Insurance Leaders Summit at ITC 2026
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Why Transformations Stall in the Race to Operationalize AI

The AI pilot phase is over. Seventy percent of insurers believe the next phase of competition will be defined by how quickly they move from experimentation to enterprise execution. Yet only 8% believe they are ahead of their peers today and few are investing in areas that drive competitive advantage. 

The challenge is no longer access to AI technology. It is the ability to operationalize AI fast enough to not lose out to competitors. 

This summit examines why AI initiatives stall as carriers move from conservative use cases to enterprise-scale transformation — and how leading insurers are redesigning workflows, governance models, operating structures, token economics, and data architecture to accelerate scalable AI across underwriting, claims, servicing, and distribution.

Core Content Areas

  • Why AI Workflows Break at Scale: 
    Operationalizing AI across underwriting, claims, servicing, distribution, and enterprise operations while overcoming workflow fragmentation, operational silos, and disconnected execution models. 
  • Governance Without Gridlock: 
    Balancing AI innovation with explainability, accountability, regulatory complexity, human oversight, and enterprise risk management. 
  • The Workforce Reality of Enterprise AI: 
    Why organizational structures, talent models, workforce strategies, and change management have become critical barriers to successful AI transformation. 
  • The Data and Architecture Gap: 
    Addressing fragmented systems, disconnected information environments, orchestration challenges, and institutional knowledge limitations that slow enterprise AI execution. 
  • The Economics of AI Transformation: 
    Managing token costs, infrastructure scaling, modernization pressures, ROI expectations, and the long-term economics of operationalizing AI at enterprise scale. 

Preliminary Agenda

*Schedule subject to change