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San Francisco, CA (May 11, 2026) — Scribe, the leader in Workflow AI, today announced it has surpassed $100 million in annual recurring revenue (ARR), reaching the milestone just months after announcing its Series C funding round and a wave of new products: Scribe Optimize, Agents, and an MCP Server that gives agents direct access to Scribe's workflow intelligence. The announcement comes as organizations across every industry race to develop agentic AI strategies — before quickly realizing they lack the foundational ingredient those strategies require: a deep, structured understanding of how work actually gets done across their business.
Most enterprises assume more data means better AI, but the evidence says otherwise. In a recent benchmark report, agents given access to a full company knowledge base performed 10% worse than agents with structured workflow data from Scribe — because irrelevant data creates noise that degrades output quality and confuses agents. What agents actually need isn't more data. It's the right data. Structured workflow data from Scribe improved output quality by 71% over a baseline with no tools, and combining it with a knowledge base actually made things worse.
The enterprises who get AI right won't be the ones who fed it the most data — they'll be the ones who understood that an agent with bad context is even more dangerous than an agent with none.
"To say the early returns on enterprise AI adoption have been disappointing is an understatement. We simply aren't giving AI models enough context to drive success," said Scribe CEO and co-founder Jennifer Smith. "Agents need to know how work is done — how teams do their jobs, what's repeatable, what isn't, what’s broken, and what’s the best way. Without that context, it's just guessing. Scribe is becoming the workflow source agents turn to first for that understanding."
Every organization has hundreds of thousands of workflows, yet they live in the heads of their employees, making it impossible for teams — and AI agents — to know how work should be done. Scribe is the only company that provides that layer of understanding at enterprise scale. Scribe Capture automatically documents how work gets done, turning day-to-day processes into step-by-step guides teams and agents can follow. Scribe Optimize analyzes workflows in the background to show how work actually happens, where friction slows teams down, and what to improve next. Together, Capture and Optimize give Scribe something most AI solutions do not have: the instructions teams and agents need to do work correctly, and the workflow context they need to understand how work should improve.
With the recent announcement of Scribe’s MCP Server, workflow intelligence can now be accessed inside compatible AI tools. Agents can pull step-by-step instructions from Capture, and workflow context, friction points, and improvement insights from Optimize — giving them access to real business know-how at the moment work happens.
An Unmatched Workflow Data Advantage
Since launching five years ago, Scribe has been embedded in more than 600,000 organizations worldwide — including 94% of Fortune 500 companies — and has documented 15 million workflows across over 40,000 software applications.
That volume of structured workflow data has produced something no competitor can replicate: a deep, proprietary understanding of how knowledge work actually gets done. This rare dataset has made Scribe central to the AI strategies of the world's leading enterprises, like Havas Media Network, Klaviyo, New York Life, and Schneider Electric.
In a crowded AI market, Scribe has built the context layer enterprises need to make AI work. The value is not just capturing knowledge or analyzing workflows; it is giving agents a source of real business context instead of incomplete data, static docs, or generic model output.
Helping Enterprises Use AI to Figure Out How to Use AI
Despite record investment in AI, most enterprises are caught in a deployment gap: spending is up, but measurable value remains elusive. The instinct has been to apply a familiar playbook: pair powerful models with top-tier consulting engagements and forward-deployed engineers. But applying an old paradigm to a new problem isn’t the solution in the AI era. The enterprises that are closing the gap aren't adding more human effort to the equation — instead, they're using AI to get better at using AI.
Scribe Optimize maps an organization's workflows in under five days, delivering immediately actionable insight at a scale no consulting engagement can replicate. With full workflow context, you can answer any question about your business, identify the top opportunities for automation and AI, and power your agents.
At the center of this is Scribe's “Skills Center” for AI agents — a living library of how work gets done, built from human workflows and continuously refined based on agent performance. When agents need to execute a task, they call Scribe first. Scribe analyzes how they perform, and updates the skills accordingly, creating a feedback loop that gets smarter over time.
“Few organizations are seeing ROI from their AI investments today. But Scribe customers are," said Logan Bartlett, Managing Director at Redpoint Ventures. "What makes this milestone different is how they got here — years of building a platform people actually use, compounding into something durable. They've solved the prerequisite most enterprises are missing: a deep understanding of how their business actually works. That's the foundation everything else gets built on.”
The results for Scribe customers have been impactful:
- Customers decrease process discovery by over 90%
- Customers have saved over 35 hours per person per month
- 98% of customers report fewer mistakes when using Scribe
- Organizations onboard new hires 40% faster
- 71% better AI agent performance
- Companies using Scribe achieve higher accuracy, compliance, and customer satisfaction scores
"Scribe is a critical partner in our transformation journey,” said Brian Williams, Head of Continuous Improvement at New York Life. “Scribe helps us see how work actually happens today — and how to make it even better tomorrow. It’s the AI foundation for how we’ll continue to evolve and lead."
Reaching $100 million ARR is a signal — enterprises aren't just experimenting with AI anymore, they're demanding results. AI without context doesn't work, and Scribe is the only company that can provide it at enterprise scale.
To learn more about Scribe, please visit scribe.com.
About Scribe
Scribe is the Workflow AI platform helping more than 600,000 organizations worldwide capture, understand, and optimize how work gets done. Scribe's AI-native platform automatically documents workflows, transforms institutional knowledge into structured data, and surfaces actionable insights — giving enterprises the context layer they need to scale AI improvements across every team and agent.
Trusted by teams at New York Life, T-Mobile, LinkedIn, HubSpot, and Northern Trust, Scribe is used by 94% of the Fortune 500 to work smarter, faster, and deliver exceptional results. The company is backed by leading technology investors and is headquartered in San Francisco.
Visit scribe.com.
