How tech chiefs can guide enterprise AI pilots to success | CIO Dive
PushButton AI Team ·
How tech chiefs can guide enterprise AI pilots to success | CIO Dive
Your first AI project failed because nobody owned it.
Not because AI doesn't work. Not because your team is resistant to change. Because there was no single person accountable for making it stick.
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Your first AI project failed because nobody owned it.
Not because AI doesn't work. Not because your team is resistant to change. Because there was no single person accountable for making it stick.
You bought the tool. IT set it up. Then everyone quietly went back to doing things the old way. Sound familiar?
Here's what enterprise CIOs figured out the hard way: AI pilots don't fail from bad technology. They fail from missing ownership. One person needs to be responsible for the outcome — someone who uses the process daily, can spot problems early, and has enough influence to get their colleagues actually using the thing.
That's not a tech hire. That's probably someone already on your team.
The other thing that quietly kills AI projects? Starting with messy data. If the information going in is inconsistent, the output will be useless — and you'll blame AI when the real problem was upstream.
Pick one process. Assign one internal owner. Clean up the data that process touches.
That's a 30-day pilot with something to measure — not a $50K gamble.
What's one AI tool your team bought but stopped using, and what do you think actually killed it?
