The study explores the transformative potential of artificial intelligence (AI) in the banking sector through a comprehensive thematic analysis. It defines significant themes as AI strategy, adoption barriers, and organizational change through concentrating on the role of dynamic capabilities in leveraging the competitive advantage. The research shows the actionable insights to align AI adoption with organizational goals upon case studies in the Kingdom of Bahrain. The key policy recommendations highlight the urge to have a robust data governance, fostering innovation-driven cultures, and ensuring regulatory compliance. As banks can enhance customer experiences, optimize decision-making, and maintain competitive edges in rapidly evolving markets by integrating AI in its systems. The study applies a narrative review and thematic analysis of AI integration and its effect in the banking sector. It highlights primary themes upon three case studies that implement AI in its systems, including AI strategy development, adoption processes, and organizational change. These findings show a well-established AI-driven banking framework designed to bridge academic inquiry with industry practice. This study enables policymakers, managers, and decision-makers to devise strategies for maximizing AI’s value by focusing on ethical, technical, and operational challenges. The study concludes with options for future research, focusing on AI sustainable integration and ethical considerations.