Meet Stripe's Knowledge AI Platform

Summary

Stripe built Kai, a knowledge AI platform for non-engineering work that existing no-code and coding agents could not support with Stripe’s required data security and workflow specificity. It serves tasks including account research, incident triage, revenue modeling, compliance reviews, and data-warehouse queries, while adapting to different tools, data sources, outputs, and definitions of completion. Kai is organized into surface-agnostic APIs, AgentStudio for domain teams to build and govern agents, and shared execution environments with per-session Kubernetes sandboxes, multi-tenant virtual filesystems, access controls, and long-session state management. The platform connects to more than 1,000 skills and tools and supports web, Slack, embedded, and custom application experiences. Within two weeks of its April launch, most of Stripe was using Kai; it now has 83% weekly active users, and reported effects include 25,000 annual hours shifted from administrative work and higher sales activity and deal creation among Account Executives.

Takeaways

1. 1

   Kai is a service rather than a single application: its APIs provide customized views across the hosted web app, Slack, internal tools, browser extensions, and custom applications.

2. 2

   The execution environment uses a secure per-session Kubernetes sandbox and multi-tenant virtual filesystem, allowing agents to create artifacts, run analytics, and maintain state across sessions that can reach hundreds of turns.

3. 3

   Kai reports 83% weekly active users and has shifted 25,000 hours per year from administrative work to revenue-generating work; Account Executives using it produced 2x the sales activity and closed 39% more deals in the compared weeks.