Over the last two years, GTM teams have experimented with countless AI tools, copilots, agents, and workflows. As organizations move beyond experimentation, the challenge is no longer identifying AI opportunities - it's deciding which initiatives are delivering enough value to justify further investment. This panel brings together leaders who have successfully moved AI from pilot to production to discuss how they're measuring impact, evaluating ROI, prioritizing resources, and determining what becomes part of the GTM operating model. Expect practical lessons on what gets scaled, what gets abandoned, and what separates successful AI initiatives from the rest. You'll walk away with: - How leading GTM teams decide which AI initiatives deserve further investment - The metrics and signals organizations are using to measure AI impact and ROI - Common reasons AI projects fail to scale - and how to avoid them - Lessons learned from teams that have successfully moved AI into production and operationalized it across GTM teams and workflows