Starting the Countdown to Agentic Insurance

Celent

Timing: 1:00 pm - 5:00pm

Overview:

Though it appears that insurance companies can't get enough AI, as the reality sets in for what full conversion to AI-powered operations will take, knowing where to start is daunting. Early implementations have made meaningful impact in labor-intensive data entry and document processing, but decisioning capabilities will require years of iteration to match the rigor and compliance of a century of human labor. Insurers and vendors need to work from the same roadmap to deliver insurance to a future where technology optimizes policyholder service. 

Who should attend

  • Carriers looking for clarity on where to best apply AI for long-term value

  • Insurtech founders who want to learn more about how the industry views tech value

  • Vendors transitioning to a new model for digitalization delivery

Agenda

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Tuesday, September 29, 2026
  1. Welcome and introductions
    Speakers
    Speaker image for Karlyn Carnahan
    Karlyn Carnahan, Head, North America Insurance - Celent
  2. Insurtech: Are we so back?
    Has AI revitalized the Insurtech startup ecosystem? This session will bring together funders and founders, along with data-driven research, to find the contours of the Insurtech sector amid AI hype -- …
  3. Payments in insurance: Bridging the gap between policyholders and carriers
    This session presents the results of a dual-perspective survey exploring how policyholders experience insurance payments—both billing and claims—compared with what insurers are currently offering. Fol …
  4. Governance takes center stage
    The sheer amount of decisions in insurance underwriting, claims, and other processes means there's a lot that AI can handle. But what's appropriate -- or legal, or ethical -- to turn over to the machi …
  5. AgeAI in insurance: From experimentation to early scale
    This session opens with fresh survey insights on how insurers across life and P&C are progressing with agentic AI—highlighting where adoption is accelerating, where it’s stalling, and which use cases …
  6. When is it time to abandon incrementalism?
    "More than three years, less than twenty” can be used to rationalize many different paces for transformation. But like it or not, computing is changing forever. This future-focused discussion will deb …
  7. Wrap up and next steps