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Halcyon Insurance

A retrieval-grounded copilot that drafts underwriting rationales, with every claim traceable to the policy document it came from.

Case 03.3Insurance2026Applied AI
Screenshot of the Halcyon Insurance site homepage

The problem

Underwriters spent much of their day reading policy documents to assemble rationales by hand. An earlier vendor pilot had produced fluent summaries that occasionally invented clauses — which made it unusable in a regulated process.

What we did

  • Built the evaluation harness first, scored against a set of underwriter-graded cases
  • Grounded every generated claim in a retrieved passage with a visible citation
  • Added a human review step that captures corrections as future evaluation data
  • Versioned prompts and models so any output could be reproduced on demand
Results

What actually changed

Figures agreed with the client and measured against the baseline we recorded before the work started.

4.1×Faster first-draft rationale
100%Generated claims carrying a source citation
PassedInternal model-risk governance review
More work

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