Who should decide? A framework for AI delegation in supply chain operations
16 Sept 2026
- Match AI autonomy to the decision. Learn how decision frequency, the cost of errors, and model blind spots can help determine whether a task should be human-led, AI-recommended, or AI-autonomous
- Design around different failure modes. Understand why AI tends to make consistent, systematic errors while humans are more variable but better able to recognize unusual context and exceptions.
- Measure outcomes, not just overrides. Recognize the “discipline effect,” where AI recommendations can influence human decisions even when humans retain formal authority, and learn why organizations should audit decision outcomes rather than relying only on override rates
