Intelligent Process Automation using Artificial Intelligence and SAP Integration for Enterprise Transformation
Abstract
Intelligent Process Automation (IPA) is emerging as a transformative approach for enterprises seeking to enhance efficiency, reduce operational costs, and drive digital transformation. IPA combines Robotic Process Automation (RPA) with Artificial Intelligence (AI) capabilities, enabling organizations to automate not only repetitive tasks but also complex decision-making processes. The integration of IPA with enterprise systems such as SAP facilitates seamless data flow, real-time analytics, and intelligent decision-making, thereby optimizing core business processes across finance, supply chain, human resources, and customer service. This study investigates the impact of AI-driven IPA on enterprise performance, focusing on its implementation within SAP environments. A mixed-method approach, incorporating qualitative case studies and quantitative performance metrics, was adopted to evaluate the effectiveness, scalability, and adaptability of IPA solutions. Findings indicate that enterprises leveraging AI-powered IPA experience significant reductions in process cycle times, enhanced accuracy in data management, and improved compliance with regulatory requirements. Furthermore, SAP integration ensures that automation is synchronized with existing business workflows, enhancing overall operational coherence. The study also highlights key challenges, including change management, system compatibility, and the need for skilled personnel to oversee AI-based automation initiatives. The research concludes that intelligent process automation, when strategically integrated with SAP, not only drives operational efficiency but also fosters innovation, agility, and competitive advantage. Recommendations for practitioners include developing a robust governance framework, prioritizing processes suitable for automation, and fostering a culture of continuous learning and AI adoption. This paper contributes to the growing body of knowledge on digital enterprise transformation and provides actionable insights for organizations aiming to leverage IPA and SAP for sustainable growth.
Article Information
Journal |
International Journal of Future Innovative Science and Technology (IJFIST) |
|---|---|
Volume (Issue) |
Vol. 7 No. 6 (2024): International Journal of Future Innovative Science and Technology (IJFIST) |
DOI |
|
Pages |
13813 - 13819 |
Published |
November 1, 2024 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Ashok Raghunath Joshi (2024). Intelligent Process Automation using Artificial Intelligence and SAP Integration for Enterprise Transformation. International Journal of Future Innovative Science and Technology (IJFIST) , Vol. 7 No. 6 (2024): International Journal of Future Innovative Science and Technology (IJFIST) , pp. 13813 - 13819. https://doi.org/10.15662/IJFIST.2024.0706001 |
References
No references available for this article