Issues & Answers: From AI Experimentation to Measurable Impact

Why It Matters

Insurers face urgent operational and compliance stakes: focused AI can cut costs and improve efficiency, but unchecked GenAI-driven fraud and a fast-changing regulatory environment demand disciplined implementation, human-in-the-loop controls, and clear ownership to realize real business value.

Summary

Exceedance chief digital and AI officer Brandon Nuttle says the insurance industry is moving from broad AI experimentation to targeted, production-grade deployments that deliver measurable value—examples include document comparison, data extraction and claims fraud detection. He warns that successful scaling requires change management, business ownership of AI, and avoiding a perpetual pilot mindset. Nuttle highlights rising risks from generative AI, which makes high-quality fake documents and images easier to produce and shifts the fraud landscape toward attackers. He urges insurers to strengthen human judgment in processes, tighten governance, and work with regulators to ensure accountable, cross-jurisdictional AI use.

Original Description

Brandon Nuttall, chief digital and AI officer at Xceedance, said insurers must align AI initiatives to measurable business outcomes and embed governance into their deployment strategies to move beyond pilot programs and achieve enterprise-scale value.