Most GTM teams are building AI workflows on top of broken data. Rep-entered loss reasons. Raw call transcripts. Win-loss programs that cover less than 5% of deals. The inputs are wrong, so the outputs are wrong. Just faster and more convincing. This session runs both directions. AI for win-loss: how AI makes it possible to investigate every closed deal, automate buyer interviews, and build verified records at scale. Win-loss for your AI: why clean, structured deal intelligence is the foundation every GTM workflow you're building actually depends on. We'll cover what verified deal intelligence looks like, why most programs break at the source, and how to build something that works without hiring an army of analysts. You'll leave with a clear picture of what good looks like and a practical place to start.