Multi-Cloud ECM/WCM Orchestration with AI: A Scalable and Intelligent Enterprise Architecture
DOI:
https://doi.org/10.63282/3117-5481/AIJCST-V7I1P108Keywords:
Multi-Cloud Architecture, Enterprise Content Management (ECM), Web Content Management (WCM), AI-Driven Orchestration, Event-Driven Systems, Intelligent Workflow Automation, Content Governance, Cloud-Native Enterprise SystemsAbstract
The exponential growth of enterprise content and the widespread adoption of heterogeneous cloud platforms have introduced significant complexity in managing Enterprise Content Management (ECM) and Web Content Management (WCM) systems. Traditional, monolithic content architectures are increasingly inadequate in addressing scalability, interoperability, governance, and resilience requirements in multi-cloud environments. This paper presents a scalable and intelligent multi-cloud ECM/WCM orchestration architecture powered by Artificial Intelligence (AI), designed to enable adaptive content lifecycle management, intelligent workflow automation, and consistent governance across distributed cloud infrastructures. The proposed architecture adopts cloud-native and event-driven principles, decoupling content services from underlying infrastructure to support elasticity, fault tolerance, and vendor independence. AI models embedded within the orchestration layer provide automated content classification, context-aware metadata enrichment, predictive lifecycle management, and dynamic workflow optimization. These capabilities enable the system to respond proactively to changing workloads, user behavior, and regulatory constraints. Security, privacy, and compliance are addressed through integrated identity management, encryption, continuous monitoring, and policy-aware orchestration. Performance evaluation in hybrid multi-cloud environments demonstrates notable improvements in availability, infrastructure utilization, deployment efficiency, and operational cost reduction when compared to traditional ECM/WCM platforms. The results highlight the effectiveness of AI-driven orchestration in enhancing system resilience, optimizing resource usage, and supporting large-scale enterprise content operations. This work contributes a comprehensive reference architecture suitable for modern digital enterprises seeking intelligent, cloud-agnostic ECM/WCM solutions aligned with evolving business and regulatory demands
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