Business & Ethical AIMcKinsey: 80% of leaders measure AI ROI with pre-deployment baselines
The text suggests that measuring AI impact in companies still feels experimental, but about 80% of leaders who set pre-deployment baselines report meaningful improvements after using AI. Experts recommend recording key workflow metrics before and after AI is added to see clear changes in speed, quality, and reliability. Small test sets may catch early problems, but larger tests and ongoing monitoring appear needed to track real results over time. Continuous measurement is important because workflow changes or model updates might reduce early gains.













