Most organizations are still using AI as a collection of disconnected tools layered onto existing workflows. But the companies seeing real transformation are approaching AI differently — not as isolated automation, but as a scalable operating system for marketing. In this session, Aditi Mittal will explore what it actually takes to move from experimentation to a production-grade AI marketing engine. Drawing from real-world experience building AI-driven systems at scale, she’ll break down the architectural decisions, workflow redesigns, organizational shifts, and operational trade-offs required to make AI sustainable and impactful across the marketing function. The session will cover: - What separates companies automating tasks from those redesigning marketing systems - How to balance speed, quality, personalization, and brand differentiation - Common failure modes when scaling AI adoption - The organizational and skills changes required in an AI-native marketing team - Where measurable ROI is actually emerging — and where expectations are still ahead of reality Attendees will leave with a practical framework for thinking about AI not as a set of tools, but as the foundation for a more adaptive, scalable, and intelligent marketing organization.