Most AI conversations in leadership teams start with a training question: do our people know how to use it. That's the easier question, and it's not the one that decides whether AI actually works in your business.
The harder question is whether your team agrees on how the work happens in the first place. Here's a way to find out, and it costs nothing.
Pick one process your team runs regularly. Ask three people who touch it to explain how it works, separately, without checking with each other first. Compare the three answers. Wherever they genuinely disagree is where the real gap sits, and it isn't a training gap.
The test
Pick one process your team runs regularly. Something ordinary: how a customer complaint gets handled, how a report gets signed off, how a number gets calculated before it goes in front of a client.
Ask three people who touch that process to explain it to you separately, without checking with each other first.
Then compare the three answers.
What you're looking for
You're not looking for perfect agreement on every detail. You're looking for where the three explanations genuinely contradict each other: a different definition of the same term, a different idea of who signs off, a different guess at where the current version of something actually lives.
Wherever they disagree, that's the gap. Not a training gap. A shared understanding gap.
Why this matters more than it sounds like it should
If three people on your team can't agree on how a process works, AI won't either. It will pick up whichever version of the process shows up in the data it's working from, and it will do it confidently. AI doesn't hesitate when the underlying process is unclear. It guesses, and it guesses in a tone that sounds like certainty.
That's the part leaders miss. A team that's unclear on a process usually knows it, and compensates: someone double checks, someone asks around, someone catches the mismatch before it goes out the door. Hand that same process to AI without fixing the underlying confusion first, and the checking stops happening. The output looks just as polished either way.
Those are two different problems, and only one of them gets fixed by a workshop.
What to do with what you find
If the three answers roughly line up, you've got a process that's ready to hand to AI, with a person still checking the output.
If they don't, you've found the actual starting point. Not a new tool. Not a training session. A short, unglamorous conversation to get the team back on the same page about how the work actually happens. Once that's settled, the AI part gets much easier, because there's finally something solid for it to work from.
Run it on one process this week. It takes twenty minutes and it will tell you more about your AI readiness than any survey will.
Common questions
Do I need any tools or software to run this?
No. A notebook and three short conversations are enough. That's the point.
What if all three answers are different?
That's a useful result, not a bad one. It means you've found where to focus before you hand anything to AI unsupervised, rather than finding out the expensive way.
Does this mean we're not ready for AI at all?
No. You can still use AI as an assistant today, with someone checking the output. This test is about knowing when it's safe to hand a whole process over without that check in place.
Every engagement starts with a conversation
Start with a conversation