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How Jeppesen (a Boeing Company) uses LlamaIndex

512 to 64 hours

“Development time reduced from 512 to 64 hours per agent (~87% savings)”

As published on llamaindex.ai. Captured by usedby on Oct 7, 2026.

What happened

Jeppesen's enterprise AI engineering team built an internal Unified Chatbot Framework on LlamaIndex's open-source event-driven workflows so teams across Boeing can build and deploy chatbots and agents from templates and a config file. It replaced siloed, duplicated bot development with a shared, secure, compliant platform.

Summary written by usedby from the source page, in English. The figures are those of LlamaIndex and Jeppesen (a Boeing Company), not ours.

  • 1,792“1,792 collectives hours already saved”
  • ~4,900 hours“Projected to save ~4,900 hours annually across the org after the global rollout is complete.”
  • 10-11“Jeppesen’s, Unified Chatbot Framework is now onboarded with 10-11 production products, leveraged by internal teams across Boeing.”

With UCF, Jeppesen’s team can build agents with ~50 lines of code and a JSON config file—plugging in LLMs, toolchains, and retrieval pipelines with full control and security.

From the page. llamaindex.ai, captured Oct 7, 2026

Other frameworks felt rigid. LlamaIndex gave us the control and flexibility we needed to meet enterprise constraints.

Divya Basu, AI Architect, Jeppesen (a Boeing Company). Source, captured Oct 7, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 7, 2026.

  • The figure: 512 to 64 hoursCheckedPrinted word for word on the page, near the name of Jeppesen (a Boeing Company).
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Jeppesen (a Boeing Company).
  • Jeppesen (a Boeing Company) uses LlamaIndexCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

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