Risk and claims professionals have faced the same problem for years: too much data and too little insight. Embedded analytics and AI in your RMIS change that equation.

This session explores how AI applies to core RMIS workflows: auto-classifying claim details, populating forms, summarizing adjuster notes and medical records, and forecasting claim outcomes before they escalate. Hear directly from risk and claims leaders navigating this shift firsthand as they share what's working, what's aspirational, and where the gaps remain. Patrick Eslick, vp of product management at Riskonnect, explains what an intelligence layer built for risk and claims data delivers and how it differs from off-the-shelf AI tools. Leave with a practical case for investing in AI for your operation.