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Leveraging Sap Joule AI for Autonomous Business Process Optimization In 2025

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  • Sankar Thambireddy
  • Venkata Ramana Reddy Bussu
  • Arunkumar Pasumarthi

Abstract

With a fast-changing digital environment and an added desire among businesses to achieve efficient operations and reduce costs, artificial intelligence (AI) is becoming a necessary component within enterprise resource planning (ERP) systems. Encompassing an innovative solution of SAP Joule AI, the possibility of an autonomous system optimization of business processes is given due to machine learning, predictive analytics, and real-time data processing. This paper discusses how SAP Joule AI could change business processes in various industries in 2025, especially its ability to automate business and decision-making processes and improve operational efficiency. An in-depth analysis of its technological base, the implementation approaches, and the expected financial implications for the business, this paper presents a usable perspective of how SAP Joule AI will transform the future of enterprise systems. Reading the case studies and investigating the new trends offers practical knowledge to businesses that need to remain competitive in an environment that is getting more AI-driven.

Suggested Citation

  • Sankar Thambireddy & Venkata Ramana Reddy Bussu & Arunkumar Pasumarthi, 2025. "Leveraging Sap Joule AI for Autonomous Business Process Optimization In 2025," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 8(1), pages 241-257.
    • Handle: RePEc:das:njaigs:v:8:y:2025:i:1:p:241-257:id:382
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    1. Babu George & Ontario Wooden, 2023. "Managing the Strategic Transformation of Higher Education through Artificial Intelligence," Administrative Sciences, MDPI, vol. 13(9), pages 1-20, August.
    2. Christian Engel & Philipp Ebel & Jan Marco Leimeister, 2022. "Cognitive automation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 339-350, March.
    3. Khogali, Hisham O. & Mekid, Samir, 2023. "The blended future of automation and AI: Examining some long-term societal and ethical impact features," Technology in Society, Elsevier, vol. 73(C).
    4. Wright, Scott A. & Schultz, Ainslie E., 2018. "The rising tide of artificial intelligence and business automation: Developing an ethical framework," Business Horizons, Elsevier, vol. 61(6), pages 823-832.
    5. Appelbaum, Deniz & Kogan, Alexander & Vasarhelyi, Miklos & Yan, Zhaokai, 2017. "Impact of business analytics and enterprise systems on managerial accounting," International Journal of Accounting Information Systems, Elsevier, vol. 25(C), pages 29-44.
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