Study: Payroll Errors Cost Firms Millions Each Year — and Most Companies Are Not Measuring the Right Things
Talent Management / Payroll / Benefits | 5 min read
Employee pay represents between 40% and 60% of most large organisations' operating expenses — yet global payroll remains highly fragmented, under-resourced, and poorly governed, with millions of dollars lost to waste and potential fraud every year. That is the headline finding from a major new research report published by UKG, a leading global AI platform for HR, pay, and workforce management, and KPMG LLP. The report, based on a survey of more than 300 senior global leaders from large multinational organisations, reveals a pervasive gap between the scale of global payroll spend and the governance, technology, and strategic attention applied to it.
The Scale of the Problem: Payroll Leakage
The report introduces the concept of "payroll leakage" — consistent, unintended financial losses within an organisation's payroll spend driven by inefficient processes, system limitations, fraud, policy deviations, timekeeping issues, transaction errors, and compliance failures. Leakage is distributed invisibly across the enterprise, making it difficult to surface and almost never attributed correctly. The key statistics from the research are stark:
- • Organisations lose 2–4% of total labour spend to payroll leakage annually
- • Nearly 2 in 5 (38%) companies report US$1 million–US$5 million in annual payroll losses
- • Even 1% of wasteful payroll spending can cost a large enterprise up to US$15 million in losses
- • One global technology company with 80,000+ employees realised US$29.5 million in annual savings by addressing payroll leakage — with potential for an additional US$70–100 million per year
"Employee pay is one of the most powerful levers multi-national organisations have to strengthen their financial health, elevate the employee experience, and operate with confidence on a global scale. Payroll teams sit on a wealth of actionable insight that leaders can use to guide smarter, faster decision making. The opportunity ahead is immense: global payroll is a rich source of workforce intelligence for organisations that make the bold decision to modernise and empower their teams with new technologies."
— Richard Limpkin, General Manager of Global Payroll Solutions, UKG
Data-Rich but Insight-Poor: The Measurement Gap
Despite the financial stakes, most organisations are tracking the wrong payroll metrics. Nine in ten (89%) respondents say they use automated payroll comparison tools to compare current and previous cycles, and 69% track payroll accuracy. But only 35% measure first-time-right payroll — one of the most meaningful indicators of process quality — and fewer than half track cost per payslip or processing cost, the metrics most indicative of leakage and ROI. Without the right data visibility, organisations cannot identify where inefficiency is hiding or make the business decisions necessary to address it.
Fragmented, Under-Resourced, and Operating in Silos
The governance picture is equally concerning. Despite paying hundreds of thousands of employees, only 33% of respondents reported having 50 or more full-time employees dedicated to payroll, with 23% operating pay teams of just 15–24 people. Nearly all respondents (92%) say they have a global employee pay strategy — but only 33% operate a truly standardised global model. Three-quarters (74%) use more than two vendors to manage global payroll, and 34% use three to four vendors, creating fragmentation that prevents a coherent, unified strategy. Only 47% of C-suite leaders say they use AI in production payroll environments, with barriers including concerns about data accuracy (48%), integration gaps (34%), and lack of standardisation.
"The rapid evolution in how organisations manage pay presents a unique opportunity to transform complexity into clarity. Our research indicates that when leaders elevate payroll to a strategic function, they gain enhanced visibility into workforce trends, financial performance, and operational resilience. With the emergence of new leadership roles such as the Chief Payroll Officer, forward-thinking organisations are leveraging AI, automation, and standardised global processes to unlock new value. A function that was once perceived as a back-office function subordinated to HR or Finance is swiftly becoming a catalyst for broader enterprise insights and operating expense management."
— Dimitri Papageorgiou, Leader of Payroll and Labour Strategy and Transformation, KPMG
What AI Can Deliver — When Adopted
Despite slow adoption, survey respondents are highly optimistic about what AI will deliver in payroll: 69% expect it to improve accuracy and compliance, 68% expect enhanced insights, 68% expect shorter payroll cycles, 56% expect visibility into future payroll trends, and 47% expect it to drive growth. KPMG's own research on agentic AI in payroll suggests the gains are substantial in practice: agentic AI can reduce payroll cycle times by up to 35%, drive 5–12% in real cost savings from leakage detection alone, cut compliance issues by 70%, and reduce processing costs by 15–20%.
Key Takeaways
- • A new UKG and KPMG report — based on 300+ senior global leaders from organisations with 10,000+ employees and US$5B+ revenue — finds organisations lose 2–4% of total labour spend to payroll leakage annually, with 38% reporting US$1M–US$5M in annual losses.
- • Even 1% of wasteful payroll spending can cost a large enterprise up to US$15 million. One 80,000-employee global technology company realised US$29.5 million in annual savings by addressing payroll leakage, with potential for an additional US$70–100 million per year.
- • The measurement gap is critical: only 35% of respondents measure first-time-right payroll, and fewer than half track cost per payslip or processing cost — the metrics most indicative of leakage and ROI — despite 89% using automated payroll comparison tools.
- • Global payroll remains structurally fragmented: 74% use more than two vendors, only 33% operate a truly standardised global model, and only 47% of C-suite leaders use AI in production payroll environments.
- • AI adoption expectations are high (69% expect improved accuracy/compliance; 68% expect shorter cycles) and KPMG's agentic AI research projects 35% faster cycle times, 5–12% cost savings from leakage detection, 70% fewer compliance issues, and 15–20% lower processing costs when AI is fully deployed.