In the era of digital transformation, understanding the interplay between Artificial Intelligence (AI) and human decision-makers is crucial. This paper examines the nuanced dynamics of AI in decision-making processes, focusing on its role as a decision-maker, an enabler, and its impact on work paradigms and organizational structures. Through a comprehensive literature review and qualitative case studies across diverse sectors, the study introduces a novel analytical framework that aligns AI's role with decision-making stages. This framework aims to identify optimal organizational structures, ranging from full human to full AI delegation, including hybrid models. By highlighting the human-centric approach and the interdependence of human and AI in decision-making, this research contributes significantly to the evolving field of organizational behavior and decision science, providing insights into effective AI integration and the transformative role of Generative AI in professional landscapes.