Robotic Process Automation Strategy
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Robotic Process Automation Strategy
Robotic process automation (RPA) is a technological application governed by structured inputs and business logic and is focused on the automation of various business processes. Through RPA tools, organizations can configure robots or software to interpret and capture applications to process different transactions, communicate, trigger and manipulate data with various digital systems (Van der Aalst, Bichler & Heinzl, 2018). RPA systems are different, and they range from the email automatic response systems to the use of multiple bots in automating different jobs in an ERP system.
Multiple advantages come with the adoption of RPA. RPA can make organizations capable of reducing human error and staffing costs. The use of bots is mostly low cost, and it is highly easy to implement, which means that there is no integration of deep systems or custom software (Aguirre & Rodriguez, 2017). These are essential characteristics for businesses to pursue growth in the absence of significant friction with employees or workers’ expenditures. Organizations are attempting to get some breathing room, which will allow them to serve their businesses better through the automation of low-value tasks. Organizations can also supercharge their automation efforts by injecting RPA with cognitive technologies such as automation of higher-order tasks, natural language processing, speech recognition, and ML (Moffitt, Rozario & Vasarhelyi, 2018). These are tasks that essentially required the judgment and perceptual capabilities of humans.
RPA is, however, not usable in every business. Like all automation technologies, RPA can eliminate different jobs, which significantly challenges the management of talent. While the implementation of RPA is an attempt to transition workers to new jobs, RPA software can also threaten more workers (Moffitt, Rozario & Vasarhelyi, 2018). Also, the installation of bots takes more time and longer to install. The platforms through which bots interact often change and the required flexibility is usually not configured to the bot.
Additionally, new regulations require minimal changes to different application forms, and this could affect months of work in the back office on a bot that has not been completed yet. The economic impacts of RPA cannot be assured (Van der Aalst, Bichler & Heinzl, 2018). While 30% of the tasks can be automated for the different occupations, it does not translate neatly to a cost reduction of 30%.
Several strategies are essential for the effective implementation of RPA. There is a need to set and manage proper expectations. This means that ging through the implementation with an open mind ensures better success in the implementation of the products. The business impact should also be considered (Van der Aalst, Bichler & Heinzl, 2018). RPA is an important mechanism that can be used to ensure a return on investment and reduce costs. This can also be used to provide an improvement in customer experience. IT departments should also be involved in the entire implementation of RPA. Involving this department is essential, and it ensures that the implementation receives all the resources needed for successful completion.
Change management and poor design can wreak havoc. Different implementations often fail mostly due to the poor management of change and design. While rushing to ensure the deployment of other things, organizations often overlook communication exchanges between different bots, which can break the business process. It is essential to plan for various obstacles to monitor performance. Control ensures that compliance is managed, and there are several governance challenges with the implementation of single bots. Successful implementation involves building an RPA center for implementation, which includes a center of excellence staffed by people responsible for making proper and efficient programs in an organization. Not all enterprises have a budget for these. The RPA center for excellence business cases calculates ROI and optimization, and it measures the different signs of progress against these goals (Aguirre & Rodriguez, 2017). While working on the implementation, people’s impact is paramount, and it should not be forgotten. Through shiny new solutions, organizations sometimes focus on implementing RPA that they abandon employees. Finally, RPA should be involved in the entire development lifecycle.
References
Aguirre, S., & Rodriguez, A. (2017, September). Automation of a business process using robotic process automation (RPA): A case study. In Workshop on Engineering Applications (pp. 65-71). Springer, Cham.
Moffitt, K. C., Rozario, A. M., & Vasarhelyi, M. A. (2018). Robotic process automation for auditing. Journal of Emerging Technologies in Accounting, 15(1), 1-10.
Van der Aalst, W. M., Bichler, M., & Heinzl, A. (2018). Robotic process automation.