How an exception agent handles a shipment before a human gets involved

What this covers

The run starts at the signal layer. Tracking events, appointment windows and order promises arrive from three systems that do not agree with each other, so the first job is not intelligence, it is reconciliation into one shipment state the agent can reason about.

The agent then evaluates the exception against policy: how much dwell is tolerable, which customers have hard windows, which carriers can be re-tendered without a rate exception. Most of what looks like judgement is written policy the operations team already had, only now it is machine readable.

Where it acts, it acts inside the systems the business already runs, a re-tender in the TMS, a note against the order, an updated ETA to the customer. Where the decision costs money or a relationship, it drafts the action and routes it to a human with the reasoning attached.

Every step is written to an audit trail: the inputs it saw, the policy it applied, the action it took and who approved it. That record is what makes the workflow reviewable, and what lets the team widen the agent's authority over time.

What you will learn

• Reconciled shipment state comes before any agent behaviour.
• Most agent judgement is existing operational policy made explicit.
• Actions land in the TMS and order system, not in a chat window.
• Escalation is a designed path, not a failure mode.
• The audit trail is what earns the agent more authority.

Chapters

1. 00:00The exception, as operations sees it
2. 02:10Reconciling shipment state across three systems
3. 05:40Policy the agent is allowed to apply
4. 09:05Acting inside the TMS
5. 11:30Where it stops and asks a human

Technologies and concepts