AI agents are transforming how enterprises operate, unlocking work that traditional automation could never touch. They excel wherever tasks require interpretation, imperfect context, and judgment — turning messy, ambiguous inputs into reliable outcomes at scale. The key to capturing that value is knowing where to point them first.

In this session, we explore how to identify great-fit tasks for AI agents, and how to operationalize them inside enterprise workflows. We'll walk through five high-value patterns where agents consistently deliver value.

What you'll learn:

• How to distinguish tasks that are best suited for deterministic automation from those best suited for agents
• Five common patterns for high-value enterprise problems that agents excel at automating
• The key foundational ingredients for operating agents at scale
• How to enforce human-in-the-loop controls for agents assisting with high-stakes decisions

Who should tune in:

Business, technology, and operations leaders evaluating where AI agents fit inside enterprise workflows and how to operationalize them reliably.

• IT, AI, automation, and digital transformation leaders prioritizing which agent use cases to pursue
• Line-of-business and operations leaders looking to reduce manual analysis, accelerate intake, and improve case resolution
• Centers of Excellence, process owners, and governance teams defining how agents should be deployed, controlled, audited and scaled