Most businesses buying AI tools aren't failing because they picked the wrong software.
They're failing because they skipped the step that actually matters.
You're not alone if you've paid for a too
Most businesses buying AI tools aren't failing because they picked the wrong software.
They're failing because they skipped the step that actually matters.
You're not alone if you've paid for a tool your team quietly stopped using. That's not a tech problem. That's a sequencing problem. And it happens to smart operators every day.
IBM's latest research on enterprise AI adoption confirms something I see constantly: only a small fraction of companies have moved AI beyond isolated experiments. The majority are stuck between "we tried something" and "we actually got results."
The gap isn't budget. It isn't talent. It's that most businesses implement AI as a solution looking for a problem — instead of starting with a specific, painful, repetitive task and working backward to the right tool.
Here's what actually works: pick ONE workflow that costs you 3-5 hours per week, document exactly what happens in that workflow, and only then evaluate which tool solves that specific problem. That's a 30-day win you can measure.
No system overhaul. No team retraining. Just one painful task, removed or reduced.
What's the single most repetitive task in your business right now that you wish someone else could handle?
The IBM Institute for Business Value report, From promise to power: How AI ... But only a small share of enterprises have scaled AI beyond isolated use ...
