Turn AI Adoption into AI Impact
88% of enterprises use AI. Only 6% have anything to show for it on the P&L.
That gap isn’t a technology problem. It’s an operating model problem.
The Question Every Executive Is Asking
You’ve deployed the tools. Your teams are experimenting. So why isn’t it showing up in the numbers?
Because AI doesn’t create value by existing inside your organization. It creates value when you redesign how work truly flows: who owns outcomes, where AI acts, which decisions stay human, and how you govern all of it at the speed the business moves.
Most companies never get there. They bolt AI onto workflows built for a different era and wonder why performance doesn’t budge.
The Insights Inside this White Paper
Cprime’s latest white paper, AI-First Transformation and Operating Model Design, lays out exactly what separates the 6% from everyone else, and gives you a practical path to join them.
You’ll get:
- The real data behind the adoption-impact gap, drawn from McKinsey’s global AI survey and MIT’s Project NANDA research
- The six dimensions that determine whether your AI transformation succeeds or stalls
- A proven starting point, the Minimum Viable Operating Model, for capturing value on one or two critical workflows before scaling
- The blueprint for scale and how to turn early wins into a Target Operating Model built for the whole enterprise
This isn’t theory. It’s a working model, backed by evidence, built for leaders who need results this year.
Stop Waiting for AI to Pay Off on Its Own
The organizations pulling ahead are the ones who changed how work gets done. Get the white paper and see exactly how they’re doing it.