Lessons Learned in the Insurance AI Journey

Overview

This ReSource Pro research report draws on interviews with leaders across the US P&C ecosystem to capture what’s working, what’s getting in the way, and lessons learned. The consensus: AI adoption demands a behavioral and cultural shift, grounded in a strong operational foundation. Done right, AI augments and scales work. It doesn’t simply replace it.

Considerable resources are being poured into AI initiatives across the insurance industry, but the hardest-won lesson is clear: leveraging AI is not a technology project alone. Instead, it’s an operational change across the organization, impacting people, processes, and the way customers are serviced.

Key Takeaways //

Operations over tech. AI adoption is an operational change and cultural shift, not simply a technology implementation.
Governance first. Establishing AI governance and a strong operational foundation is required.
Data quality gap. Poor data quality is the single biggest barrier to AI success.
Human + domain expertise. Insurance knowledge and human judgment remain critical.

Authors //