Report

Building an AI Governance Model That Doesn’t Slow You Down

Business units at insurance carriers are building and deploying AI agents.
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CIOs who have gone looking for a complete inventory have generally not found one. The tools are enterprise-licensed and readily available; they deliver real productivity gains. The governance frameworks most carriers have in place were designed for IT-built systems and don’t cover business-built agents.

This creates a gap with real consequences. NAIC Model Bulletin accountability provisions don’t distinguish between who built the tool. A citizen-built agent that touches a coverage decision, suitability determination, or claims workflow carries the same regulatory exposure as an IT-deployed system, whether it was built by a developer or a claims analyst. AI-related litigation in insurance is growing. The carriers without documented frameworks face increasing exposure.

This report gives CIOs a practical framework for governing citizen AI. It maps four consequence tiers that determine appropriate oversight levels, describe the federated model that enables governance without making IT a bottleneck, and outline the technology, organization, and talent changes required to put it into practice.

Clients of Datos Life, Annuities, & Benefits and Property & Casualty service can download this report.

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