Harness Engineering in Logistics: The Missing Layer in AI
· Source: logisticsviewpoints.com
In short
The article argues that while the AI industry has focused on model capabilities, logistics requires a broader systems approach called harness engineering. The harness encompasses governing instructions, tool permissions, workflow sequence, persistent state, deterministic validation, escalation rules, and observability so that model reasoning cannot silently become operational disorder. In logistics, where software decisions produce physical and financial consequences, this engineered envelope is where durable competitive advantage will reside.
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In the issue of week 38, 2026: AI Moves Closer to Supply Chain Decisions, but Data and Returns Still Lag
Tags: logistics, systems engineering, automation, exception management, agentic AI, supply chain