Where AI creates logistics liability
A customer service rep asks Copilot to “update Acme Foods on tomorrow's delivery and cc the carrier.” Copilot pulls an appointment from yesterday's TMS export, drafts a confident email, and is one click from send. The load was re-routed overnight. Nobody approved the new commitment — and there is no log tying the message to the source record.
In logistics, the damage is immediate: missed appointments, chargebacks, and carriers acting on stale instructions.
Failure modes ops managers recognize
Stale appointment data
AI confirms a pickup window from a spreadsheet or TMS view that hasn't synced since the last exception.
Rate confirmation without authority
Sales or dispatch uses AI to accept a lane rate above the rep's delegated ceiling — email becomes the contract.
Wrong party on the thread
Customer update cc's a carrier contact pulled from an old CRM note — sensitive freight details leak across parties.
Policies a 150-person brokerage can enforce
- Customer- or carrier-facing email about timing, rate, or appointment → dispatcher approval
- TMS appointment or load status change → logged; writes above threshold need manager sign-off
- Actions on loads not updated within your sync window → held for review, not auto-sent
- Audit trail exportable for shipper audits and insurance claims
Your team already runs on commitments and exceptions. AgentGovernance applies those rules when Copilot or ChatGPT tries to act — without disabling the speed AI provides.