The Second Half of Agentic AI

Why a framework to build agents is necessary, but not the same thing as AI doing insurance work.

Almost every agentic AI announcement in insurance this year has described the same thing: a framework to build, deploy and govern agents.

Model-agnostic runtimes.

MCP servers.

Low-code studios.

Developer assistants.

Registries and audit trails.

This is real progress, and it matters.

An insurer that cannot build, govern and observe its own agents has no durable AI program.

But a framework is the means, not the outcome.

It answers the question “how would we build an agent?” It does not, on its own, answer the question a claims leader or a chief underwriter actually asks: “what work is the AI doing for my team on Monday morning?” This is an AI business value gap.

That gap between a platform to build agents and AI already doing insurance work is the second half of the agentic story.

It is the second half that is harder to demo, harder to build, and far more valuable to the business.

It is where Majesco chose to start.

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