Automated claims triage, underwriting copilot, fraud detection, broker portal — all on open-source LLMs deployed inside your insurer’s perimeter. Loss data, customer data, broker data stay yours.
Six agents shaped to insurance operations.
Inbound claim parsed, severity scored, routed to fast-track / standard / specialist queue in <30s.
Pulls applicant context from internal + open data, drafts indication, surfaces capacity questions.
Cross-claim graph analysis spots cluster fraud, staged accidents, recycled photos. SIU notified.
Generates IPID, KID, country-specific policy docs from product config. Always reviewed by compliance.
RAG over your underwriting guidelines + product matrix. Brokers get policy answers in seconds, not days.
EIOPA, ČNB, BaFin notice triage. Tagged by product line, summarised, queued for compliance.
Four reference patterns shaped for EU insurer environments.
First-Notice-Of-Loss intake parsed, photos analysed, repair shop matched, settlement offered same day for low-complexity claims.
−4 day cycle time+22 NPSWhen a weather event hits, the agent pre-classifies cluster claims by postcode & cause. Adjusters land in the right zip code on day 1.
−3 days responseCross-claim graph identifies suspicious networks across vehicles, addresses, claimant relationships. SIU works the surfaced top 5%.
+18% fraud caughtBrokers query the underwriting matrix in natural language. 70% of inbound questions answered without a human.
−70% inbound desk loadOpen-source LLMs on your infrastructure. Loss-ratio data never trains a competitor’s model.
Audit-friendly architecture, immutable agent action log, segregation by line of business.
Guidewire, Sapiens, Tia, Helios Pojišťovna, custom mainframes via REST/SOAP.
Pin a model, freeze it, audit it. Repeatable inference for regulator review.
Pick auto MTPL, property, or travel. Two-week POC on your hardware against your historical claim data.