Question 1

Does this need to be connected to our LMS?

Accepted Answer

No. The diagnostic runs on a link, so nothing has to be installed or integrated to use it. Results come back as three documents - a department heatmap, a readiness assessment per team, and a one-page scorecard per person - which you can file wherever you keep records. If you need scores pushed into a specific system, raise it when you request a quote and we will tell you what is possible.

Question 2

How do you measure whether staff are ready to use AI?

Accepted Answer

In two steps. A short conversation asks each person about their role, their seniority and which AI tools they actually use. Then they write a real prompt for a real task, and that prompt is scored. You see what each person can do, not what they say they can do.

Question 3

Can the diagnostic be set up around our organization?

Accepted Answer

Yes, in two ways. The intake asks each person about their own role, seniority and tool stack, so the assessment reflects the work they actually do. And on the Enterprise plan you can define your own departments and tags, so the heatmap is grouped the way your organization is grouped.

Question 4

How is this different from an AI training course?

Accepted Answer

It is a test, not a course. Nobody sits through a module. Each person spends about five minutes being assessed, and you get a measurement of where your organization stands. What you do with that measurement is a separate decision - and we can deliver the training too, if you want it.

Question 5

How is our data handled?

Accepted Answer

Prompts are used only to score skill. No model is trained on them, and nothing is shared with third parties. Each client's assessment data is kept in its own workspace. If you have specific requirements on processing location, retention or a data processing agreement, raise them with the quote request and we will answer them in writing.

Question 6

Does it check whether people verify what AI produces?

Accepted Answer

Yes. Checking AI output is one of the things the diagnostic looks at, alongside prompt structure, context grounding and data-safety awareness. Where someone rates themselves highly on checking output but nothing in their task confirms it, the scorecard marks the claim as unverified rather than scoring it.

Question 7

How do we show this made a difference?

Accepted Answer

By running it twice. Everyone is scored the same way, so a later run is directly comparable to the first - you see which teams moved and by how much, not who attended what. The Enterprise plan includes a quarterly re-audit for exactly this.

Before you roll out AI, find out who can actually use it.

Department AI Literacy Mosaic

Workforce AI Heatmap

1. Executive & Strategy

2. Commercial & Revenue

3. Engineering & Product

4. Marketing & Growth

5. Operations, HR & Legal

Live view of team readiness

Confidence vs verified skill

Decisions, not dashboards

Measure first. Then spend.

Generic AI training fails because it is bought blind

Frequently asked questions

Ready to see where your teams stand?