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AI Strategy

Deciding what to build and what to skip: how to choose AI use cases, consolidate the tooling, and avoid the projects that only sound good in a slide.

Most AI strategy fails not because the ideas are bad, but because there are too many of them and no way to choose. These posts are about making that choice deliberately: building a use case portfolio instead of a wishlist, and saying no to the cases that don’t deserve to exist.

The aim is a small set of bets you can actually deliver, supported by tooling the whole organisation can rely on.