Why Insurers Want Agentic AI as Connective Tissue

Health insurers have spent years accumulating software: claims engines, prior authorization tools, member service platforms, and analytics systems. The problem, according to Healthcare Dive, is that these investments rarely talk to each other, leaving data and workflows fragmented across the organization.

The pitch for agentic AI is different from the usual point solution. Instead of adding another isolated tool, agentic systems are designed to act as connective tissue, with AI agents coordinating tasks across the systems insurers already own. In practice, that means an agent could pull data from multiple platforms, trigger actions, and move a process forward without a human stitching each step together by hand.

For payers, the appeal is operational. Administrative complexity drives cost, and orchestration promises to reduce manual handoffs across functions like claims and authorizations. The open question is execution: whether agentic AI can reliably coordinate legacy systems at scale, and whether insurers can govern autonomous agents making decisions that affect members.