Case Study: Aomni accelerates AI-driven sales planning with Inngest

Productionizing AI-driven sales flows using serverless LLMs

Aomni, a provider of AI-driven sales planning tools, faced challenges in productionizing its complex multi-step AI agent workflows. Their system relied on intricate chains of large language model (LLM) calls for tasks like content analysis and sales prompt generation, which required robust orchestration, reliability, and state management that traditional job queues could not provide.

By implementing Inngest's platform for durable event-driven workflows, Aomni gained automatic state management, built-in retries, and comprehensive audit trails for their LLM calls. This infrastructure-free solution allowed their engineers to focus solely on refining their AI models and business logic. As a result, Aomni was able to bring its intelligent sales account planning product to market faster and more reliably.

Aomni

David Zhang

Chief Executive Officer & Co-founder