Robotic Process Automation in Business Processes Streamlining Operations Through Automation Technologies

Abstract

RPA also known as Robotic Process Automation is revolutionizing the way businesses operate by automating mundane tasks, increasing operational efficiency, and lowering the overall operational cost. Yet, researchers study theoretical benefits prevalent in the State of the Art, without validating them empirically, or studying their impact across industries or in the long term. About the study This study aspires to fill these gaps, offering a data and challenge-driven and scalable framework of RPA adoption. In this study, we incorporate real-world perspectives, AI-supported automation, and process mining methods in the quest for RPA optimization, differing from earlier investigations. RPA long-term return on investment, workforce collaboration, ethical auditing, security challenges and responsibility in automation. We also present a scalable and adaptive RPA framework for SMEs as well as large enterprises. In addition, our research findings prove that AI-enabled RPA increases operational efficiency and helps firms enhance decision-making with the aid of machine learning (ML) and natural language processing (NLP). This study proposes a detailed roadmap for sustainable and intelligent automation in business processes by considering scalability, security, compliance, and workforce integration.