How Stripe Built Kai on Deep Agents in 1 Week
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Stripe built Kai, a company-wide AI productivity agent, in one week using LangChain, LangGraph, and Deep Agents. Kai serves every Stripe employee with context-aware assistance for tasks like data synthesis, document drafting, and analytics — connecting to internal data warehouses, Slack, and Google Suite. The architecture uses Deep Agents as a foundational harness handling tool-calling loops, middleware (filesystem, sandbox, summarization), and state management, with a Stripe-specific layer on top. Kai grew from 296 to over 5,000 users in four weeks, now reaching 83% weekly active usage across 60k+ sessions. Business functions like Marketing (95%) and GTM teams (87%) show the highest adoption. Future work includes scaling skill selection beyond 1,000+ skills, governance guardrails, behavioral personalization, and multi-user collaborative sessions.
Table of contents
Building an in-house agent harnessA context-aware AI coworker for every Stripe employeeDeep Agents gave Stripe the agent foundation, so the team could focus on their domain-specific workflowsHitting Kai’s quarterly adoption target in one week5.7K Impressions1 Comment