Practical writing from the team building the pipeline: technology choices, real insurer challenges, and what it actually takes to automate a travel claim end to end.
The mechanics behind Insurteam's policy extraction pipeline: how clause identification, coverage mapping, and condition parsing work at machine speed without hallucinating the key terms that actually govern a claim.
The first notice of loss is where manual work accumulates fastest. Before any adjuster sees the file, data has already been keyed in twice.
When the coverage trigger is a verifiable event and the payout is a fixed schedule, there is no judgment required. The claim settles itself.
The real cost of manual claims handling is not the salary per claim. It is the delay, the error rate, and the attrition of the people doing it.
We trace a single flight-delay claim from the policyholder's FNOL submission to the settlement decision returned to the insurer's core system.
What it means in practice for a claims automation platform to operate as a data processor under Swiss and European data protection frameworks.
High volume, structured data, verifiable triggers. Travel insurance has the properties that make automation tractable now, not eventually.
The integration is not the hard part. Here is what to expect from the REST API contract and how it sits in front of your existing system.
STP is a goal many insurers name and few achieve. The technical and operational conditions that make it possible for travel claims specifically.
The same clause constructions cause the most errors and the most back-and-forth with policyholders. What makes them hard and why automation handles them consistently.
General-purpose LLMs generate plausible-sounding coverage analysis that is often wrong in ways that matter. Here is the architecture we built to avoid that.
Why we started with travel insurance, what the pipeline does, and who we are building it for.
A 30-minute demo covers a real flight-delay claim from FNOL intake through to settled decision. No slides, just the system running live.
