Attendance Regularization
Correct anomalies effortlessly. A transparent workflow for fixing missed punches and on-duty requests.
My Regularization Requests
Trusted for payroll accuracy
Fix Missed Punches Without Emails
Forgot to swipe? Biometric scanner down? Kiework provides a structured workflow for employees to correct their attendance records, eliminating chaotic email threads.
Automated Exceptions
The system automatically flags anomalies—late in, early out, or missing punches—and alerts the employee to regularize.
Reason Codes
Employees must select valid reasons (e.g., "On Duty", "Device Error", "Work from Home") when requesting a fix.
Approval Workflow
Requests are routed to reporting managers for one-click approval. Approved records update payroll instantly.
Cleaning Up the Attendance Mess
In a perfect world, every employee punches in on time, every day. In the real world, people forget their ID cards, scanners malfunction, and sales reps go directly to client sites ("On Duty"). Without a system to handle these exceptions, payroll becomes a nightmare of manual adjustments and "I was present!" email threads.
The Exception Workflow
Kiework treats Regularization as a formal workflow, not an afterthought. When the system detects an anomaly (e.g., "Absent" but logs show email activity, or "Single Punch" where entry is recorded but exit is missing), it flags it to the employee.
The employee can then raise a "Regularization Request" via the mobile app. They must select a reason (e.g., "Device Error," "Forgot ID," "Client Visit") and can add comments. This structured input replaces the vague "Please update my attendance" emails.
Empowering Managers
These requests flow to the Reporting Manager's dashboard. The manager sees the context—the employee's claim, their location history (if applicable), and their past regularization frequency. They can Approve or Reject with a single click. This decentralization removes HR from the bottleneck. HR doesn't need to investigate every missed punch; the manager, who knows if the employee was working, handles it.
Payroll Integrity
The ultimate goal of regularization is accurate payroll. Unresolved attendance gaps lead to Loss of Pay (LOP) deductions, which cause employee grievances and salary arrears in the next month. By enforcing a "Regularize before Payroll Cut-off" policy, Kiework ensures that the data feeding into the payroll engine is clean, approved, and final. This reduces payroll processing errors and ensures employees are paid correctly for every day they worked.
