AI Production Gap

Every major carrier has at least one AI pilot running right now. A fraction of those pilots will reach full production in the next eighteen months.

The gap is not about the technology failing. It is about the unglamorous work that sits between a successful demo and a reliable production system: data quality, model governance, integration with legacy platforms, compliance review, and the trust of the people who have to use the output daily.

Carriers that are closing this gap share a few characteristics. They have executive sponsors who track the pilot-to-production conversion rate as a KPI. They have dedicated model risk management frameworks that do not treat AI as a special case exempt from normal controls. And they have integration teams with enough systems experience to connect new models to old data without building a new layer of technical debt.

The enthusiasm for AI in insurance is justified. The timelines projected in most board decks are not.