AI, RevOps, and the Operating Model Problem with Anne Pao

Summary:In this episode of AI-Powered RevOps, Sandy Robinson sits down with Anne Pao, founder and CEO of Ignite, to talk about what RevOps leaders need to get right as AI and automation reshape go-to-market teams. From AI governance and process mapping to enablement, ROI, build-versus-buy decisions, and the future of RevOps, Anne shares practical advice for operators trying to move beyond shiny tools and toward real business impact.Key Takeaways:AI will not fix broken processes. RevOps teams need strong documentation, process mapping, and clear ownership before layering in automation.Governance matters. Teams using AI without enterprise controls, security standards, or data boundaries create risk across customer data and GTM systems.Enablement is not optional. AI adoption requires reinforcement, workflow change, and clear communication about how people’s day-to-day work will change.ROI should go beyond hours saved. The real question is whether AI meaningfully improves funnel outcomes, conversion, revenue, or customer impact.RevOps leaders who rely only on system ownership may be at risk, but those with judgment, discernment, and cross-functional alignment skills will become even more valuable.Chapters:00:26 Welcome to AI-Powered RevOps01:24 Anne Pao’s background and work with Ignite02:20 Why fractional RevOps matters for growth-stage companies03:51 Anne’s fun fact: food writing and restaurant reviews05:22 How 20+ years in growth, analytics, and operations shaped Anne’s RevOps perspective10:39 What feels different about today’s AI wave11:23 AI sprawl, security, and governance risks14:24 How companies should approach AI strategy and ownership17:16 What RevOps needs to get right before AI and automation19:08 Practical AI use cases: discovery playbooks and RFP workflows22:37 Build versus buy decisions in an AI-powered GTM world26:27 AI use cases creating practical value today29:35 Common mistakes teams make when adopting AI31:43 Why enablement is critical to AI adoption36:56 Measuring ROI from AI in RevOps41:23 Storypath.ai and AI-assisted revenue storytelling48:01 How AI may reshape RevOps over the next few years54:25 Rapid-fire questions on AI in RevOps58:06 Anne’s final thoughts on humans, judgment, and the future of RevOpsLinks MentionedAnne Pao LinkedIn: https://www.linkedin.com/in/annepao/Ignite: https://www.igniteconsulting.co/Storypath.ai: https://www.storypath.ai/Keywordsrevenue operations, AI in RevOps, go-to-market strategy, GTM operations, AI automation, AI governance, RevOps enablement, process mapping, sales operations, customer success operations, AI adoption, revenue architecture, build versus buy, AI ROI, enterprise AI, GTM enablement, sales funnel optimization, RevOps leadershipSandy: https://www.linkedin.com/in/sandyrobinson/Website: www.SandyElevates.comwww.AI-PoweredRevOps.comAI-Powered RevOps is a Sandy Elevates production.© 2026 Sandy Elevates. All rights reserved.