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The world is in the middle of another major revolution, much like it experienced in the transition from the Agricultural Age to the Industrial Age. This resolution is driven by Robotic Process Automation (RPA) and Artificial Intelligence which is opening new horizons for organizations and their employees.
The processes of Accounting and Payroll are by no means immune to this change. RPA is progressively able to mimic human activity, taking on monotonous tasks more quickly and accurately than people. Businesses today have complex award rates pay systems. With complexities, inconsistencies and payroll errors arise that could even cost millions! RPA has helped in achieving higher precision and speed.
According to CloudPay, the deployment of RPA resulted in Payroll Auditing requirement to reduce by 80% on average.
Some of the key areas where businesses are utilizing RPA:
As technology continues to evolve, it is an inevitable fact that Robotic Process Automation will become increasingly prevalent among businesses and organizations. RPA can be implemented efficiently in payroll, assuming that the processes are manual in nature.
These use cases improve speed and allow payroll specialists to focus on more uniquely human activities. These activities include strategically working with business partners and finance functions to provide advisory services and designing more efficient and effective payroll processes. Ultimately, this is helping payroll specialists, like many task-driven specialized positions, become true strategic advisors.
In General, most of the top level executives tend to see payroll as a tactical area of the business, and there is pressure to keep costs low. With RPA, the processing time, error rates and manual work can be reduced greatly while delivering the expected results and so, RPA for payroll function could be the optimal choice to keep the costs low with significant returns on automation.
After all, the need to administer, function, monitor and advance RPA will become a key requirement and, with the payroll team freed-up from repetitive tasks, more value-adding activities might finally get the attention they deserve.
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Category: Analytics, Artificial Intelligence, Big Data and BI