AI is dominating every conversation, from the breakroom to the boardroom, and CMOs are under pressure to activate it everywhere, all at once. But here’s the uncomfortable truth most leaders don’t say out loud: AI can’t rescue a marketing org weighed down by silos, inconsistent execution, or incomplete customer data. When the foundation is shaky, AI doesn’t create lift, it actually accelerates the chaos. Here’s the hot take: before you scale AI, you have to build the operating model that makes AI worth scaling. Join Zabrina as she digs into what high-performing CMOs already know - that growth comes from disciplined processes, aligned teams, integrated workflows, and the ability to measure and optimize every stage of the customer journey. AI is a multiplier, not a miracle, and it only works when the underlying machine actually runs. Key takeaways: - Why AI collapses when the org model is fragmented, ownership is unclear, or data is unreliable - How to build a cross-functional marketing framework that creates consistency and performance across the full customer lifecycle - Real examples where AI drove measurable ROI because it was plugged into a strong, data-led operating system - A practical roadmap to transform a legacy marketing org into a modern engine built for scale, experimentation, and predictable growth