AI & Machine Learning

Auto and trucking litigation now drives 33% of carrier spending as nuclear verdicts climb, demanding proactive management over reactive response.

Generic AI can summarize and extract data, but vertical AI is needed to provide the context and governance required by high-stakes decisions.

Life insurers carry decades-long risk locked in contracts they can't revise, yet lack systems to continuously test the assumptions beneath them.

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.