AI doesn't fail because of technology. It fails because of the question nobody wants to ask.

Harvard Business School just confirmed it: the primary barrier to AI transformation is not model quality. Not data availability. It's the last mile — where technical capability meets organizational design.

I'm not surprised.

Most organizations never did this foundational work. Not during digitalization. And not now with AI either. They deploy tools into structures that were never built for them. They optimize processes that should never have existed. They measure productivity gains that never show up on the balance sheet — because time saved disappears into more meetings instead of real change.

This is not a technology problem. It's a thinking problem.

My conviction: organizations that introduce AI without understanding where value is created — for the customer, not the org chart — will never overcome the last mile. They'll just make it more expensive.

The work starts somewhere else. With the customer. With the whole system. With the honest question: which processes would we even build today?

Only once those questions are answered do relevant AI business cases emerge. An operating system that fits the company's value logic. And agents that actually change something — instead of accelerating existing bottlenecks.

HBR calls it "Clean-Sheet Process Redesign." I call it: understand first, then design. For years now. Not because it's a trend. Because it's the only thing that works.