AI is not failing because of bad models. It’s failing because it’s being deployed inside organizational models that were never designed for it. While leaders continue to invest in AI, 70–80% of projects still underdeliver—and the real issue isn’t the tech. It’s the structure, the design of work, leadership behaviors, and cultural norms that surround it.

This session exposes a critical blind spot in enterprise AI strategy: most organizations are running AI on top of outdated operating models that actively resist its success. From AI agents stuck in IT silos, to static roles designed for yesterday’s workflows, to leadership mindsets optimized for control—not complexity—today’s companies are mismatched with the nature of AI.

Drawing from research, real-world examples and C-suite experience across Fortune 500 companies, Dr. Garth Andrus makes the case for targeted, pragmatic rewiring—not reinvention—of your organization’s DNA. He’ll share a clear framework to help leaders:

• Diagnose where their organization is quietly blocking AI’s potential
• Shift from job-based design to adaptive, AI-human co-working and collaboration models
• Redesign decision rights, governance, and performance systems to accelerate AI value
• Prepare leadership teams to operate at the intersection of people and machines

Key takeaway: You don’t need a new org chart—you need a rewired operating model. Because in the AI era, the biggest risk isn’t technology failure. It’s leading like nothing has changed.