A signed proof of delivery is the difference between an invoice that gets paid and one that gets disputed. In most fleets the POD arrives late, arrives unreadable, or does not arrive at all, and nobody notices until the customer short-pays. This playbook shows how an AI agent validates every POD the moment it lands, what it checks, and how Rigby builds it on the McLeod TMS.
The POD is the document barrier between delivery and cash. Catch the bad ones at delivery, not at dispute.
Five steps, running on the TMS and document tools you already use.
Pull each POD image and document from the TMS or email as it arrives.
Extract the signature, date, receiver, and reference numbers, and assess legibility.
Compare the POD against the load and order record in the TMS for the right shipment, quantity, and consignee.
Detect missing signatures, illegible scans, wrong or mismatched documents, and missing PODs before the invoice goes out.
Clean PODs clear to billing; exceptions go to the right person with the load reference and the issue attached.
Validating a document against a source of truth is exactly what AI does well. We flag the problems. We do not decide the money.
For a 300-plus truck, 9-terminal 3PL, Rigby pulls delivery records and document files directly from the McLeod TMS API, checks each document for legibility, and detects mismatches against the order record, flagging problems before they become billing disputes. The same validation engine powers carrier invoice auditing. Case study coming soon.
Line-level 2-way and 3-way matching, flagged exceptions, no money movement.
PlaybookHow AI sorts the shared mailbox, files PODs and remittances, and flags what needs a human.
PlaybookHow AI catches overbilling and unbilled accessorials, line by line.
Flat fee, live in days. Rigby validates and flags. Your team keeps approvals and money movement.