Most AI projects fail before they even start — not because the tech is bad, but because teams pick the wrong first workflow.
We break this down in the latest episode of The AI Opportunity — and I wrote a deeper blog post because this is the #1 question leaders ask me right now:
“How do I choose my first AI project?”
Here’s the problem:
Most companies choose workflows that are too big, too vague, or too political.
So the pilot drags… and dies.
In the blog, I walk through the simple method we use with real businesses to avoid all of that. It covers:
The 3 criteria that predict whether an AI project will succeed
Why “hero workflows” (small team → big impact) create the fastest wins
How to run a 30-day proof of value that forces clarity, not chaos
The before/after signals leaders should measure from day one
If you’re trying to pick your first AI project – or unstick one that’s going sideways – this will save you weeks of trial and error.
Read the blog post or listen to the episode Spotify ; Apple Podcasts