AI is a people problem disguised as a technology problem.
The companies winning with AI aren't the ones with the best tools. They're the ones who've built the human capability to use them. I help enterprise companies move from AI experimentation to enterprise capability.
The problem I've solved is AI upskilling at scale.
The AI initiatives I see stall in the gap between awareness and capability. Executives understand that the technology matters. Teams have access to the tools. But the organizational muscle isn't there. Knowing which problems to point AI at, building the internal champions, generating use cases that fit the actual business: these don't show up on their own.
That's the gap my work closes.
Two MIT Press books, The Technology Fallacy (2019) and The Transformation Myth (2021), came out of a multi-year research partnership with MIT Sloan Management Review and Deloitte that surveyed 20,000+ executives and interviewed 150+ leaders. The frameworks from that research anchor my consulting practice.
Recent AI clients include Coca-Cola, Shaw Industries, Holder Construction, and credit unions piloting agentic AI. Broader digital transformation work over the past two decades includes Walmart, MetLife, John Deere, Caterpillar, and Deloitte.
Four shapes of engagement: one-day AI Bootcamps, quarter-long Custom AI Accelerators, the Digital DNA Diagnostic, and custom work for boards and executive teams.
The technology will keep changing. The capability is what compounds.