Insurance AI Vendor Assessment Template

Four-section due diligence questionnaire for AI vendors used in regulated insurance functions.

Actuarial, compliance, and procurement teams at insurance companies evaluating third-party AI vendors for underwriting, claims, pricing, fraud detection, or customer service applications.

Insurers are fully responsible for regulatory outcomes of vendor-supplied AI — but most do not have a structured process for evaluating what vendors actually provide. NAIC examiners are specifically looking for evidence of third-party AI oversight, and ‘we trust our vendor’ is not an examination-ready answer.

A four-section due diligence questionnaire covering: Section A (AI model documentation — intended use, training data, validation, limitations), Section B (fairness and bias testing — methodology, protected class coverage, proxy discrimination), Section C (data practices — data residency, training data use, retention), Section D (security and compliance — SOC 2, pen test, incident response). Includes a vendor information block for documentation tracking.