For a long time, payroll efficiency has been measured around payroll approval.
The idea is that if calculations are complete, payslips are accurate and payroll is approved on time, then that’s ‘job done’. But from the perspective of the employee or statutory body, that’s only half the story: to them, payroll is only working properly if they receive the money they expect at the time they expect it.
This is why payments should no longer be considered a separate process, but as an integral part of the end-to-end pay flow. And it’s also why we take our measurements of payroll performance beyond the approval stage and into payments.
Where payments problems really lie
The 2026 CloudPay Global Payroll Efficiency Index, based on analysis of more than 4.7 million payslips processed worldwide, expands its analysis of payment performance this year. By looking beyond payment timeliness to examine payment incidents and their root causes, the report gives payroll leaders a fuller view of performance. This greater level of insight goes beyond the approval stage and reveals issues that headline measures alone can miss.
The 2026 PEI expands its payments analysis with two detailed metrics: transaction incidents per 1,000 payments and root cause distribution. The report establishes an initial benchmark of 2.6 incidents per 1,000 payments, while the root-cause analysis reveals an important finding: 57% of payment issues originate upstream of core payment execution – 31% within payroll and 26% from partners.
This demonstrates the importance of integrating payments and payroll more closely. With so many payment issues originating elsewhere – from data validation and preparation to approval delays and cross-system handovers – a unified end-to-end pay approach makes it easier to address those problems at source.
What practical impacts do these issues cause?
An upstream problem can become a downstream payment failure, affecting either the accuracy or timeliness of pay.
Accuracy issues are normally down to upstream problems with payroll data, that lead to the wrong amounts being paid. Payments are responsible for executing whatever amount is specified in the bank file, and they may not have the opportunity to validate whether that figure is correct or not. There is also the risk of human errors from pay orders or instructions that are created manually, or from bank-account changes arriving too late in the payroll cycle, leading to inconsistency in the bank details logged in the payroll system.
Timeliness issues, on the other hand, can be a little more complex. A late payment could be due to payment operations, vendor difficulties, currency requirements, funding timing or a process delay. But the knock-on effects of these can be severe. For example, if a payroll approval is late, then the payments team may be late in making its funding requests, which could then lead to treasury having to delay the movement of the funds. As a result, everything downstream in the process becomes more rushed, more pressured and more fragile.
Why unification is the way forward
Whether an issue comes down to accuracy or timeliness, payroll and payments leaders need visibility across the whole pay process to understand what happened and address the underlying cause.
If teams only measure payroll up to the approval stage, then they don’t have any visibility of any risks or performance issues that may emerge after that point but before employees receive their pay. Unifying payroll and payments, so that payments are considered the final step of one comprehensive process, delivers that visibility.
This end-to-end view also creates a more sophisticated basis for analytics and reporting. By connecting payroll and payment data, teams can trace performance across the full pay cycle, identify where issues originate, and understand how upstream events affect downstream outcomes. That deeper visibility gives payroll and payments leaders greater control and confidence because they can assess the performance of the process as a whole, rather than relying on isolated measures at individual stages.
For example, through automations in CloudPay’s connected global pay solution, the payroll-to-payment integration can automatically send bank files, gross-to-net outputs, and post-payroll reporting to the payment platform. The employee counts and total are then checked and matched by the payment platform before confirming that the process can continue, helping to reduce manual intervention between payroll approval and payment execution.
In summary: taking control through visibility
Ultimately, the required outcome is simple: employees and statutory bodies receive accurate payments on time. That means every stage contributing to that outcome – from payroll data through approval and payment execution – forms part of payroll performance. It’s something we believe very strongly in at CloudPay, especially because of the volume of payroll and payments we handle. When dealing with around 450,000 payslips, 200,000 net payments and 5,000 payment orders every month, it’s essential that the transition from payroll to payments is controlled and predictable, with errors and time pressures kept to a minimum.
Connecting payroll and payments isn’t simply about processing payments faster: it gives both payroll and payments teams better visibility and control. They’re able to see where issues originate and address them, reducing manual handovers and improving exception handling to deliver a more reliable and positive employee pay experience.
To read more about how this works in practice, read the next blog in this series on why faster payroll needs stronger validation – and to explore the results and analysis in detail, download the full CloudPay Global Payroll Efficiency Index 2026 here.
