Harness Engineering in Logistics: Engineering Trust and Human Control
· Source: logisticsviewpoints.com
In short
The fifth installment of a six-part series argues that trust in agentic AI for logistics should be engineered through verification rather than persuasion. It proposes a harness architecture that separates reasoning from verification, defines an explicit human control plane with decision rights, and turns AI governance into executable thresholds, validation gates, and escalation paths. Fail-closed controls, reversibility-based autonomy, and measurable trust metrics are presented as the basis for deliberately expanding autonomous decision-making in logistics operations.
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In the issue of week 40, 2026: Supply Chain AI Advances, but Data, Governance and Capacity Set the Pace
Tags: logistics, governance, agentic-ai, automation, verification, autonomy