Intelligent Process Automation Using Artificial Intelligence to Create Human Assistant

This paper presents a systematic literature review on Intelligent Process Automation (IPA), focusing on its role in modernizing business operations. It explores the integration of AI, including machine learning and robotic process automation, and their combined impact on improving efficiency and supporting human-centric tasks. The review examines the synergy between AI and human expertise, highlighting how this collaboration enhances decision-making, reduces errors, and speeds up task execution. It also investigates how digital assistants within the IPA framework redefine operational processes, supported by case studies and empirical research. The paper addresses challenges and ethical concerns related to AI integration, offering insights on risk management and ethical AI use. In conclusion, it emphasizes the paradigm shift created by AI-driven IPA, optimizing business processes and focusing on cognitive tasks, and contributing to the ongoing discussion about AI's transformative impact on human-machine collaboration.

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Publication Details

Journal
International Journal of Software Science and Computational Intelligence
Published
2025-03-27
DOI
https://doi.org/10.4018/ijssci.371761
Citations
7
Primary Topic
Robotic Process Automation Applications
Type
article
Field-Weighted Citation Impact
8.70
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Intelligent Process Automation Using Artificial Intelligence to Create Human Assistant

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Intelligent Process Automation Using Artificial Intelligence to Create Human Assistant

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article en
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Abstract

This paper presents a systematic literature review on Intelligent Process Automation (IPA), focusing on its role in modernizing business operations. It explores the integration of AI, including machine learning and robotic process automation, and their combined impact on improving efficiency and supporting human-centric tasks. The review examines the synergy between AI and human expertise, highlighting how this collaboration enhances decision-making, reduces errors, and speeds up task execution. It also investigates how digital assistants within the IPA framework redefine operational processes, supported by case studies and empirical research. The paper addresses challenges and ethical concerns related to AI integration, offering insights on risk management and ethical AI use. In conclusion, it emphasizes the paradigm shift created by AI-driven IPA, optimizing business processes and focusing on cognitive tasks, and contributing to the ongoing discussion about AI's transformative impact on human-machine collaboration.

International Journal of Software Science and Computational IntelligenceVol. 17(1)
Sindh Madressatul Islam University (PK), Umm al-Qura University (SA), Bahria University (PK)
Openalex Percentile: Top 3%
Robotic Process Automation Applications
8.70
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