Don't Let the Humans Touch the Data: How to Deploy AI and Actually Prove It's Working | Justin Shriber, Territ

Most AI revenue projects fail before they start. The technology is not the problem. The data underneath it is.Justin Shriber is the co-founder and CEO of Territ and a former VP at LinkedIn who has spent 25 years inside some of the most complex revenue organizations in tech, including Oracle and McKinsey. In this episode he breaks down the exact three-stage framework CROs should follow to deploy AI, measure real ROI, and grow revenue without simply adding headcount.He walks through the real math: what it actually costs to hit 25% growth the old way versus the AI-driven way. The numbers will change how you think about your next hiring plan.What you will take away from this conversation: why dirty CRM data kills AI projects before they launch, the three leading indicators that tell you AI is working before revenue moves, why the average rep only touches 60% of their accounts and what to do about it, and how to build a business case for AI investment that holds up in a boardroom.This one is for CROs, founders, RevOps leaders, and anyone responsible for making AI pay off in a B2B sales org.Revenue Problem Solvers Podcast is sponsored by Virtual Causeway.#RevenueProblemSolversPodcast