Most organizations don’t fail at AI because they lack ideas. They fail because they start in the wrong place.
It usually begins with momentum. Leadership teams gather, inspired by what AI could unlock. Use cases emerge quickly: automation, copilots, predictive models, optimization. The list grows. Investment follows. Activity accelerates.
And yet, despite all this movement, something doesn’t click. Because what looks like a strategy is often just a collection of initiatives.
