Brand voice represents the consistent way a brand communicates its unique personality, tone, and style. Traditionally viewed as a component of verbal brand identity and personality, brand voice is expressed through written, visual, auditory, and video formats. However, with the increasing integration of generative AI tools such as ChatGPT, Midjourney, and Suno, brand voice is no longer solely the outcome of human creativity but also of algorithmic design. This shift raises critical questions concerning transparency in how AI contributes to brand communication. This study examines AI brand voice transparency from two complementary perspectives. The first concerns managerial decision-making, referring to how organizations select tools, design and maintain AI-supported brand voice, and determine the degree and form of transparency. The second considers the consumer perspective, focusing on how audiences perceive and evaluate AI transparency. To conceptualize these interrelations, a Management Cycle for AI Brand Voice Transparency is introduced. The cycle consists of three stages: (1) analysis, encompassing five interdependent elements of brand, consumer, law, AI-technologies, and platform; (2) management decisions, addressing the elements AI-transparency strategy, internal structure & processes, and labeling & communication; (3) monitoring, focusing on the measurement and evaluation of perceived transparency.