What does AI do across the whole company?

“Our associates are generating more than 400,000 prompts a day, and as of last week, we had over 300 AI use cases approved, all of which have good economics, of which 114 are live generative AI use cases.”

Brian MoynihanChair and Chief Executive Officer · Executive, Bank of America

“Anyone could build and deploy workflow-specific agents that could use tools. Over 4,000 agents were built using this system.”

Sharadh KrishnamurthyEngineering manager, Agent Foundation team · Leader, Stripe

“7.0 billion Agentic Work Units (“AWUs”) delivered to date across Agentforce and Slack, with 3.2 billion in Q2”

SalesforcePublished by the organization itself (regulatory filing), no named author

“we now have a number of distilled models where we take a teacher model, usually a big frontier model, then teach a specific use case to a smaller model”

Harley FinkelsteinPresident · Executive, Shopify

“We have had discrete areas where we did reduce jobs by 30% or 40%, and most of those people offered jobs elsewhere.”

JPMorgan ChasePublished by the organization itself (earnings call), no named author

“So it's really not even a question of where are we using AI, but where aren't we using AI? Because it's been an extensive usage in pretty much all departments within the company.”

Jeff HoffmeisterChief Financial Officer · Executive, Shopify

“normally that would have taken 40 or 50 people about a year to do. And we took five really smart people, AI forward thinking people building on agentic coding tools. And those five people rebuilt it in 65 days.”

AmazonPublished by the organization itself (earnings call), no named author

“our engineers use an AI-assisted case log classification tool that organizes documents and categorizes over one million monthly chat conversations.”

KlarnaPublished by the organization itself (regulatory filing), no named author

“we operate an internal knowledge chatbot, which we call Kiki, that helps employees find information in real time across internal systems.”

KlarnaPublished by the organization itself (regulatory filing), no named author

“Anthropic uses Claude to write software far more than almost any other company”

AnthropicPublished by the organization itself (post), no named author

“Very often, we found that the role of the engineers was to tell Claude “no.””

AnthropicPublished by the organization itself (post), no named author

“One week in May, we burned $1.5 million in tokens.”

Eric GlymanCo-founder and co-CEO · Executive, Ramp

“AI-native development processes at Atlassian have cut issue cycle time by nearly half, from 11.5 days to 6.7 days.”

AtlassianPublished by the organization itself (post), no named author

“MCP Gateway unlocked a scalable, fast, and consistent path to building AI agents within Uber and is currently hosting over 800 MCP servers and over 5000 tools.”

Alok SrivastavaPrincipal Engineer, Business Platform · Practitioner, Uber

“Since May 2026, 3,000+ Stripes have created 12,000 prototypes, and 25% of Stripes have created at least one prototype in Harbor.”

Cristian RiveraStaff engineer, Web Presence and Platform team · Practitioner, Stripe

“This single entry point encompasses more than 1,000 MCP servers across internal and third-party SaaS MCP”

Uday Kiran MedisettyDistinguished Engineer · Practitioner, Uber

“nearly all of our engineers now using at least one coding agent regularly”

MonzoPublished by the organization itself (post), no named author

“routinely running more than 1800 tasks every day”

MonzoPublished by the organization itself (post), no named author

“And across Stripe, more than 5,000 sessions everyday center on data analysis.”

Sharadh KrishnamurthyEngineering manager, Agent Foundation team · Leader, Stripe

“91% of our employees were never hitting their usage caps, so instead of lowering caps and driving up alerts, we're moving to cheaper defaults.”

Brian ArmstrongCEO · Executive, Coinbase

“97% of active engineers inside of Airbnb are using Agentic AI on a weekly basis so far, 90% daily.”

Christopher SansonProduct Lead, AI Developer Experience · Leader, Airbnb

“Today, 100% of Block's engineers regularly use AI in their work.”

BlockPublished by the organization itself (post), no named author

“In the last 30 days, 93% of Cloudflare’s R&D organization used AI coding tools powered by infrastructure we built on our own platform.”

CloudflarePublished by the organization itself (post), no named author

“Normally, this sort of activity might take a team of 40 people about a year to carefully build. Instead, the Bedrock team spun up a separable group of six very skilled engineers who were excited about starting over and building on our agentic coding service (Kiro)”

AmazonPublished by the organization itself (post), no named author

“More than 300 are active every week.”

Andrii YakovenkoAuthor describing Intercom's internal Claude Code rollout · Practitioner, Intercom (renamed Fin in May 2026)

“GitHub Copilot populates approximately 80% of the issue's metadata automatically”

GitHubPublished by the organization itself (post), no named author

“GitHub Copilot then posts a comment on the issue containing: A summary of the problem and user impact”

GitHubPublished by the organization itself (post), no named author

“We've spent the last few months using Custom Agents internally at Notion. We now have more agents than employees.”

NotionPublished by the organization itself (post), no named author

“we built a central internal MCP server called Toolshed, which hosts more than 400 MCP tools”

Alistair GraySoftware engineer, Leverage team · Practitioner, Stripe

“"This intelligence layer means I now have total information," he said. "I've cut my meetings in half."”

Brian CheskyCo-founder and Chief Executive Officer · Executive, Airbnb

“The big theme of the past months has been that everything is now a coding agent. Whether the visible code is your output or not, agents write your artifacts.”

Andrew AmbrosinoLead, Desktop · Leader, OpenAI

“Inside of Shopify, the amount of people I know who really write code is vanishingly small now.”

Tobi LütkeCo-founder and Chief Executive Officer · Executive, Shopify

“pre that week we had roughly 10% of the employee base was using AI with some frequency. After that week it was over 50%.”

Wade FosterCo-founder and Chief Executive Officer · Executive, Zapier

“the adoption is uneven. We have teams that are very AI-forward and have already transformed their entire workflows and then we have teams that are still experimenting in the earlier acts or have lost confidence”

Eyal BlumSoftware Engineer · Practitioner, Figma

“all of a sudden all the design docs and all the Slack messages and all the emails have gotten three or four times as long and … gotten two or three times as many emails and they say basically as much as they did before.”

Eyal BlumSoftware Engineer · Practitioner, Figma

“Figma has pivoted very strongly from being a traditional tool to an AI-first tool. But in this talk, I'm not … talk about our product, I'm … talk more about our internal organization and how our engineering org has been adopting AI agents.”

Eyal BlumSoftware Engineer · Practitioner, Figma

“we've decided we always, every PR description will start with something like that, something that I wrote by hand … could be very short to describe what this is doing and what this is doing.”

Eyal BlumSoftware Engineer · Practitioner, Figma

“The software factory starts with signals from the outside world: bug reports, internal conversations, customer feedback, business requirements. These signals get triaged and turned into planned changes. These changes are built, tested, reviewed, secured, shipped, and monitored. Monitoring that deployed software generates more signals. The entire system is a continuous feedback loop.”

FactoryPublished by the organization itself (post), no named author

“In a new world, an engineer can spin up 10 agents and those agents can work 24 seven. I mean, I'm kind of exaggerating a little bit.”

Brian CheskyCo-founder and Chief Executive Officer · Executive, Airbnb

“A significantly smaller team, using the tools we're building, can do more and do it better.”

BlockPublished by the organization itself (regulatory filing), no named author

“We have accelerated AI and data transformation with partnerships with Open AI, AWS and Accenture.”

NatWest GroupPublished by the organization itself (regulatory filing), no named author

“Humans helped prioritize 38 ideas, then agents implemented the changes, trained models, debugged failed runs, and evaluated the results.”

Ryan DrapeauMachine learning engineer, Intelligent Commerce · Practitioner, Stripe

“94% of client interactions are now digital.”

Bank of AmericaPublished by the organization itself (post), no named author

“When we moved our own work onto it, our bill fell 30% overnight.”

Eric GlymanCo-founder and co-CEO · Executive, Ramp

“In internal benchmarks, agents with access to the Teamwork Graph delivered 44% more accurate results while using 48% fewer tokens compared to agents operating without it.”

AtlassianPublished by the organization itself (post), no named author

“the vanilla setup required roughly 20 days of engineering effort, compared to 4 days when using the reusable prompts.”

David DunneSoftware engineer, Local Payment Methods · Practitioner, Stripe

“Assisted by AI, the team was able to go from a proof of concept to a fully rebuilt native app published in the app stores in just 12 weeks.”

Max Da SilvaVP of Engineering, Growth · Leader, Shopify

“We've already shipped 75 integrations this way, reducing work that took weeks or months down to hours - or minutes for the customer just trying to get unblocked.”

Shubhayan SrivastavaSoftware Engineer Intern (summer 2026) · Practitioner, Ramp

“ensures human oversight, transparency, and accountability for all outcomes”

Bank of AmericaPublished by the organization itself (post), no named author

“So as of now, we have about double the amount of users of agentic AI tools as we do active developers”

Christopher SansonProduct Lead, AI Developer Experience · Leader, Airbnb

“The agent runs our cleanup skill and one-shots it nearly every time, because the task is well scoped and always the same shape. I just review and merge.”

LinearPublished by the organization itself (post), no named author

“I used coding agents to build agents that automated part of my job.”

GitHubPublished by the organization itself (post), no named author

“Zendesk announced its intent to acquire Forethought on March 11, 2026.”

ZendeskPublished by the organization itself (post), no named author

“Dropbox saw AI usage among our engineering teams jump to over 90% this year”

DropboxPublished by the organization itself (post), no named author

“with the virtual assistant having reduced calls into the IT service desk by 50%”

Bank of AmericaPublished by the organization itself (post), no named author

“For a long time, we had a 'capability overhang': the models were capable but the products didn't fully bring that out. Now, we're seeing an awareness gap. Some people have figured out they can use Codex to monitor Slack, update Airtable, or create onboarding materials. But many others still use it for one task and then discover more uses from teammates via word-of-mouth.”

Akshay NathanEngineering Lead, Productivity team · Leader, OpenAI

“basically it just means can you create sort of like a, as automated as possible, a workflow for developing debugging. Mm-hmm. Merging, reviewing, and maintaining a code base”

Simon LastCo-founder and head of AI · Executive, Notion