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Track record · Commercial bank in Germany

Invoice processing: 98 percent faster at 99.4 percent accuracy

A German commercial bank with international corporate business processed incoming invoices manually: expensive, slow and with a risk of double payments. A document-AI pipeline took over classification, extraction and matching, across all formats and languages.

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The challenge

The problem

Invoices arrived as fax, letter, PDF, Word and Excel in several languages. Manual processing tied up staff, delayed payments (penalty risk) and identical submissions led to double payments.

Document AI

The solution

How it was solved

Automatic detection Invoices are detected across formats and languages.
Extraction and matching Data is extracted and validated against internal systems.
Duplicate protection Identical submissions are detected, double payments prevented.
Payment scheduling Payment runs are optimised: no penalties, better cash flow.

The results

98 % shorter processing time per invoice
99,4 % output accuracy
40 % less staff effort in administration
0 double payments since launch

Technology

Methods used

Stack

  • OCR
  • Classification
  • Data extraction
  • System matching

We deliver exactly this solution pattern today on our own platform, see the document automation case study.

Led by Beyonetix founders and senior engineers. Figures per the respective project report.

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