Organizational transformation in the age of artificial intelligence poses new governance challenges for leaders as digital systems reshape decision-making, coordination, accountability, data privacy, and cybersecurity. Many leadership models, however, offer limited guidance for navigating technological change while preserving human judgment, ethical responsibility, and organizational coherence. This chapter applies the DOT Framework to leadership practice in AI-mediated contexts. DOT consists of disciplined Design Thinking and Open Systems Theory that structure how leaders frame problems, analyze systemic interdependencies, and anticipate feedback effects before and during technological adoption. When interpreted through a leadership lens, these disciplines guide purposeful organizational transformation rather than reactive digital implementation. Such transformation is oriented toward the development of co-intelligent organizations in which human judgment and artificial intelligence are deliberately aligned through governance structures, ethical safeguards, adaptive learning processes, and robust data and cybersecurity governance, thereby enhancing collective reasoning, decision quality, and responsible organizational action.