When an AI agent acts on our behalf, who answers for the outcome?

A working agent demonstrates capability. Trust requires something more: clarity about what it may do, who owns its decisions, and what evidence justifies giving it greater autonomy. The gap between those two is where developers and business leaders need to work together.

In this keynote, Dux Raymond Sy explores how to close the AI Trust Gap without losing the opportunity agents create. Through practical examples, he connects the engineering choices behind permissions, data, oversight, and recovery to the leadership decisions that make adoption possible.

His Frontier Leadership approach brings five moves together: measure outcomes, make ownership explicit, establish trusted data, set guardrails, and model adoption. Attendees will leave with three questions for their next agent launch: What are we trusting it to do? Who owns the consequences? What evidence earns it more autonomy?

The central idea: delegating work to AI makes human accountability more important.