AI Governance for Insurance Checklist

Many insurers have deployed AI. Fewer have the governance structures (the oversight committees, the audit trails, the incident processes) to back it up. Without defined accountability and regulatory alignment, even well-designed deployments can create unexpected risk – and as regulators increase their scrutiny, gaps are harder to ignore.

This checklist gives insurance leaders a practical tool to assess where their AI governance stands and what needs to change. Covering board-level oversight, acceptable-use policies, model monitoring, vendor controls, and consumer protection requirements, it's designed to help your team move from ad hoc AI adoption to a scalable, defensible approach.

with this checklist, you can:

• Evaluate your governance structure and AI inventory – confirm accountability, escalation paths, and documentation are in place for every deployed model
• Strengthen risk management and model oversight – from bias testing to decommissioning procedures and human-in-the-loop requirements
• Assess regulatory, consumer protection, and vendor governance – identify gaps and confirm your contracts reflect your AI responsibilities