Why Teams Start Here
We're often called in after an AI initiative has stalled. The issue is almost never the model — it's that nobody trusts the data underneath.
If leadership can't explain how a number was produced, they won't act on it. Doesn't matter how sophisticated the model is.
This isn't an AI sales pitch or platform recommendation. It's diagnostic work. The goal is knowing where you actually stand.
When this makes sense
If governance isn't clear, if nobody owns the data, or if incentives aren't aligned — AI will cause more problems than it solves.
AI built on bad data doesn't give you bad insights. It gives you confident bad insights. That's worse.


What you get
Where you actually stand, not where you think
With business context, not just technical feasibility
Where you need to get
This Probably isn’t right if...
We'd rather figure this out in a 30-minute call than halfway through.




