Building AI-Ready Organizations: A Holistic Framework for Organizational Transformation Toward Responsible Ai Adoption

Authors

  • Dr. Neha Soni Baid, Dr. Varun Keshri

DOI:

https://doi.org/10.64882/ijrt.v14.iS2.1313

Keywords:

Artificial Intelligence, Organizational Transformation, Responsible AI, Digital Transformation, Change Management, AI Ethics, Organizational Readiness

Abstract

As artificial intelligence (AI) becomes increasingly embedded in organizational operations, the imperative for responsible AI adoption has moved from ethical aspiration to strategic necessity. However, organizations struggle to transform themselves into truly "AI-ready" entities that can deploy AI responsibly while maintaining competitive advantage. This paper develops a holistic framework for organizational transformation toward responsible AI adoption, integrating insights from organizational change theory, technology adoption models, and emerging AI ethics literature. Through a qualitative study of 15 organizations across diverse sectors in India, we identify five critical transformation dimensions: Strategic Alignment, Governance Architecture, Cultural Readiness, Capability Development, and Systemic Integration. Our framework addresses three fundamental questions: What are the major constraints preventing responsible AI adoption? Where and how should organizations deploy AI appropriately? How can organizations overcome implementation barriers? The research contributes a comprehensive, actionable transformation roadmap validated through empirical evidence, offering both theoretical advancement and practical guidance for managers navigating the complex journey toward becoming AI-ready organizations. Our findings reveal that successful transformation requires simultaneous attention to all five dimensions rather than sequential or siloed approaches, challenging conventional change management wisdom.

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How to Cite

Dr. Neha Soni Baid, Dr. Varun Keshri. (2026). Building AI-Ready Organizations: A Holistic Framework for Organizational Transformation Toward Responsible Ai Adoption. International Journal of Research & Technology, 14(S2), 184–201. https://doi.org/10.64882/ijrt.v14.iS2.1313

Issue

Section

Original Research Articles

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