Abstract
Nowadays, there is a trend in automating repetitive tasks in order to reduce human errors or costs. Digitization asks for new strategies in business processes. Robotic Process Automation (RPA) includes a set of emerging technologies that promises the automation of business processes by using software robots that are trained based on human tasks. Companies need to constantly monitor their own business processes in order to identify and optimize processes suitable for automation. In 2018, Forrester identified UiPath, Automation Anywhere, and Blue Prism as being the leaders providing RPA solutions by using 30-criteria evaluation. This paper examines ten case studies of companies integrating RPA and presents a series of lessons provided by practice. Not all processes are suitable for automation, all case studies identifying five fundamental criteria to be considered.
Highlights
Core of this paper: the depiction of ten case studies about Robotic Process Automation (RPA) implementation
Business Process Automation (BPA) module within a Business Process Management Systems (BPMSs) is more suitable for repetitive tasks, tasks that are duplicated in other processes, inefficient or outdated workflow processes, or new businesses or IT initiatives [21]
RPA should be seen as a complement of BPMSs or other type of system or IT technology, not as its rival as automating existing processes requires a structured approach to process analysis which is a critical aspect for RPA
Summary
Automated processes belonging to case studies of successful RPA implementation are depicted. A detailed discussion and analysis follows next. All companies mentioned in the case studies automated back-office tasks/processes. Frontoffice process automation was only considered within one case study together with backoffice process automation within payment receipt generation process. Two case studies belonging to outsourcing companies do not mention the tools or methods used in RPA implementation. Blue Prism is mentioned in 3 out of 10 case studies, while Celonis is used in 2 case studies. One case study using UiPath and one using Automation Anywhere are investigated. An RPA implementation using Deep Convolutional Neural Networks is introduced
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