Leveraging AI in RPA: The Future of Intelligent Automation

<p>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.</p>

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-10
DOI
https://doi.org/10.5281/zenodo.14982420
Primary Topic
Robotic Process Automation Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging AI in RPA: The Future of Intelligent Automation

Zenodo (CERN European Organization for Nuclear Research)
Robotic Process Automation Applications
article

Leveraging AI in RPA: The Future of Intelligent Automation

article en

Abstract

<p>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.</p>

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 53%
Robotic Process Automation Applications
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Leveraging AI in RPA: The Future of Intelligent Automation · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS