Where does your organisation stand with AI?
Answer 10 questions and find out how ready you are out of 100. You’ll also get suggested next steps to improve your readiness.
Start the check- Unaware 0–20
- Exploring 20–40
- Experimenting 40–60
- Operational 60–80
- Embedded 80–100
See where you stand.
An AI readiness assessment in ten questions, about five minutes.
Your browser works out the score.
With JavaScript off there is no on-screen score, but the ten questions are all here. Answer them for yourself, then tell us what you found and we will read them with you.
OpenKit readiness check
What's your role?
Pick oneWe tailor the recommendations to the kind of decisions you can actually make.
What industry are you in?
Pick oneThis never changes your score; it only shapes the recommendations.
How big is the company?
Pick oneTeam size shapes which AI patterns actually work for you.
Which AI tools is the team paying for or using regularly?
Pick all that applyMulti-select. We care about what people actually open, not what shows up on the company card.
How would you describe the team's overall AI use?
Pick oneHonest answers get better reports. We've seen 'don't know' enough times that it doesn't count against you.
Where is AI actually being used?
Pick all that applyMulti-select. Pick the areas where the work has visibly changed.
What's stopping the team getting more out of AI?
Pick all that applyMulti-select. Pick the ones that apply, because most of the report comes from this answer.
Are any of these quietly happening?
Pick all that applyMulti-select. What you pick here drives the risk section of your result.
What's one thing you'd fix about how the team uses AI today?
Optional, free textOptional. One sentence is fine. This is the quote the report opens with.
AI plans for the year ahead?
Pick oneThis sets the urgency of the recommendations.
Your scorecard.
0 / 100
What we noticed
Suggested next steps, chosen from your answers
There is something you can try this week.
Inbox triage is an open-source Claude skill we publish and give away. It sorts a morning inbox into four piles and drafts the replies that need you, and it writes nothing back to your email. It runs on your own Claude account.
How inbox triage worksWant this as a PDF for your team?
Leave your email and the report downloads straight to your device, with your score and the suggested next steps written up in full. Name and company are optional, and only appear on the cover.
That didn’t send.
Something went wrong on our side. Try again, or email us for a copy.
Your report has downloaded.
It is in your downloads folder. We will only follow up if you left the switch on.
The report didn’t download this time. Try again, or write to [email protected] for a copy.
A result you can act on.
Answered honestly, the ten questions give you an indicative read of where your team stands and which risks are worth acting on first. Three things come back.
Your score and tier
A number out of 100, and where it lands on the five stages.
The risks in your answers
The quiet ones an audit flags first, surfaced from what you told us.
Suggested next steps
Steps chosen from your answers, drawn from the five pillars below.
How the score reads.
The scale is the arc at the top of this page: five stages, twenty points each, unaware through to embedded. Your industry sets the benchmark you are read against, and it never moves your own score.
-
Unaware0–20
AI hasn't meaningfully arrived yet. That's a cleaner starting point than a mess of half-adopted tools, and the first move is mapping where it would earn its place.
-
Exploring20–40
Tools are appearing but the work hasn't changed shape yet. The next stretch decides whether this compounds or stalls.
-
Experimenting40–60
There are pockets of real use but nothing holding them together, so the same problem tends to get solved three different ways in three different teams.
-
Operational60–80
AI is doing real work in places. What is left is extending it past the teams already using it, and writing down who signs off what.
-
Embedded80–100
Ahead of the indicative benchmark for your industry. The next step is measuring impact properly and hardening the governance underneath it.
An AI audit is where that read gets grounded in your actual tools, data and workflows, and where the number stops being indicative.
The plan draws from five pillars.
Your next steps are chosen from these, weighted by where the gaps are in your answers.
01
Strategy & leadership
- Define the business problem first
- Translate problems into measurable KPIs
- Craft and socialise a clear AI vision
02
Data & infrastructure
- Run a non-technical data audit
- Prioritise one high-value data domain and focus all cleaning effort there first
- Stand up a lightweight data governance council to set rules for quality and access
03
People & culture
- Launch an AI fluency programme so the whole team knows what the tools can and cannot do
- Identify and back your AI champions, the early adopters who will mentor their peers
- Give people a low-risk place to experiment, and tell them which parts of their job it is meant to take over
04
Governance & ethics
- Assemble a multidisciplinary risk council across legal, security, HR and the business
- Adopt a recognised framework like the NIST AI RMF rather than inventing your own
- Make a basic risk assessment mandatory in every new AI project proposal
05
Implementation & value
- Pick one pilot small enough to finish this quarter, against a problem the team already complains about
- Measure a baseline before launch so the after has a before to point at
- Decide which numbers count as success, the cost of running it included, and set the date you will review them
Things people ask.
How long does the AI readiness check take?
About five minutes. Ten questions, most a single click, and one optional open-text box you can skip. Your answers stay in your browser unless you choose to send us your details.
What do I get at the end?
A score out of 100, your tier on a five-stage scale, the risks we noticed in your answers, and suggested next steps grouped under the pillars they come from. It is all on screen, and it downloads as a PDF if you want a copy to keep.
How accurate is the score?
It is an indicative self-assessment, scored from your answers in your browser. An AI Audit is where the picture becomes grounded in your actual tools, data and workflows.
What happens to my answers?
They score your result in your browser. Nothing leaves your device unless you ask for the PDF after your result, in which case your answers reach the OpenKit team. The PDF is built in your browser too. De-identified aggregates feed our analytics; we do not sell your answers or pass them on.
Will OpenKit contact me afterwards?
Only if you ask for the PDF and turn the follow-up switch on, and it is off until you turn it on. The result is yours either way, and it tells you how to reach us if you want to take it further.
How is the score worked out?
Each answer carries a weight: role, size, tools, where AI is used, what is blocking it, and the risks quietly running. Your industry never changes your score; it only shapes the recommendations.
Do I need to sign up or install anything?
No. There is no email gate and nothing to install. You answer ten questions and read your result on the page; the PDF copy is optional, and that is the only step that asks for your details.
Who is OpenKit?
A UK AI consultancy. The questions here are the ones we ask in the first hour of a real audit; when the picture warrants it, we build and embed what earns its place.