Articles Open Access
Multi Agent Systems for Enterprise Intelligence with Intelligent Automation Cloud Native Computing and Secure Digital Ecosystems
University of Southern Indiana, Evansville, United States
Abstract
Multi-agent systems (MAS) have emerged as a foundational paradigm for next-generation enterprise intelligence, enabling distributed, autonomous, and cooperative software agents to solve complex organizational problems. In modern digital enterprises, the convergence of intelligent automation, cloud-native computing, and secure digital ecosystems has created an environment where traditional monolithic architectures are insufficient for scalability, adaptability, and resilience. Multi-agent systems provide a decentralized computational model in which autonomous agents perceive their environment, reason independently, and collaborate dynamically to achieve enterprise-wide objectives. This paper explores the integration of MAS within enterprise intelligence frameworks, emphasizing how intelligent automation enhances operational efficiency, how cloud-native architectures enable elasticity and distributed execution, and how secure digital ecosystems ensure trust, privacy, and compliance in interconnected systems. The study highlights the role of MAS in decision support systems, predictive analytics, supply chain optimization, cybersecurity orchestration, and adaptive business process management. It also examines how containerization, microservices, and orchestration platforms such as Kubernetes support agent deployment and lifecycle management in cloud environments. Furthermore, the paper investigates security challenges including inter-agent trust, identity management, and secure communication protocols in decentralized systems. By synthesizing current research and methodologies, this work presents a holistic view of MAS-driven enterprise intelligence as a transformative approach for digital transformation in organizations operating in highly dynamic and data-intensive environments
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Publication Information
| Journal | International Research Journal of Innovative Engineering |
|---|---|
| Volume | 10 |
| Number | 1 |
| Pages | 18350-18357 |
| Published | 2026-02-15 |
| Issue | Vol. 10 No. 1 (2026): International Research Journal of Innovative Engineering (IRJIE) |
References
1. Chettiyar, S. S. S. (2025). Agentic orchestration and integration of PBX and SaaS CRM platforms. International Journal of Computer Technology and Electronics Communication (IJCTEC), 8(2), 10451–10467. https://doi.org/10.15680/IJCTECE.2025.0802014
2. Prasanna Kumar Natta. (2022). Computer-vision-assisted retail inventory automation: Integrating autonomous scan data with worklist completion systems. International Journal of Science, Research and Technology, 5(6), 8957–8969. https://doi.org/10.15662/IJSRAT.2022.0506009
3. Chaba, A. (2024). Unified Customer Identity and Profile Architecture for Customer Enterprise Orchestration. International Journal of Engineering & Extended Technologies Research (IJEETR), 6(6), 9272-9285.
4. Govindan, V. (2025). Vendor dependency to enterprise sovereignty: A phased migration approach for enterprise applications. International Journal of Computer Technology and Electronics Communication (IJCTEC), 8(4), 11176–11185. https://doi.org/10.15680/IJCTECE.2025.0804021
5. Sonawane, S. (2025). Zero-touch OEM onboarding: End-to-end automation from deal registration to license provision. International Journal of Applied Mathematics, 38(12S), 563–571. https://doi.org/10.12732/ijam.v38i12s.1400
6. Gandikota, S. P. (2023). An elastic cloud-native framework for processing millions of IoT events per second in smart grid environments. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8049–8063. https://doi.org/10.15662/IJRPETM.2023.0601006
7. Singh, A. (2025). AI-driven autonomous network control planes for large-scale infrastructure networks. International Journal of Computer Technology and Electronics Communication, 8(6), 11705-11715.
8. Meesala, A. (2022). Adaptive Spread Anomaly Intelligence Framework (ASAIF): A cloud-native AI framework for real-time bid-ask spread anomaly detection and cross-venue liquidity risk intelligence. International Journal of Future Innovative Science and Technology (IJFIST), 5(6), 9597–9604.
9. Damarched, M. K., & Pandity, S. (2025). Improving Software Reliability Through Automated Testing Frameworks in Enterprise Systems. International Journal of Engineering & Extended Technologies Research (IJEETR), 7(6), 11183-11190.
10. Gummadi, V. P. K. (2023). MuleSoft batch processing: High-volume streaming architecture. Computer Fraud & Security, 2023(12), 50–57. https://doi.org/10.52710/cfs.886
11. Veershetty, G. (2025). Conversational ERP: Governance and Control Models for Generative AI Assistants in SAP Operations. Available at SSRN 6890101.
12. Sarngadharan, S. (2023). Federated data pipelines enabling continuous contract and asset state traceability. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8114–8123. https://doi.org/10.15662/IJRPETM.2023.0601011
13. Potdar, A., Kodela, V., Srinivasagopalan, L. N., Khan, I., Chandramohan, S., & Gottipalli, D. (2025, July). Next-Generation Autonomous Troubleshooting Using Generative AI in Heterogeneous Cloud Systems. In 2025 International Conference on Information, Implementation, and Innovation in Technology (I2ITCON) (pp. 1-7). IEEE.
14. Mannem, S. (2023). Intelligent service behavior analysis for early cyber threat prediction. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8077–8088. https://doi.org/10.15662/IJRPETM.2023.0601008
15. Mohammed, S. (2024). Enterprise AI and data platform foundations using Azure Databricks and Synapse. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 7(3), 10395–10399.
16. Suresh Gangula. (2025). Secure DevOps in Retail Cloud: Strategies for Compliance and Resilience. The American Journal of Engineering and Technology, 7(05), 109–122. https://doi.org/10.37547/tajet/Volume07Issue05-09.
17. Gopisetty, S. (2024). Why was my transaction flagged? Building counterfactual stories for AI threat detection in real-time ERP systems. QIT Press - International Journal of Artificial Intelligence Research and Development (QITP-IJAIRD), 5(1), 20–56.
18. Mathew, A. (2025). Secure and Scalable AI-Integrated Cloud Infrastructure for HIPAA-Compliant Healthcare Financial Operations. International Journal of Future Innovative Science and Technology (IJFIST), 8(4), 15296.
19. Chaganti, S. (2023, September). The "Momentum" pipeline: A real-time behavioural intelligence architecture for hyper-personalization and 2.5× conversion uplift in digital commerce. Journal of Information Systems Engineering and Management, 8(3), 1–12.
20. Navandar, P. (2023). Privacy preserving federated learning for distributed intrusion detection: Differential privacy guarantees, non-IID convergence, and Byzantine robustness. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(4), 9055–9062. https://doi.org/10.15662/IJRPETM.2023.0604011
21. Pothuri, M. K. (2025). AI-Driven Reusable Unified Extract for Multi-State Medicaid and Federal Reporting-a Product that saves Millions of Taxpayer Money through process efficiency and reusability. International Journal of AI, BigData, Computational and Management Studies, 6(4), 211-216.
22. Kandula, S. T. R. (2025, July). Comparison and Performance Assessment of Intelligent ML Models for Forecasting Cardiovascular Disease Risks in Healthcare. In 2025 International Conference on Sensors and Related Networks (SENNET) Special Focus on Digital Healthcare (64220) (pp. 1-6). IEEE.
23. Soni, H., Perla, S., Maddela, S., & Kumar, U. (2025, November). Generative AI in Cloud CRM: Securing Intelligent Workflows in Multi-Cloud Environments. In 2025 IEEE 3rd Global Conference on Wireless Computing and Networking (GCWCN) (pp. 1-9). IEEE.
24. Reshwanth, K. N. G. L., Rajyalakshmi, G., Prasanth, Y. V. S., Hanish, C., Raj, S. A., & Jayakrishna, K. (2023). Blockchain technology approach for drug delivery in health care: A review. Blockchain in a Volatile-Uncertain-Complex-Ambiguous World, 89-99.
25. Pandey, C. P., Upadhyay, H., Kale, A., Joshi, P., & Sri, B. (2026). AI-driven fraud detection and risk forecasting framework for real-time financial transactions. Scientific Culture, 12(1, Part 1), 3425.
26. Prakashkumar, P. K. R. (2025). Secure bank integration framework for Oracle ERP Fusion: Enhancing payment disbursement, Auto Lockbox, and bank account reconciliation. European Economic Letters, 15(4), 2505–2517. https://doi.org/10.52783/eel.v15i4.4082
27. Velishala, S. (2025). AI-based decision support systems for healthcare DevOps: Improving reliability and decision-making in software development. Journal of Advanced Research in Engineering and Technology, 2(1).
28. Juvvadi, R. R. (2018). Continuous accounting: Toward a real-time financial reporting architecture for the modern enterprise. Computer Fraud & Security, 2018(12), 33–41.
29. Adari, V. K. (2024). How Cloud Computing is Facilitating Interoperability in Banking and Finance. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 7(6), 11465-11471.
30. Prakashkumar, P. K. R. (2025). Analytical Study of Adapting Oracle AI Agent Studio into Oracle ERP Overview. International Journal of Entrepreneurship, Innovation, and Business Strategies, 3(1), 90-103.
31. Gurram, S. K. (2024). Federated learning for anomaly detection in distributed systems. International Journal of Future Innovative Science and Technology (IJFIST), 7(6), 14031–14040.
32. Anumula, S. K. (2025). Next-gen supply chains: A product lifecycle management–based approach to resilient and sustainable operations. International Journal of Managing Value and Supply Chains (IJMVSC), 16.
33. Chenna, S. (2023). Solution-led integration architecture in Oracle EBS: A dual case study from foundational enterprise engagements. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8105–8113. https://doi.org/10.15662/IJRPETM.2023.0601010
2. Prasanna Kumar Natta. (2022). Computer-vision-assisted retail inventory automation: Integrating autonomous scan data with worklist completion systems. International Journal of Science, Research and Technology, 5(6), 8957–8969. https://doi.org/10.15662/IJSRAT.2022.0506009
3. Chaba, A. (2024). Unified Customer Identity and Profile Architecture for Customer Enterprise Orchestration. International Journal of Engineering & Extended Technologies Research (IJEETR), 6(6), 9272-9285.
4. Govindan, V. (2025). Vendor dependency to enterprise sovereignty: A phased migration approach for enterprise applications. International Journal of Computer Technology and Electronics Communication (IJCTEC), 8(4), 11176–11185. https://doi.org/10.15680/IJCTECE.2025.0804021
5. Sonawane, S. (2025). Zero-touch OEM onboarding: End-to-end automation from deal registration to license provision. International Journal of Applied Mathematics, 38(12S), 563–571. https://doi.org/10.12732/ijam.v38i12s.1400
6. Gandikota, S. P. (2023). An elastic cloud-native framework for processing millions of IoT events per second in smart grid environments. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8049–8063. https://doi.org/10.15662/IJRPETM.2023.0601006
7. Singh, A. (2025). AI-driven autonomous network control planes for large-scale infrastructure networks. International Journal of Computer Technology and Electronics Communication, 8(6), 11705-11715.
8. Meesala, A. (2022). Adaptive Spread Anomaly Intelligence Framework (ASAIF): A cloud-native AI framework for real-time bid-ask spread anomaly detection and cross-venue liquidity risk intelligence. International Journal of Future Innovative Science and Technology (IJFIST), 5(6), 9597–9604.
9. Damarched, M. K., & Pandity, S. (2025). Improving Software Reliability Through Automated Testing Frameworks in Enterprise Systems. International Journal of Engineering & Extended Technologies Research (IJEETR), 7(6), 11183-11190.
10. Gummadi, V. P. K. (2023). MuleSoft batch processing: High-volume streaming architecture. Computer Fraud & Security, 2023(12), 50–57. https://doi.org/10.52710/cfs.886
11. Veershetty, G. (2025). Conversational ERP: Governance and Control Models for Generative AI Assistants in SAP Operations. Available at SSRN 6890101.
12. Sarngadharan, S. (2023). Federated data pipelines enabling continuous contract and asset state traceability. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8114–8123. https://doi.org/10.15662/IJRPETM.2023.0601011
13. Potdar, A., Kodela, V., Srinivasagopalan, L. N., Khan, I., Chandramohan, S., & Gottipalli, D. (2025, July). Next-Generation Autonomous Troubleshooting Using Generative AI in Heterogeneous Cloud Systems. In 2025 International Conference on Information, Implementation, and Innovation in Technology (I2ITCON) (pp. 1-7). IEEE.
14. Mannem, S. (2023). Intelligent service behavior analysis for early cyber threat prediction. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8077–8088. https://doi.org/10.15662/IJRPETM.2023.0601008
15. Mohammed, S. (2024). Enterprise AI and data platform foundations using Azure Databricks and Synapse. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 7(3), 10395–10399.
16. Suresh Gangula. (2025). Secure DevOps in Retail Cloud: Strategies for Compliance and Resilience. The American Journal of Engineering and Technology, 7(05), 109–122. https://doi.org/10.37547/tajet/Volume07Issue05-09.
17. Gopisetty, S. (2024). Why was my transaction flagged? Building counterfactual stories for AI threat detection in real-time ERP systems. QIT Press - International Journal of Artificial Intelligence Research and Development (QITP-IJAIRD), 5(1), 20–56.
18. Mathew, A. (2025). Secure and Scalable AI-Integrated Cloud Infrastructure for HIPAA-Compliant Healthcare Financial Operations. International Journal of Future Innovative Science and Technology (IJFIST), 8(4), 15296.
19. Chaganti, S. (2023, September). The "Momentum" pipeline: A real-time behavioural intelligence architecture for hyper-personalization and 2.5× conversion uplift in digital commerce. Journal of Information Systems Engineering and Management, 8(3), 1–12.
20. Navandar, P. (2023). Privacy preserving federated learning for distributed intrusion detection: Differential privacy guarantees, non-IID convergence, and Byzantine robustness. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(4), 9055–9062. https://doi.org/10.15662/IJRPETM.2023.0604011
21. Pothuri, M. K. (2025). AI-Driven Reusable Unified Extract for Multi-State Medicaid and Federal Reporting-a Product that saves Millions of Taxpayer Money through process efficiency and reusability. International Journal of AI, BigData, Computational and Management Studies, 6(4), 211-216.
22. Kandula, S. T. R. (2025, July). Comparison and Performance Assessment of Intelligent ML Models for Forecasting Cardiovascular Disease Risks in Healthcare. In 2025 International Conference on Sensors and Related Networks (SENNET) Special Focus on Digital Healthcare (64220) (pp. 1-6). IEEE.
23. Soni, H., Perla, S., Maddela, S., & Kumar, U. (2025, November). Generative AI in Cloud CRM: Securing Intelligent Workflows in Multi-Cloud Environments. In 2025 IEEE 3rd Global Conference on Wireless Computing and Networking (GCWCN) (pp. 1-9). IEEE.
24. Reshwanth, K. N. G. L., Rajyalakshmi, G., Prasanth, Y. V. S., Hanish, C., Raj, S. A., & Jayakrishna, K. (2023). Blockchain technology approach for drug delivery in health care: A review. Blockchain in a Volatile-Uncertain-Complex-Ambiguous World, 89-99.
25. Pandey, C. P., Upadhyay, H., Kale, A., Joshi, P., & Sri, B. (2026). AI-driven fraud detection and risk forecasting framework for real-time financial transactions. Scientific Culture, 12(1, Part 1), 3425.
26. Prakashkumar, P. K. R. (2025). Secure bank integration framework for Oracle ERP Fusion: Enhancing payment disbursement, Auto Lockbox, and bank account reconciliation. European Economic Letters, 15(4), 2505–2517. https://doi.org/10.52783/eel.v15i4.4082
27. Velishala, S. (2025). AI-based decision support systems for healthcare DevOps: Improving reliability and decision-making in software development. Journal of Advanced Research in Engineering and Technology, 2(1).
28. Juvvadi, R. R. (2018). Continuous accounting: Toward a real-time financial reporting architecture for the modern enterprise. Computer Fraud & Security, 2018(12), 33–41.
29. Adari, V. K. (2024). How Cloud Computing is Facilitating Interoperability in Banking and Finance. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 7(6), 11465-11471.
30. Prakashkumar, P. K. R. (2025). Analytical Study of Adapting Oracle AI Agent Studio into Oracle ERP Overview. International Journal of Entrepreneurship, Innovation, and Business Strategies, 3(1), 90-103.
31. Gurram, S. K. (2024). Federated learning for anomaly detection in distributed systems. International Journal of Future Innovative Science and Technology (IJFIST), 7(6), 14031–14040.
32. Anumula, S. K. (2025). Next-gen supply chains: A product lifecycle management–based approach to resilient and sustainable operations. International Journal of Managing Value and Supply Chains (IJMVSC), 16.
33. Chenna, S. (2023). Solution-led integration architecture in Oracle EBS: A dual case study from foundational enterprise engagements. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8105–8113. https://doi.org/10.15662/IJRPETM.2023.0601010
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