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From the clouds: The imperatives and designs of today's IT and data economics - Thomson Reuters
PushButton AI Team ·
Most AI tools fail before anyone ever logs in. Not because the technology is broken. Because the order of operations is wrong. You bought the tool, skipped the foundation, and wondered why nobody us
Most AI tools fail before anyone ever logs in.
Not because the technology is broken. Because the order of operations is wrong.
You bought the tool, skipped the foundation, and wondered why nobody uses it. That's not a you problem — that's how AI gets sold. Vendors lead with the flashy output and skip the part where your existing data, workflows, and team actually have to support it.
Here's what enterprise architects quietly know: AI works backwards from how it gets marketed. The boring infrastructure decisions — what data you have, where it lives, how your team currently works — those aren't prerequisites you handle later. They ARE the strategy.
This means your first AI win isn't about finding the right tool. It's about identifying one repeatable task your team already does manually, three or more times a week, using information you already have stored somewhere.
That single constraint eliminates 90% of the wrong tools before you spend a dollar.
Start there. One task. Existing data. No ripping anything apart.
What's one manual task your team repeats constantly that you've been told AI could handle — and what's made you hesitant to try it?
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Original Source
Therein resides the structural disconnect for enterprise architecture in AI solutions: They are out of order. When these legacy conditions are ...