Name: Operationalizing Agentic AI in Claims Without the Audit Risk
Start: 2026-06-23T14:00:00.000-04:00
End: 2026-06-23T15:00:00.000-04:00

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Claims leaders are under pressure to "go agentic" to reduce cycle times, lower loss adjustment expense, and scale automation. At the same time, regulators, auditors, and internal risk teams are asking a different question: Can you prove how every decision was made?

That tension shows up quickly in real-world claims operations. Many insurers are still constrained by a foundational issue: the data and documents entering the process aren't reliable enough to trust. Complex, multi-format, and often handwritten inputs introduce uncertainty at the very first step. When agentic workflows run on inputs they can't trust, the outcome isn't straight-through processing — it's straight to exceptions, rework, and audit risk.

This panel brings together perspectives from across the ecosystem to explore what it actually takes to move from AI pilots to production-grade, audit-ready claims decisions.

Claims Operations leaders, Claims Transformation and Automation leaders, Claims IT, Data and AI leaders, and Risk, Compliance and Governance stakeholders.