Abstract
With an emphasis on their use in the US market, this paper examines the revolutionary effects of AI-powered autonomous agents on next-generation business automation. Advanced machine learning, natural language processing, and adaptive algorithms are enabling autonomous agents, which are changing operational workflows in a variety of sectors, including retail, healthcare, and finance. This study illustrates real-world issues and solutions pertaining to workforce dynamics, scalability, and compliance by incorporating case studies from top U.S. businesses. In order to offer a comprehensive grasp of the potential and constraints of these systems, it also explores recent technological innovations like AI explainability and reinforcement learning. The paper provides a balanced viewpoint for CTOs, investors, and product managers navigating the changing business automation landscape by addressing ethical, operational, and regulatory issues. Finally, this work provides a strategic roadmap for organizations aiming to leverage autonomous agents to drive efficiency, innovation, and competitive advantage in a rapidly changing market.
Keywords
Robotic process automation (RPA) vs AI agents, Smart agents in digital transformation, Decision-making AI agents, Business process automation (BPA), Autonomous process automation, Next-gen business automation, AI-poweredautonomousagents
Citations
IRE Journals:
Adnan Ghaffar
"Al-Powered Autonomous Agents and Their Role in Next-Gen Business Automation" Iconic Research And Engineering Journals Volume 9 Issue 1 2025 Page 1489-1501
IEEE:
Adnan Ghaffar
"Al-Powered Autonomous Agents and Their Role in Next-Gen Business Automation" Iconic Research And Engineering Journals, 9(1)
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IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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