Predictive ML Scoring

Predictive ML scoring applies trained machine learning models to your strategy data to produce calibrated estimates, for example the probability an initiative hits its targets, its risk level, or its likely return. Because the models learn from historical outcomes, the scores are grounded in patterns rather than opinion.

This is different from a generative AI copilot. A copilot drafts text; a predictive model tells you the odds. The two are complementary, but only the second gives leaders a number they can weigh in a decision.