The integration of Artificial Intelligence into healthcare is transforming systems worldwide. However, the success of this transformation depends on more than simply the adoption of technology. This study offers a conceptual framework for examining the synergistic effects of three primary factors – technology adoption and integration, workforce readiness and proficiency, and organizational strategy and support – on healthcare transformation, with a particular focus on the Kingdom of Saudi Arabia. The paper highlights the advantages and disadvantages of AI-powered healthcare, drawing on current literature, global comparative studies, and Saudi Arabia’s “Vision 2030″policy initiatives. Evidence from across the world, especially from the UK, US, and Singapore, indicates that lasting healthcare transformation occurs when technology, workforce, and strategy are aligned. Unlike previous studies on Sub-Saharan Africa, which examined these components in isolation, focusing on technical infrastructure or labor acceptance without considering their interrelation, this study addresses the resulting research gap that limits our understanding of how AI can effectively enable systemic transformation in the Saudi context. This study integrates existing research into a cohesive conceptual model that conceptualizes healthcare transformation as the product of interconnected enabling factors. The framework provides theoretical stances by unifying disparate fields of research, with practical implications for policymakers seeking to strengthen Saudi Arabia’s healthcare reforms under Vision 2030. The paper argues that AI can achieve long-term, patient-centered healthcare reform only through integrated efforts encompassing technology, workforce, and governance. © 2025 IEEE.