Every carrier is being pitched agentic AI. Far fewer are shown what it costs to run once it's live - or who controls the data once it does.
Suresh Chandrasekharan, Co-founder & CTO at Neutrinos, is joined by insurance leaders already running agentic AI in production across Claims and Underwriting operations. They'll move past pilot-stage promises to what actually changed - operationally and financially - once agents went live: built on the carrier's own data, evaluated against real outcomes before scaling, and running inside an architecture the insurer controls, with data processed and retained in-region.

The conversation centres on ROI that survives scrutiny: how a governance layer decides which model handles which task and where it runs, why that single decision drives both token economics and data residency at regulated scale, and what cost-per-case really looks like, once volume is real.

Come for the architecture, stay for the unit economics.