AI in insurance underwriting is changing how carriers evaluate risk, price policies, and respond to applicants.
Machine learning models now read documents, score exposures, and flag anomalies in minutes, while underwriters focus on complex judgment calls.
This guide explains how the technology works in practice, where it delivers value, which challenges slow adoption, and how insurers can implement it responsibly and at scale.