Hey there,

Yesterday we decoded the viral and controversial MIT study that claimed “95% get no ROI with AI.” Today isn’t about more stats though. It’s about where the ‘AI failure’ actually shows up inside a business.

Spoiler alert: It’s not in the model. It’s in the sequence.

Every “we tried AI and it just didn’t work for us” story follows the same five beats. Same order. Same potholes.

And if you can name where you are in that sequence, you stop guessing and you start measuring. That’s how professionals do this - precise diagnostics before execution.

So here’s the plan: we’ll slow down and put pins on the map -- five checkpoints where good intentions quietly die. Just clear, CFO-legible problem clarity for you to see what you’re really dealing with.

Think of this like a 5-part flight checklist for AI that covers:

1. how you start
2. how you test
3. how you count
4. how you scale
5. ….and how you make it stick.

Miss one, and the plane never leaves the runway.
Get the order right, and “AI” stops being a demo and starts becoming an engine