Manual payroll processing and zero visibility into workforce discipline across 50+ employees
A manufacturing and services company with over 50 employees relied entirely on manual processes to manage attendance, calculate payroll, and monitor workforce discipline. Employees clocked in and out through the ERP system, but the data sat untouched until month-end — when a payroll administrator spent days cross-referencing timesheets, hourly rates, overtime rules, and leave records. Production managers logged hours against specific tasks, but there was no systematic way to verify whether reported task hours matched actual attendance or to identify idle time between production assignments.
AI-powered workforce analytics platform with automated payroll calculation and discipline monitoring
AITENCY built an intelligent workforce management system that continuously monitored attendance data from the ERP, cross-referenced it with task-level time logs entered by production managers, and automatically calculated payroll based on each employee's contract terms — hourly rates, overtime thresholds, shift differentials, and deductions. The AI layer analysed data integrity by comparing clock-in/clock-out records against task assignments, flagging discrepancies such as unaccounted idle time, inconsistent manager reports, and attendance anomalies. The system generated comprehensive KPI dashboards covering individual employee efficiency, manager reporting accuracy, punctuality trends, and departmental productivity — delivered automatically to management every morning.
Delivered in 5 weeks: 2 weeks of operational audit and data mapping across the ERP attendance module and production task system, 1 week of architecture and rule engine design, and 2 weeks of build, testing, and deployment. The payroll calculation engine was validated against 6 months of historical payroll data before going live.
Results
Monthly payroll processing reduced from 4 days to under 3 hours
Every payroll calculation fully traceable with automated discrepancy flagging
Identified and addressed previously invisible idle time patterns across production floor
The system now serves as the single source of truth for all workforce-related decisions. Management uses the daily KPI reports to address discipline issues proactively, and the cross-referencing engine has significantly improved the accuracy of manager-reported task data — creating a self-correcting feedback loop across the organisation.