Artificial intelligence is rapidly becoming part of every policy administration platform, but simply adding copilots, assistants, and point solutions to legacy systems doesn't fundamentally change how insurers operate.

In this session, we'll explore the evolution of policy administration from traditional architectures to AI-enabled platforms and discuss why the next leap requires more than layering AI onto existing technology. It requires rethinking the platform itself. We'll examine the limitations of bolt-on AI and define what it means to build a truly AI-native insurance platform: one designed from the ground up to combine insurance-specific knowledge, modern architecture, embedded governance, and meaningful automation.

Attendees will walk away with:

• How AI-native policy administration moves beyond helping users navigate complexity to performing valuable work inside core processes and changing the economics of insurance operations.
• A practical framework for evaluating AI strategies
• How AI-native platforms can reduce operational friction, accelerate change, and create measurable business value.