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Leveraging AI in RPA: The Future of Intelligent Automation

Author(s) Sai Sneha
Country United States
Abstract Artificial Intelligence (AI) is transforming Robotic Process Automation (RPA) by enabling automation solutions that are more intelligent, adaptive, and capable of handling unstructured data. Un- like traditional rule-based RPA, AI-powered automation leverages machine learning (ML), natural language processing (NLP), and computer vision to enhance decision-making, automate complex tasks, and improve efficiency. This paper explores how AI enhances RPA, from intelligent document processing and predictive analytics to AI- driven chatbots and cybersecurity. Organizations adopting AI in RPA have reported significant cost savings, improved accuracy, and faster process- ing times. For instance, businesses leveraging AI-driven RPA for document processing have achieved 70% reduction in manual effort and annual savings of over $500,000. AI-powered process mining has helped companies increase automation success rates by 50%, optimizing workflows and reducing bottlenecks. As hyperautomation becomes the future of business operations, organizations need to integrate AI into their RPA strategies to remain competitive. This paper provides insights into the practical applications, quantifiable benefits, and future trends shaping the next generation of intelligent automation.
Keywords Robotic Process Automation (RPA), Database Integration, UiPath, AI
Published In Volume 5, Issue 12, December 2024
Published On 2024-12-10
Cite This Leveraging AI in RPA: The Future of Intelligent Automation - Sai Sneha - IJLRP Volume 5, Issue 12, December 2024. DOI 10.5281/zenodo.14982420
DOI https://doi.org/10.5281/zenodo.14982420
Short DOI https://doi.org/g86873

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