Automated Expense Auditing in Logistics

AI auditing engines ingest real-time data from your TMS, WMS, ELD devices, and EDI networks to validate every invoice against domain-specific rules - carrier contracts, detention policies by facility, fuel surcharge formulas, and regulatory requirements like HAZMAT 49 CFR - before expenses hit the general ledger. Instead of manual cross-referencing across five systems, your finance team receives a pre-audited exception queue ranked by risk, with supporting evidence already assembled: BOL, load assignment, ELD record, contract clause, and regulatory basis. The system auto-approves routine invoices that match baseline patterns and flags only the exceptions requiring human judgment, compressing approval cycles because nobody assembles evidence by hand - and catching overcharges a sampled manual audit never sees.

Yes. All processing occurs in your secure environment or dedicated private cloud instances. We encrypt data in transit and at rest, implement role-based access controls aligned with your GL permissions, and maintain full audit trails for compliance with FMCSA documentation retention windows and customs record-keeping requirements. Your carrier contracts, pricing terms, and internal cost allocation logic remain proprietary and isolated within your deployment.

We work the C.O.R.E. Method, with a working system live inside the first 100 days. Weeks 1-3 audit the work: system integration and data mapping across Oracle TMS, MercuryGate, ELD feeds, and EDI networks. Weeks 4-10 build: model training using your historical invoices and contracts, then pilot testing with your finance team on a subset of carriers or freight lanes. Weeks 11-14 deploy: full go-live and workflow optimization. A rollout like this is scoped to show measurable results within 60 days of go-live - fewer audit exceptions and faster invoice processing, against baselines we set with you during scoping. Contract renegotiation gains build later, as the model learns your carrier behavior patterns.

Three things change. Every invoice gets checked instead of a sample, so the overcharges a spot audit misses get caught. Approval cycles compress because routine invoices auto-approve and your team works only the exceptions. And procurement finally gets a documented history of overcharges by carrier, lane, and terminal - evidence to take into the next contract renegotiation instead of a hunch.

The auditing system reads invoices and expense data through your existing TMS and accounting permissions - your financial data stays inside the platforms where it already lives. Nothing trains external models, processing artifacts are not retained, and every flagged exception carries a full audit trail. Data handling terms are written into the contract.

The job changes from data gathering to judgment. Nobody cross-references five systems to verify an invoice anymore - the evidence arrives assembled: BOL, load assignment, ELD record, contract clause. Accountants spend their time deciding flagged exceptions, feeding disputes with documentation, and handing procurement the overcharge history it needs for renegotiations. Your current team stays; this is about the audit-clerk roles you never have to post.

Yes. It connects to your TMS, WMS, ELD devices, and EDI networks - Oracle TMS, MercuryGate, and Blue Yonder are the common builds - and sits alongside your GL and accounts payable systems rather than replacing them. Invoices get validated against operational records before they hit the ledger, so nobody cross-references systems by hand. If a platform in your stack is not listed here, we scope the connector during the audit phase.