video1.0<iframe src="https://www.loom.com/embed/40436df03b854b21afb2a53feaec0f29" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/40436df03b854b21afb2a53feaec0f29-2d7fb3fa8b8f9b85.gif1800.674This Loom shares a six-dimension framework for auditing and implementing agentic AI across go-to-market teams. It emphasizes that agentic should be shaped by sales motion, contrasting high velocity, mid market, and enterprise/account-based approaches, and warns that many AI tools create silos by moving data without context. The speaker defines “agents” and “agentic” as digital colleagues coordinated through orchestration layers, with intelligence layers trained to drive research, personalization, and coaching via APIs and context to CRM, sequencers, and tools, replacing point solutions. It covers playbooks for top-of-funnel and account management including white-space pushing, dormant lead recycling, and customer data recycling, and highlights key metrics like a one minute talk-time goal and that typical pipeline issues are quality list and outreach related. The Loom also stresses change management and future-proofing so agents can support the full customer journey and interact with external agent systems, noting deployments that now run more than 50,000 agents per day and up to 2 million per month.