AI Compliance Guide for Insurance Brokers
Industry Overview
Insurance brokers and agents increasingly use AI for underwriting support, client risk assessment, claims triage, and policy recommendation — work that sits squarely inside their professional duty of care. The exposure runs two ways. First, the brokerage's own AI use creates errors-and-omissions (E&O) risk: an AI-suggested coverage gap, a misclassified risk, or a chatbot that misstates policy terms can become a negligence claim. Second, brokers must understand the AI exclusion endorsements now appearing in the policies they place — Verisk's CG 40 47 and Berkley's PC 51380 both apply broadly to AI-related claims, including unsanctioned "shadow AI" use that the insured may not even know about. The NAIC Model Bulletin on the Use of Artificial Intelligence Systems by Insurers (adopted December 2023 and issued by many states since) sets the expectation of a documented AI governance program, while state unfair-trade-practices and rating laws constrain how AI may influence pricing, eligibility, and claims decisions.
AI Use Cases & Risk Analysis
Underwriting Support
AI-assisted risk evaluation and pricing
Risk: high- Discriminatory pricing outcomes
- Errors in risk classification
- Regulatory non-compliance with rating laws
Claims Processing
Automated claims triage and settlement recommendations
Risk: high- Wrongful claim denial
- Delayed processing affecting claimants
- Bias in settlement calculations
Policy Recommendation
AI-driven coverage matching and gap analysis
Risk: medium- Inadequate coverage recommendations
- Failure to identify coverage gaps
- E&O exposure from AI-suggested policies
Client Communication
AI chatbots and automated correspondence
Risk: medium- Unauthorized representations about coverage
- Misinformation about policy terms
- Privacy violations in client data handling
Compliance Gaps to Address
State-Specific Compliance
See how AI regulations apply to insurance brokers in specific states: