| Issue |
ITM Web Conf.
Volume 76, 2025
Harnessing Innovation for Sustainability in Computing and Engineering Solutions (ICSICE-2025)
|
|
|---|---|---|
| Article Number | 01005 | |
| Number of page(s) | 10 | |
| Section | Artificial Intelligence & Machine Learning | |
| DOI | https://doi.org/10.1051/itmconf/20257601005 | |
| Published online | 25 March 2025 | |
Robotic Process Automation in Business Processes Streamlining Operations Through Automation Technologies
1 CEO MahaaAi Group of Companies and International Labs, Dallas Texas, USA
2 Associate Professor, Department of CSIT, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur District, Andhra Pradesh, India
3 Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad - 500043, India
4 Professor, Department of Mechanical Engineering, J.J.College of Engineering and Technology, Tiruchirappalli, Tamil Nadu, India
5 Department of Electronic and Telecommunication Engineering, International Islamic University Chittagong, Chittagong, Bangladesh
6 Assistant Professor, Department of Information Technology, New Prince Shri Bhavani College of Engineering and Technology, Chennai, Tamil Nadu, India
Narender.chinthamu@gmail.com
dr.aashishsinha@gmail.com
victor.e.raju@gmail.com
mathis09051970@yahoo.co.in
szrashidcce@yahoo.com
India.jothi.e@newprinceshribhavani.com
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.
Key words: Robotic process automation / business process automation / AI-powered RPA / intelligent automation / process mining / workforce collaboration / security concerns / ethical compliance / scalability / return on investment / digital transformation / machine learning / natural language processing / case study / data-driven RPA / operational efficiency / Industry 4.0 / automation architecture / risk prophecies / adaptive RPA
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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