- P&C insurers need to improve speed and efficiency in underwriting and claims without weakening accountability or decision quality.
- Not every insurance decision is appropriate for autonomous execution, making it critical to define where AI can act, recommend, or require human control.
- Poorly governed autonomy can increase pricing, settlement, fairness, documentation, and adverse consumer outcome risk.
- As agentic AI interest grows, insurers face increasing pressure to make informed use case decisions that balance business value, risk exposure and appropriate autonomy across use cases.
Our Advice
Critical Insight
Agentic AI delivers value in P&C insurance only when insurers replace isolated pilots with cross-functional use case prioritization, turning experimentation into governed investment decisions that can scale across underwriting, claims, and other high-impact workflows.
Impact and Result
- Define where agentic AI can act, recommend, or remain human-led across underwriting and claims.
- Align IT, business, risk, and compliance to evaluate and prioritize defensible, high-value use cases.
- Establish governance, oversight, and escalation thresholds so selected use cases can scale responsibly.