Srovnání přínosů RPA na příkladu robotizace konkrétního procesu

Robotic process automation (RPA) reached its peak of popularity at the beginning of the covid-19 pandemic (late 2019) and is still one of the most popular forms of business process automation. A common problem in planning RPA projects is the overestimation of the estimated benefits of automation due to the expected ease of implementation and speed of ROI that large organizations expect from RPA implementation. Inaccurate estimation of benefits negatively affects the prioritization of change projects in the organization. The main objective of this thesis is to compare the estimated and actual benefits of a Robotic Process Automation (RPA) project using the example of automation of a specific business process of a prominent Czech financial institution (hereafter referred to as the Company) and to formulate recommendations for more accurate estimation of benefits and RPA project and increase the probability of achieving the estimated benefits. The recommendations will help RPA project sponsors more accurately estimate benefits before project initiation and provide practical advice to implementation teams on increasing the likelihood of achieving the estimated benefits during the project's analysis, design, and implementation phases. A literature search of publicly available sources is used to characterize the RPA field and identify the potential benefits of robotics. Guided interviews are conducted with the implementation team of these projects to obtain input for qualitative research. A catalog of recommendations is developed based on qualitative research to estimate the benefits of RPA more accurately. The recommendations are applied to estimate the benefits of a specific robotics project to verify them in practice. To determine the estimated benefits, guided interviews are conducted with process owners to develop a project plan and estimate the expected benefits of the project. According to the project plan, a detailed analysis of the robotized process is performed, followed by the design, implementation, testing, and deployment of the software robot in the Blue Prism platform. Furthermore, data collection with robot operation is performed to determine the real benefits of robotizing the selected process. A comparison with the estimated benefits follows this. The catalog of recommendations is updated based on the knowledge gained during the implementation and observation of the operation of the software robot. The main output of the thesis is a catalog of recommendations, verified by the example of automation of the selected process. The secondary output is the automation of the process chosen and the resulting benefits for the Company.