AI & Machine Learning

Insurance carriers and the plaintiff bar are waging an AI arms race reshaping litigation economics.

Commercial insurance clients now expect agents to articulate how AI strengthens account management, moving expectations beyond traditional placement.

Life insurers are advancing from AI experimentation to execution, prioritizing ecosystem integration to address escalating retirement security demands.

Insurers rushing to adopt AI risk missing a crucial step: building the underwriting fundamentals that make technology effective.

Regulators aren't asking if your AI works—they're asking which named human was accountable when it didn't. If there isn't one, the person on the hook may be you.

Moving AI from pilot to production requires carriers to master data infrastructure, production architecture, and user experience design.

Agentic AI's rapid deployment in underwriting and claims is outpacing the governance infrastructure insurers need.

The most important question in claims AI is not whether a model performs well on average. It is what happens when it does not.