Underwriting that explains itself.
Underwriting assistance, claims triage, agent enablement, and fraud signal review — designed for an industry where every decision has to be defensible to a regulator and a complaints process.
Six practical patterns for insurance.
- 01
Underwriting copilot
Submission summarization, missing-information detection, and reference to policy language with explicit traceability to the source documents.
- 02
Claims triage
First-notice-of-loss intake, severity routing, and document-pack preparation. Keeps adjuster judgment intact.
- 03
Agent and broker assistants
Quote-prep, suitability narratives, and product Q&A grounded in the carrier's own product library.
- 04
Fraud signal review
Investigator-facing assistants that summarize prior claims and surface anomalies without auto-deciding anything.
- 05
Policy and form drafting
Endorsement language, compliance review, and version control for carrier-specific form libraries.
- 06
Customer service
Member and policyholder service with disclosure handling, recording-aware transcription, and escalation rules.
What we know about your world.
State insurance department supervisory expectations on AI use, including the NAIC AI model bulletin and state-level adoption.
Fair lending and unfair-discrimination frameworks that apply to underwriting and claims decisions, with bias testing built into the evaluation harness.
Carrier MGA, MGU, and reinsurance contractual constraints that often dictate what data can move where.