What Is an AI Strategy (and Why Most of Them Do Not Work)
Ninety-three percent of AI pilots never reach production. The problem is rarely the technology.
Start with the right questions, not the right tools. The organizations that succeed with AI share one trait: they begin with focus and end with decisions.
These articles help you build an AI strategy that starts with the work and produces evidence, not slide decks.
Ninety-three percent of AI pilots never reach production. The problem is rarely the technology.
Most AI roadmaps run to 2028. Most AI experiments need ninety days.
Your organisation does not need to be "AI-ready" before starting. You need to start in order to become AI-ready.
Twenty minutes sitting next to someone yields more than a month of meetings about AI.
The fastest route to a failed AI project is starting with the solution.
Your team is already using AI. The question is whether you know it.
Long-term strategic planning. Does that still work when the next quarter feels like a distant future? It might be time to stop planning in chapters and start testing in cycles.
AI is not a god lowered from the ceiling to resolve your plot. It is a tool. And like any tool, it only works when you know what you want it to do.
Only 4% of Dutch businesses are fully prepared for AI. The other 96% are not failing because they lack ambition. They are failing because readiness is not a strategy problem. It is an action problem.
Europe isn't out of the AI race. We're just looking at the wrong half of it.