Enterprise resource planning (ERP) systems have been the foundation of modern supply chain and finance operations for decades, processing billions of dollars in transactions, supporting supplier relationships, and providing the data leaders rely on to make informed decisions. ERPs also manage purchasing, invoicing, and payments at scale, giving organizations the structure and control they need across complex global operations. Despite their importance, most ERP systems are not advanced enough to tackle one costly and persistent issue: overpayments.
As supply chains grow more complex, transaction volumes rise, supplier networks expand across regions, and the risk of duplicate, incorrect, or fraudulent payments increases. Even organizations with mature finance operations and internal controls are often surprised by how much financial leakage quietly slips through their procure-to-pay processes. ERP systems remain essential, but without intelligent overpayment prevention layered on top, they leave organizations exposed to blind spots that erode margins, weaken controls, and threaten supply chain resilience.
Why ERP controls fall short
ERP systems were built to process transactions efficiently, not to analyze them intelligently. While most ERPs include basic duplicate invoice checks, their controls are reactive and rule-based, and they struggle to identify more sophisticated errors like slightly altered invoice numbers, currency conversion discrepancies, or partial duplicate payments spread across multiple invoices. Even the best ERP controls can miss incorrect payments and when they do, organizations struggle to accurately track expenses and prepare financial statements that are necessary for decision-making, operational efficiency, and compliance.
Legacy ERPs can also require employees to re-enter data across various business units, payable systems, or vendor master records where traditional ERP controls simply don’t have visibility. These manual updates increase the risk of errors and inefficiency, and leave finance teams constantly reconciling inconsistent reports. Many organizations may even operate multiple ERPs across regions or through mergers and acquisitions, making these limitations even more challenging.
APQC benchmarks show that even top accounts payable (AP) performers report a large percentage of duplicate or inaccurate payments, with lower performers exceeding as much as 2.5% of disbursements. Finance teams often assume that ERP controls are sufficient, only to find out later that significant overpayments have been overlooked. By the time those errors are discovered, recovery becomes difficult or nearly impossible. Suppliers may have gone out of business, records may be incomplete, or disputes may damage long-term relationships.
The real cost of overpayments
Still, many organizations continue to rely on standard ERP controls that were never designed to detect, prevent, or predict overpayments. The resulting financial leakage is not inconsequential. In FY 2024 alone, there were a whopping $162 billion in improper payments, with roughly 84% stemming from overpayments, duplicate payments, and fraudulent transactions. These losses may occur because of system migrations, human error, weak controls, or deliberate fraud but the end result is the same. Working capital is drained and the business is exposed to unnecessary risk.
Additionally, 80% of organizations were victims of payment fraud attacks in 2024, a 15% increase over the previous year. Considering fraudulent payments undermine financial health, operational efficiency, and business reputation, preventing payment errors and hidden procure-to-pay risks has become mission-critical for many organizations. Without overpayment and fraud prevention in place, an estimated $2 million of every $1 billion in spend slips through the cracks undetected.
The good news is that these losses are largely preventable.
The need for data intelligence
Across industries, overpayment recoveries typically trace back to a small set of recurring causes. These include duplicate payments created by multiple payment systems or related supplier records, inconsistent or incorrect invoice coding, and fraudulent payments that fall outside of standard reviews.
Many organizations attempt to close these gaps by building internal teams dedicated to identifying payment and transaction errors, but this approach is impractical. Manual reviews are time-consuming, reactive, and expensive, and that’s not the best use of human hours in today’s world. People simply can’t match the power of AI in scanning files for critical errors and identifying hidden patterns that would otherwise go unnoticed.
To manage this risk effectively, organizations need unified data intelligence systems that provide real-time visibility into supplier performance, payment activity, and compliance across the entire procure-to-pay lifecycle. Automated systems can detect up to 95% of duplicates before they are paid, reducing the risk of overpayment and reconciliation issues. With accurate, intelligent, real-time data, supply chain professionals are better equipped to identify control gaps earlier, act on exceptions faster, and make more informed decisions that protect working capital, even amid uncertainty.
Proactive prevention in practice
Take a large organization that works with many different suppliers globally for example. Let’s say, this company invested in an AP recovery audit tool to protect the company’s bottom line. With operations spanning continents and thousands of suppliers, the organization recognized that even strong internal controls were not enough to fully address overpayment risk. Despite having controls in place, duplicate and incorrect payments were still going unnoticed, an experience that many AP organizations struggle with.
To address this issue, this consumer packaged goods (CPG) company conducted routine audits and took a proactive approach by leveraging advanced software to detect and prevent duplicate payments before they were issued. With the use of overpayment prevention technology, it was able to prevent $1.2 billion in overpayments to suppliers and recover $36 million in overpayments.
Most importantly, its success was not attributed to buying expensive, experimental technology. It was about following a proven plan focused on three main priorities: creating a revenue source through recovery, identifying control gaps, and eliminating tedious manual processes. This process is what allows organizations to free up significant time and resources, allowing teams to refocus their efforts on higher-value, risk-reducing tasks.
From recovery to prevention and prediction
Traditional ERP systems remain essential to supply chain organizations, but they are not sufficient on their own. Advanced overpayment prevention solutions use AI and analytics to move beyond recovery toward real-time prevention and even prediction. This approach inserts compliance directly into daily operations, rather than relying on audits after the fact.
Protecting payments protects growth and ensures that company dollars stay exactly where they belong. Without intelligent, data-driven controls, organizations leave capital exposed. In a world defined by financial pressures and uncertainty, the most resilient supply chains are the ones that stop overpayments before they happen, not after the damage is done.
