Agentic AI Architectures for Multi-Cloud Enterprise Intelligence and Autonomous Business Process Orchestration

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Published: 2025-12-16
DOI: https://doi.org/10.15662/IJRPETM.2025.0806044
Keywords:
Agentic AI, Autonomous Orchestration, Multi-Cloud Architecture, Enterprise Intelligence, Multi-Agent Systems (MAS), Cross-Cloud Governance, Self-Healing Workflows

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Aleksandr Sutyagin
BIMdance, Hong Kong

Abstract

As global enterprises migrate toward heterogeneous multi-cloud environments, traditional rule-based workflow systems prove insufficient for managing non-deterministic, high-velocity business operations. This paper presents a novel architectural framework for Agentic AI designed to achieve cross-cloud cognitive intelligence and autonomous business process orchestration. Modern Agentic AI transcends basic generative capabilities by incorporating multi-step planning, dynamic tool invocation, stateful memory persistence, and inter-agent negotiation protocols. The proposed system utilizes a decentralized, multi-agent orchestration topology that deploys specialized autonomous agents across major cloud providers (AWS, Azure, Google Cloud Platform) using cloud-native microservices and open mesh networks. By embedding an abstraction layer with unified state synchronization, context-aware semantic routing, and continuous policy enforcement, the architecture enables agents to autonomously plan and execute complex end-to-end enterprise workflows without vendor lock-in. Empirical evaluations demonstrate a 54% reduction in cross-cloud process cycle times, a 38% decrease in egress-related operational expenses through intelligent localized routing, and a 99.7% task completion success rate under dynamic environment perturbations. Ultimately, this research provides a scalable, fault-tolerant blueprint for building self-healing, secure, and fully autonomous enterprise intelligence platforms.

Article Details

Issue

Vol. 8 No. 6 (2025): International Journal of Research Publications in Engineering, Technology and Management

Section

Articles

How to Cite

Agentic AI Architectures for Multi-Cloud Enterprise Intelligence and Autonomous Business Process Orchestration. (2025). International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 8(6), 13406-13415. https://doi.org/10.15662/IJRPETM.2025.0806044

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