Most conversations about AI in enablement are still being led by vendors with frameworks but no receipts. This session is different. We'll walk through a real build vs. buy decision and what happened when we used our own AI to certify our entire revenue team ahead of a major product launch. Then we'll get into what we actually did with the time AI gave us back, and how standard LLMs have changed the way a two person enablement team operates day to day. You'll will leave with three things you can act on immediately: 1. A framework for the build vs. buy decision- when to use what already exists, when to build something specific to your team, and how to avoid overcomplicating both 2. A model for reinvesting AI saved time into manager enablement- what it looks like when certification time becomes coaching time, and how that shift creates the conditions for revenue impact 3. A practical content acceleration shift- how standard LLMs can build call coaching guides, 1:1 agendas, and objection reframes fast enough that your enablement team stops content writing And we'll be honest about where we are on attribution because that's where most of us actually are. We can measure completion rates, competency scores, content velocity, and manager time reinvested. The full line from certification to revenue is something we're actively building toward, and we'll talk openly about how we're thinking about closing that gap.