Most AI conversations focus on models, agents, and use cases. Far fewer focus on the systems, data, and architecture that determine whether those initiatives succeed in production. As organizations embed AI into forecasting, lead routing, seller workflows, enablement, and revenue operations, the quality of the underlying GTM architecture has become a competitive advantage. This session explores how leading teams are designing the foundations that power AI at scale - from data models and orchestration layers to governance, enrichment, and system design. Join GTM leaders responsible for data, analytics, systems, and operations as they share how they're building AI-ready GTM organizations and the lessons they've learned along the way. You'll walk away with: - The core architectural components of an AI-ready GTM organization - How leading teams are connecting data, systems, and workflows to improve execution - Common infrastructure and governance challenges that limit AI performance - Practical lessons from organizations scaling AI across revenue operations