AI & Machine Learning

AI-enabled decision intelligence helps insurers integrate fragmented enterprise data before reserve surprises become $500 million problems.

As insurers race to deploy AI, the real competitive edge lies in building non-AI governance systems that ensure accountability and regulatory defensibility.

AI can answer questions correctly yet still fail when it doesn't recognize task shifts, context, or consequences.

AI has surged to the second-biggest perceived business risk globally, yet actual insurance losses remain surprisingly low—for now.

Insurers must move beyond explaining AI outputs to documenting the full workflow, controls and human decisions behind each action.

Property and casualty insurers that analyze testimony at scale will price risk more accurately than competitors relying on instinct alone.

Prior authorization’s new reality: AI does the evidence work, a clinician owns the call, especially for denials.

Insurance agencies investing in AI are seeing productivity gains but not yet revenue lifts—a predictable adoption phase, not a failure.