The control layers that make AI usable in real-world logistics
· Source: smartmaritimenetwork.com
In short
AI projects in logistics often fail due to unclear decision authority and accountability rather than technical issues. The article outlines practical governance frameworks including evidence standards, control layers, and workflow integration to ensure AI outputs are properly classified as drafts, recommendations, or commitments. Successful implementation requires keeping humans as final decision owners while using AI to reduce coordination friction and highlight operational gaps.
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Tags: logistics, governance, workflow, automation, freight, compliance