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There is no shortage of AI content today. We talk about prompts. We talk about models. We talk about what AI can and cannot do. But inside organizations, the real question is rarely “Can AI do this?” It is almost always “Can we trust it to do this?” That difference matters. This video walks through something most discussions skip — how enterprise AI actually works when it is designed responsibly. Not as a chatbot. Not as a demo. But as a system. From Chatbots to Designed AI Systems In an enterprise setting, AI is never just a model responding to a question. There are deliberate steps involved: deciding what data AI is allowed to see retrieving only relevant information, not everything grounding responses so the model cannot hallucinate enforcing identity, access, and permissions ensuring answers are traceable and explainable Once you see this flow, AI stops looking like “magic” and starts looking like architecture. That shift in thinking is exactly what Microsoft AI-3026 focuses on. Why This Matters Right Now Most professionals today sit in an uncomfortable middle ground: They understand AI well enough to experiment But they are now being asked to build or influence real deployments That’s when questions change: Where does AI sit in our architecture? How do we control what it knows and says? How do we prevent risk while still moving fast? These are not prompt-engineering questions. They are system-design questions. What This Video Covers In this video, I break down: the difference between public AI usage and enterprise AI systems the role of retrieval, grounding, and orchestration why a “control layer” matters more than the model itself how the same AI can respond differently based on user permissions and how to explain all of this clearly — even to non-technical leaders This is the thinking layer behind Copilot-like experiences — not how to use them, but how they are designed. A Useful Way to Watch This If you’re a developer or architect, watch this as a design blueprint. If you’re a consultant, watch it as a client conversation framework. If you’re a leader, watch it as a way to ask better questions of your teams. Tools will change. Models will evolve. But this mental model — AI as a governed, designed system — will remain relevant. ▶️ Watch the video below If this way of thinking resonates, Microsoft AI-3026 is worth paying attention to — not as “another AI course”, but as a framework for building AI that organizations can actually stand behind.