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Pay Slips

Module Overview

The Pay Slips module serves as a central repository for managing and distributing employee pay slips. It enables HR departments to efficiently upload, manage and distribute pay slips, while employees have easy and secure access to their documents.

Key Features

  • Upload pay slips individually or in bulk for multiple employees
  • Automatic email notifications to employees when new slip is uploaded
  • Secure access - each employee sees only their own pay slips
  • Organization by year and month
  • Multiple file attachments per pay slip
  • Export to Excel and print overview
  • Soft delete - recover accidentally deleted records

Target Users

  • HR and Payroll - upload and manage pay slips for all employees
  • Employees - view and download their own pay slips

User Permissions

LevelCapabilitiesRecommended for
No accessCannot access moduleExternal collaborators
View ownSee only own pay slips, can downloadRegular employees
View allSee all employee pay slips, cannot add or deleteDepartment heads, controllers
View all + addSee all, can add new individually or bulkPayroll accountant, HR
View all + add + deleteFull management - add, delete, restoreHR manager
Deleted accessCan view and restore deleted recordsHR manager, admin

Working with Pay Slips

Uploading Pay Slips

Individual Upload

  1. Click Add pay slip
  2. Select employee from list
  3. Choose year and month
  4. Upload PDF file
  5. Optionally check "Send email notification"
  6. Save

Bulk Upload

  1. Click Bulk upload
  2. Select year and month
  3. Drag and drop multiple PDF files
  4. System matches files to employees by name
  5. Verify matches and confirm

Employee View

Employees see list of their pay slips organized by year and month. Click to download PDF document.

Tips

  • Use consistent file naming for easier bulk upload matching
  • Enable email notifications so employees know when new slips are available
  • Use soft delete to recover from mistakes
  • Set appropriate permissions to protect sensitive salary data