Underwriting Automation uses software rules engines and machine learning to automate insurance underwriting decisions. Instead of a human underwriter reviewing each application, a system applies rules and models to approve/decline/refer applications and set pricing. You design decision logic (rules), build or train predictive models, and integrate them into underwriting workflows. Common automations: instant approval for low-risk applications, automated pricing based on factors, detection of fraud patterns, and referral to specialists for complex cases.