Candidate Digital Tasks Selection Methodology for Automation with Robotic Process Automation

Abstract

Today’s business environments face rapid digital transformation, engendering the continuousemergingofnewtechnologies. RoboticProcessAutomation(RPA)isoneofthenewtechnologies rapidly and increasingly grabbing the attention of businesses. RPA tools allow mimicking human tasksbyprovidingavirtualworkforce,ordigitalworkersintheformofsoftwarebots,forautomating manual, high-volume, repetitive, and routine tasks. The goal is to allow human workers to delegate their tedious routine tasks to a software bot, thus allowing them to focus on more dif?cult tasks. RPA tools are simple and very powerful, according to cost-saving and other performance metrics. However, the main challenge of RPA implementation is to effectively determine the business tasks suitable for automation. This paper provides a methodology for selecting candidate tasks for robotic process automation based on user interface logs and process mining techniques.