The property/casualty insurance industry has made artificial intelligence a top strategic priority for three consecutive years. It has invested accordingly. And it has, by most objective measures, very little to show for it operationally.

Executive Summary

The carriers that are winning with AI didn't find the right single solution. They stopped looking for one, asserts Bill Devine, co-founder and managing partner at Naitiv.

Here, he lays out three mistakes that carriers who don't succeed with AI are making— searching for a single solution, trying to fit AI into workflows designed for a different era, and building governance models around individual AI agents instead of outcomes produced by cumulative actions of many agents and humans—and proposes a new playbook built for an AI future.

BCG’s 2024 global study found that only 7% of insurance carriers have successfully scaled AI beyond pilot programs. Bain & Company’s 2025 Claims Maturity Assessment found that while 78% of P/C insurers use generative AI in some capacity, just 4% have scaled it enterprise-wide. Guidewire’s analysis puts the pilot-to-production rate at 20-30% at best.

For an industry that treats AI as an existential strategic imperative, these numbers represent a fundamental failure of execution. And most of all there is no credible public example where AI today is meaningfully accretive to any carrier’s bottom line.

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