Case Study: Jeppesen saves engineering hours with LlamaIndex

Jeppesen (a Boeing Company) Saves ~2,000 Engineering Hours with Unified Chat Framework

Jeppesen, a Boeing company, faced a challenge with its internal teams independently and redundantly developing AI chatbots. This led to duplicated work, compliance burdens, and long development cycles of around 512 hours per agent. To address this, they turned to LlamaIndex to help create a unified solution.

Using LlamaIndex's open-source agent framework, Jeppesen built a templatized Unified Chatbot Framework. This solution slashed agent development time by 87%, from 512 hours to just 64 hours per agent, saving an estimated 1,792 engineering hours initially. The LlamaIndex-powered platform provided a secure, standardized foundation that has been adopted by over 10 production products across the organization.

Jeppesen

Divya Basu

AI Architect