From AI Pilots to Real Transformation: Some Lessons Learned on Turning Ideas into Impact

Many AI initiatives in insurance progress rapidly from concept to pilot, yet relatively few achieve measurable business impact or sustainable adoption at scale. Drawing on lessons learned from AI transformation programs and real-world use cases, this session will explore the factors that turn experimentation into lasting value.

We will examine three common challenges and highlight some practical approaches to addressing them:

1. Selecting use cases that solve meaningful business problems and deliver tangible outcomes
2. Building technology foundations that provide reliable results while adapting to the rapid evolution of AI capabilities
3.  Driving adoption by ensuring teams embrace and effectively use AI-enabled solutions