Why our customers rely on AI-supported duplicate payment analysis

Duplicate payments are a well-known but often underestimated problem in companies. Despite established control mechanisms, errors creep in – whether due to incomplete or duplicate master data, process gaps, poor OCR image recognition or even human error. Our AI-supported duplicate payment analysis helps to efficiently identify and eliminate duplicate invoices in SAP.

In addition, regularly performing the analysis before payment runs not only enables the detection of duplicate payments, but also the timely blocking of duplicate invoices before they are even paid. This contributes significantly to avoiding financial losses and making payment processes even more efficient.

Two of our customers tell us why they chose our solution – a solution that not only minimises financial losses, but also sustainably improves efficiency and transparency in their processes. Their experiences show how our AI-supported duplicate payment analysis helps companies to uncover weaknesses and improve them in the long term.

Andreas Noserke, Hydac GmbH

“We always had the feeling that duplicate payments were slipping through – despite the dual control principle and SAP controls. The analysis has not only shown us real duplicate payments, but false positives are also recognised by the AI and no longer need to be checked as much. This saves us an enormous amount of time in follow-up processing. The combination of rule-based analysis and learning AI is a real added value for us.”

Olivier Battaglia, Internal Audit Coop Group

“Transparency is crucial in a company of our size. The analysis has partially uncovered weaknesses in our processes, such as double entry of vendor invoices. There are many reasons for duplicate payments, and the risk of errors increases with the volume of documents and the processing channels. The benefits are all the greater and more sustainable, as duplicate payments can never be completely avoided. This comprehensive analysis, which now takes into account all data instead of random samples, has helped to significantly reduce financial losses, which has an extremely positive impact on our EBIT and is therefore financially self-sustaining. I was particularly impressed by how easily and quickly the analysis could be customised to our specific data.”

Conclusion: Precision, efficiency and trust

Our customers show: AI-supported duplicate payment analysis is more than just a control instrument – it is a strategic tool for process optimisation and risk minimisation. Through continuous learning, the solution is constantly improving and adapting to your company structure.

Would you like to delve even deeper into the topic and find out how our AI-supported analysis works in practice? In our webinar “AI-powered Cash Back Analytics”, we use specific use cases to show how companies can not only detect but also prevent duplicate payments with the help of intelligent data analysis.