RPA in HR and payroll
Humanize your HR processes and bring back the focus to employee interaction and experience
Through automating HR processes, we have both improved employee satisfaction and employer image of our customers
RPA (Robotic Process Automation) in human resources department allows automating repetitive manual work, freeing time for more challenging tasks, face to face employee interaction and developing employee experience.
RPA enables faster employee onboarding, more efficient routine task processing and employee exit handling. Automating processes in payroll with high-volumes of data improves accuracy and compliance. RPA is also an agile tool when vast amounts of data need to be transferred from one system into another.
Benefits of RPA in HR & Payroll
Faster employee onboarding & exit process
HR experts can focus on finding the talents, rather than scanning applications.
Increased employee data quality
Robots retrieve and synchronize employee data across different systems.
Keeping up with compliance
Robots can automate legally mandatory reporting, e.g. worktime reporting.
Better employer image
Better management of HR processes improves employer image.
RPA use case examples in HR and payroll
BUSINESS TRAVEL ACCOUNTING
CASE: AUTOMATION IN HR DEPARTMENT IN A LARGE ELECTRICITY COMPANY
The initial reason the organization wanted to use RPA was due to their need to improve their data’s visibility. They had vast amounts of raw data about their employees’ working hours and the employees’ overtime hours from different systems that didn’t communicate together.
Before the worktime reporting was done manually in excel – the robot replaced this manual, monotonous work formerly done by an employee, allowing the employee to focus on more valuable, challenging work. Sisua also added more sources of data to the process and using the robot enabled the reports to be updated more often. Although the automation created FTE savings, the most significant impact was that the data was now more accurate, transparent and up to date.
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