This playbook explains why data is key for effective agentic AI in GTM and how ZoomInfo and Google Cloud provide a foundation to build on it. Agentic AI will define the next generation of enterprise GTM. But while 79% of companies have adopted agentic AI, only 11% are successfully running it. And 88% of AI agents never reach production. That failure rate is not a model-selection problem. It is a data-architecture problem. To work effectively, AI agents need a unified, machine-legible data foundation. Without it, organizations scale confusion instead of insight. This playbook explains why a data-first roadmap is the prerequisite for effective agentic AI in GTM and how ZoomInfo and Google Cloud give IT leaders the foundation and the flexibility to build on it. Highlights include: Examining how ZoomInfo’s GTM intelligence layer, the Google Gemini-powered autonomous GTM execution, and the GTM Studio platform can work together. How the execution gap arises from structural problems that manifest in three data-related patterns across enterprise GTM environments. What technology leaders need to know for agentic AI in GTM readiness.
