Every attendance system produces exceptions. Phones die, networks drop, a client meeting overruns and someone leaves without punching out, a device at the gate fails. The exceptions are not a sign of a bad system β they are unavoidable. What separates a functioning attendance process from a painful one is how those exceptions are handled.
In most companies the answer is an email to HR, a note in a spreadsheet, and a manual edit made by whoever holds the access. That approach has three problems, and all three get worse as headcount grows.
Problem one: HR becomes the adjudicator
When corrections route to HR, the person deciding whether someone was actually working is the person least placed to know. They were not there, they do not know the team's schedule, and they have no basis to distinguish a genuine missed punch from an optimistic one. So they approve almost everything, which makes the process theatre, or they push back on some, which makes it arbitrary.
The employee's reporting manager has the context. Routing corrections to them is not merely a workflow preference β it is the only place the decision can be made on evidence, and it distributes a workload that otherwise concentrates on one team.
Problem two: direct edits destroy the audit trail
If a correction is applied by editing the attendance record, there is afterwards no way to tell what was originally captured, who changed it, or why. That is precisely what an auditor will ask for, and it is what you will need if an attendance record is ever challenged in a dispute.
A correction and an edit are different things. A correction preserves the original captured data alongside the approved change and records who approved it. Attendance regularization works this way: the original punch data survives, and the approval is part of the record rather than replacing it.
Problem three: everything arrives at month end
If nobody is prompted, employees notice a missing punch when they see the payslip. A month of exceptions then lands during the payroll window β the point at which the team has the least capacity and the highest cost of delay. It is also the point at which the facts are hardest to establish, because nobody reliably remembers the 9th three weeks later.
The fix is prompting, not process. A same-day missed-punch reminder collapses most of this: the employee raises the correction while they still remember the day, the manager approves it with context, and the payroll window stays clear.
A policy that works
- Employee raises, manager approves. Self-service submission against the specific date with a reason. Approval by the reporting manager, with escalation if they do not act within a set window.
- Same-day prompts. Notify on the day the exception occurs. This single measure does more than any other item on this list.
- A backdating limit. Typically to the end of the current payroll period. Corrections to closed periods should require a higher approval, because they mean reopening a payroll run.
- A volume cap with judgement. Three to five per employee per month is a common setting. Treat the cap as a signal rather than a punishment β see below.
- A written reason, always. Free text is fine. The value is that it makes patterns visible.
- Automatic payroll flow-through. An approved correction should update payable days without anyone applying the same fix a second time during the payroll run.
Read the exception report as diagnostics
This is the part most companies miss. A single employee raising fifteen corrections a month is usually not a discipline case. It is far more often a signal: a biometric device failing intermittently, a shift pattern that requires punching out at a location with no signal, or a supervisor who has not explained the process. One team generating a disproportionate share of exceptions almost always has a structural cause.
Reviewing regularization volume by team and by reason turns a stream of individual requests into a list of fixable problems. Companies that do this see exception volume fall over a couple of quarters. Companies that only enforce the cap see the same volume, plus a workforce that has learned to stop reporting.
One thing not to do
Do not make regularization so restrictive that employees give up on it. If the process is slow, capped too tightly, or reliably refused, staff stop raising corrections and simply accept the deduction β or they ask a supervisor to fix the record informally, which puts you back where you started with no audit trail at all. The purpose of the policy is accurate attendance data, and an employee who has stopped correcting errors is not producing accurate data.

