Payback Group

Spotting invoicing anomalies across the whole flow

Detection of invoicing anomalies across the entire flow, and a searchable map of everything committed to in supplier contracts.

Client
Payback Group
Secteur
Financial audit
Période
2022 - 2024
Technologies
GPT-4Azure Document IntelligenceRAGPython

100%

of the invoicing flow checked, instead of a sample

Price clauses and terms extracted from contracts held as PDFs

Incorrect payments stopped before the money leaves

For Payback Group, the aim was to industrialise invoicing audits that until then had been done occasionally and by hand, which meant on samples, which meant partially.

Map what was negotiated

The first step is knowing what the contract says. A retrieval-augmented system reads thousands of supplier contracts held as PDFs and extracts the price clauses, the year-end rebates and the payment terms.

The result is a living index of every contractual commitment, searchable in plain language by the purchasing teams. On its own that is already a considerable change for people who until then had to reopen a binder to answer a simple question.

Catch the discrepancies as they come

The system then checks incoming invoices against the contract database. Each invoice is read line by line and compared: does the price charged match the price negotiated, have the contractual rebates been applied, is this a duplicate.

An immediate effect on cash

The benefit works both ways. Incorrect payments are stopped before the money leaves the business, and credit notes are raised retrospectively on past errors. This is an application of artificial intelligence whose return on investment is almost immediate, which makes it easy to defend to a finance director.

Next step

Where would you start?

Ten days to map where your teams lose time, put a figure on each lever and name the first system to build. If AI is not the right answer, I will tell you so.

Diagnostic

Étape 1

10 days

€9,500 excl. VAT · fixed fee, one area of the business

  • A map of where the time actually goes in the area audited
  • Each lever costed in hours freed, ranked by effort and by gain
  • The data note: what leaves your systems, and where it is processed
  • A three-month plan, naming the first system to build