Rescuing a stalled GenAI pilot with forward deployed engineers
How an FDE pod could take an insurer’s promising-but-stuck claims summarisation pilot into production in weeks.
The situation
An insurer built a generative-AI prototype that summarises claim files. Demos impressed leadership, but six months later it is still not in production: accuracy on real files is inconsistent, it isn’t connected to the claims system, and security has not signed off.
Our approach
Embed with adjusters
Two FDEs sit with claims adjusters to see how summaries are actually used and where the prototype fails.
Fix the data
Improve document extraction and add the claim-system data the summaries were missing.
Build an evaluation set
Turn real claim files into a test set and measure accuracy with adjusters before every release.
Integrate and secure
Embed summaries in the claims workspace with SSO, audit logging and a security review.
Hand over
Pair with the insurer’s engineers, document everything and transfer ownership.
Typical technology
What success looks like
Metrics we would agree with you up front and track throughout:
- Summary accuracy on the evaluation set
- Adjuster adoption
- Time spent reviewing a claim file
- Weeks from engagement start to production
- Defects after handover
This is an illustrative scenario showing how Inspired Infotech approaches this type of problem. It does not describe a specific client, and actual approach and outcomes depend on each organisation’s systems, data and goals.
Services behind this scenario
Forward Deployed Engineering
Senior engineers embedded with your teams to ship AI and data solutions into production, fast.
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