Case Study: Day AI builds a reliable AI-native CRM with Inngest

How Day AI built a CRM that can reason using Inngest

Day AI, a Sequoia-backed startup building an AI-native CRM, needed to create a complex, reliable system to process data from numerous webhooks and third-party services. Their challenge was orchestrating long-running, interdependent workflows involving LLMs and external APIs without being overwhelmed by traffic spikes or system failures. They turned to Inngest and its event-driven architecture and durable workflows to build this mission-critical foundation.

Inngest provided the solution by acting as the orchestration hub for Day AI's entire operation. Using Inngest's durable workflows, event replay, and flow control features like debouncing and concurrency limits, the team built a resilient system that processes data reliably, manages API rate limits, and prevents overload. This allowed Day AI to confidently ship sophisticated AI assistants that run reliably in the background for long periods, saving development time and ensuring a robust product for their users.

Day AI

Erik Munson

Founding Engineer