LATYNEX

Is your team ready for an AI implementation — and where should it start?

Six questions about your team, how AI is already being used, and what data is involved. You get a plain-language verdict — not a score — on whether a fixed-scope package fits, whether something needs settling first, or whether it needs a proper scoping conversation. No email to see it.

Question 1 of 6

Roughly how many people would use this?

How this assessment works

No score, deliberately

There's no defensible weighting model behind a figure like "AI readiness: 74/100", so this doesn't produce one. The result is one of four labelled verdicts, and every reason shown names the specific answer that produced it — you can trace exactly why you got the result you did.

What the rules actually are

Checked in this order: (1) already using AI informally, no written data rule, and sensitive data at least sometimes in the picture → settle a usage rule first; (2) no named account owner on a team of 16 or more → assign one before the workspace grows; (3) a team of up to 15 with a named owner and a clear use case → the AI Team Setup entry package's scope likely fits; (4) a larger team or an unclear first use case → custom scope. Everything else lands on "reasonably ready, governance step still worth it". The order matters, and it's the order shown — nothing is hidden or weighted behind it.

What this deliberately doesn't do

It doesn't recommend a specific AI platform, because that depends on your existing tools and is confirmed during scoping. It doesn't give any legal or compliance conclusion about your data handling — whether a specific use is permitted is a judgement for your team or counsel, not something a short questionnaire can settle.

Where the answers go

Nowhere by default. The result is computed in your browser. Your answers are only sent if you choose to email yourself a copy or open the quote form — and then only the summary shown on screen, never anything you didn't see.

Frequently asked

Do I need to give my email to see the result?

No. The full result appears on screen as soon as you've answered the six questions. Email is only if you want a written copy.

Is this a score out of 100?

No, and deliberately so. There's no honest weighting model that turns six answers into a meaningful number. You get a labelled verdict and the specific reasons behind it instead.

Does this tell me whether we're compliant with data-protection rules?

No. It asks how often sensitive data is realistically involved so it can point toward a written usage rule where one is missing — but whether a specific use of AI is permitted for your business is a legal judgement this tool doesn't make.

What if the result says custom scope but I have a small team?

That usually means the first use case isn't settled yet — a short scoping conversation about what to build first is a better starting point than fixing a package around an undefined goal.

See also