AI agents can complete individual tasks faster while the end to end workflow remains slow.

Employees are still checking outputs, correcting decisions, resolving ownership, managing exceptions and deciding what happens next. The result is a gap between agent productivity and measurable enterprise ROI.

Session 1 of The Agentic Enterprise looks at where that value disappears and how leaders can establish a clearer baseline for agentic workflows before scaling them.

We will cover:

• Where AI productivity gets lost between the agent and the completed workflow

• Rework, review, handoffs, exceptions and the coordination cost around AI

• How to choose the right workflows for agentic automation

• How ownership, decision rights, review and escalation affect performance

• What leaders should measure to establish an ROI baseline

Speakers: Wolf Magdelinic (CEO of WORK-SELF) and Prof. John O’Dwyer