The combined ratio is the north star of insurance financial performance — and AI attacks it from both sides simultaneously. It reduces operating expense through automation of manual workflows, and it improves underwriting and claims outcomes through better risk selection, faster fraud detection, and more accurate loss estimation.
Six AI insurance workflows
Underwriting Automation
Processes submission data from ACORD forms, loss runs, financials, and inspection reports — extracting key risk attributes, running preliminary risk scoring, and flagging submissions for underwriter review based on appetite criteria. ↓55% underwriter time-per-submission by handling the data extraction and initial screening tasks that currently consume most underwriting capacity on routine business.
Claims Processing
Automates first notice of loss intake, coverage verification, documentation collection, reserve setting, and routine claim resolution — handling the high-volume, procedural claims workflow that constrains adjuster capacity. ↓40% claims cycle time and ↑90% straight-through processing rate on simple claims, freeing adjusters for complex cases requiring judgment.
Fraud Detection
Identifies fraud indicators across claims data — inconsistent accounts, anomalous patterns, social media contradictions, and network connections to known fraud actors — flagging suspicious claims for Special Investigations Unit review before payment rather than after. ↓28% fraud loss rate through early identification versus post-payment recovery processes.
Policy Servicing
Handles policyholder service requests — endorsements, certificate requests, billing inquiries, coverage questions, and cancellation requests — through AI-powered service workflows that resolve routine requests without agent involvement. ↓65% service call handling time while maintaining the complete audit trail and compliance documentation that insurance service interactions require.
Risk Assessment
Enriches risk assessment with third-party data — satellite imagery, telematics, social signals, credit proxies, and catastrophe model outputs — providing underwriters with richer risk intelligence at the point of pricing decisions. Identifies risk characteristics that correlate with loss experience beyond what traditional underwriting questionnaires capture from applicant self-reporting.
Customer Communications
Automates policyholder communications across the policy lifecycle — renewal notices, payment reminders, claims status updates, and coverage review prompts — personalizing timing, channel, and content based on policyholder profile to improve retention, payment timeliness, and coverage adequacy without increasing service center staffing costs. ↑22% renewal retention.