Are You Measuring AI Performance… or Decision Quality?

Most teams track AI success through accuracy, latency, or cost. Almost none measure whether decisions actually improved. An AI system can be fast, cheap, and technically correct while still making the organization worse by reinforcing bad incentives or unclear ownership. In AI transformation, performance metrics come second. The first question is whether the decision is clearer, faster, or more accountable than before. If you can’t point to a changed decision, you don’t have an AI improvement. You just have better infrastructure supporting the same behavior.

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