Human-agent decision rights matrix

A deployable approach must explain what it optimizes, what it leaves uncertain and when it should defer. Those questions guide this brief on human-agent decision rights matrix.

Practitioner lens

A responsible implementation of human-agent decision rights matrix includes a fallback policy, approval thresholds, model-version records and a way to explain infeasible or conflicting recommendations.

First experiment

Document assumptions and version the data, code, parameters and scenario set for reproducibility.

This is an original educational brief. It is a starting point for discussion, not a claim that one technique fits every supply chain.