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Your takeaway sheet
This is the whole instrument from the session, so you can score yourself properly, score your leadership team, or hand it to someone who was not in the room. Nobody sees your number but you.
Watch it again
Forty five minutes. If you only have five, start at the six questions and come back for the rest.
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The instrument
Two ladders of three. The first three are about what you gave your people, and almost everybody scores better there than they expect. The last three are about whether the work actually changed, and almost nobody scores well there. That gap is the whole point.
Part one. Are the conditions there?
Can people use AI that works for their job, without putting company data at risk?
Why this one matters. Free tools get you curious. Paid tools get you capable. This is also not the row you buy your way out of: the team in the case study went from a three to a five without purchasing anything, once they worked out where their data actually lived.
Part one. Are the conditions there?
Do your people want this, or are they bracing for it?
Why this one matters. People do not resist technology. They resist uncertainty. This is the row that can move furthest in a single session, because willingness is a decision rather than a skill.
Part one. Are the conditions there?
Can you show what your people can do, or are you going on what they told you?
Why this one matters. Evidence always arrives last. In the case study this was the final row to move and it still has not reached a five, because the participant survey has not come back. If your score here is low, you are not behind. You are unmeasured.
Part two. Is the work actually changing?
Is AI helping people finish the old way of working, or changing how the work gets done?
Why this one matters. A one or a two here is the passenger seat: thinking it through yourself, then handing AI the last mile. A student put it better than I can. He realized he was missing eighty percent of the value, and wished he had known a year earlier.
Part two. Is the work actually changing?
When one person gets better with AI, does anybody else get better too?
Why this one matters. This was the biggest single jump in the case study, zero to five in one session, and nothing new was purchased to get it. One person getting better with AI is a nice story. A team getting better is a different company.
Part two. Is the work actually changing?
Can you connect the way people use AI to something the business actually cares about?
Why this one matters. Minutes saved is the most convincing wrong answer available, because it looks exactly like measurement. A five here means a named owner and a number that already existed in your business plan before AI showed up.
Before you read the total
Before you read your total, look down the column. The shape of your six numbers says more than the number they add up to.
You bought the tools and the work stayed the same. This is the most common result there is, and it is the easiest one to fix, because everything you need is already paid for.
A few people are doing genuinely impressive things without the tools, the permission or the support to do it properly. That is not a capability problem, it is a support problem, and it walks out of the door when they do.
You are early, and that is fine. Do not buy more seats yet.
You are ahead of nearly everyone. The risk is that it rests on a handful of people.
Mindset, skill set, behavior change
Capability arrives in the same order every time. It cannot be reordered and it cannot be skipped, which is why the four stages below are really just a description of how far along that order you have got.
People change how they think about the work, not just what they type. Nothing else starts until this does.
People can actually do it. This is the one that money cannot buy and a license does not deliver.
It is simply how the work happens now. Nobody has to be reminded, and it survives people leaving.
The most expensive mistake is buying the tools before the mindset, because then you are paying for a skill set nobody is ready to build.
Where your number puts you
Read all four, even though only one is yours. Each is a position along that same order, and knowing what the stage above looks like is most of the reason anybody moves.
The mindset has not landed yet.
Interest, and nothing underneath it.
The trap. Buying licenses and calling it a strategy.
Next step. Do not buy seats yet. Get one group to a shared starting point first.
Points at. AI Essentials. Do not skip this to save a step.
Mindset, no skill set. They want to and they cannot.
Tools in hand, work unchanged.
The trap. Assuming the tool teaches people what to do with it.
Next step. One team, one real piece of work, and build something that is still running a month later.
Points at. AI Kickstarter, with tool fluency in front of it if people were handed the license and never taught the tool.
Mindset and skill set are there. The behavior has not set, which is exactly why it is at risk.
Real work, uncounted.
The trap. At budget season, real and unmeasured reads exactly like having done nothing.
Next step. Count what you already have before you build any more of it.
Points at. The same Kickstarter, pointed at proof.
Behavior change. It is simply how people work now.
Measured, and spreading.
The trap. It rests on a handful of champions and it leaves when they do.
Next step. Move it off the champions and onto the leaders.
Points at. AI Leader Accelerator, with mentorship pods as the add.
If you landed in either of the middle two, you are in the ordinary place, not a bad one. Together they are where almost everyone who has already spent money on AI ends up. Both are fixable inside a quarter, and the move is different for each, which is the whole reason it is worth knowing which one you are in.
And for everyone, whatever the number: The Human Advantage, as the horizon. See the full Learnit AI Pathway.
The seventh question
It is not on the sheet and it does not score, because you cannot answer it honestly on your own behalf. Where trust in leadership is high, organizations have markedly higher odds of landing on the augmentation path rather than the automation path. Same tools, same licenses, same training budget.
The rule. If you are not confident your people would say yes, read your stage one band below your number. That is not a punishment. It is an accurate reading.
The invitation
Email me at chill@learnit.com and we will find thirty minutes. We read your six numbers back to you, pick the one row worth moving first, and I will tell you what that looked like for a team that went from an eight to a twenty-nine in four weeks. No charge, no deck, no obligation.
Book thirty minutes Email me instead