Atlas Mutual · Insurance · 2025
An underwriting copilot that underwriters actually trust
Cut quote turnaround from three days to under four hours by putting a retrieval-backed assistant inside the existing underwriting desk.
- Median quote turnaround
- 3d → 4hMedian quote turnaround
- Citations accepted by underwriters
- 94%Citations accepted by underwriters
- Inference cost after routing work
- -41%Inference cost after routing work
Services
- AI engineering
- Platform & cloud
Stack
- Next.js
- TypeScript
- Postgres
- AI SDK
- Vercel
Duration
14 weeks
The problem
Atlas had a working prototype that impressed executives and terrified underwriters. It answered confidently, cited nothing, and was wrong often enough that no one would sign a quote based on it.
What we did
- 01Built an evaluation set from 1,200 historical quotes before touching the product surface.
- 02Rebuilt retrieval over the policy corpus with span-level citations rendered inline.
- 03Added an abstain path — the assistant is allowed to say it does not know, and is scored on doing so.
- 04Introduced model routing so routine classifications stopped hitting the frontier model.
Where it landed
The copilot now drafts the first pass on the majority of submissions, with an underwriter reviewing and signing. Atlas’s own platform team has owned the codebase since month five.
“They spent the first three weeks building the thing that told us whether we were wrong. Nobody else pitched that, and it turned out to be the whole project.”
Next step
Tell us what you’re building.
A 30-minute call with an engineer, not a salesperson. You will leave with a straight answer about scope, cost and whether we are the right people for it.
Or email hello@nexa.com · Austin, Texas · United States