Billing Accuracy and Invoice Error Detection

A global paper and packaging manufacturer, Billerud, implemented AI-powered invoice processing through an AP automation platform in 2024 to address daily hours lost to manual invoice validation. According to a 2024 Basware case study, the company deployed an AI-based solution that uses deep learning and text extraction to convert PDF invoices into structured electronic data. Within three months of deployment, the percentage of invoices requiring manual validation dropped from 15% to 9%, with over 90% of invoices now validated automatically. The implementation delivered a 66% reduction in PDF invoice handling costs and a 25% decrease in total monthly AP processing costs, achieving full return on investment within a few months of go-live.

Additional evidence supports the scalability of these results across different organizational profiles. A mid-market company handling approximately 10,000 invoices annually with a five-person AP team and $12 million in annual spend reported, according to Artsyl's 2025 ROI analysis, that automation saved $175,000 annually, cut invoice errors by 88%, and captured an additional $45,000 in early payment discounts. A Hackett Group study found that companies automating AP processes can achieve straight-through processing rates of up to 95%, enabling invoices to move from receipt to payment without manual intervention. These results are consistent with broader market trends: a 2024 Deloitte survey found that 80% of CFOs plan to embed more automation and digital technologies into financial operations, while Basware's 2024 AI to ROI report, conducted by Financial Times Longitude and surveying 400 global CFOs, found that 78% of chief financial officers intend to increase AI investment over the next 12 to 18 months.