📌 3-Part LinkedIn Series: “Starting AI with Strategy & Vision 🔥 Part 1 — Why AI Fails Before It Even Starts

Most AI failures have nothing to do with models, data, or tools. They fail because leaders skip the first step entirely: A real AI strategy rooted in business reality. Too many organizations rush into pilots, vendors, and copilots without alignment on:

• What problems matter most
• What metrics actually define success
• What the organization is ready (or not ready) to adopt

When you start with technology instead of strategy, you’re not starting an AI initiative — you’re starting a future post-mortem. Over the past year, I’ve watched organizations burn time and budget on “AI experiments” that never see daylight. And the root cause is almost always the same: No clear strategic foundation.

If you want to know where your organization truly stands — before you invest — I built a free five-minute assessment that gives you an instant readiness snapshot:

👉 www.WhereDoIStartAI.com or 👉 www.StAIR-Ready.com

Part 2 drops tomorrow: “What Leaders Get Wrong About AI—Even the Smart Ones.”

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