As AI agents increasingly manage customer conversations, the traditional support team structure must be reimagined, shifting from volume-based productivity to a focus on optimizing the AI system's performance. This transformation involves introducing new roles such as AI operations leads, knowledge managers, conversation designers, and support automation specialists, who ensure the AI functions effectively and aligns with brand standards. Existing roles evolve to support this AI-first model, with enablement training agents to collaborate with AI, QA focusing on overall customer experience, and workforce management adjusting for automation. Leadership is crucial, requiring a "player-coach" approach where leaders are both strategists and operators, guiding teams in adapting to AI-driven processes and viewing AI as a teammate. Companies like Dotdigital, Clay, and Lightspeed illustrate this shift by embedding AI-focused roles and teams into their support operations, demonstrating the importance of clear ownership and collaboration in enhancing AI performance.