While most research on Artificial Intelligence (AI) policy and governance has focused on regions like the EU, US, and China, Africa's unique landscape requires innovative research to leverage the strengths and address challenges specific to the African and pan-African geo-political context. This chapter addresses this topic via three interconnected perspectives: first, we critically examine the current state of AI governance and policy in Africa; second, we highlight who stands to benefit and who is harmed under existing global AI governance frameworks; and third, we propose a holistic framework for AI governance in Africa, drawing on lessons from dynamic and adaptable policy models that would enable African states to leapfrog existing global powers. A central argument of this chapter is the need to integrate indigenous governance systems into AI policy and governance systems. By applying principles from African cultural frameworks, such as the complimentary leadership structures of Indigenous Akan states, African countries can ensure that AI systems reflect local values, reduce anti-African and anti-Black biases, and are tailored to the needs of their populations. Furthermore, we argue that AI development and innovation in Africa need not follow the patterns established by Western or Eastern nations; instead, it should be based on African societies’ unique needs, desires, and cultural contexts. Through this approach, Africa can develop a distinct, forward-thinking, pan-African AI governance model that is not reactionary but anticipatory, ensuring sustainable and culturally contextualised AI systems.