A Path Forward for Automation in Robotic Process Automation Projects: Potential Process Selection Strategies

Abstract

Today's businesses are continually gazing for innovative methods to digitize and automate their processes with the intention to maximize production and efficiency. Organizations are increasingly using automation for manual and repetitive routines or operations as a result of the massive digitization of processes. Robotic Process Automation (RPA) is a software solution that mimics human behavior in the form of a “Software ROBOT,” which is configured and programmed to perform repetitive organizational chores that humans accomplish. RPA is a new field that focuses on automating business processes with predictable outcomes and routines. RPA can automate rule-based procedures with deterministic results, structured data, and regular operations. Organizations use RPA products like Automation Anywhere and User Interfaces (UI) Path Enterprise RPA Platform to automate repetitive activities by executing scripts that encode sequences of interactions with the UI supplied by the organizations’ Information Systems. Business proposal contracts, consumer credit lines, insurance premium sales, energy bill creation, health care insurance claim payment, and employee record maintenance are just a few of the applications for RPA, which is a commonly used software solution for automating business processes. However, “which process is to be automated,” “what qualities make a process ideal for automation,” and “how to priorities the processes for RPA deployment” are the primary challenges with RPA. This paper describes three different ways for finding processes that can be automated: Robotic Process Mining (RPM), Process Quantifiable-based approaches, and survey-based strategies. These three techniques offer new perspectives on how to address the problems that have arisen in the RPA domain.