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Intelligent Process Automation Using Artificial Intelligence to Create Human Assistant

Intelligent Process Automation Using Artificial Intelligence to Create Human Assistant

Syed Muhammad Hassan Zaidi (Sind Madresatual Islam University, Karachi, Pakistan), Rizwan Iqbal (Bahria University, Karachi, Pakistan), Ayman Alharbi (Umm Al-Qura University, Saudi Arabia), Habib Hussain Zuberi (Bahria University, Karachi, Pakistan), Adnan Ahmed (Bahria University, Karachi, Pakistan), and Muhammad Usman Sheikh (Berlin School of Business and Innovation, Germany)
Copyright: © 2025 |Pages: 19
DOI: 10.4018/IJSSCI.371761
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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.
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2. Literature Review

Earlier studies conducted to create AI based collaborator explain the necessity for co-bots (A human-robot collaborator) to adapt short-term and sustained human behavior. It emphasizes the importance of social co-bots that can coordinate well with human partners, adapting to individual differences and long-lasting personal habits, trust, and preferences. One of the model focuses on Anticipatory Decision-Making Component which deals with unanticipated human behavior and their changing preferences during real-time collaboration tasks.

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