Your AI initiative may be failing because you’re measuring it like a legacy business

In operating reviews and boardrooms, I keep seeing the same pattern: leadership asks for rigor, teams deliver the numbers, and promising AI efforts get judged as underperforming before the organization has actually learned what it takes to make them real. Then someone pulls the plug, scales back the investment, or lets the initiative quietly expire. Sometimes they’re right. But often, they’ve just used the wrong test. The problem isn’t that leaders care about measurement. Strong measurement discipline is exactly what separates organizations that scale AI from those that accumulate pilots. T...