As insurers scale AI across the enterprise, robust governance is essential. The core challenge comes back to trust: Can you rely on AI-driven outputs in reports, controls, and day-to-day decisions?
This session explores how insurers can build trust in AI within their organizations – standardizing how AI agents are onboarded, managed, and governed across functions – so CFOs, CEOs, and teams can confidently use AI with evidence, controls, and clear ownership.
Expect to learn:
• How to build internal trust in AI: Standardize how AI agents are requested, approved, and onboarded with clear ownership and runbooks across finance, underwriting, claims, and operations
• The key to fostering accountability in AI-driven decisions: Implement measurable controls around data quality, performance, drift, and incidents – plus data/decision lineage and reconciliation to downstream reports and KPIs
• What “trusted AI” looks like to leaders: The sign-off criteria CFOs and controllers need, how risk and compliance oversee usage, and what gives frontline managers confidence – backed by practical assets you can take back to your teams
