This panel explores scaling AI from proof-of-concept to enterprise-wide transformation in insurance. With over 1,380 AI mentions across P&C discussions and 498 mentions across 188 L/A/B companies, AI has moved beyond experimentation, yet many carriers remain stuck in pilot mode.

The discussion focuses on what differentiates carriers successfully scaling AI from those trapped in endless testing, emphasizing concrete ROI metrics for underwriting versus claims processing implementations. Key challenges include integration complexity with legacy systems (271 integration-focused P&C conversations), data quality issues that kill AI projects, and the talent versus technology constraint in AI adoption.

The panel addresses balancing innovation speed with emerging AI regulations, using AI to differentiate customer experiences beyond operational efficiency, and identifying success indicators versus failure warning signs. Looking to 2026, the discussion aims to predict what AI capabilities will become "table stakes" for carriers and what IT leaders should start planning now.