Modernizing Legacy Systems Using Robotic Process Automation (RPA)

Abstract

Legacy systems represent critical infrastructure for organizations globally, yet pose substantial challenges in  integration, maintenance, and digital transformation alignment. Robotic Process Automation has emerged as a  transformative technology bridging the gap between outdated legacy architectures and modern enterprise  requirements without necessitating complete system replacement. This research examines RPA application in  legacy system modernization through comprehensive analysis of implementation frameworks, cost-benefit evaluations, security considerations, and industry-specific deployment patterns. Analysis reveals that RPA  implementations achieved processing time reductions of 60-75% across sectors, with return on investment  ranging from 190% to 340% and payback periods averaging 6-9 months.