Analytical Study of Adapting Oracle AI Agent Studio into Oracle ERP Overview Article Swipe
Pavan Kumar Rajagopal Prakashkumar
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.58425/ijeib.v3i1.452
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.58425/ijeib.v3i1.452
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.
Related Topics
Concepts
Computer science
Oracle
Workflow
Software engineering
Enterprise resource planning
Implementation
Business process
Process management
Process (computing)
Intelligent agent
Software agent
Audit
Knowledge management
Key (lock)
Business process management
Multi-agent system
Decision support system
Workflow management system
Cloud computing
Business intelligence
Workload
Enterprise system
Scripting language
Workflow engine
Systems architecture
Information system
Automation
Database
Human–computer interaction
IBM
Legacy system
Business process reengineering
Autonomous agent
Artificial intelligence
Metadata
- Type
- article
- Landing Page
- https://doi.org/10.58425/ijeib.v3i1.452
- https://gprjournals.org/journals/index.php/ijeib/article/download/452/452
- OA Status
- diamond
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All OpenAlex metadata
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https://openalex.org/W7110437062Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.58425/ijeib.v3i1.452Digital Object Identifier
- Title
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Analytical Study of Adapting Oracle AI Agent Studio into Oracle ERP OverviewWork title
- Type
-
articleOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
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2025-12-07Full publication date if available
- Authors
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Pavan Kumar Rajagopal PrakashkumarList of authors in order
- Landing page
-
https://doi.org/10.58425/ijeib.v3i1.452Publisher landing page
- PDF URL
-
https://gprjournals.org/journals/index.php/ijeib/article/download/452/452Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://gprjournals.org/journals/index.php/ijeib/article/download/452/452Direct OA link when available
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Computer science, Oracle, Workflow, Software engineering, Enterprise resource planning, Implementation, Business process, Process management, Process (computing), Intelligent agent, Software agent, Audit, Knowledge management, Key (lock), Business process management, Multi-agent system, Decision support system, Workflow management system, Cloud computing, Business intelligence, Workload, Enterprise system, Scripting language, Workflow engine, Systems architecture, Information system, Automation, Database, Human–computer interaction, IBM, Legacy system, Business process reengineering, Autonomous agent, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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| abstract_inverted_index.agents | 11, 50, 87, 134, 172 |
| abstract_inverted_index.author | 166 |
| abstract_inverted_index.making | 184 |
| abstract_inverted_index.module | 61 |
| abstract_inverted_index.reduce | 102 |
| abstract_inverted_index.system | 31, 107, 152 |
| abstract_inverted_index.within | 12, 71, 173 |
| abstract_inverted_index.agentic | 69 |
| abstract_inverted_index.design, | 44 |
| abstract_inverted_index.enhance | 25 |
| abstract_inverted_index.examine | 8 |
| abstract_inverted_index.focuses | 41 |
| abstract_inverted_index.further | 177 |
| abstract_inverted_index.improve | 30, 106, 181 |
| abstract_inverted_index.making, | 95 |
| abstract_inverted_index.operand | 62 |
| abstract_inverted_index.overall | 35 |
| abstract_inverted_index.problem | 97 |
| abstract_inverted_index.process | 28, 63 |
| abstract_inverted_index.prompts | 122 |
| abstract_inverted_index.support | 88, 187 |
| abstract_inverted_index.systems | 23, 137, 175 |
| abstract_inverted_index.Methods: | 38 |
| abstract_inverted_index.Results: | 81 |
| abstract_inverted_index.advanced | 89 |
| abstract_inverted_index.aligning | 144 |
| abstract_inverted_index.business | 27, 36, 190 |
| abstract_inverted_index.decision | 93, 182 |
| abstract_inverted_index.enhances | 138 |
| abstract_inverted_index.evolving | 156 |
| abstract_inverted_index.finance, | 77 |
| abstract_inverted_index.optimize | 34, 178 |
| abstract_inverted_index.residing | 51 |
| abstract_inverted_index.solving, | 99 |
| abstract_inverted_index.systems. | 163 |
| abstract_inverted_index.workflow | 90, 179 |
| abstract_inverted_index.workload | 104 |
| abstract_inverted_index.automated | 113, 120 |
| abstract_inverted_index.benefits. | 126 |
| abstract_inverted_index.concludes | 130 |
| abstract_inverted_index.creation, | 116 |
| abstract_inverted_index.discusses | 66 |
| abstract_inverted_index.efficient | 189 |
| abstract_inverted_index.openness, | 140 |
| abstract_inverted_index.practical | 150 |
| abstract_inverted_index.Artificial | 159 |
| abstract_inverted_index.Oracle’s | 21 |
| abstract_inverted_index.author’s | 147 |
| abstract_inverted_index.compliance | 117 |
| abstract_inverted_index.contextual | 92 |
| abstract_inverted_index.functional | 125 |
| abstract_inverted_index.highlights | 112 |
| abstract_inverted_index.integrated | 19 |
| abstract_inverted_index.management | 47 |
| abstract_inverted_index.processes, | 185 |
| abstract_inverted_index.recommends | 167 |
| abstract_inverted_index.workflows, | 118 |
| abstract_inverted_index.Conclusion: | 127 |
| abstract_inverted_index.automation, | 29, 91, 180 |
| abstract_inverted_index.deployment, | 45 |
| abstract_inverted_index.efficiency, | 143 |
| abstract_inverted_index.integrating | 132 |
| abstract_inverted_index.integration | 169 |
| abstract_inverted_index.intelligent | 26 |
| abstract_inverted_index.operational | 142 |
| abstract_inverted_index.operations. | 37, 80, 191 |
| abstract_inverted_index.perspective | 148 |
| abstract_inverted_index.stakeholder | 121 |
| abstract_inverted_index.Applications | 75 |
| abstract_inverted_index.Intelligence | 160 |
| abstract_inverted_index.scalability, | 153 |
| abstract_inverted_index.optimization. | 64 |
| abstract_inverted_index.implementation, | 151 |
| abstract_inverted_index.implementations | 67 |
| abstract_inverted_index.responsiveness, | 32, 139 |
| abstract_inverted_index.responsiveness. | 108 |
| abstract_inverted_index.Recommendations: | 164 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 1 |
| citation_normalized_percentile.value | 0.81548865 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |