Where is your team actually at with AI?
A 2-minute AI maturity assessment for product and operations leaders.
Built from 100+ conversations with leaders at European and US tech companies.
Frequently asked
What is AI maturity?
AI maturity is the difference between using AI and having redesigned the work because of it. Most teams are at the first: adoption. They have bought the tools, subscribed the licenses, and their people use ChatGPT or Claude every day. Very few have crossed into the second: redesign. Redesign means the work looks different — some things stopped, some roles shifted, someone measured what changed against a number the business already reported.
The AI Maturity Quiz measures where your team actually sits on the adoption vs redesign axis. It maps to five levels, from Level 1 (the equipment is in, nobody is really cooking yet) to Level 5 (what you serve changed because of what you learned).
The gap between Level 2 and Level 3 is the whole story. Almost every scaling company sits at Level 2. Almost none get past it without a deliberate move.
What are the five levels of AI maturity?
Level 1 — You bought the kitchen.
The equipment is in. Nobody is really cooking yet. Any usage you have is individual and invisible.
Level 2 — Everyone cooks what they know.
You hired good people and they are each cooking their own dishes. Some of them are excellent. There is no menu, nobody compares notes, and a customer cannot tell you what this restaurant serves. This is where most teams are, including ones where almost everyone uses AI every day.
Level 3 — You wrote the menu.
You have been explicit about what the team serves and what it does not. Things get built on purpose rather than by accident. You still cannot tell which dishes are worth keeping.
Level 4 — You know what sells.
You measure what the work produced against numbers you already reported before AI existed. You know which dishes are worth keeping. Some roles have started to shift.
Level 5 — You redesigned the menu.
You redesigned what you serve based on what you learned, and the kitchen is organised differently as a result. Who does what is not what it was. Freed capacity went somewhere deliberate instead of quietly filling back up.
Who is this quiz for?
The quiz is built for function leaders at scaling companies. VPs of People, VPs of Growth, Heads of Operations, Heads of Product, Chiefs of Staff, mostly at companies between 200 and 2,000 people. If your team has adopted AI tools but you cannot yet say what the work now looks like differently because of that, this quiz is for you. If AI is still a rumour on your team, you are earlier than the quiz will tell you; if you are running measured AI-native workflows against pre-AI baselines, you are already past it.
How is the quiz scored?
Six questions, each scoring 0 to 3 points based on which answer best matches your team. Highest possible score: 18. The score bands map to levels: 0-4 is Level 1, 5-9 is Level 2, 10-13 is Level 3, 14-16 is Level 4, and 17-18 is Level 5.
One override applies. Questions 5 and 6 measure whether AI has actually changed the work, or whether it has only made the same work faster. If your combined score on Q5 and Q6 is 2 or less, the result caps at Level 2 regardless of your overall score. A kitchen full of talented cooks is not a restaurant.
The result screen shows your level, your weakest link — the single question you scored lowest on, with one concrete next move — and a recommendation calibrated to your level.
What is the difference between AI adoption and AI redesign?
Adoption is people using AI tools. Redesign is the work being different because of it. A team can have 100% adoption and 0% redesign, and most do. Adoption gets you to Level 2. Nothing about adoption gets you past it.
How is this different from an AI readiness assessment?
A readiness assessment asks whether your infrastructure, budget, and data are in place. This quiz asks whether the work has changed. Those are different questions with different answers, and the second one is the one that predicts business outcomes.
Who built the benchmark?
Theresa Gschwandtner, founder of Kundra. The benchmark draws on more than 100 conversations with function leaders at European and US scale-ups. Every score in the benchmark is one Theresa ran with the leader directly, using the same six questions. The scoring framework itself builds on the skill-mapping method she worked with during her time at LinkedIn.
How many teams have taken the quiz?
The published benchmark draws on more than 100 direct conversations. Live quiz responses feed the next update. If the exact number matters for how you interpret your result, ask when you receive the findings and Theresa will tell you where it stands.
Is my data shared?
Your answers, level, and email are stored so you can receive the benchmark findings. They are never shared with third parties or listed publicly. Individual teams are not identifiable in the benchmark. If you want your data removed later, email theresa@kundra.ai and it is done.
Can I take the quiz for multiple teams?
Yes. Take it once per team. The picture across teams is often more useful than any single result — it usually reveals which parts of the business have crossed into redesign and which are still in adoption.