1 University of Calabar, Computer Science, Calabar, Cross River, Nigeria.
2 Adekunle Ajasin University, Plant Science and Biotechnology, Akungba Akoko, Ondo State.
3 Federal University Of Technology, Akure, Meteorology, Akure, Ondo, Nigeria.
Research Article
Global Journal of Engineering and Technology Advances, 2025, 24(02), 091-108.
Article DOI: 10.30574/gjeta.2025.24.2.0236
Received on 23 June 2025; revised on 02 August 2025; accepted on 04 August 2025
The development of Enterprise Resource Planning (ERP) systems is at a significant point of change by the introduction of agentic artificial Intelligence into it. The current paper provides a close examination of SAP Joule collaborative agent model in purchases, finance, and logistic. To demonstrate the effect of agentic AI on the way traditional ERP workflows change into intelligent self-contained business process, we review agent interactions, implementation case studies, and performance measurements. According to the results obtained by us, there is a significant increase in efficiency, accuracy in making decisions, and synergy between departments in the case of collaborative Joule agents. In this study, the researcher can gain insights into how companies are implementing AI into their businesses and use it as a guideline on how to incorporate agentic AI into an organization that is planning to implement the software in their SAP
Agentic Ai; Sap Joule; Enterprise Resource Planning; Collaborative Agents; Business Process Automation; Cross-Functional Integration
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Daniel Felix Eyo, Oluwatosin Oluwaseun Adeniran and Kingsley Olunosen Osobase. Agentic AI in SAP: Collaborative joule agents across procurement, finance and logistics. Global Journal of Engineering and Technology Advances, 2025, 24(2), 091-108. Article DOI: https://doi.org/10.30574/gjeta.2025.24.2.0236
