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AI strategy for insurers
Find the use cases worth funding, separate the ones with real value from the ones that are demos, and decide what to build versus buy.
Insurance + AI Strategy
Insurance has been my work for more than two decades, across underwriting, claims, reinsurance, and technology delivery. For the last several years I have led AI product work for insurance, including responsible AI in production claims systems. I help insurers decide where AI should go, build it in a way they can defend to regulators, and keep it accountable after it goes live.
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Find the use cases worth funding, separate the ones with real value from the ones that are demos, and decide what to build versus buy.
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Turn a carrier's problem into a product roadmap, deliver it through MVP-driven releases, and make sure the people who use it adopt it.
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Put explainability, data quality monitoring, retraining rules, and clear human ownership of decisions in place before an examiner asks for them.
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Help carriers connect policy, claims, and risk data to the platforms they already run.
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Design insurance-specific benchmarks and evaluation frameworks to measure accuracy, reliability, and hallucination rates before a model reaches production.
Property and casualty carriers, insurtechs building AI products for insurance, and intermediaries and regulated businesses that need AI they can explain.
If you are building something in insurance AI and want a second view on strategy, governance, or delivery, book a 20-minute call.
I am also open to a select full-time leadership role if it is the right fit.
Email: [contact address]