AI Metrics Baseline: Prove Your Feature Works Before Scaling

An AI metrics baseline is a small set of before-and-after measurements that determine whether an AI workflow improves, degrades, or just gets more expensive. Without it, teams rely on opinions like 'the model seems better' instead of data. The article outlines five metric categories—cost, quality, speed, adoption, and business impact—to guide decision-making.