Case Study: Windmill scales AI agents and workflow orchestration with Inngest

How Windmill's AI Agent helps manage thousands of employees using Inngest

Windmill, an AI-powered management platform, faced challenges with serverless timeouts and scaling its integrations when handling high volumes of webhook data, which caused database strain and API rate-limiting issues. They turned to Inngest to build a reliable, event-driven system for their numerous third-party integrations and for their AI agent, Windy, to manage slow and brittle LLM APIs.

By implementing Inngest, the Windmill team leveraged its developer experience, observability tools, and specific features like retries, rate limiting, batching, and prioritized queues. This solution allowed them to smoothly process millions of daily events, prevent database outages, and build swift, reliable AI workflows, ensuring they could scale their product without sacrificing performance or user experience.

Windmill

Max Shaw

Co-founder