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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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    References listed on IDEAS

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