Direct answer
Carriers should not wait for state-by-state confirmation of NAIC AI Systems Evaluation Tool Pilot participation before preparing. Because pilot scope and timelines vary by state insurance department, readiness should focus on foundational, verifiable artifacts: a centralized model inventory, model documentation mapped to common governance categories, complete audit trails, and a named owner coordinating readiness across compliance, legal, and data science. These are prerequisites regardless of which states confirm participation, and they position a carrier to respond quickly once a specific state engagement request arrives.
Core Readiness Checklist Before Regulator Engagement
The practical preparation work is documentation-centered. Insurance compliance teams should be able to identify the systems in scope, explain their governance controls, and retrieve evidence without relying on an ad hoc engineering effort.
- Build or update a centralized model inventory covering model purpose, data lineage, and version history for every AI/ML system in production, including vendor-supplied models.
- Assemble pre-deployment validation artifacts (testing results, bias analysis) and post-deployment monitoring artifacts (drift detection, override logs) for each model.
- Confirm audit trails capture model changes, access, and approvals in a form retrievable by compliance staff without engineering support.
- Document human-in-the-loop override capability and decision explainability for models used in consumer-facing decisions.
- Compile data governance records: data source provenance, third-party vendor agreements, and consumer data usage disclosures.
- Assign a single internal owner responsible for coordinating this documentation across data science, legal, and compliance ahead of any regulator request.
What the Pilot Is Intended to Address, and What Remains State-Specific
Preparation should account for the distinction between common readiness artifacts and state-specific engagement. The pilot may create requests that vary by state insurance department, but the underlying governance evidence should be organized before any particular state communication arrives.
Why State-by-State Variation Requires a Tracking Process, Not Assumptions
Pilot scope and timelines vary by state insurance department. Compliance teams should avoid assuming that silence from one jurisdiction means the work is unnecessary. A state-by-state tracking process helps the organization monitor communications, document responses, and maintain readiness for future requests.
Governance Ownership and Internal Process
- Name a single accountable function: Confirm AI governance accountability sits with a named compliance, risk, or cross-functional AI governance committee rather than being informally distributed across teams.
- Assess policy coverage: Determine whether existing enterprise model risk management policy already addresses AI-specific risks such as bias, explainability, and drift, or whether a supplemental AI governance policy is needed.
- Track regulatory correspondence per state: Establish a process for logging documentation requests and communications received from each state insurance department separately.
- Align retention policy to the strictest requirement: Confirm data and audit-log retention periods meet the longest applicable state examination or recordkeeping expectation the carrier is subject to.
Logging and Audit Trail Architecture Considerations
Regulator-facing readiness depends on the underlying logging architecture, not just document templates. The following considerations affect whether audit trails can support after-the-fact reconstruction during a regulator review.
| Evidence area | Readiness question |
|---|---|
| Model changes | Can compliance staff retrieve records showing model changes and approvals? |
| Access records | Can the organization show who accessed relevant systems and when? |
| Approval history | Can approval decisions be reconstructed after deployment? |
| Post-deployment activity | Can monitoring, drift, override, and decision records be tied back to the relevant model version? |
Common Preparation Questions
Should we wait for our state to confirm pilot participation before preparing?
No. Foundational readiness, including model inventory, documentation, and audit trails, applies regardless of a specific state's confirmed participation. Waiting risks being unprepared when a request does arrive.
Do vendor-supplied AI models need the same documentation as internally built models?
Yes. Regulators may expect the carrier to produce documentation for vendor-supplied or third-party models even when the carrier did not build the model itself. Confirm your vendor agreements include access to necessary documentation.
What if our state has issued no guidance on the pilot at all?
Absence of guidance does not indicate the pilot is irrelevant to that state. Maintain the same internal checklist and tracker, and monitor official state insurance department communications directly for updates.