The AI Readiness Scorecard

Which step is your school on with AI?

Getting AI right in schools is a sequencing problem, not a technology problem. Most schools aren't stuck because they're doing nothing. They're stuck because they're working hard on the wrong step.

Five questions, about two minutes. You'll see the step your school is on, what it means, and the one thing that unlocks the next step.

Free. No sign-up to see the questions.

Built by Vaughn Littlejohns, a practising Director of Technology at an IB World School.

Every school leader I sit down with has already responded to AI in some way. Training bought. Tools blocked, or approved one at a time. A policy drafted, or parked while they wait to get it right. And almost every one of them has skipped the same first step: finding out where the school actually is. Different surface problems, one shared root.

It's not a willingness problem. It's a capacity problem: nobody has the hours to review every tool, every claim, every new release. The scorecard exists so you stop spending the capacity you do have on the wrong step.

It's free because I want to know what school leaders are actually scoring. Seeing where schools get stuck teaches me more than any survey I could run.

Question 1 of 5

Do you know where your school actually stands with AI?

Not what you suspect. What you could show a board. Tick what you genuinely have today:

Question 1: Know where you are

Why sequence matters

Each step creates the conditions the next one needs.

A policy handed to a community that wasn't consulted arrives as an instruction, not an agreement. Training without shared classroom expectations doesn't stick. And everything designed without a baseline is designed on a guess. That's why the scorecard doesn't measure how much AI your school uses. It finds the first step where the conditions aren't in place yet, because that's where the work is.

The five steps are sequenced deliberately: the baseline comes first, then shared expectations, then the community position, then governance, and training last, because training is the only one you can measure against what came before it. The full method is here.