If one insurance trend defines this year, it’s “Agentic AI.” As the market transitions from the early experimentation with generative AI to the operational reality of autonomous, agent-based systems, the focus has shifted to implementation: how can “agents” be effectively embedded into underwriting workflows to deliver measurable performance gains?
Underwriting faces a dual challenge: the need to process submissions faster and more accurately, while maintaining disciplined risk selection and control. Yet most insurers are still constrained by fragmented data, legacy systems and manual workflows. Agentic AI offers a potential shift in capability. By coordinating multiple autonomous agents to perform multi-step tasks – such as triaging submissions, detecting anomalies, and optimizing portfolios – these systems promise to accelerate underwriting without compromising rigor. But moving from proof-of-concept to production remains a major hurdle for most insurers.
Join Datos Insights Senior Principal Carey Geaglone, SEND Head of Revenue Brad Tabor, and Zurich Head of Underwriting Operations Amy Nelsen as they examine what’s really happening as insurers begin to deploy Agentic AI in live underwriting environments – the opportunities, early results and operational realities
You’ll Learn:
- How agentic AI supports end-to-end underwriting workflows, not just user interfaces
- Where early adopters are seeing measurable gains in speed, productivity and risk outcomes
- What insurers need to address around data quality, governance and trust before scaling
- Why the industry is now prioritizing ROI from AI over experimentation
- How to design a roadmap from pilot to production with the right governance in place
Why Attend?
- Discover how leading insurers are moving from proof-of-concept to production
- See where autonomous agents are delivering real performance gains in underwriting
- Learn from experts guiding the transition to agent-based systems at scale
