This session will examine how organizations can move beyond rule-based automation to build multi-agent orchestration frameworks that optimize collaboration and service delivery. The discussion will explore the use of conversational BI agents and autonomous downstream trigger actions that proactively detect and address issues without human intervention—achieving faster resolution times, delivering tailored recommendations, and saving hundreds of thousands of work hours.

We will also highlight how an explainable agentic ecosystem can be designed with human oversight at key decision points to maintain trust and control. Attendees will see how AI-driven agents can uncover operational inefficiencies, generate tailored growth strategies, and streamline decision-making processes for faster, data-driven actions.

Attendees will learn:

• How to design and implement multiple AI agents to address complex, high-volume challenges with minimal human involvement.
• Methods to combine personalization at scale with explainable AI to secure trust and user adoption.
• Governance and access-control considerations when deploying agentic AI in enterprise environments.