In the era of digital transformation, Enterprise Architecture Management (EAM) must evolve from a static blueprint into a dynamic framework that strategically integrates emerging technologies across the IT lifecycle. This paper examines the role of intelligent Cloud Operations (AI-Augmented CloudOps) in linking EAM with the IT4IT operating model. First, AI-Augmented CloudOps is viewed as an operational capability in the Detect-to-Correct value stream, using AI to enable predictive monitoring, failure detection, and self-healing. Second, it is treated as a digital product whose lifecycle spans all four IT4IT value streams. The proposed model was implemented in a real-world organization, where OpenStack and Ceph-based automation enabled secure and sovereign cloud deployment with continuous architectural compliance. The system automatically generates optimized architecture recommendations based on existing organizational assets and performs fully offline and automated deployment. The results demonstrate significant reductions in incident response time, downtime, and operational costs. Moreover, the model enables the delivery of stable, secure, and governance-compliant digital services— particularly critical in highly regulated industries—while also addressing challenges such as technical complexity, the need for specialized expertise, and ensuring security in offline environments.

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