AI isn’t “the future of sales.” It’s already the default. 85% of sellers have used AI in the past six months—yet most GTM orgs remain stuck in tool sprawl and incremental automation. Despite the tech, reps still spend ~70% of their time on non-selling work, with only 44% of the week customer-facing. Top performers don’t work harder—they operate differently, spending ~60% of their time with customers. The gap between AI dabblers and AI-native operators is widening fast. Salesforce reports 83% of sales teams using AI grew revenue last year vs. 66% without it. Yet only 35% of sellers fully trust their data—why most AI rollouts stall in pilots. This session is an operator-level roadmap to building an AI-native GTM org—not by adding more automation, but by redesigning the revenue engine so humans and AI agents work as one system: real-time account intelligence, next-best actions, and autonomous execution of the operational work dragging reps down. You’ll see real results from teams using Actively AI, including 23% higher win rates at Ramp and $10M+ in qualified pipeline at Ironclad. What you’ll walk away with: the AI-native GTM architecture, human + agent workflows that actually execute, a rollout model that scales beyond pilots, and a measurement system Finance will trust. This isn’t hype—it’s the playbook.