Learning Feedback & Experimentation

Closes the governed loop: prediction → recommendation → decision → action → outcome. Measures how well recommendations performed and runs controlled experiments. The platform never auto-retrains a model or auto-rolls-out a winner — every change requires human maker-checker approval.