What happens when your shiny new AI ecosystem becomes a tangled web of confused databases, exposed client information, broken automations, and weekend-consuming technical rabbit holes? You do not need more AI tools. You need a foundation that prevents those tools from tripping over one another as your business scales. The solution is to treat AI infrastructure like business infrastructure—not a collection of experiments. In this episode of *Leveraging AI*, Isar Meitis and Kevin Williams rev...