AI for the insurance market
Insurers use AI Router to accelerate the claim-to-payout cycle — without growing headcount and without losing control of decision correctness.
Use cases in production
Four places in the insurance cycle where LLMs deliver measurable acceleration.
First-touch claim intake
Data extraction from claim forms, damage photos, medical records. Preliminary classification and complexity-based routing.
Underwriter assistant
Questionnaire and medical-record analysis, discrepancy detection, decision draft. Final call by the underwriter.
Customer chat assistant
Policy questions, claim status, product match. CRM integration via function calling for personalized answers.
Suspicious-case scoring
LLM augmentation on fraud rules: narrative analysis, history cross-check, inconsistency detection in documents.
Operations at scale
What we do so an insurer can process millions of cases per year without regression.
Per-case cost
Every claim has a generation ID and exact cost. Finance sees automation unit economics against labor cost.
Medical data masking
Templates for diagnoses, insurance numbers, health data. Policy: strip everything extraneous before the provider sees it.
Rate limits and failover
Granular limits, automatic model switching. Peak days (disasters, accident waves) don't topple the system.
Human override
Any AI decision can be overridden in one click with a reason recorded. Insurers keep control of the final customer experience.
Segment pilot
Start with one product or business line. In 8 weeks — measurable impact on processing speed.