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The dashboards are lighting up: usage is climbing, licenses are spreading, and the monthly AI bill keeps growing. Unfortunately, none of that actually tells you whether the AI is working. New guidance from OpenAI makes the point plainly: usage and spend tell only part of the story. Leaders need to see the work behind the spend, and connect it to real outcomes. Usage is not value It is an easy trap to fall into, because a chart of active users or tokens looks like progress, and it feels reassuring in a board deck. But token volume is a measure of activity, not value. A short answer can be worth a great deal, and a long one can be worth nothing. The useful question is different: how much useful work are we getting per dollar? Pick one measurable pilot So how do you tell whether it is working? Not with a bigger rollout, but with one carefully chosen, measurable pilot. Choose a repeatable task with clear boundaries, and give it an owner. Write down today’s baseline, meaning the time, cost, or quality you get right now, and set a defined window to evaluate it. Treat the pilot as a decision-making exercise rather than a showcase, so that at the end you either expand it, change it, or stop it based on the evidence. The scorecard that tells the truth That decision needs a scorecard, and it does not have to be complicated. Track five things: how long the work takes, the