researchers and engineers at the Murdoch Children’s Research Institute and the Victorian Clinical Genetics Service, on building a multi-agent approach to make this process much faster. These are teams of AI agents, each specialised to search for a particular type of information relevant to a patient's diagnosis. One might check population databases. Another searches clinical registries. Another monitors the published literature. What we’re building towards is teams of agents that work together 24 hours a day, constantly looking at the latest information and updating human curators any time there's something that could be relevant to a particular child's case.
The power of tools like Claude is that they allow us to take all of these different complex types of information and weave them together in ways that human experts can instantly make use of, and that provide easy approaches to validate against the evidence. The goal here isn’t to replace expert human labor, but to allow clinical curators to make more sense of more data at the right time. We think the model of AI tools empowering human expertise is the only way to make this work at scale.
## Sarah, you're overseeing the institute's broader adoption of Claude. How is it changing the way research gets done?
**Sarah Kummerfeld, Garvan Institute:** Claude is really changing the way we think about the work that we do. From the most basic tasks to large-scale analyses that people previously wouldn't have been able to do themselves. And people who are already technical are so much more efficient, so they can think about problems at a higher level rather than getting down in the weeds.
## You've described your PhD students as "becoming managers." What do you mean by that?
**Kummerfeld:** Typically as a PhD student, you're doing all the work, and writing every line of code, and it takes a long time. With Claude, even our PhD students are essentially becoming managers. They're managing a team of agents, which means they can be a lot more productive, think at a high level, get into the science, and come up with hypotheses in a way that wasn't possible before.
It's also making research more interdisciplinary. Research becomes very focused very quickly. People are working on a single gene, trying to come up with a way of solving a disease that impacts that one gene. Claude lets us have an individual person interrogate knowledge from all of those different fields, including areas well out of the researcher’s wheelhouse. That wasn't possible when you had to find a human expert in every single one of those fields.
### What does this mean for drug development specifically?
**Kummerfeld:** If you look at developing a new drug, the percentage of drugs that get through every stage and actually get to market is tiny compared to the number in research and development. AI means you can do a better job of screening your hypotheses and make sure you're not spending a huge amount of time in the lab on things that are not going anywhere. You can integrate so many different data sets and bring them together in ways that weren’t possible before.
We've been using machine learning in this space for a long time. Twenty-five years ago, when I was working on protein structure prediction, we were using machine learning and thought we were doing pretty well, getting about 60% accuracy. Now, the models are so much better that you can actually predict protein structure using machine learning without doing an experiment. When you're thinking about designing a new drug, that whole concept of rational drug design is actually becoming a reality. Large language models can help you identify a target and then protein structure prediction tools allow researchers to design new antibodies. Where we had to do a lot of trial and error in the lab, we can now come in with a very specific hypothesis.
Advancing Claude in healthcare and the life sciences
Transform healthcare from insight to action
[Read more](https://www.anthropic.com/news/healthcare-life-sciences)
### There's a common concern that AI will shrink research teams. What are you seeing?
**Kummerfeld:** I don't see our workforce shrinking. I think the nature of the work will change. Menial tasks can be handled by the agents, and those roles will shift into much more high-level thinking roles.
### Daniel, what would you tell other research organizations thinking about adopting AI?
**MacArthur:** Claude Code has completely transformed the way that I work as a scientist and as a leader. I’ve used it to build new data visualization portals, to make sense of complex data sets, and to help me learn new topics and bring together information to make better decisions.
I've spoken to a lot of other research leaders who say they're just too busy to try it out, but they’re excited about their postdocs using it. My response is that research leaders are actually the people who can benefit the *most* from these technologies: they already have deep experience in carefully designing research questions and interpreting complex results, exactly what’s needed when working with agent-based approaches. It’s hard to imagine a higher-leverage activity right now for a lab head than spending a few afternoons getting up to speed with a system like Claude Code.
For organizations, it’s easy to express excitement and support for AI, but the big test is how fast you can go from having a postdoc who is excited about using agentic coding tools, to the point where they're actually using those tools to write real software. It’s not just about setting up an enterprise agreement. It's about figuring out how you can support your teams, build the right guardrails, and get everything cleared out of their way so they can start executing as quickly as possible.
It’s worth noting that this isn’t easy, and may require substantial changes to things like IT governance. But I expect we will see a massive difference over the next couple of years in the output from research organizations that successfully empower their teams to use agentic tools.
## Related stories
### Mercy Corps on what AI makes possible in humanitarian work
### Mercy Corps accelerates global humanitarian response to community feedback with Claude
### How can a medical lab keep patients at the center of its work while the caseload keeps growing?
### The Epilepsy Foundation turns years of expert content into a personal epilepsy assistant with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## gc-ai-claude-platform-api-case-study-claude-by-anthropic-b51ad72174.md
# GC AI powers legal workflows for 1,500 companies, saving lawyers 14 hours a week with Claude
[Try Claude](https://claude.ai)
Industry:
Legal
Company size:
Startup
Product:
Claude Platform
Location:
North America
14 hours saved per week
average time saved by in-house legal teams using GC AI
Saved 14% on outside counsel spend,
as reported by surveyed GC AI customers
[GC AI](https://gc.ai/) is a platform for in-house legal teams to research legal questions, review contracts, draft documents, and communicate legal guidance. More than 1,500 companies, including Zscaler, News Corp, and Nextdoor, use the platform. Claude powers the intelligence layer within GC AI's proprietary legal workflows, which combine company-specific playbooks, institutional knowledge, and a privileged setup made for in-house teams to generate research, contract summaries, issue spotting, and draft responses to internal legal questions.
## **With Claude, GC AI achieved:**
- 14 hours saved per week on average for in-house legal teams using the platform, based on a survey of more than 100 active customers
- 14% reduction in outside counsel spend, allowing teams to handle more work internally
- 21% greater accuracy on legal tasks compared to general-purpose AI tools without legal workflow structuring
- Verifiable outputs through GC AI's Exact Quote feature, which links conclusions directly to source text
- Complete legal citations surfaced through integrated search, connecting analysis to specific statutes, regulations, and official guidance
- Integration into existing workflows through a Microsoft Word plug-in and Google Drive connectivity
- Team-level consistency through shared playbooks and company-specific review criteria, allowing legal teams to use GC AI and supply standards across the legal function and for the company.
## The challenge
## **A single lawyer supports dozens of stakeholders**
In-house legal teams at midsize and enterprise companies face a persistent ratio problem: each lawyer supports dozens of internal stakeholders, all with competing deadlines. Even straightforward questions can require hours of research and writing before the lawyer can provide a useful answer. At one company, a solo lawyer using GC AI supports \$8 billion in revenue.
"Before using stronger models, legal AI systems required more manual prompting and editing to reach a useful result," said Cecilia Ziniti, Co-founder and CEO of GC AI. "The technology could assist with drafting and research, but the outputs often required significant cleanup before they were ready for use, which limited the practical value for busy legal teams. Combine that with the need to verify sources, and early AI models alone didn’t save time or yield more excellent results for most lawyers."
GC AI set out to close that gap. "We needed models that could produce clear, structured outputs that lawyers could review quickly and integrate into their work," Ziniti explained. "This is built on trust: trust in the process and sources, as well as minimizing hallucination and enabling the lawyers and legal teams in the loop to verify and work at their speed."
## **Selecting Claude for structured reasoning**
GC AI continuously evaluates leading models using real legal tasks across research questions, contract analysis, legal drafting, and structured explanations. The key measure is whether a lawyer can take the output and turn it into a final answer quickly.
GC AI uses Claude Sonnet as its primary model for customer-facing workflows for the model’s balance of performance, speed, and cost. Opus is reserved for more complex reasoning tasks. "Sonnet performed well on tasks that required clear explanations and structured reasoning," Ziniti said. "That made it easier to integrate into legal workflows where lawyers review the output, verify the reasoning, and refine the answer before sharing or actioning it internally."
The team found the strongest differences in contract analysis and clause interpretation. “When identifying nuanced obligations or deviations from standard terms in agreements, Claude was more consistent in both spotting the issue and clearly explaining the reasoning behind it,” Ziniti said.
Introducing Claude Opus 4.6
We’re upgrading our smartest model. The new Claude Opus 4.6 improves on its predecessor’s coding skills. It plans more carefully, sustains agentic tasks for longer, and features a 1M token context window.
## The solution
## **Governed workflows for everyday legal work**
Inside GC AI, lawyers typically start by bringing a legal question, issue, contract, or document into the platform. The system routes that input through governed workflows designed for common in-house tasks: contract review, regulatory research, and internal legal guidance. While GC AI is built on an agentic infrastructure, the focus is on reliable, operational outputs rather than open-ended model interaction. Unlike general-purpose AI tools, GC AI is able to embed a legal department's institutional knowledge on approved positions, risk tolerance, preferred language, and internal guidance into the workflows the team already uses, ensuring consistency whether they're reviewing a contract, drafting a document, or researching an issue.
A central design principle is verifiability. GC AI's Exact Quote feature links conclusions directly to source text, so lawyers can trace each finding to its origin. The platform also uses integrated search to surface primary and secondary legal materials, producing complete citations to specific statutes, regulations, and official guidance.
"Many of our users are working with dozens of documents exceeding 100,000 tokens each, quickly filling available context windows," Ziniti noted. To handle this, GC AI built a proprietary knowledge management system that ensures relevant documents, sections, and metadata are available at the right time for each attorney's workflow. This system manages the complexity of large document sets across matters, something that requires purpose-built infrastructure beyond what a general-purpose model can provide out of the box.
In addition to the web interface, GC AI integrates into the tools lawyers already use, including Microsoft Word and Google Drive, with a consistent intelligence layer that carries the lawyer's company-specific context, playbooks, and prior work product across every surface. Lawyers review the output, check the reasoning, and confirm the relevant legal sources before finalizing advice or documents.
"We can deliver legal AI workflows that lawyers actually use every day," Ziniti said. "Instead of treating AI as a separate experiment, GC AI embeds it directly into the way in-house lawyers complete their work."
## The outcome
## **Faster and higher-quality, cited first drafts, more time for judgment**
In a structured survey of more than 100 active GC AI customers, in-house legal teams reported saving an average of 14 hours per week. That recovered time shifts how lawyers spend their days. "GC AI becomes their first stop when they encounter a legal question," Ziniti said. "Instead of starting with open-ended research or outside counsel calls, they begin by analyzing the issue in GC AI and then decide how to proceed."
The same survey found a 14% reduction in outside counsel spend and 21% greater accuracy compared to general-purpose AI tools without legal workflow structuring.
"Our legal team supports a global sales organization closing deals across dozens of countries,” Ziniti said. “Before GC AI, a single NDA redline cycle could take half a day between research, markup, and internal review. Now our attorneys run contracts through GC AI with our playbook loaded, and they get a first-pass redline with cited reasoning in minutes. We've been able to absorb a 30% increase in deal volume without adding costs to the legal team."
## **Looking ahead**
GC AI's architecture now supports coordinated multi-agent workflows, with specialized agents handling different parts of a task: retrieving relevant statutes, analyzing documents, and synthesizing findings into structured legal analysis.
As Claude's capabilities continue to advance, GC AI continues to leverage those improvements into deeper, more specialized legal workflows that a horizontal AI tool cannot replicate. “Our roadmap is focused on making the legal function operate at the speed of the business and driving more agency across all a company’s legal needs,” Ziniti said. “That means proactive legal operations and more strategic impact.”
## Related stories
### Spellbook runs 530,000 contract reviews a month with Claude
### EvenUp cuts document drafting from 15 hours to 15 minutes with Claude
### Eve Legal helps plaintiff law firms settle cases 60 days faster with Claude
### Thomson Reuters CTO on piloting Cowork with Claude Enterprise
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## genspark-ai-claude-platform-api-case-study-claude-by-anthropic-cb155ed91e.md
# Genspark's Super Agent orchestrates 150+ tools with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Startup
Product:
Claude Platform
Location:
North America
\$250M ARR since pivoting to the Super Agent
in early 2025
150+ specialized tools orchestrated by Claude
inside a single agent
[Genspark](https://genspark.ai/) is an AI workspace where one prompt produces slides, spreadsheets, documents, design posters, or websites for non-technical knowledge workers. The product is built around the Super Agent, which uses Claude to coordinate more than 150 specialized tools in response to whatever a user asks for.
## With Claude, Genspark:
- Surpassed \$250 million in annual recurring revenue after pivoting to the Super Agent in early 2025
- Orchestrates 150+ specialized tools end-to-end with its Super Agent architecture
- Creates AI slides, spreadsheets, and documents driven by Claude's coding capability
- Built an internal engineering culture where 100% of code is written by AI
## The challenge
## A rigid workflow that couldn't keep up
Genspark launched out of stealth in mid-2024 as an AI search product, then steadily expanded into parallel search and asynchronous deep research that would email users a finished analysis after running for several minutes. "If we positioned the product as search, it needed to return to the user in one second, or at most ten seconds," said Kay Zhu, co-founder and CTO at Genspark. "Ten seconds was too short for the system to do meaningful work."
The team kept expanding the runtime—first to parallel queries, then to background workflows running for minutes—because each expansion let them tackle harder problems for users. One paying user spent a week using a traditional search engine to compare credit cards against a long list of personal criteria, then handed the same question to Genspark's asynchronous agent and got the same conclusion in 15 minutes.
The architecture underneath, though, was a directed graph of predefined workflow nodes, and that design was hitting a ceiling. "It was too rigid," Zhu said. "It often broke on edge cases." Search satisfaction in the field has hovered around 80% for a decade, Zhu noted, no matter how much better the underlying systems get. Users adapt: as the system handles more, they ask harder questions, and the satisfaction rate stays flat. Genspark was seeing the same pattern. Simple questions ran through too many steps. Hard questions hit walls the workflow didn't know how to route around. The system that had taken Genspark to millions of users could no longer go where users wanted to go.
The most driven founders are problem solvers. Watch their unscripted conversations with the Anthropic engineers.
[Read more](https://claude.com/problem-solvers)
## The solution
## An agent loop that finally worked
The ReAct-style agentic loop, in which a model decides each next step rather than following a fixed plan, had been on Zhu’s mind since 2023. "The idea is very elegant," he said. "If the model is powerful enough, it should be able to know when to call which tool and when to stop." He tested it against every new frontier model that came out, roughly every three months, for two years. The failures were always the same: the model fell into infinite loops, hit the same error repeatedly, or failed to recognize when it had enough information to stop.
In early 2025, Zhu tried again at home with Claude Sonnet 3.7, the newest Claude release at the time. "To my surprise, it was very intelligent," he explained. "It knew when to stop and knew which tools to call. When some tool returned an error message, it would know what alternative way to try." That recovery behavior was the missing piece. Genspark rewrote the product around it.
The Super Agent that launched in early 2025 is model-agnostic by design, with different frontier models doing different jobs. Claude plays two central roles. The first is the agent loop itself: at each step in a task, Claude decides which of the 150+ available tools to call next, when to gather more information, when to backtrack, and when to summarize and return a result. For the most demanding planning problems, Genspark fans out to multiple frontier models in parallel and uses Claude to reconcile their plans into one. The second is code generation. Behind the AI slides, AI spreadsheets, and AI documents that users see, Claude generates the code that produces the final artifact.
"The old way was running on a rail," Zhu said of the original architecture. "If everything goes well, the train runs very fast. But if something goes wrong, the train gets flipped. The Super Agent is more like an experienced driver with a GPS and a goal in mind. It will try every means to reach the goal, and if there are detours or obstacles in between, it will find a way out."
That shift, from architecture as constraint to architecture as adaptive runtime, changes what a startup competes on. "Nobody really has a moat anymore," Zhu said. "The moat is execution speed." That belief shapes how Genspark operates internally. Roughly 50 engineers produce all of the company's code through AI tools. Some have built what they call a "lights-out factory" where issue creation, pull request composition, code review, merging, and testing all run automatically. Zhu personally writes code in Claude Code's plan mode. "It's like talking to a very experienced software engineer, someone who's super intelligent and knows the codebase really well," he said.
Claude Code
Anthropic's agentic coding tool. Claude Code understands your codebase, edits files, runs commands, and helps you ship faster.
[Read more](/product/claude-code)
## The outcome
## From experiment to \$250M ARR
The Super Agent helped Genspark grow past \$200 million in annualized revenue. The feedback the team hears most from users, Zhu said, is from people who realize "other AI tools just chat. Genspark actually works." With a team of roughly 50 engineers, the company has been shipping major versions of AI Workspace on a roughly two-month cadence, with 3.0 the most recent release, and 4.0 already in planning.
Users invented use cases nobody at Genspark had planned for. A New York real estate analyst now produces investor pitch decks in hours, work that used to take weeks of multi-person research, and has started winning contracts away from larger firms. Japanese seafood industry CEOs use Genspark to analyze domestic demand and source new leads. One customer used Genspark’s agent to resign from a job he found too uncomfortable to quit in person.
Where Zhu sees model capability heading in 2026 shapes what Genspark is building next: effectively infinite context built through scaffolding around the model, long-horizon agents that can run for hours or days on complex tasks instead of minutes, and orchestration models capable of driving fleets of sub-agents in parallel. Genspark has internal experiments running against each.
Genspark spells out the bet on a billboard along US-101 in San Francisco: a three-day work week. The premise is that AI can handle the busywork, aligning slide bullets, building pivot tables, formatting documents, so people can spend their time on what they actually value. "We want to bring the Claude Code experience that software engineers have to all white-collar workers," Zhu said. "The model is so intelligent right now. The distribution is super uneven. Some people experience the latest capability and their lives change totally. A lot of people haven't experienced that yet. We want to accelerate that transition."
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## gitlab-claude-enterprise-case-study-claude-by-anthropic-3ce8fdd436.md
# GitLab enhances productivity with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Medium
Product:
Claude Enterprise
Location:
North America
98% satisfaction
reported by GitLab team members
25-50%
productivity gains across teams
GitLab, the leading AI-powered DevSecOps platform, adopted Claude for Work to empower teams to create high-quality content, gain deeper data insights, and accelerate sales cycles. During an initial pilot program, GitLab saw the following gains from incorporating Claude into key workflows:
- 98% of GitLab team members surveyed reported to be satisfied or very satisfied with Claude for Work
- 25 - 50% productivity gains
- Significant time savings in RFP responses and content generation
- Improved collaboration and skill sharing across teams
- Team members more likely to take on complex tasks
## Empowering teams across GitLab with Claude
GitLab saw AI's potential to transform their product offerings through the Anthropic API and their internal processes with the [Claude Enterprise plan](https://claude.com/solutions/enterprise).
Taylor McCaslin, product lead for AI and ML tech at GitLab, is focused on putting Claude’s AI capabilities in the hands of team members across departments, from engineering to marketing. McCaslin says, "By using the same Claude models internally that we offer externally, we're better able to build AI solutions that we trust and use ourselves."
## Choosing Claude
GitLab was impressed with Anthropic's commitment to data privacy and user protections. "We agree with Anthropic's focus on alignment, trust, and safety, that all felt incredibly aligned and ready for business at scale," McCaslin notes.
After initially integrating Anthropic’s API to add Claude to their product offerings, GitLab has steadily expanded its use across the organization. The company recently adopted Claude for Work, bringing AI capabilities to internal GitLab team members across a variety of functions. Features like SSO have greatly streamlined this process, making it easier and more secure to control team member access to Claude.
Claude's advanced capabilities and human-like communication style influenced GitLab's decision to adopt the Claude Enterprise plan. One of Claude's key advantages is its expanded context window, which allows for more natural and context-aware conversations. McCaslin emphasizes, "It's a game-changer. I can have extensive conversations with Claude while maintaining the context of the entire chat."
## Streamlining workflows across departments
GitLab has discovered a wide range of use cases for Claude across various departments, improving how teams collaborate and work. As McCaslin shares, "We are finding endless use cases for Claude. It's the most utilized new tool I've seen."
GitLab team members reported using Claude for Work across use cases, including writing, brainstorming, research, and problem-solving. These use cases support more specific workflows across the organization:
- RFP responses: The sales team uses Claude to quickly generate and customize responses to RFPs, saving significant time on repetitive tasks.
- Content creation and translation: The marketing team uses Claude to efficiently generate and translate content.
- Documentation: Technical writers use Claude to rewrite and improve documentation, ensuring consistency and clarity.
- Internal tool development: Developers use Claude to create small applications and scripts, introducing new automation into their workflows.
- Data analysis: Teams upload reports and use Claude to ask questions and gain insights from the data.
## Transformative impact and productivity gains
The impact of Claude extends beyond individual use cases, fostering a culture of efficiency, empowerment, and collaboration. "Everyone who uses Claude emphasizes that it enhances productivity. That is consistent across the board,” says McCaslin.
GitLab team members are taking on more complex tasks, using Claude as an extension of their capabilities. McCaslin shares, “Claude offers our team members a tool that feels like an extension of their work and expertise, allowing us to take on more complex tasks and deliver greater impact while ensuring GitLab’s IP remains private and protected.”
The ability to share specific chats has also fostered a collaborative environment around AI use. Team members are eager to share their experiences and discoveries with their colleagues. "There's a variety of people sharing links to chats to show the cool things they've done. The collaboration aspect is very powerful," McCaslin notes.
## Looking to the future
GitLab is eager to integrate Claude into its products further through the Anthropic API and drive adoption of Claude AI internally, spurring innovation and adding value for customers and team members alike.
McCaslin sees the partnership between GitLab and Anthropic as a key driver of this future. "We continue to be impressed," McCaslin says. "Anthropic is a leader on the model development front, particularly at the speed of releasing models. The models are constantly getting better, faster, and cheaper. Together, we're not just adapting to the AI revolution - we're leading it."
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## gitlab-claude-platform-api-case-study-claude-by-anthropic-869156697e.md
# GitLab powers stable, secure software development with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Medium
Product:
Claude Platform
Location:
North America
25-50% productivity gains
across internal workflows with Claude
Weeks not years
AI feature development time with Claude
GitLab, the most comprehensive DevSecOps platform, uses Claude to drive AI-powered features across their software development, deployment and security platform. By leveraging Claude's capabilities, GitLab delivers innovative AI solutions while maintaining the stability and security its customers demand.
- Several Claude-powered features are implemented across the platform
- Claude delivers high-context and accurate code generation for users
- Accelerates development and deployment of AI features for Gitlab engineering team
## Balancing innovation with stability in DevSecOps
GitLab’s AI-powered platform helps companies manage the entire software development lifecycle. With security and speed at the core of its value proposition, GitLab needed to balance AI’s potential with taking a privacy-first approach to embedding AI capabilities across the platform.
"Our mission is to enable everyone to contribute to and co-create the software that powers our world," says Taylor McCaslin, Group Manager of Product, Data Science AI/ML at GitLab. "That's a major undertaking we do not take lightly."
As GitLab embarked on its journey to integrate generative AI, they recognized that collaborating with an AI company like Anthropic would be the most effective way to integrate the technology into their platform. GitLab Principal Engineer Jessie Young explains, "As a company that specializes in APIs, we wanted to weave AI into various features without reinventing the wheel. Partnering with Anthropic allowed us to access powerful and easy-to-use AI models that could seamlessly integrate with our platform."
## Implementing a multi-model approach with Claude
GitLab hit its stride when more advanced AI models became available. The company has now integrated AI throughout its platform, with features for generative coding, interactive chat, planning summarization, and explaining and remediating software vulnerabilities. To ensure they're using the best tool for each task, GitLab created a model evaluation team that assesses new vendors and new versions of models.
"Since we have AI-powered use cases across the entire software development lifecycle, we need an approach that enables us to choose the right model for the right use case. This makes the Claude model family approach a huge advantage for our team,” says McCaslin.
GitLab chose Claude 3 models to power their AI-powered Duo features due to their performance and the fully featured developer experience. "We see consistently strong performance from Claude 3 models for thoughtful, holistic, and contextualized code generation and other software development-related tasks," McCaslin notes, attributing this partly to Claude's long context window.
## Empowering engineers and ensuring reliability
For GitLab, Anthropic's intuitive developer tools have enabled their team to build AI-powered features efficiently.
"The tooling Anthropic provides us is approachable for somebody who doesn't have a machine learning background," says Young. "Anthropic's developer tools and docs enable us to have dozens of people with more traditional software engineering backgrounds work on AI features."
GitLab values Anthropic's commitment to transparency and privacy in this rapidly evolving AI landscape. This reliability is essential for GitLab as they work to deliver stable, secure software development tools to their customers.
> Anthropic shares our values of privacy and transparency and are straightforward to work with. That's especially important for us as an enterprise organization that builds reliable software.
— Taylor McCaslin, Group Manager of Product, Data Science AI/ML
## Looking to an AI-powered future
As GitLab continues to evolve their platform, the company is well-positioned to lead in AI-driven DevSecOps. With Claude powering key Duo features and providing a foundation for exploring future use cases, GitLab can focus on delivering cutting-edge capabilities that their customers can rely on.
By choosing Claude, GitLab has found foundation models that provide powerful AI capabilities and align with their commitment to stability and security in software development.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## government-claude-by-anthropic-260d7ce4be.md
# Responsible AI that meets government needs
Claude helps government organizations deploy advanced AI capabilities with rigorous security controls. Available with authorizations up to FedRAMP High and IL5 using established procurement channels.
[Contact sales](https://claude.com/contact-sales)
## Flexible deployment for any environment
### API
Available on AWS and Google Cloud with authorizations up to FedRAMP High and IL5
### Claude Gov models
Claude Gov models for classified environments on AWS—built for national security missions
### Claude for Government
Claude for Government application at FedRAMP High
European Parliament
[Play video](#)
Play video
The European Parliament expands access to their archives with Claude.
Read story
[Read story](https://www.claude.com/customers/european-parliament)
Read story
Claude for Government Desktop, now in public beta
Claude Code and Claude Cowork are live in public beta, built on the same application our commercial customers use and delivered through a FedRAMP High authorized environment.
Learn more
[Learn more](https://claude.com/blog/bringing-claude-code-and-claude-cowork-to-government)
Learn more
## Why agencies choose Claude
### Intelligence for government complexity
Enhanced performance made for government workflows, from document analysis to regulatory review. Claude understands context and automates complex tasks while maintaining accuracy.
### Built with safety at its core
Designed with safety and responsible deployment as foundational principles. Claude provides transparent reasoning you can trust in high-stakes decisions.
### Secure, compliant, and accessible
Deploy using the security frameworks your agency already relies on. Access advanced AI capabilities without compromising compliance requirements.
## Availability
FedRAMP High
IL5
Classified
Claude in Amazon Bedrock
FedRAMP High
IL5
Classified
Claude on Google Cloud’s Vertex AI
FedRAMP High
IL5
Classified
Gov models in Amazon Bedrock
FedRAMP High
IL5
Classified
Claude for Government
FedRAMP High
IL5
Classified
In pilot
## Government resources
[Contact sales](/contact-sales)
[See the latest updates to Claude for Government](https://docs.claude.com/en/docs/intro)
See the latest updates to Claude for Government
See the latest updates to Claude for Government
Update
[Update](https://docs.claude.com/en/docs/intro)
Update
[Get started with Claude for Government](https://www.anthropic.com/learn/claude-for-work)
Get started with Claude for Government
Get started with Claude for Government
User guide
[User guide](https://www.anthropic.com/learn/claude-for-work)
User guide
[Learn more about Anthropic’s security and compliance](https://trust.anthropic.com/)
Learn more about Anthropic’s security and compliance
Learn more about Anthropic’s security and compliance
Trust center
[Trust center](https://trust.anthropic.com/)
Trust center
## Explore the
latest releases
[Lawrence Livermore National Laboratory expands Claude for Enterprise use to empower scientists and researchers](https://www.anthropic.com/news/lawrence-livermore-national-laboratory-expands-claude-for-enterprise-to-empower-scientists-and)
Lawrence Livermore National Laboratory expands Claude for Enterprise use to empower scientists and researchers
Lawrence Livermore National Laboratory expands Claude for Enterprise use to empower scientists and researchers
Announcements
[Announcements](https://www.anthropic.com/news/lawrence-livermore-national-laboratory-expands-claude-for-enterprise-to-empower-scientists-and)
Announcements
[Claude Gov models for U.S. national
security customers](https://www.anthropic.com/news/claude-gov-models-for-u-s-national-security-customers)
Claude Gov models for U.S. national
security customers
Claude Gov models for U.S. national
security customers
Announcements
[Announcements](https://www.anthropic.com/news/claude-gov-models-for-u-s-national-security-customers)
Announcements
[Claude in Amazon Bedrock: Approved for use in FedRAMP High and DoD IL4/5 workloads](https://www.anthropic.com/news/claude-in-amazon-bedrock-fedramp-high)
Claude in Amazon Bedrock: Approved for use in FedRAMP High and DoD IL4/5 workloads
Claude in Amazon Bedrock: Approved for use in FedRAMP High and DoD IL4/5 workloads
Announcements
[Announcements](https://www.anthropic.com/news/claude-in-amazon-bedrock-fedramp-high)
Announcements
[Homepage](https://claude.com)
Homepage
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
[Anthropic](https://www.anthropic.com/)
Anthropic
© \[year\] Anthropic PBC
Products
- Claude
[Claude](/product/overview)
Claude
- Claude Code
[Claude Code](/product/claude-code)
Claude Code
- Claude Cowork
[Claude Cowork](/product/cowork)
Claude Cowork
- @Claude
[@Claude](/product/tag)
@Claude
- Claude Science
[Claude Science](/product/claude-science)
Claude Science
- Claude Security
[Claude Security](/product/claude-security)
Claude Security
- Download app
[Download app](/download)
Download app
- Pricing
[Pricing](/pricing)
Pricing
- Log in
[Log in](https://claude.ai/login)
Capabilities
- Artifacts
[Artifacts](/features/artifacts)
Artifacts
- Design
[Design](/product/design)
Design
- Connectors
[Connectors](/marketplace/connectors-plugins)
Connectors
- Plugins
[Plugins](/marketplace/plugins)
Plugins
- Skills
[Skills](/skills)
Skills
Extensions
- Claude in Chrome
[Claude in Chrome](/claude-in-chrome)
Claude in Chrome
- Claude for Microsoft 365
[Claude for Microsoft 365](/claude-for-microsoft-365)
Claude for Microsoft 365
Models
- Mythos
[Mythos](https://www.anthropic.com/claude/mythos)
Mythos
- Fable
[Fable](https://www.anthropic.com/claude/fable)
Fable
- Opus
[Opus](https://www.anthropic.com/claude/opus)
Opus
- Sonnet
[Sonnet](https://www.anthropic.com/claude/sonnet)
Sonnet
- Haiku
[Haiku](https://www.anthropic.com/claude/haiku)
Haiku
Enterprise
- Overview
[Overview](/solutions/enterprise)
Overview
- Claude Code for Enterprise
[Claude Code for Enterprise](/product/claude-code/enterprise)
Claude Code for Enterprise
Use cases
- AI agents
[AI agents](/solutions/agents)
AI agents
- Code modernization
[Code modernization](/solutions/code-modernization)
Code modernization
- Coding
[Coding](/solutions/coding)
Coding
- Commerce
[Commerce](/solutions/commerce)
Commerce
Departments
- Customer support
[Customer support](/solutions/customer-support)
Customer support
- Cybersecurity
[Cybersecurity](/solutions/cybersecurity)
Cybersecurity
- Legal
[Legal](/solutions/legal)
Legal
- Sales
[Sales](/solutions/sales)
Sales
Industries
- Financial services
[Financial services](/solutions/financial-services)
Financial services
- Government
[Government](/solutions/government)
Government
- Healthcare
[Healthcare](/solutions/healthcare)
Healthcare
- Higher education
[Higher education](/solutions/education)
Higher education
- K-12 teachers
[K-12 teachers](/solutions/teachers)
K-12 teachers
- Life sciences
[Life sciences](/solutions/life-sciences)
Life sciences
- Nonprofits
[Nonprofits](/solutions/nonprofits)
Nonprofits
- Small business
[Small business](/solutions/small-business)
Small business
Programs
- Startups
[Startups](/programs/startups)
Startups
- Scientists
[Scientists](/programs/team-plan-for-scientists)
Scientists
Developers
- Developer docs
[Developer docs](https://code.claude.com/docs/en/overview)
Developer docs
- Developer blog
[Developer blog](https://claude.dev/)
Developer blog
- Community
[Community](/community)
Community
- Console
[Console](https://platform.claude.com/docs/en/home)
Console
- Engineering at Anthropic
[Engineering at Anthropic](https://www.anthropic.com/engineering)
Engineering at Anthropic
Platform
- Overview
[Overview](/platform/api)
Overview
- Marketplace
[Marketplace](/marketplace)
Marketplace
- Claude on AWS
[Claude on AWS](/partners/claude-on-aws)
Claude on AWS
- Google Cloud
[Google Cloud](/partners/google-cloud)
Google Cloud
- Microsoft Foundry
[Microsoft Foundry](/partners/microsoft-foundry)
Microsoft Foundry
Resources
- Blog
[Blog](/blog)
Blog
- Claude partner network
[Claude partner network](/partners)
Claude partner network
- Claude Academy
[Claude Academy](https://academy.claude.com/)
Claude Academy
- Customer stories
[Customer stories](/customers)
Customer stories
- Events
[Events](https://www.anthropic.com/events)
Events
- Powered by Claude
[Powered by Claude](/partners/powered-by-claude)
Powered by Claude
- Service partners
[Service partners](/marketplace/service-partners)
Service partners
Help and security
- Availability
[Availability](https://www.anthropic.com/supported-countries)
Availability
- Check files
[Check files](https://claude.com/check-files)
Check files
- Regional compliance
[Regional compliance](/regional-compliance)
Regional compliance
- Report abuse
[Report abuse](https://claude.com/form/anthropic-content-reporting)
Report abuse
- Security and compliance
[Security and compliance](https://trust.anthropic.com/)
Security and compliance
- Status
[Status](https://status.anthropic.com/)
Status
- Support center
[Support center](https://support.claude.com/en/)
Support center
Company
- Anthropic
[Anthropic](https://www.anthropic.com/)
Anthropic
- Careers
[Careers](https://www.anthropic.com/careers)
Careers
- Policy
[Policy](https://www.anthropic.com/policy)
Policy
- Research
[Research](https://www.anthropic.com/research)
Research
- Anthropic news
[Anthropic news](https://www.anthropic.com/news)
Anthropic news
- Policy on the AI Exponential
---
## grab-claude-platform-api-case-study-claude-by-anthropic-bfc868e530.md
# Grab scales personalized merchant support across Southeast Asia with Claude
[Try Claude](https://claude.ai)
Industry:
Ecommerce
Company size:
Medium
Product:
Claude Platform
Location:
Asia Pacific
5.7pp increase
in merchant issue resolution rate
25% reduction
in negative merchant sentiment
Grab, Southeast Asia's leading super-app, uses Claude to democratize business consulting for millions of merchant partners. With their Merchant AI Assistant, Grab gives businesses and everyday entrepreneurs access to the kind of expert guidance traditionally available only to large enterprises.
Key results with Claude:
- 5.7 percentage point increase in resolution rate
- 8% growth in inbound merchant conversations
- 25% reduction in negative sentiment
## The challenge of scaling personalized merchant support
Grab serves over 44 million monthly transacting users across mobility, deliveries, and financial services. Their merchant network ranges from small merchants to large retail chains across multiple countries, each with unique needs.
"One of our challenges stems from our rapid growth and extensive merchant network across Southeast Asia. We identified a crucial need: providing consistent, high-quality support to our merchant partners at scale," said Chris Collard, Product Manager at Grab.
Traditional support models couldn't efficiently serve this diverse merchant base while maintaining the personalized advice that drives success. Small merchants needed different support than more established ones, yet both deserved the same level of quality assistance. Grab faced the challenge of democratizing enterprise-level account management—making high-quality business recommendations available to every merchant partner, regardless of size, at any time of day across the region's diverse markets and languages.
## Choosing Claude for performance and partnership
Grab evaluated multiple AI models through rigorous testing of technical capabilities and real-world business impact. The team tracked model performance on merchant engagement and retention while interviewing merchant partners to understand their experiences.
"We ran evaluations focused on our GrabMerchant AI Assistant use case, and Claude models demonstrated the best performance for our requirements," Collard explained. Claude's ability to maintain an authentic and empathetic human tone when engaging with their wide range of users was especially important.
Beyond performance, Grab valued Anthropic's approach to problem-solving, with collaboration that extended beyond simply licensing technology to include architectural support and shared evaluation frameworks. Collard adds, "Anthropic works alongside our teams to solve business challenges, making them a true strategic collaborator in our AI journey."
## How Claude creates a 24/7 business advisor
Claude powers the conversational heart of Grab's Merchant AI Assistant. It processes merchant-specific data to deliver personalized recommendations tailored to each business. The Assistant operates across Grab's 8 regional markets, seamlessly handling multiple regional languages while maintaining consistent quality.
The AI Assistant functions like a dedicated business consultant available around the clock, providing:
- **Practical guidance**: Detects missing menu photos and guides merchants to add them step-by-step
- **Strategic recommendations**: Suggests new menu items based on local trends and competitor analysis
- **Marketing insights**: Offers advice on effective promotional campaigns when competitors boost sales through promos
- **Business analysis**: Helps merchants analyze performance data and identify growth opportunities
- **Operational support**: Provides guidance on navigating the GrabMerchant app and platform features
This approach transforms the Assistant from a simple help desk into a true business advisor that understands each merchant's unique context and goals.
## Driving business growth across the region
Grab's AI Merchant Assistant has transformed how merchants operate their businesses. It has become a trusted advisor they turn to throughout their entrepreneurial journey. Rather than just answering basic questions, Merchant Assistant engages in strategic conversations about growth opportunities and performance optimization.
This merchant success has created a ripple effect throughout Grab's ecosystem. When merchants implement the assistant's recommendations—like adding menu photos, launching targeted promotions, or optimizing their listings—consumers can find a more vibrant platform filled with engaging offers and diverse options. Better-performing merchants lead to satisfied customers, creating a virtuous cycle that strengthens the platform.
The Assistant's deployment across diverse regional markets showcases Claude's multilingual capabilities, ensuring a small vendor in Bangkok receives the same quality advice as a large restaurant chain in Jakarta, both in their preferred language.
## Expanding AI's role in regional commerce
Grab sees Claude as the long-term foundation for their merchant support ecosystem. The company plans to expand the Assistant's capabilities and streamline development through standardized infrastructure for multiple engineering teams to contribute innovations more efficiently. The company is exploring MCPs for their backend infrastructure to accelerate new feature implementation across teams.
The company's mission extends beyond technology to economic empowerment, ensuring that small and medium-sized businesses across the region as well as everyday entrepreneurs have access to the same quality recommendations and insights that drive success in the digital economy.
## Related stories
### Reversia translates e-commerce stores across 110+ languages with Claude
### Inside Rakuten's plan to turn every employee into a builder with Claude Managed Agents
### Rakuten accelerates development with Claude Code
### How Shopify uses Anthropic’s Claude on Google Cloud to supercharge Sidekick
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## gradial-claude-platform-api-case-study-claude-by-anthropic-cc9930d84d.md
# Gradial scales enterprise marketing execution with Claude Opus 4.7
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Startup
Product:
[Claude Platform](https://claude.com/platform/api)[Claude Cowork](https://claude.com/product/cowork)[Claude Code](https://claude.com/product/claude-code)
Location:
North America
300+ hours of bulk content operations now take less than 10 hours
campaign execution time
90% faster
with Gradial using Opus 4.7 for one technology customer
[Gradial](https://www.gradial.com/) is an AI-native platform that executes the operational work between a marketing brief and a live campaign for enterprise teams. Its AI agents handle workflow execution including content authoring, asset tagging, governance, QA, and AI search optimization.
## With Claude, Gradial:
- Delivers higher first-pass accuracy on content execution, which translates to 90%+ faster time-to-live for campaigns.
- Handles complex enterprise design systems, brand rules, and CMS architectures with less manual effort.
- Builds dynamic, personalized web pages and emails by reasoning across large campaigns and multi-step workflows.
- Deploys across AWS, Azure, and GCP, meeting compliance requirements for highly regulated customers in financial services and healthcare.
## The challenge
## Executing marketing workflows at enterprise scale
Enterprise marketing workflows are highly bespoke, multiplayer, and multidimensional, with fragmented context and many governance requirements. Between a marketing brief and a live campaign, enterprise teams face 20-plus operational steps: brief building, authoring, design, QA, asset tagging, stakeholder approval chains, and coordination across fragmented tools and agencies. This messy web can stretch campaign execution timelines to weeks and make the marketer experience challenging. "Enterprise marketing teams don't have a creation problem,” said Anish Chadalavada, co-founder of Gradial. “They have an execution problem. And existing software tools don’t understand or integrate with the workflow context needed to solve it."
When Gradial launched, the team built its architecture and agent harness as multi-model from the start, with an orchestration engine that routes each task to the best-fit model for that customer’s context. Some tasks need strong reasoning and instruction-following, some need speed, some need memory. But the biggest challenge was orchestrating tasks where the model needed to simultaneously follow conditional instructions precisely, maintain governance across long workflows, and author content within complex design systems. “Enterprises need a true agent harness for marketing that orchestrates across complex workflows at scale,” Chadalavada said.
Introducing Claude Opus 4.7
Opus 4.7 is a notable improvement on Opus 4.6 in advanced software engineering, with particular gains on the most difficult tasks.
[Read more](https://www.anthropic.com/news/claude-opus-4-7)
## The solution
## Improving long context reasoning with Claude Opus 4.7
Gradial solves this by evaluating models continuously against real customer workloads and selecting the best model for a task in the customer context. The team built evaluation frameworks including one that tested models against 25 real content execution tasks within enterprise campaign workflows, spanning easy, medium, and hard difficulty levels. Tasks ranged from adding compliance disclosure components to creating full dynamic web pages and emails with multi-section layouts and table structures.
Two capabilities separated current Claude models from the other models Gradial tested. The first was the 1-million-token context window with maintained reasoning quality. "When we can feed the model a full brand guideline document, a page's complete component structure, and detailed authoring instructions without needing to compress or chunk, the output quality goes up measurably," said Doug Tallmadge, co-founder and CEO of Gradial. "Less compaction means fewer lost constraints."
The second was structural awareness. In Gradial's evaluations, the leading models all achieved near-perfect content accuracy. Where Claude differentiated was in how it handled placement within complex design systems. "On tasks requiring precise component nesting, like placing a content card inside a specific sub-container rather than a generic parent element, Opus often demonstrates better understanding of existing page structure," Tallmadge noted. "In enterprise environments where design systems and customer journeys are complex, that structural intelligence is critical."
Claude's availability across AWS, Azure, and GCP reinforced the decision, enabling Gradial to meet customer compliance requirements across multiple different cloud providers.
## How Gradial executes enterprise content with Claude
Claude operates within Gradial's orchestration engine across core workflows. When a marketer assigns a task like building a landing page from a Figma file, executing a content update from a Jira ticket, or creating page variants for experimentation, the engine breaks the task into subtasks. Claude often handles the tasks requiring detailed instruction-following: authoring content into specific CMS components while respecting governance constraints and design system specifications.
For QA and governance, Claude helps perform brand compliance checks, accessibility validation against WCAG 2.2, and content QA against customer-defined rules. Every output gets validated before it goes live. During customer onboarding, Claude processes brand guidelines, design system documentation, and component libraries to extract the structured rules that power downstream execution.
Gradial deploys Claude directly and through different cloud providers, integrated into the larger execution harness the team built around it. This harness includes the orchestration engine that decomposes marketing jobs into subtasks and routes them to the best model, a knowledge graph that stores each customer's brand and workflow context, integration connectors and skills for enterprise marketing systems, and governance layers that check every output.
Claude Code
Anthropic's agentic coding tool. Claude Code understands your codebase, edits files, runs commands, and helps you ship faster.
[Read more](/product/claude-code)
## The outcome
## Higher first-pass accuracy at scale
The gains compound across Gradial's execution pipeline. When Claude's output quality improves at any layer, every downstream job benefits. "Improvements in first-pass accuracy on content operations tasks can automate work that would otherwise require hundreds of hours of effort and QA,” Tallmadge said. “These time savings allow teams to scale to deliver more contextual, personalized experiences." Bulk component update operations that used to take 300+ hours can now be done in less than 10 hours, with perfect accuracy.
Higher first-pass accuracy means content passes governance checks faster, which translates to higher throughput and 90%+ faster time-to-live for campaigns. And the complexity ceiling has risen: enterprise environments with hundreds of component types, conditional brand rules across business units, and highly custom CMS architectures that previously required heavy manual support are now within reach for agentic automation.
As Claude's reasoning capabilities have improved with Opus 4.6 and 4.7, the scale of what’s possible has grown rapidly. "Workloads that weren't feasible previously became possible," Tallmadge explained. "The better the model's reasoning, the more complex the tasks we can automate."
Internally, Claude has also changed how Gradial operates as a company. Claude Code shifted how the engineering team works, and Cowork brought that same capability to the rest of the organization. Gradial's sales and marketing teams adopted Claude for everything from understanding product issues to tracking a rapidly growing customer base. "When you're scaling as fast as we are, having that kind of capability across every team is a force multiplier," Tallmadge noted.
Gradial is expanding Claude's role across its execution stack, particularly in campaign execution, cross-channel content optimization, and Generative Engine Optimization, where the company helps brands structure web content for both human visitors and the AI models that reference it, with execution built in. "The broader direction is toward more intelligent execution," Chadalavada said. "Today, a marketer assigns a job and Gradial executes it. Tomorrow, marketers lay out the strategy and vision, and agents proactively execute it, recommend optimizations, and make improvements continuously."
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## gradient-labs-claude-platform-api-case-study-claude-by-anthropic-0be098a5c4.md
# Gradient Labs transforms financial services customer support with Claude
[Try Claude](https://claude.ai)
Industry:
Financial services
Company size:
Small
Product:
Claude Platform
Location:
Europe
80-90% resolution
rates for automated support
98% satisfaction
outcomes with AI automation
Gradient Labs is transforming customer support for financial institutions by building an AI-powered platform that follows standard operating procedures with the precision and reliability required in highly regulated environments.
With Claude, Gradient Labs achieves:
- 80-90% resolution rates for customer support automation, with customer satisfaction outcomes that are as high as 98%
- The flexibility to automate almost 80% of tasks within customer support and operations functions
- Profitable outcome-based pricing that enables teams to automate complex resolutions
- An AI Agent platform safe and compliant to work in regulated banks
## AI for the most demanding regulatory environments
Dimitri Masin, along with Neal Lathia and Danai Antoniou, recognized an emerging pattern across customer support automation while at Monzo. Companies reported 40-50% automation rates, but were only automating simple queries that required minimal time anyway.
This insight revealed the real opportunity: automating complex, time-consuming queries that create meaningful operational impact. Rather than building a generic solution, Gradient Labs focused specifically on financial services, where their deep understanding of regulatory requirements, like detecting vulnerable customers and preventing unauthorized financial advice, allowed them to build appropriate guardrails from the start.
## Selecting Claude for human-like responses and superior reasoning
After evaluating multiple AI models, Gradient Labs chose Claude to power the majority of its platform. "Claude's ability to generate more natural, human-like, and authentic responses compared to other models," said Masin, made it their primary choice for response formulation, intent classification, and reasoning over their knowledge graph.
Claude handles the most critical functions for Gradient Labs’ platform: understanding customer queries within context and executing standard operating procedures (SOPs) by determining appropriate next steps. "Claude's proficiency in understanding customer queries within the context of their knowledge graph to provide accurate responses and its effectiveness in executing SOPs by determining the next appropriate steps and utilizing relevant tools," said Masin.
## Delivering results through intelligent automation
Gradient Labs leverages Claude across several key capabilities:
- **Intent classification and reasoning**: Claude analyzes customer queries and determines the appropriate response path using Gradient Labs' knowledge graph
- **Standard operating procedure execution**: Claude follows complex multi-step processes required in financial services, determining next steps and utilizing relevant tools
- **Response generation**: Claude creates natural, human-like responses that maintain the quality and tone required for regulated financial institutions
- **Knowledge graph integration**: Claude understands customer queries within the context of Gradient Labs' comprehensive knowledge base to provide accurate, contextual responses
## Transforming customer support quality and efficiency
The impact on Gradient Labs' clients has been substantial. Rather than focusing solely on automation percentages, the company prioritizes resolution rates for end-to-end query handling without human intervention. "We focus on achieving 80-90% resolution rates, which leads to real operational savings," said Masin.
This approach delivers meaningful value—while competitors might automate simple queries with minimal impact, Gradient Labs' high resolution rates translate to substantial time savings for financial institutions. Their outcome-based pricing model, which includes tiered pricing for more complex resolutions, aligns their incentives with customers' goals of achieving higher automation rates.
For customers, the experience feels seamless and professional. The AI handles complex queries with the precision and compliance awareness that regulated institutions require, while maintaining the conversational quality that customers expect from premium financial services.
## Building the future of intelligent customer support
Gradient Labs envisions AI transforming customer support by handling repetitive tasks while enabling human agents to focus on complex, relationship-building work. "AI handles the repetitive and often tedious aspects of customer support, freeing human agents to focus on more complex issues and providing exceptional, above-and-beyond service, similar to the early days of Monzo," said Masin.
Gradient Labs continues refining its platform to handle complex scenarios while maintaining the regulatory compliance and quality standards that financial services demand. With Claude as their core AI foundation, they can tackle advanced customer operations use cases, such as money laundering and fraud investigations, transforming how financial services deliver customer support.
## Related stories
### How Qonto delegates financial admin for small businesses with Claude on Amazon Bedrock
### Pictet turns weeks of work into hours with Claude Code
### How Satispay's engineers write 75% of their code with Claude
### OffDeal powers every stage of M&A advisory with one Claude-based agent
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## grafana-claude-platform-api-case-study-claude-by-anthropic-bc4886963a.md
# Grafana transforms observability workflows with Claude-powered multi-agent assistant
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Medium
Product:
Claude Platform
Location:
North America
Under 8 weeks
from prototype to full private preview
Complex queries
generated using natural language prompts
Grafana Labs uses Claude to power an intelligent multi-agent assistant that helps teams across all experience levels—from CTOs to junior Site Reliability Engineers (SREs)—unlock observability data through natural language conversations.
**With Claude, Grafana delivers:**
- Prototypes built in under one week, full private preview in under eight weeks
- Complex dashboards and queries created using simple natural language
- Automatic PromQL and LogQL query generation, eliminating technical barriers
- Intelligent workflow automation across the entire Grafana ecosystem
## Making observability accessible to every team
Since 2014, Grafana Labs has transformed how organizations visualize and understand their data. Their comprehensive stack includes Grafana for visualization, Mimir for metrics, Loki for logs, Tempo for traces, and Pyroscope for continuous profiling. Companies worldwide rely on Grafana's tools to monitor critical systems—from everyday applications to high-stakes environments where downtime isn't an option.
Observability means processing millions of daily data points that need analysis and understanding. Traditional approaches required deep technical expertise to write queries, create dashboards, and navigate complex workflows. This expertise barrier often locked valuable insights away from teams who needed them most.
“Grafana's AI evolution progressed in stages. Where we started with traditional methods to forecast and detect outliers, we rapidly moved into the GenAI space to provide auto-summaries for incidents or explain flame graphs," said Maurice Rochau, Senior Product Manager at Grafana Labs. "These tasks were mostly single prompt, single action, single outcome." The team recognized that observability challenges required more sophisticated solutions that could combine context with prompts, execute multiple actions, and drive various outcomes simultaneously.
## Selecting Claude for technical complexity and accessibility
When building their Grafana Assistant, the team needed AI models that could handle observability's technical complexity while remaining accessible across all skill levels. They chose Claude Sonnet 3.7, soon to be 4, and Claude Haiku 3 as the main models powering their multi-agent system.
"We use Claude Sonnet 3.7 and Claude Haiku 3 as main models for our Grafana Assistant," Rochau explained. "With Claude Sonnet 3.7, we tackle more technically complex tasks while Haiku 3 handles simpler summarization tasks."
Claude consistently demonstrated superior performance handling observability data's nuanced requirements—from understanding database queries to generating accurate visualizations. The model family approach proved particularly valuable, allowing Grafana to optimize for both deep technical analysis and quick responses based on specific use cases.
Implementation was straightforward thanks to comprehensive documentation and Grafana's open-source nature. "Integration with Claude is easy due to the available docs and best practices," Rochau noted. As an open-source company with extensive public documentation, community contributions, and openly available code, Grafana benefits from Claude's ability to understand their ecosystem deeply. This ease allowed Grafana to move quickly from concept to working prototype.
## How Claude enables intelligent observability workflows
Grafana's AI assistant operates directly within the interface as a sidebar, providing contextual help wherever users work. The assistant combines Claude's capabilities with Grafana-specific best practices and deep observability workflow understanding.
The multi-agent system handles sophisticated observability tasks:
- **Natural language query generation**: Users ask questions like "What’s the request latency for my checkout service?" and the assistant automatically finds relevant metrics and constructs appropriate queries
- **Dashboard creation**: Creates entire dashboards with multiple panels, selects visualizations, crafts titles and descriptions, and handles panel placement—tasks typically requiring significant time and expertise
- **Intelligent investigations**: When prompted about service issues, navigates through logs and metrics, identifies errors, analyzes latency patterns, and provides root cause analysis with recommended actions
- **Multi-step automation**: Breaks complex observability tasks into logical steps, showing reasoning and tool usage throughout
The assistant leverages specialized tools to query metrics, navigate between Grafana views, fix problematic panels, and adjust visual elements like color schemes across multiple panels simultaneously.
## Democratizing observability insights
Claude is changing how Grafana customers interact with their observability data. The assistant eliminates traditional barriers between technical expertise and actionable insights, enabling teams at all levels to leverage data effectively.
"CTOs and CEOs can query their data like a seasoned SRE," Rochau observed. This democratization means strategic decision-makers can directly access insights without requiring specialized technical knowledge or spending hours analyzing data. Tasks like dashboard creation now happen in minutes through natural language conversations, letting teams focus on interpreting insights and taking action rather than wrestling with query syntax.
For customers, this represents a shift from reactive to proactive observability. Instead of manually investigating issues when they arise, teams receive intelligent analysis and recommendations that identify problems before they escalate.
## Building the future of AI-enhanced observability
Grafana envisions AI transforming observability in profound ways. "AI will greatly shape the observability space," Rochau predicted. "The combination of humans and agents is powerful: Agents help sift through relevant incidents and data to give a cohesive map of the situation while you focus on delivering fixes."
Looking ahead, Grafana plans to explore Model Context Protocol integrations further, seeking deeper capabilities that provide customers more tools for solving observability challenges. Working with Anthropic, they're pushing the boundaries of what's possible in observability while ensuring powerful insights remain accessible to organizations of all sizes.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## graphite-claude-platform-api-case-study-claude-by-anthropic-b3b9d97e85.md
# Graphite speeds up code review by 40x with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
800x faster
35 minutes vs 3 weeks for analysis
Human-level
performance on biomedical benchmarks
Graphite, a modern end-to-end developer platform, uses Claude to power their AI code reviewer that catches bugs and suggests fixes, transforming how engineering teams at companies like Snowflake, Asana, and Ramp approach software development.
With Claude, Graphite achieves:
- 40x faster pull request feedback loop, from 1 hour to 90 seconds
- 96% positive feedback rate on AI-generated comments
- 67% implementation rate of suggested changes
- Support for hundreds of thousands of pull requests across their customer base
## The challenge of scaling modern code review
Code review is a critical bottleneck in modern software development. While big tech companies like Google and Facebook have sophisticated internal tools to manage this process, most engineering teams struggle with basic GitHub workflows. "The open secret in dev tools is that almost every company builds tooling on top of GitHub to improve it for teams," said Tomas Reimers, Co-founder at Graphite.
Without proper tools, developers face mounting delays. They wait hours or days for feedback, then start another time-consuming cycle of fixes and re-reviews. In early 2023, Graphite explored AI-powered code review after receiving repeated requests from forward-thinking development teams. However, early experiments proved disappointing. "The models would hallucinate and confidently claim problems in pull requests that didn't exist," said Reimers. "When the bot generated incorrect but specific statements, people were frustrated." The team needed something that could match human-level understanding of code while maintaining high accuracy.
## Choosing Claude for superior code comprehension
After testing leading AI models, Graphite found that only Claude met their standards for code review. The team's rigorous evaluation framework tested models against 500 pull requests, including synthetic and real-world examples with known bugs that even experienced engineers struggled to spot. "Claude was especially good at code understanding, which for code review is incredibly important," said Alyssa Baum, Lead AI Engineer at Graphite.
The release of Claude 3.5 Sonnet marked a decisive breakthrough. Baum said, "Not only did our eval performance skyrocket, but it identified bugs in our test dataset that we hadn't even realized were bugs." Through A/B testing, the team confirmed Claude's superior performance. "When Claude 3.5 came out, we plugged it into our system and the performance for our users was incredible."
The partnership with Anthropic amplified these technical advantages. Anthropic's team provided crucial guidance on evaluation frameworks and implementation strategies through a dedicated Slack channel. When Graphite's October 2024 launch faced unexpected demand, Anthropic quickly helped scale their rate limits to meet customer needs. "We've had great support from the Anthropic team," said Reimers. "We found it to be incredibly helpful just for getting advice on how we should structure our evals and our code in general."
## Transforming code review through advanced AI architecture
Graphite's implementation combines Claude's sophisticated reasoning capabilities with deep expertise in effective code review. Their architecture breaks complex code analysis into discrete steps, allowing Claude to excel at each specific task. The system employs multiple validation layers including voting, chain of reasoning, and self-critique to ensure only high-quality comments reach developers.
The platform focuses on objective bugs, not subjective suggestions. It addresses issues like:
- Function parameter ordering errors
- Copy-paste mistakes
- Security vulnerabilities
- Logic inconsistencies
- Best practice violations
When issues are identified, the system automatically generates fix suggestions for developers to implement with a single click, reducing the traditional fix-and-review cycle time.
## Delivering measurable impact for development teams
Graphite's AI-powered approach has transformed the development workflow for their customers. Brian Michel from The Browser Company said, "Graphite Reviewer strikes a good balance between showing problems and not being annoying. It's different from other AI tools because it actually works. I'm able to iterate faster and produce something that is workable faster. This helps as a single developer because you're really not alone anymore."
The impact extends beyond individual developers to entire engineering organizations. "Graphite has been a game-changer for the team at Ramp," said Nik Koblov, Head of Engineering at Ramp. "The AI reviewer's automatic comments catch subtle errors before they become bugs, helping us maintain quality without slowing down. Overall, Graphite has made our workflow smoother and more productive."
This quality-at-speed advantage resonates across Graphite's customer base. "Graphite Reviewer is impressively high-signal: it has already caught several real bugs before they make it to customers, which is a valuable addition to our developer workflow," said Ben Kraft from Notion.
The system currently provides actionable feedback on one in five pull requests, nearing the industry standard of one in three receiving human comments. With 67% of AI suggestions leading to code changes and a 96% positive feedback rate, Graphite shows that AI can match human-level code review quality while operating at machine speed.
## Looking ahead to AI-augmented development
Graphite envisions a fundamental transformation in software development over the next decade. Reimers said, "Our belief here at Graphite is 10 years from now, individuals aren't going to write software. LLMs will write the majority of the code, and they'll be guided by or collaborate with humans who connect their product to the outside world."
Through their partnership with Anthropic, Graphite is leading this transformation. By automating time-consuming reviews, catching subtle bugs, and enabling one-click fixes, they're freeing developers to focus on what humans do best – making high-level architectural decisions that shape the future of software. Together, Graphite and Claude are transforming code review from a bottleneck into an accelerator of human creativity and engineering excellence.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## greptile-claude-platform-api-case-study-claude-by-anthropic-19c3353965.md
# Greptile builds truly agentic code review with Claude Agent SDK
[Get started](https://www.anthropic.com/engineering/building-agents-with-the-claude-agent-sdk)
Industry:
Software
Company size:
Small
Product:
Claude Agent SDK[Claude Code](https://claude.com/product/claude-code)
Location:
North America
~90% cache hit rates
Prompt caching through the Agent SDK dramatically reduces costs and increases compute efficiency
1 million
Issues caught per month
[**Greptile**](https://greptile.com) builds AI agents that review pull requests with full codebase context. The company serves more than 2,000 organizations, from startups to enterprises like NVIDIA, Brex, and Coinbase, helping engineering teams catch bugs and anti-patterns before they ship to production.
## With Claude Agent SDK, Greptile:
- Achieves ~90% cache hit rates, dramatically reducing costs for both Greptile and self-hosting customers
- Enables multi-hop code investigation that follows leads across git history, similar functions, and pull request context
- Ships new capabilities faster by focusing engineering time on specialized tooling rather than harness infrastructure
- Powers autonomous code review that iteratively investigates issues rather than following rigid workflows
- Provides enterprise customers with cost-effective self-hosting options through efficient compute usage
## The problem
In the AI code review space, most tools follow predetermined paths. They scan a pull request, run through a fixed checklist, and surface findings in a predictable sequence. But Greptile sees code review as an investigation, not a checklist. When a skilled engineer spots something unusual, they don't follow a script. They dig deeper, examine context, trace history, and connect dots across the codebase.
Greptile's team recognized this gap. They had built specialized tools for the investigative work: utilities for grabbing codebase context, finding semantically similar functions, retrieving git history, and more. But their orchestration layer forced these tools into a rigid flowchart. Each step revealed new information, but the system couldn't act on those discoveries because it was locked into a predetermined sequence.
"We wanted to build a system where Greptile could be truly multi-hop and autonomous—where every step reveals new information, and the next step can be based on that information instead of following a rigid flowchart," says Daksh Gupta, Co-founder and CEO, at Greptile.
The team needed an orchestration layer as intelligent as their tooling—one that would let their code review agent think like a skilled engineer.
## Building an agentic code review system with the Agent SDK
The Greptile team considered building their own agent harness but quickly realized where their time would be better spent. "It became clear to us that the value was to spend all of our time building better tools for code review," Gupta says. For a team of 10 engineers, that focus matters.
The Claude Agent SDK offered a powerful orchestration layer that would let them focus on their domain expertise rather than infrastructure. The decision also reflected a technical intuition: agent harnesses and models are tightly coupled. "It was clear to us that models and harnesses would be coupled, and the models were the best," Gupta explains. "That was a really big advantage for the Anthropic SDK."
## Greptile uses Claude for multi-hop code investigation
Claude now powers Greptile's investigative approach to code review. When the agent spots a calculation that looks unusual or a function that differs from similar ones across the codebase, it can autonomously decide what to investigate next. It might examine git history to understand why something changed, trace a commit back to its original pull request to read the context, or compare the code against patterns elsewhere in the repository. "It's acting like an investigative reporter or detective," Gupta explains. "We have all the tooling for the detective, and what we wanted was a really powerful orchestrator for it."
Greptile runs on Opus 4.5. “We believe it to be the best coding model for everything we're trying to achieve with detecting bugs and anti-patterns in code,” Gupta said. “The prompt caching works well for our use case, and the integration with MCP has been valuable."
Greptile also makes heavy use of the SDK's sub-agent capabilities. One sub-agent handles memory retrieval, pulling from a bank of information that includes coding standards the team has expressed, idiosyncrasies Greptile has learned about the codebase, and context from documentation, claude.md files, and cursor rules. This accumulated knowledge informs every review.
The team also uses hooks to inject determinism where it matters. For code review, this means ensuring that every file in a pull request gets examined—a guarantee that's essential for enterprise customers who need thorough, consistent coverage.
## The outcome
The shift to the Agent SDK delivered immediate efficiency gains. Greptile now achieves cache hit rates close to 90%, which translates to meaningful cost savings across their operation. For customers who self-host Greptile using their own Anthropic instances, this efficiency means they can roll out AI code review at larger scale without proportional cost increases. "Now with the Agent SDK, we have true autonomy—every step creates new information, and the next step can be based on that information," Gupta says. "This has fundamentally changed how our code review agent operates."
The deeper impact is in what Greptile can now build. "The Agent SDK has allowed us to ship faster with far more cost effectiveness and allows us to focus deeply on building specialized tooling," Gupta says."We can focus all our energy on building highly specialized tools for the specific types of things we want to achieve."
Rather than maintaining harness infrastructure, the team invests that engineering time in the tools that make code review genuinely useful: better codebase understanding, smarter similarity detection, richer git history analysis.
The results show up in production. In one example from an NVIDIA open-source repository, Greptile flagged an issue that the reviewing engineer initially disputed. The agent responded with additional evidence—comparisons to similar functions across the codebase, relevant git history—and the engineer acknowledged the catch was correct. That kind of multi-step investigation, where the agent can defend its findings with evidence, is exactly what the agentic architecture enables.
Customers have noticed the difference. "Despite having a tech stack that has repeatedly proven difficult for AI to grasp, Greptile has delivered consistent review insights with a good signal-to-noise ratio that has won over even our most discerning engineers," says Jarrod Ruhdland, Principal Engineer at Brex.
Greptile continues to expand what's possible with the Agent SDK, building new capabilities that would have been far more difficult to develop and maintain without it. For a company reviewing over a billion lines of code each month, the ability to focus on domain expertise rather than infrastructure has become a strategic advantage.
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## gumroad-claude-platform-api-case-study-claude-by-anthropic-3d663603d0.md
# Gumroad’s customer support team ships code with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
300% increase
in new features shipped to production
4x faster
feature deployment with AI assistance
Gumroad, an e-commerce platform for digital creators, uses Claude to empower every team member to have a meaningful impact on its product. With Claude, Gumroad has seen improved customer support, faster feature shipping, and the creation of a "just fix it" culture across the company.
- 300% increase in new features shipped to production
- 4x faster feature deployment
- Significant reduction in context switching for engineers to answer customer support tickets
## Enhancing agility in a remote-first culture
Gumroad, an e-commerce platform for creators to sell digital products directly to their audience, wanted to deepen and solidify its innovative edge. As a remote-first, cooperative company, Gumroad's success depended on empowering every team member to respond swiftly to customer needs and contribute to product development.
Sahil Lavingia, founder and CEO of Gumroad, shares, "Gumroad's remote-first culture and cooperative business approach make it special. We've pioneered a unique model where team members, including customer support staff, contribute to product development." This flat structure, while fostering innovation, created a need for tools that help non-technical staff contribute to technical tasks.
Lavingia approached AI cautiously. He explained, "I was concerned about its potential impact on creative industries." However, his perspective shifted upon discovering Claude's capabilities. "Seeing how Claude enhances productivity without replacing human creativity changed my perspective," Lavingia explained. "I realized AI could be a powerful tool for creators and our team."
## Choosing Claude for speed, accuracy, and versatility
Gumroad chose Claude 3.5 Sonnet for its speed, accuracy, and versatility in coding tasks.
> Claude 3.5 Sonnet is the only model fast and smart enough to assist in writing code more efficiently than a human engineer. It has virtually no hallucinations, which is important when writing code, and it's super fast.
— Sahil Lavingia, Founder and CEO of Gumroad
Vatsal Kaushik from Gumroad’s customer support team, added, “Claude is also quite accurate at locating the appropriate files and sections of the codebase that require editing. This saves a lot of time for customer supporters who lack the contextual knowledge of engineers when dealing with an evolved codebase.”
Initially, some Gumroad engineers were reluctant to switch Integrated Development Environments to one that would support Claude, but every engineer has since made the leap. On convincing the team to switch, Lavingia says, “There’s no way to know how delicious something is without tasting it. To achieve that, I had to do a little ‘Founder Mode’ — but it did not take more than a couple months for the entire team of 30+ people to be on board.”
## Claude improves customer support and expedites feature development
Since adopting Claude, Gumroad's customer support team doesn't just address queries—they proactively improve the platform.
"Our customer support team uses Claude to triage and often fix issues, reducing the load on our engineering team," Lavingia explained. This enables support staff to take on tasks that previously required engineering intervention.
The following feature developments were led by the customer support team's new capabilities:
- Keyboard shortcuts for replying to tickets streamline response times
- Sorting functionality based on creator earnings will improve user experience
- Removal of assigned tickets from the "all" queue, enhancing workflow efficiency
- Implementation of support ticket analytics, which provides valuable insights
- Holistic updates to help documentation for comprehensive user guidance
- Improved purchase lookup for quicker issue resolution
Kaushik adds, "Claude has effectively promoted us customer supporters at Gumroad. Just months ago, we primarily answered creators' questions after they reached out. Now, not only do we resolve queries faster but also actively improve the platform by shipping features and squashing bugs."
## Driving impressive business results and user benefits
The integration of Claude has improved Gumroad's operations and user experience. Lavingia reported, "Quantitatively, the team has increased our shipping pace by 300% — shipping 4 commits in the time it took to ship 1."
The impact extends beyond productivity gains. Gumroad has seen increased job satisfaction as team members expand their skills and contribute more directly to product development. For users, this translates to a more responsive platform that evolves to meet their needs, enhancing their ability to monetize their creative work.
## Looking forward: AI-powered innovation for creators
Gumroad aims to create a more robust ecosystem for creators by leveraging Claude's evolving capabilities, where AI enhances human creativity rather than replacing it. This positions Gumroad at the forefront of the e-commerce revolution for digital creators, with Claude as a key driver of their success and innovation.
Lavingia outlined prospects for Gumroad. He explained, "We're exploring ways AI can help creators improve product descriptions and generate new product ideas. We're also exploring AI applications for legal document generation, natural language account management, and automated content moderation."
More generally, Lavingia envisions a future where AI empowers rather than replaces human creativity. "I don't think artists, writers, and engineers will be 'unemployed' by AI. Instead, they'll be promoted to directors, editors, and product managers. This is an exciting future for humans who enjoy being creative and thoughtful—like everyone we hire at Gumroad."
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## harvey-claude-platform-api-case-study-claude-by-anthropic-915bdd112a.md
# Harvey transforms legal work with Claude
[Try Claude](https://claude.ai)
Industry:
Legal
Company size:
Small
Product:
Claude Platform
Location:
North America
Under 1 month
deployment across enterprise platform
Highest performance
on BigLaw Bench evaluation
Harvey helps law firms and Fortune 500 enterprises revolutionize their approach to contract analysis, due diligence, and litigation by integrating Claude's advanced reasoning into their domain-specific AI platform.
## Key results with Claude:
- Deployed Claude across the platform in under one month
- Achieved one of the highest performance scores on Harvey's proprietary BigLaw Bench evaluation
- Delivered statistically significant improvements on complex workflows requiring long-context reasoning
- Deployed Claude at enterprise scale and with enterprise-grade security and privacy.
## Legal AI demands exceptional accuracy and deep reasoning
Building AI for legal professionals requires processing thousands of documents with deep reasoning while maintaining the precision that legal work demands. With customers ranging from global law firms to Fortune 500 enterprises, Harvey needs AI models that excel at contract analysis, due diligence, compliance, and litigation support.
"Our secret sauce is this environment where we have domain experts embedded into teams and processes," said Niko Grupen, Head of Applied AI at Harvey. "We have legal researchers who are former Big Law attorneys sitting alongside AI researchers and engineers. They whiteboard together from concept, mapping legal problems to model problems."
This deep domain expertise drives Harvey's rigorous approach to model selection. "Evaluation of models for domain-specific tasks is one of our core strengths at Harvey," said Grupen. The company tests every model through [BigLaw Bench](https://www.harvey.ai/blog/expanding-harveys-model-offerings), their proprietary benchmark that measures AI's ability to complete real-world legal tasks. These outputs are graded for both substance—including accuracy, materiality, and hallucination rates—and form, such as tone, length, and formatting.
## Harvey chose Claude for superior long-context performance
When Harvey evaluated models for their platform expansion, Claude delivered exceptional performance. "We found that Claude is one of the highest performing models on our evaluations," said Grupen.
What distinguished Claude was its ability to handle long-context reasoning—critical for legal work involving extensive documents. "We've seen it perform really well on complex workflows that require long-context reasoning," Grupen explained. "The ability to effectively reason over a maximally-utilized context window remains a significant challenge, and Claude performs really well at upper token thresholds."
Harvey's three-pillar evaluation process tested models through BigLaw Bench, real-world product environments, and unstructured assessments by both AI and legal researchers. Claude delivered statistically significant improvements on complex workflows where long-context reasoning proves essential. This performance, combined with Harvey's commitment to offering their customers choice, made Claude an ideal addition to their platform.
## Claude available across Harvey’s platform
Harvey customers can select Claude models across key product surfaces — including [Assistant](https://www.harvey.ai/platform/assistant), [Vault](https://www.harvey.ai/platform/vault), and [Workflows](https://www.harvey.ai/platform/vault) — to help review and draft documents faster, more efficiently, and in the voice and tone of their organization or end customers. The Workflows product, in particular, is well-suited for Claude's instruction-following capabilities and ripe for customization.
"We're taking complex legal tasks and turning them into end-to-end, interactive journeys. Instead of wrestling with natural-language prompts, you can engage with a Harvey agent that guides the process — proactively asking for input, asking the right follow-up questions, handling the heavy lifting behind the scenes, and surfacing intermediate work product for review.”
This human-in-the-loop approach is pivotal: "At every checkpoint you can step in—add, edit, delete, or reshape content—before giving it your stamp of approval." Grupen explains, "The Harvey system then comes up with the final work product from there."
## Rapid deployment meets enterprise security demands
Harvey integrated Claude into their platform in under a month—remarkable speed for an enterprise deployment. "Initial feedback from beta testers has been quite strong," Grupen noted.
The successful deployment required meeting stringent enterprise requirements: security and privacy standards, strict compliance protocols, and rolling out significant capacity across multiple regions (in accordance with local data processing requirements). This swift implementation reflected both Harvey's technical capabilities and Anthropic's support throughout the process. "Working with the Anthropic team has been a real delight. We've had support from day one—from leadership all the way to the implementation team," Grupen shared. "We're a company that moves at the speed of light, and having a partner that's in the trenches with us goes a long way."
With the addition of Claude to Harvey’s platform, legal teams can tackle their most complex matters with enhanced capabilities. Whether conducting due diligence on massive data rooms, drafting sophisticated agreements, or navigating intricate regulatory requirements, lawyers across Harvey's global customer base have AI that understands the nuances their work demands.
## Building the future of AI-powered legal services
Looking ahead, Harvey plans to expand Claude's role in areas where deep reasoning matters most. They’re particularly excited about the growing interplay between models and agents, especially as they’re manifested in products like Workflows. "This ecosystem of models and their instruction-following capabilities become really important as we innovate," said Grupen. "We're optimistic about how we can evolve and grow together."
## Related stories
### Spellbook runs 530,000 contract reviews a month with Claude
### EvenUp cuts document drafting from 15 hours to 15 minutes with Claude
### Eve Legal helps plaintiff law firms settle cases 60 days faster with Claude
### GC AI powers legal workflows for 1,500 companies, saving lawyers 14 hours a week with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
- [Security and compliance](https://trust.anthropic.com/)
- [Status](https://status.anthropic.com/)
- [Support center](https://support.claude.com/en/)
## Company
- [Anthropic](https://www.anthropic.com/)
- [Careers](https://www.anthropic.com/careers)
- [Policy](https://www.anthropic.com/policy)
- [Research](https://www.anthropic.com/research)
- [Anthropic news](https://www.anthropic.com/news)
- [Policy on the AI Exponential](https://www.anthropic.com/policy-on-the-ai-exponential)
- [Responsible Scaling Policy](https://www.anthropic.com/news/announcing-our-updated-responsible-scaling-policy)
- [Transparency](https://anthropic.com/transparency)
## Terms and policies
- Privacy choices
- [Privacy policy](https://www.anthropic.com/legal/privacy)
- [Responsible disclosure policy](https://www.anthropic.com/responsible-disclosure-policy)
- [Terms of service: Commercial](https://www.anthropic.com/legal/commercial-terms)
- [Terms of service: Consumer](https://www.anthropic.com/legal/consumer-terms)
- [Terms of Service: US K-12](https://anthropic.com/legal/k12-terms)
- [Data Processing Agreement: US K-12](https://anthropic.com/legal/k12-dpa)
- [Usage Policy](https://www.anthropic.com/legal/aup)
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## headstart-claude-platform-api-case-study-claude-by-anthropic-775df85d4c.md
# Headstart accelerates software development by up to 100x with Claude
[Try Claude](https://claude.ai)
Industry:
Software
Company size:
Small
Product:
Claude Platform
Location:
North America
10-100x faster
software development
90-97%
of client code written by Claude
Headstart, an AI-native software development company, uses Claude to deliver enterprise software projects in weeks instead of months, revolutionizing development timelines for clients while maintaining high security standards.
With Claude, Headstart has achieved:
- 10-100x faster software development
- 90-97% of client code written by Claude
- Reduction in project timelines from months to weeks
## Making AI-powered software development accessible
When Nicole Hedley founded Headstart in December 2022, she saw an opportunity to radically accelerate software development using AI. As an experienced engineer, she recognized that traditional development incentives and timelines didn't align with new AI capabilities. Headstart helps companies implement AI effectively to speed up their development process. "I started it by taking on projects I knew I could complete. And then all of a sudden, I could complete a lot more," Hedley explains.
## Why Headstart chose Claude
Headstart uses multiple AI models but defaults to Claude for most coding tasks. After the release of Claude 3.5 Sonnet, they went all-in on Claude, attracted by its superior performance and user experience. "When Sonnet 3.5 launched, I once again defaulted to it," explains Hedley. She particularly values Claude's intuitive interface, noting "I much prefer Anthropic's UX. I think it's great." The ability to work with individual files, easily copy-paste, and Claude's responsiveness make it her go-to tool. Despite having access to AI-integrated code editors, Hedley consistently chooses Claude's native interface: "I find it so much easier and faster to use through the Claude UX than through a code editor."
For Headstart's enterprise clients in industries like healthcare and financial services, data privacy is paramount. The team leverages Claude's projects feature to work with entire codebases while maintaining the security their clients require. This combination of powerful features and trust has made Claude indispensable to their workflow.
## How Claude transforms software development
Claude enables Headstart to revolutionize their development process in unprecedented ways. At the core of this transformation is Claude's ability to generate nearly all of the required code for clients automatically. "Claude does 90 to 97% of the code implementation so I can focus my time on architecture design & problem solving," says Hedley.
This automation extends to rapid application development. Hedley can build entire applications in a fraction of the traditional time. She notes, "I built an entire iPhone app for a client on Friday just using screenshots. It's absolutely mind blowing to me."
Claude's extensive context window has also transformed their approach to handling large codebases. When the 200K context window was released, Hedley notes they "ripped out the entire RAG and just put it in the context window instead and it went from 60 percent accuracy to 98. It was quicker, cheaper, better, everything." This combination of automation, speed, and accuracy has fundamentally changed how Headstart approaches software development.
## Transforming client expectations and outcomes
By leveraging Claude, Headstart has changed what's possible in software development timelines and costs. They can quote clients timelines that are 10x faster than industry standard - and consistently deliver. For one recent project, they completed in two weeks what the client CTO estimated would take 4-8 months. This allows Headstart to operate on a flat-fee model rather than hourly billing, passing on the efficiency gains to clients.
The impact extends beyond just speed. Their ability to handle multiple complex projects simultaneously demonstrates the transformative power of AI-native development. As Hedley notes, "The more you can do, the more there is to do." This approach appeals to forward-thinking clients wanting to leverage cutting-edge technology for competitive advantages.
## Looking toward an AI-native future
Hedley envisions a future where AI handles implementation details, freeing humans to focus on high-level problem solving and innovation. She explains, "I have this picture of the AI coding and people doing the fun stuff like having conversations, solving problems, and whiteboarding." She believes the development paradigm will shift, potentially eliminating traditional coding environments: "If the AI is truly coding, it doesn't need a coding editor, so what does that look like?"
For Headstart, the goal is to remain "AI-native" as they grow, using tools like Claude to maintain exponential productivity gains instead of scaling linearly with headcount. "My hypothesis is software engineers will be way more expensive, and the expertise will be more important with what good looks like, and how to plug the pieces together." They're excited to push the boundaries with Anthropic, seeing each update as an opportunity to revolutionize software development.
> I think Claude is the greatest thing in the world. I can't believe more people don't use it. I really am shocked.
— Nicole Hedley, Headstart Co-founder
## Related stories
### Supermetrics lets marketers manage ad campaigns from a conversation with Claude
### How Atlassian builds AI agents teams can trust with Claude and Google Cloud
### Rocket Money on building agents that fix their own code
### How Rocket Money built its personal finance agent with Claude
[](/)
© 2026 Anthropic PBC
## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
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## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
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## Industries
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## Programs
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## Developers
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## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
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- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
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## Company
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## Products
- [Claude](/product/overview)
- [Claude Code](/product/claude-code)
- [Claude Cowork](/product/cowork)
- [@Claude](/product/tag)
- [Claude Science](/product/claude-science)
- [Claude Security](/product/claude-security)
- [Download app](/download)
- [Pricing](/pricing)
- [Log in](https://claude.ai/login)
## Capabilities
- [Artifacts](/features/artifacts)
- [Design](/product/design)
- [Connectors](/marketplace/connectors-plugins)
- [Plugins](/marketplace/plugins)
- [Skills](/skills)
## Extensions
- [Claude in Chrome](/claude-in-chrome)
- [Claude for Microsoft 365](/claude-for-microsoft-365)
## Models
- [Mythos](https://www.anthropic.com/claude/mythos)
- [Fable](https://www.anthropic.com/claude/fable)
- [Opus](https://www.anthropic.com/claude/opus)
- [Sonnet](https://www.anthropic.com/claude/sonnet)
- [Haiku](https://www.anthropic.com/claude/haiku)
## Enterprise
- [Overview](/solutions/enterprise)
- [Claude Code for Enterprise](/product/claude-code/enterprise)
## Departments
- [Customer support](/solutions/customer-support)
- [Cybersecurity](/solutions/cybersecurity)
- [Legal](/solutions/legal)
- [Sales](/solutions/sales)
## Industries
- [Financial services](/solutions/financial-services)
- [Government](/solutions/government)
- [Healthcare](/solutions/healthcare)
- [Higher education](/solutions/education)
- [K-12 teachers](/solutions/teachers)
- [Life sciences](/solutions/life-sciences)
- [Nonprofits](/solutions/nonprofits)
- [Small business](/solutions/small-business)
## Programs
- [Startups](/programs/startups)
- [Scientists](/programs/team-plan-for-scientists)
## Developers
- [Developer docs](https://code.claude.com/docs/en/overview)
- [Developer blog](https://claude.dev)
- [Community](/community)
- [Console](https://platform.claude.com/docs/en/home)
- [Engineering at Anthropic](https://www.anthropic.com/engineering)
## Platform
- [Overview](/platform/api)
- [Marketplace](/marketplace)
- [Claude on AWS](/partners/claude-on-aws)
- [Google Cloud](/partners/google-cloud)
- [Microsoft Foundry](/partners/microsoft-foundry)
## Resources
- [Blog](/blog)
- [Claude partner network](/partners)
- [Claude Academy](https://academy.claude.com/)
- [Customer stories](/customers)
- [Events](https://www.anthropic.com/events)
- [Powered by Claude](/partners/powered-by-claude)
- [Service partners](/marketplace/service-partners)
## Help and security
- [Availability](https://www.anthropic.com/supported-countries)
- [Check files](/check-files)
- [Regional compliance](/regional-compliance)
- [Report abuse](/form/anthropic-content-reporting)
---
## healthcare-claude-by-anthropic-4f8eefd4f6.md
# Transform healthcare from insight to action
Claude helps healthcare organizations move faster without sacrificing accuracy, safety, or compliance. Less administrative work, more time with the people you serve.
Get started
[Get started](#pricing-section)
Get started
[Contact sales](http://claude.com/contact-sales/healthcare)
## Your thinking partner
From health startups to enterprise organizations, teams innovate faster with Claude.
Authorization
Insurance
Triaging
Documentation
Active
Prompt
Help me review this prior authorization for a Medicare patient needing a robotic-assisted lung biopsy. Validate credentials and codes, check coverage requirements, flag missing documentation, and draft a prior authorization recommendation.
Attachments
Fax - Medicare prior auth request
4kb
PDF
Patient history physical
5kb
DOC
### Prior Authorization Review
#### Request Summary
**Patient:** X23F2
**Procedure:** Robotic-Assisted Peripheral Lung Biopsy (CPT 32405)
**Provider:** Dr. Sarah Chen, Pulmonology Associates
**Submitted:** December 18, 2025
#### Validation Checks
##### Provider NPI
**Status:** ✓ Verified
##### CPT Code (32405)
**Status:** ✓ Verified billable
##### ICD-10 (R91.1)
**Status:** ✓ Verified
##### Coverage Policy
**Status:** ✓ LCD L38319 applies
#### Medical Necessity (LCD L38319)
##### Pulmonary nodule on imaging
**Documentation:** 2.3cm spiculated nodule, RUL
**Status:** ✓ Met
##### Tissue diagnosis warranted
**Documentation:** PET SUV 4.2, concerning for malignancy
**Status:** ✓ Met
##### Surgical candidate
**Documentation:** FEV1 78% predicted
**Status:** ✓ Met
##### Less invasive approach tried
**Documentation:** Prior bronchoscopy non-diagnostic
**Status:** ✓ Met
#### Recommendation
✓ **APPROVE**
All LCD L38319 criteria met. Provider verified.
#### Audit Trail
**NPI lookup**
- Source: NPI Registry MCP
**ICD-10 validation**
- Source: ICD-10 Database MCP
**Coverage search**
- Source: CMS Coverage Database MCP
**Documentation review**
- Source: Uploaded files
### Prior authorization
Prior authorization reviews take hours of cross-referencing while patients wait. Claude flags documentation gaps, catches who's been overlooked, and drafts requests ready for review.
Prompt
Analyze this insurance claim appeal and help me understand why the claim was originally rejected. Cross-reference the patient's medical records and coverage policy to identify whether any supporting justification has been provided. Draft a comprehensive review summary that addresses each denial reason with specific clinical evidence, cites relevant medical necessity criteria, and references any additional applicable information.
Attachments
Appeal submission
8kb
PDF
Member medical records
14kb
pdf
### Appeal Review Summary
Lumbar Spinal Fusion L4-L5
**Appeal ID:** APL-2024-0284719 \| **Member:** UHC-8847291 (62F)
**Procedure:** Lumbar spinal fusion L4-L5 (CPT 22612, 22630)
**Provider:** James Morrison, MD \| **Review Due:** January 17, 2025
#### Original Denial
##### Code: MN-401
**Reason:** Insufficient documentation of failed conservative treatment
**Policy Reference:** Section 4.2.1
##### Code: MN-403
**Reason:** Required interventional treatments not documented
**Policy Reference:** Section 4.2.3
**Gap identified:** ESI \#3 procedure note was missing from original submission.
#### Policy Criteria Review
##### Failed conservative treatment ≥6 months
**Evidence:** 9 months documented
**Status:** ✅ Met
##### Trial of ≥2 NSAIDs
**Evidence:** Naproxen, Meloxicam
**Status:** ✅ Met
##### Physical therapy ≥12 sessions
**Evidence:** 18 sessions, documented plateau
**Status:** ✅ Met
##### ≥3 epidural steroid injections
**Evidence:** 3 ESIs with diminishing relief
**Status:** ✅ Met
##### MRI within 90 days
**Evidence:** 10/28/24 (51 days prior)
**Status:** ✅ Met
##### Functional impairment
**Evidence:** ODI score 44 (threshold: \>40)
**Status:** ✅ Met
#### Recommendation
✅ **APPROVE APPEAL**
1. ESI \#3 procedure note now included — addresses primary gap from original denial
2. All policy criteria met with supporting clinical documentation
3. Progressive functional decline despite completed conservative pathway
#### Alternative Recommendations
##### Peer-to-peer review
**Recommendation:** Not required — documentation complete
##### Request additional records
**Recommendation:** Not required — all criteria addressed
##### Uphold denial
**Recommendation:** Not supported — gap resolved
#### Audit Trail
**Original claim denied (MN-401, MN-403)**
- Date: 12/02/2024
**Appeal received**
- Date: 12/18/2024
**Recommendation: Approve**
- Date: 12/18/2024
Generated by Claude \| Requires reviewer sign-off before member notification
### Insurance claims appeals processing
Denied claims cost time and money for everyone. Claude helps providers build stronger appeals, and payers process them faster.
Prompt
Here are today's patient portal messages. Sort them into clinical questions, refill requests, scheduling, and billing. Draft replies to the scheduling and billing messages for my review. For the clinical questions, surface the ones I may want to look at sooner and show me why, then summarize the rest.
Attachments
Patient Portal Batch 1
10kb
csv
Patient Portal Batch 2
9kb
csv
Content is user-generated and unverified.
Copy
[Learn about artifacts(opens in new tab)](https://support.claude.com/en/articles/9487310-what-are-artifacts-and-how-do-i-use-them)
Loading...
Content is user-generated and unverified.
Content is user-generated and unverified.
### Care coordination and patient messaging triage
Sort hundreds of patient messages a day in seconds. Claude identifies urgent issues, drafts responses for routine questions, and routes the rest to the experts.
Prompt
Here's the recording from my visit with the patient. Generate clinical documentation including the visit summary, assessment, and plan. Flag anything that needs my review before signing.
Attachments
Patient visit recording dec18
13min
MP3
Patient chart MRN 4892
14kb
pdf
### Clinical Documentation
Generated from visit recording \| Dec 18, 2025 \| 12:34 PM
#### Patient
**\[Name\]** \| **DOB:** XX/XX/XXXX \| **MRN:** 4892
#### Visit Summary
##### Chief complaint
Persistent cough and fatigue for 2 weeks
##### History of present illness
Patient reports dry cough beginning approximately 14 days ago, worsening over the past week. Associated fatigue and mild shortness of breath with exertion. Denies fever, chills, or night sweats. No recent travel or known sick contacts.
#### Physical Exam
**Vitals:** BP 128/82, HR 78, Temp 98.4°F, SpO2 97%
**General:** Alert, no acute distress
**Lungs:** Clear to auscultation bilaterally, no wheezes or crackles
**Cardiac:** Regular rate and rhythm
#### Assessment
1. Acute bronchitis (ICD-10: J20.9) ✓
2. Fatigue (ICD-10: R53.83) ✓
#### Plan
⚠️ **REVIEW:** Confirm benzonatate dosage - patient mentioned sensitivity to similar medications
☐ Benzonatate 100mg TID PRN cough x 7 days
☐ Rest and increased fluids
☐ Return if symptoms worsen or fever develops
☐ Follow-up in 2 weeks if not improving
#### Review Flags
⚠️ **Medication:** Confirm benzonatate dosage given patient history
⚠️ **Billing:** Verify E/M level matches documentation
Ready for signature: \[Sign\] \[Edit\] \[Add addendum\]
Connectors used: ICD-10 \| NPI Registry
Generated in 47 seconds from 12-minute recording
Ambient scribing for clinical documentation
With Claude's Developer Platform, health startups can build breakthrough products for medical scribing, chart reviews, and clinical decision support. Less time documenting, more time with patients.
## Powering leading healthcare organizations
"We were drawn to Anthropic's focus on AI safety and Claude's Constitutional AI approach to creating more helpful, harmless, and honest AI systems."
Read story
[Read story](https://claude.com/customers/banner-health)
Read story
Mike Reagin, Chief Technology Officer, Banner Health
"For the first time, our researchers can truly converse with our datasets - scrutinizing treatment patterns, understanding real-world disease trajectories, and generating novel insights that simply weren't accessible before."
Allison Candido, Chief Technology Officer, Flatiron Health
"Safety is non-negotiable in healthcare. Anthropic has been a clear leader in building models with strong safety foundations."
Read story
[Read story](https://claude.com/customers/qualified-health)
Read story
Justin Norden, MD and co-founder, Qualified Health
"With Claude's suite of LLMs, we deliver the quality to automate clinical documentation at scale, saving clinicians millions of hours annually and returning their focus to patient care."
Dhruv Parthasarathy, Chief Technology Officer, Commure
"Carta Healthcare's implementation of Anthropic models via Amazon Bedrock has allowed for rapid and secure deployment of the newest models. Unlocking our hybrid intelligence AI system that is turning into a complete re-invention of understanding a patient's medical record for clinical data abstraction."
Read story
[Read story](https://claude.com/customers/carta-healthcare)
Read story
Andrew Crowder, VP of Engineering, Carta Healthcare
"Commercial pharma teams are entering an era where real-time clinical intelligence and AI agents fundamentally change how therapies reach the right patients at the right time. Anthropic's models are unmatched in their reasoning capabilities and safety design. This collaboration accelerates our shared mission to ensure that clinical-grade agentic AI becomes a trusted, transformative force across global pharma."
Chris Mansi, MD, CEO and co-founder of Viz.ai
"We chose Claude, powered by Anthropic, for the strength of its model and its reputation for responsible AI. That balance of performance plus trust was a decisive factor."
Read story
[Read story](https://claude.com/customers/elation-health)
Read story
Kyna Fong CEO & Co-Founder, Elation Health
"At Pair Team, we're building the safety net of the future. Claude is accelerating how we design and ship software across healthcare and public assistance and shaping our architecture toward fully autonomous agents. That's what allows us to scale high-quality care management to millions who've historically been left out."
Neil Batlivala, CEO, Pair
"Claude handles the complex healthcare workflows our teams deal with daily accurately and securely. Our engineers are shipping faster, our consultants are delivering insights with unprecedented speed. When you're serving 4,400+ healthcare organizations, that combination of capability and velocity is critical."
David Zito, President Performance Services, Premier
"Claude's Agent SDK has unlocked a step-change in how we operate—converting rigid research processes into adaptive, compliant agents that scale across our organization. Coupled with the exceptional performance of Claude's models, it's accelerated our ability to discover, build, and deliver value. And with Claude Code streamlining our end-to-end development workflow, we're seeing faster execution, better alignment, and a significant uplift in overall team productivity."
Dr. Thomas Kelly, Co-Founder and CEO, Heidi Health
"Claude lets us punch way above our weight in healthcare AI. It powers our clinical extraction engine, cuts implementation timelines, and gives our GTM team dev-level capabilities. The faster we build, the faster clinics get out of manual chart review and back to patients."
Zach Rosen, CEO & Co-Founder, Brellium
"Home-based care is becoming the center of gravity in healthcare but the infrastructure was never built for it. Powered by Claude, our frontier AI reimagines how care is coordinated, governed, and delivered outside the hospital, turning fragmented processes into intelligent systems that can scale with patients' needs."
Vijay Kedar, Founder & CEO, Tomorrow Health
[Prev](#)
Prev
0/5
## Claude connects to your healthcare ecosystem
Coverage policies, coding systems, and clinical guidelines, all in one place.
Explore connectors
[Explore connectors](/connectors)
Explore connectors
## Built for healthcare
### AI you can trust
Claude is built on HIPAA-ready infrastructure with safety guardrails designed for healthcare. Answers can be traced back to the source, so you can verify before you act.
### Powerful and contextual
Claude understands the complexity of medical coding, payer rules, and clinical decisions. It reviews your records and policies, then shows you where the answers came from. Work that took days now takes minutes.
### Made for healthcare
Claude can connect to the data you need: CMS Coverage Database, ICD-10, NPI Registry, or PubMed. Sample skills give you a starting point to customize workflows with your organization's policies, data, and use cases.
### Your partner in better care
We're investing in healthcare for the long term with a dedicated healthcare team, an expanding network of data partners like Function, HealthEx, Apple Health, Android Health Connect, and capabilities that grow with you.
Case study
Banner Health is tackling physician burnout with Claude. See how they built an AI platform that's helping physicians focus on patient care.
Read story
[Read story](https://claude.com/customers/banner-health)
Read story
Case study
Qualified Health uses Claude to identify patients who qualify for life-saving treatments but would otherwise go undetected.
Read story
[Read story](https://claude.com/customers/qualified-health)
Read story
Case study
Elation Health reduced chart review time by 61% with Claude, helping primary care clinicians spend less time on documentation and more on patients.
Read story
[Read story](https://claude.com/customers/elation-health)
Read story
Case study
Carta Healthcare uses Claude to reduce clinical data processing time by 66% while achieving 99% accuracy.
Read story
[Read story](https://claude.com/customers/carta-healthcare)
Read story
[Prev](#)
Prev
Video
Tune in to watch Anthropic CEO and Co-founder Dario Amodei share his vision for AI in healthcare and life sciences, along with an executive customer panel.
Watch
[Watch](https://www.anthropic.com/events/the-briefing-healthcare-and-life-sciences-virtual-event)
Watch
## Get started with Claude
Healthcare customers can access Claude via Claude for Enterprise and the Claude Platform.
See pricing
[See pricing](/pricing)
See pricing
## Healthcare resources
[Advancing Claude in healthcare and the life sciences](https://www.anthropic.com/news/healthcare-life-sciences)
Advancing Claude in healthcare and the life sciences
Advancing Claude in healthcare and the life sciences
Blog
[Blog](https://www.anthropic.com/news/healthcare-life-sciences)
Blog
[The Enterprise AI Transformation Guide for Healthcare & Life Sciences](https://resources.anthropic.com/hcls-transformation-guide)
The Enterprise AI Transformation Guide for Healthcare & Life Sciences
The Enterprise AI Transformation Guide for Healthcare & Life Sciences
[eBook](https://resources.anthropic.com/hcls-transformation-guide)
[Allow Claude to connect directly to FHIR-compliant systems to read and work with your data](https://claude.com/resources/tutorials/how-to-use-the-fhir-developer-agent-skill-with-claude-code)
Allow Claude to connect directly to FHIR-compliant systems to read and work with your data
Allow Claude to connect directly to FHIR-compliant systems to read and work with your data
Skill
[Skill](https://claude.com/resources/tutorials/how-to-use-the-fhir-developer-agent-skill-with-claude-code)
Skill
[Homepage](https://claude.com)
Homepage
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
[Anthropic](https://www.anthropic.com/)
Anthropic
© \[year\] Anthropic PBC
Products
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