Problem
The payroll deadline is approaching
The payroll deadline is approaching. One manager has not approved their team’s hours. A pay increase was agreed last week, but nobody is sure which pay period it starts in. An employee says their leave balance looks wrong.
The person running payroll starts opening messages, checking records, and asking questions. They have done this before. They will probably get it sorted again. But getting payroll ready has taken over another afternoon.
Depending on your provider, the submission deadline may fall several days before payday. That is when the pressure starts: the pay run needs to be ready, and someone is still working out what belongs in it.
Examples
The work before the pay run
Consider a fictional business with 35 employees. It already uses payroll software and a separate system for time and leave. On the morning of the submission deadline, the office manager finds three unresolved items. One employee has a missing clock-out. Another has a pay change without a confirmed effective date. A third has leave approved in a message that does not match the time record.
Each needs a different answer. The employee and manager need to confirm the hours worked. The authorized person needs to confirm when the pay change applies. Someone needs to resolve the conflicting leave records.
Until those answers are recorded, the office manager cannot confidently finish reviewing the pay run. They are checking the same items repeatedly because any one of them might have changed since the last check. Payroll software can process the information it receives. It cannot supply an approval that has not been given or know which of two conflicting records reflects what happened.
Solutions
Look at what arrives late, incomplete, or unclear
PayrollOrg’s 2025 Getting the World Paid survey ranked poor input quality, late or inaccurate time-tracking data, and inputs received after payroll cutoff as the three leading causes of reduced payroll accuracy. Its 585 respondents were global payroll professionals, so the findings provide context rather than a small-business benchmark.
For your business, start with the last completed pay run. What did someone have to chase, correct, or confirm before it could proceed?
Choose one recurring problem. For example, if pay changes keep arriving without effective dates, define what a complete change needs: the employee, approved amount, effective date, and evidence of authorization. Agree where that information belongs and who resolves anything missing.
Make the missing information visible earlier
A reminder saying “payroll is due” does little to help someone who does not know which detail is holding up their part of the work.
Check what your current payroll, HR, and time-tracking tools already support. An existing approval setting or exception report may address the problem.
Where a recurring gap remains, a scoped automation could check the agreed inputs before the submission deadline and prepare a short list of unresolved items. The fictional list above shows the kind of specific issue each person needs to resolve.
Keep the preparation list current
The useful part is the specific next action. Each person receives the item they can resolve, with access limited to the information they need. Once a correction is approved and recorded, the next check can show that it is ready for payroll review.
The list should also show when its sources were last checked. If the connection to the time system fails, payroll needs to see that the information is unavailable. An empty list must not be mistaken for confirmation that everything is ready.
Use differences to focus the review
Once a draft pay run is available, another useful check is to compare it with the previous period. A newly applied rate, an unexpected deduction, or a large change in hours can be highlighted with the supporting record.
A difference is a reason to look. It may be completely correct. The reviewer still needs to understand it before approving the run.
The workflow should preserve unresolved items and give the payroll owner a clear route to handle them. Missing approval should never cause software to silently remove recorded hours or decide that someone should not be paid. The payroll owner handles the issue through the business’s established correction process.
Check whether preparation becomes more predictable
For a few pay cycles, record how many items remain unresolved at the preparation deadline, how long people spend chasing answers, and how many corrections are needed after submission. Include time spent checking automated flags and maintaining the workflow.
Those measures tell you whether the change helped. If the same questions still arrive at the same last-minute deadline, an automated reminder has not addressed the cause.
A useful improvement means missing information becomes visible while there is time to resolve it, and the person reviewing payroll can see what changed and why.
How Zoevin helps
Bring one pay run that took too much chasing
At Zoevin, I build scoped automations in your business’s own environment and hand them over on an agreed date.
If preparing payroll still means an afternoon of messages and corrections, bring one recent example. We can look at what arrived late, what needed checking, and which recurring preparation step could be made easier.
- Discuss one pay run and the information that needed chasing.
- Identify a possible automation scope and the decisions your team retains.
Zoevin has no delivered automation projects yet. Discovery names the seam. If I build, I hand it over on a written date. You get the workflow, the logins, and the write-up. I don't stay on to run it. You buy the software.
Evidence
Sources
Primary reporting first. Open the sources yourself rather than taking this account alone.
primary source
PayrollOrg — 2025 Getting the World Paid Survey ReportSurvey of 585 global payroll professionals, fielded February 3–April 3, 2025. Respondent profile: report page 3; ranked causes of reduced payroll accuracy: page 40. Global payroll research, not a small-business prevalence benchmark. The 35-person business and preparation table are fictional teaching examples, not client results or documented platform capabilities.