Hot take: most AI implementations fail before they start.
Not because the AI is bad.
Because the system it's plugged into was never designed to support it.
You can't bolt intelligence onto a broken foundation and call it transformation.
The businesses winning with AI right now aren't the ones with the best tools.
They're the ones who rebuilt the architecture first.
What's the biggest system problem you've seen hold AI back in your organisation?
👇 Drop it below — we read every one.
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