Assessing Business Value Realization from AI-Driven Enterprise Transformation on Microsoft Azure

Authors: Pradeep Kachakayala

DOI: https://doi.org/10.37082/IJIRMPS.v14.i1.232975

Short DOI: https://doi.org/hbttx8

Country: United States

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Abstract: The current industrial landscape is undergoing a fundamental shift from digital-native to artificial intelligence-native operating models, with Microsoft Azure serving as a primary technological catalyst for this transition. This research paper evaluates the multifaceted mechanisms through which large-scale enterprises realize business value from AI-driven transformation. By synthesizing contemporary maturity models, theoretical frameworks such as the Multi-Realization of IT Value (MUIT), and an analysis of over 500 enterprise case studies, the study identifies the critical dependencies between technological infrastructure and organizational readiness. The investigation reveals that while infrastructure maturity is high, achieving sustainable business value requires a nuanced alignment of project governance, strategic intent, and human competency. The paper further explores the role of Azure-specific architectures, including Retrieval-Augmented Generation (RAG) and agentic workflows, in overcoming the "pilot purgatory" that hampers 74% of organizations. Ultimately, the research posits that business value is maximized when AI is treated not as a standalone tool but as an integrated operational engine capable of reconfiguring business processes and enhancing human agency at scale.

Keywords: Enterprise AI, Microsoft Azure, Business Value Realization, Digital Transformation, AI Maturity, Governance, Strategic Alignment, Agentic AI, Cloud Computing, ROI.

Paper Id: 232975

Published On: 2026-02-09

Published In: Volume 14, Issue 1, January-February 2026

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