The line between human decision-making and machine autonomy is rapidly blurring inside large enterprises. As AI systems gain agency—the ability to act and decide independently within corporate environments—traditional operating models, workflows, and power structures are being rewritten.

This 30-minute session explores how enterprise leaders can redesign their organizations for this shift:

"We've always done it this way" — Except now you cannot. Legacy hierarchies and siloed functions struggle when non-human actors can sense market signals, optimize resources, and execute workflows faster than cross-functional committees. We will examine which structures still work with agentic AI and which must be re-architected at scale.

"Trust the process" — But whose process is it when AI systems make consequential operational and strategic recommendations? As models show emergent behavior, traditional risk, compliance, and control mechanisms reach their limits. We will discuss governance and accountability frameworks that keep organizations compliant and trustworthy while leveraging non-human intelligence.

"Move fast and break things" — Until what breaks are the coordination patterns and shared standards that made the corporation effective. We will review cases where AI-driven change created friction, shadow IT, or misaligned incentives, and extract principles for transparent, participatory change.

At the core lies a strategic question for every enterprise: As non-human actors become visible players in your value chain, what remains distinctly human about your advantage? This talk offers concrete examples and patterns for integrating AI agency into enterprise architectures, operating models, and cultures so executives, employees, and AI agents can co-create durable, defensible business value.