Revenue leaders are facing a structural shift, not just a budget one. The old playbook: hire more reps, layer in more managers, scale linearly is breaking against a new reality where AI agents can handle many of the manual workflows, such as prospecting, qualification, follow-ups, and personalized marketing at a scale no human team can match. The question isn't how to grow with fewer people. It's how to design a revenue organization where humans and AI agents each do what they're best at. This panel brings together leaders who've built high-performing revenue teams through analytical rigor, operational discipline, and structural innovation. We'll explore how the best CROs are redesigning team structures, redefining the role of the rep, and using AI to compound leverage rather than just cut cost. - Where AI fits in the modern GTM org chart - and where humans still win - Redefining revenue per rep when AI handles the top of funnel - Designing team structures for compounding leverage, not just efficiency - The new productivity benchmarks for AI-native revenue teams

Tool sprawl has become the defining RevOps problem, and the math keeps getting worse. More systems, more integrations to maintain, more manual hand-offs, and a stack that costs six figures while ops becomes the glue between every tool. This roundtable gets RevOps leaders in a room to compare notes and get specific. What's actually working to consolidate the stack. Where AI is genuinely orchestrating execution across channels, and where it's just another tool. And how the leanest teams are clearing the tool graveyard without breaking what already works. The focus is practical, not theoretical: how to make AI add real efficiency to the workflows you already run, and tie it back to revenue rather than activity. You'll leave with 2-3 approaches you can bring back to your team.