Deploy a team of AI agents to run logistics decisions autonomously. Tune their autonomy and confidence gates, keep humans in the loop, and capture savings without letting over-automation cause incidents.
AI agents run logistics decisions autonomously. More autonomy captures more savings - until accuracy slips and costly incidents appear.
Agents auto-resolve events up to a confidence gate and escalate the rest. Past about 80% autonomy, error-driven incidents (far costlier than a saved decision) erode savings; guardrails and human-in-the-loop push that frontier out.
Set autonomy and the confidence gate where the marginal saving still beats the marginal risk of an incident.
