Analytical Study of Adapting Oracle AI Agent Studio into Oracle ERP Overview
DOI:
https://doi.org/10.58425/ijeib.v3i1.452Keywords:
Oracle ERP, Oracle Fusion Cloud, Agentic AI, Business Automation, Autonomous ERP Agents, Finance Automation, HR Automation, Audit Preparation, Decision Support, Digital Transformation, System Integration, AI ToolsAbstract
Aim: The aim of the paper is to examine how AI agents within Oracle AI Agent Studio can be integrated into Oracle’s ERP systems to enhance intelligent business process automation, improve system responsiveness, and optimize overall business operations.
Methods: The paper focuses on the design, deployment, and management of AI agents residing in Oracle Agent Studio and their role in ERP module operand process optimization. It discusses implementations of agentic AI within Oracle Fusion Cloud Applications across finance, HR, and operations.
Results: The study finds that AI agents support advanced workflow automation, contextual decision - making, and problem - solving, which help reduce user workload and improve system responsiveness. The paper also highlights automated audit log creation, compliance workflows, and automated stakeholder prompts as key functional benefits.
Conclusion: The paper concludes that integrating AI agents into ERP systems enhances responsiveness, openness, and operational efficiency, aligning with the author’s perspective on practical implementation, system scalability, and the evolving role of Artificial Intelligence in ERP systems.
Recommendations: The author recommends the integration of AI agents within ERP systems to further optimize workflow automation, improve decision - making processes, and support more efficient business operations.
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Copyright (c) 2025 Pavan Kumar Rajagopal Prakashkumar

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