Insurity says agentic AI should cut insurance core system setup time

Insurity used a May 5 message to push back hard on the latest agentic AI sales pitch in insurance core systems. The Hartford, Connecticut company said carriers should stop judging platforms by how clever the demo looks and start asking one blunt question: does the software actually cut the cost and time it takes to launch and maintain products?

That is where Insurity drew its line. The company said its AI-native policy administration system is built to slash product setup for complex commercial lines from years to weeks, a claim that goes straight at the pain points insurers complain about most, long implementations, expensive custom work and product change cycles that move like molasses. Insurity’s argument was that embedded assistants, product configurators and other agentic features inside policy, billing and claims stacks do not mean much if the carrier still needs a long project and a large services team to get live.

The stance was unusually direct for a core systems vendor, but it fit the company’s own pitch. Insurity said it serves 500-plus insurers and describes itself as a leading cloud-based software provider for P&C carriers, brokers and MGAs. In a 2025 release, it said it was trusted by 22 of the top 25 P&C carriers and 7 of the top 10 U.S. MGAs. A 2023 update said more than 400 of its 500-plus customers had been deployed in the cloud, with more than 330 in public cloud, which helps explain why it is leaning so hard on speed, configurability and deployment economics.

The company has been making that case for years. In 2023, Insurity said its configurable cloud-native platform could help insurers launch new products in as little as four weeks. A 2021 customer announcement said Columbia Insurance Group completed migration to Insurity’s Policy Decisions Evolution across all lines of business. Now Insurity is tying that same theme to AI and using it as a critique of rivals that may be layering on features without changing the underlying delivery model.

That message lands in a market where consultants are still selling the opposite dream. McKinsey published an April 2026 report arguing that agentic AI could improve productivity across insurance-core-system modernization, and BCG has said agentic AI can make core modernization shorter, less risky and more financially feasible. Insurity’s counterargument is straightforward: if AI does not reduce manual configuration, tighten governance and shorten the path from product design to billing and claims operations, it is just expensive theater with a new label.