In late 2025, researchers found that 95% of GenAI pilot projects fail to scale, and only 39% of organizations realized any increased revenue from their AI investments. 

The problem is not lack of investment. It is lack of control. 

As insurers experiment with AI agents across claims, underwriting, and customer service, core platforms and vendors are rapidly embedding their own AI capabilities. This leaves insurers managing a growing number of disconnected agents across different systems. The result is limited visibility into performance, higher governance risks in a regulated environment, and inconsistent experiences for customers and employees. 

In this session, we will focus on practical answers: 

• The Scale Gap: Why most insurance AI projects stall at the pilot stage
• Agent Sprawl: How fragmented tools create hidden operational risks
• Establishing Control: Achieving visibility through orchestration and governance
• High-Value Starts: Practical scenarios for FNOL and proactive claims follow-up 

We’ll explore how an orchestration approach or a Conductor layer can connect these disconnected agents while maintaining the security, auditability, and seamless experience required for insurance operations.

Sponsored by: Druid AI