Decisions are not predictions: the architectural mistake at the heart of most enterprise AI programmes.

Most enterprise AI estates are still wired as if they’re producing predictions to be looked at. The actually-interesting use cases produce decisions to be acted on. The architectural and governance consequences of that distinction are profound — and almost always overlooked until the second line catches up. This stub was carried over from the static site. Replace this body with the full article in Markdown.