A global leader in human resource solutions, offering staffing and workforce management services to clients across the globe. 

• High Error Rates: Manual data extraction, calculation, and entry across multiple client applications resulted in low data accuracy and exposed the client to compliance risks.
• Service Delays: Labor-intensive processes for salary advances, leave applications, and insurance enrollments created significant delays in delivering essential employee services.
• Inefficient Scaling: The inability to manage a growing volume of complex requests without adding headcount limited operational scalability and increased cost.
• Wasted Resources: HR staff were burdened with repetitive, low-value administrative tasks instead of strategic workforce management.

QBurst developed an RPA solution using UiPath after a detailed analysis of the client's manual workflows to identify critical automation opportunities. We mapped these workflows and deployed resilient bots to handle tasks ranging from data validation and extraction to complex calculation and entry across disparate systems.

Key automations implemented:

• Salary Advances: Bots extract attendance data, calculate working hours, and automatically update tracking and payment systems.
• Leave Management: Bots retrieve paid leave details, register them in relevant systems for processing, and log errors, reducing manual reconciliation effort.
• Insurance Processing: Bots automate social and employment insurance registration, extracting data from input sources (like Google Sheets) and generating statutory PDFs for storage.

• Disqualification Certificates: Bots automatically generate and dispatch required insurance certificates upon contract termination, pulling data, creating documents, and updating management records.

  The bots were deployed via UiPath Orchestrator to ensure seamless, reliable operation and integration with all existing applications.
   

• Workflow Automation: Mapped and automated end-to-end processes for salary advances, leave management, and insurance enrollments/withdrawals.
• Data Extraction and Validation: Bots perform accurate data extraction and calculation from source documents and systems before automated entry into target applications.
• Error Logging and Reporting: Implemented detailed error logging for all bot activities, ensuring immediate visibility into issues and reliable data integrity.
• Document Generation: Bots automatically generate and file necessary regulatory documents, such as insurance disqualification certificates, ensuring compliance and easy retrieval.

• Reduced Processing Time and Increased Accuracy: Processing times for salary advances, leave applications, and insurance reduced by 50%, while data entry and calculation errors decreased by 90%.
• Enhanced Operational Efficiency: With routine tasks automated, the HR team could dedicate more time to strategic, value-added activities, leading to a 40% boost in productivity.
• Improved Employee Satisfaction: Employees experienced significantly faster processing of salary advances and leave applications, enhancing their overall satisfaction with internal services.
• Substantial Cost Savings: The elimination of extensive manual work and reduced error correction led to substantial, continuous cost savings in HR operations.