AI Governance
Every AI system the insurer uses inventoried, tested and documented, ready for the regulator’s first question.
Why it matters
Models sit in pricing, claims, fraud and vendor tools with no single inventory; when an examiner asks how each was tested, teams spend weeks chasing owners and contracts.
How the solution handles it
Agents find every AI system in use, write a cited model card, run outcome tests across groups, collect vendor evidence, and map each system to the NAIC bulletin, Colorado and other rules. A compliance officer reviews the gaps and signs the attestation.
How an AI system moves
Six specialist agents find, document, test and map every AI system to the rules; a compliance officer attests and signs.
What it reads, and what it hands back.
What goes in
- Model and system registers
- Vendor contracts and model documentation
- Test and monitoring results
- AI policies and board minutes
- Bulletins and rules (NAIC, Colorado, NY, EU)
What comes out
- AI system inventory with owners
- Model card per system, cited
- Exam-ready evidence pack
- Signed attestation
Who uses it
The difference, in numbers.
Every figure is labelled: a target the solution is built to, an estimate, a typical published result, or a proven one.
Sources: NAIC Model Bulletin on AI Systems (Dec 2023; 25 states + DC by Aug 2026) · Colorado 3 CCR 702-10 · “Target” = design goal, measured in the live solution · “Typical” = typical industry figure · “Estimated” = our estimate
6 specialist agents. One person decides.
More in this division.
Every examiner request answered from cited files, with sampled claims and policies tested in hours.
Rate & Form FilingsEvery rate and form filing checked against state rules and past objections before it goes to SERFF.
Statutory ReportingEvery statutory schedule tied back to the ledger and source file before the officers sign.
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