Logistics AI agents manage supply chains, optimize routes, control warehouse operations, and coordinate fleet movements. These agents interact with physical systems where software errors translate to real-world consequences: misrouted shipments, warehouse equipment collisions, and supply chain disruptions.
Agents that control warehouse robots, conveyor systems, or autonomous vehicles must have safety controls that account for the physical world. Software-only safety checks are insufficient when the agent can cause physical harm.
Movement boundaries. Define geographic and spatial limits for agent-controlled systems. An agent managing a warehouse robot should not be able to direct it outside its designated zone. Authensor's policy engine evaluates movement commands against defined boundaries.
Speed limits. Enforce maximum speeds for agent-controlled vehicles and equipment. Policy rules reject movement commands that exceed safe velocities for the current environment.
Emergency stop integration. Ensure the agent respects emergency stop signals and that the safety system can halt agent actions instantly when physical safety is at risk.
Agents that make supply chain decisions affect inventory levels, delivery times, and costs. Safety controls prevent:
Overordering. Cap maximum order quantities per SKU, per supplier, and per time period. Require approval for orders that exceed historical norms by a configurable percentage.
Route optimization errors. Validate that optimized routes respect vehicle capacity, driver hours-of-service regulations, hazardous materials routing restrictions, and delivery time windows.
Vendor management. Restrict which vendors the agent can place orders with. New vendors require human approval. Authensor's policy engine maintains the approved vendor list.
Logistics agents update tracking information, inventory counts, and shipment status. Incorrect updates cascade through the supply chain.
Implement validation rules that check for: physically impossible tracking updates (a package in two locations simultaneously), inventory adjustments that create negative stock, and status transitions that violate the expected workflow sequence.
Track agent decisions against operational outcomes. Authensor's Sentinel engine monitors for: rising exception rates, unusual order patterns, routing decisions that deviate from optimal paths, and inventory discrepancies between agent records and physical counts.
Logistics agents must comply with transportation regulations (DOT, FMCSA, hazmat rules). Configure policies that embed regulatory requirements into the decision framework, blocking actions that would violate transportation law.
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