Jorora · Freight Invoice Audit
Freight invoice audit before AP remits.
Same job as Freight Audit: upload or forward the FTL packet, match invoice ↔ rate confirmation, return Approve / Needs Review / Reject with an audit trail.
How it works
One problem. One decision path.
AI extracts. Rules decide. Your desk stays in control of payment.
- 01
Ingest the invoice packet
Carrier invoice + rate confirmation. Add POD, BOL, or lumper when charges need proof.
- 02
Audit against authorized terms
AI extracts messy PDFs. Deterministic rules decide what is payable — not a chat summary.
- 03
Clear, hold, or dispute
Approved bills hand off to accounting. Exceptions leave reasons your desk can defend.
Documents compared
What goes into the packet
Bring the documents the pay decision actually needs — nothing more.
- Carrier Invoice
- Rate Confirmation
- Proof of Delivery (when detention applies)
- Bill of Lading / lumper (as needed)
Why trust the decision
Explainable before cash moves
Trust comes from a trail — not from promising magic savings.
- Pre-pay by design — the gate sits before the wire.
- Rules are versioned and explainable for AP and Controllers.
- Failed technical extractions do not burn credits.
Why AI is more reliable here
Read with AI. Decide with rules.
Carrier PDFs are messy. Pay authorization should not be.
- AI reads carrier PDF variance; rules own the pay decision.
- Same inputs produce the same decision class.
- Built for FTL email/PDF workflows — no TMS required.
FAQ
Freight Invoice Audit questions
Checking what the carrier billed against what your desk authorized (usually on a rate confirmation), plus evidence, before accounts payable pays.
Yes — this page targets the search phrase “freight invoice audit.” The live product is Jorora Freight Audit (pre-pay FTL validation).
Not for broker self-serve pre-pay. Jorora validates the packet; you keep paying from your existing AP stack.
Most FTL packets return in minutes. You always review before acting on Approve, Needs Review, or Reject.
Keep going
Related problems and guides
One problem per page — deepen with playbooks when you need them.

