Why do AI transformation programmes fail? Most fail for the same reason legacy IT projects failed before them: technology gets bought before the operating model is redesigned, executive attention drifts after the launch, and nobody owns the change long enough to make it stick. The AI layer adds new failure modes on top of the…
Most digital transformation projects disappoint, and almost never for the reasons named in the post-mortem. Why it is a people problem wearing a technology costume, and what the successful ones do differently.
Every productivity tool promises to save you time. The Jevons Paradox suggests the opposite happens. What it means for how we should actually use AI.
What you knew five years ago may no longer be reliable today. The problem is that the confidence often does not depreciate at the same rate as the knowledge.
Organisations with excellent project tools still deliver late. The dashboard shows green. The project is red. This is never a tooling problem.