Treat rules and model changes as production changes requiring ownership, testing and traceability.

A reviewer should be able to determine which evidence and configuration produced a particular output.

A proposed file-level audit record should include:

• Source document and photograph identifiers.
• Input receipt times and the production evidence cut-off.
• Relevant source references for material estimate assumptions.
• Estimating configuration and price-list identifier where applicable.
• Carrier-rule version and approved exceptions.
• AI model or service version and relevant workflow configuration.
• Human edits, reviewer identity and the reason for substantive overrides.
• Output versions and acceptance history.

Keep the audit record useful rather than indiscriminately retaining sensitive data. Legal and security teams should approve retention, access and disclosure rules.

For changes, maintain a controlled test set containing prior failures and difficult cases. Compare old and new outputs, approve deployment, monitor live results and retain a rollback route.

The NAIC model bulletin includes expectations concerning validation, testing, auditing, model drift and third-party documentation. Those expectations support asking for reproducible governance evidence, subject to the applicable state framework. (content.naic.org)

Do not equate a detailed AI explanation with a verified evidence trail. Test whether its cited source exists and actually supports the output.