Everyone’s building AI agents. Almost nobody is fixing the data they rely on. Agents are the new shiny object. Autonomous workflows. Self updating CRMs. AI that runs sales for you. But under the hood, most of these systems are sitting on broken foundations. Messy CRM data. Inconsistent pipeline stages. Leads routed three different ways. Half the activity never logged. So the agent does exactly what it’s told. And confidently makes the wrong decision. Before agents, you need basics: • Clean CRM structure • Clear pipeline logic • Deterministic automation rules • Reliable inputs CRM hygiene is the highest ROI AI work most teams will never prioritize. And that’s why most AI agents quietly get turned off after the demo. Curious how we fix foundations before adding agents. Follow and comment DATA and I'll send it over.