- AI enablementIndustry
- Teams adopting AIClient
- Training & EnablementCategory
- Fast to valueTime to impact
The challenge
- Most teams want to adopt AI but don’t know where they actually stand, who’s using it, who’s stuck, and what training would move the needle.
- Without that baseline, AI initiatives stall.
Measures a team’s AI literacy and readiness, then turns the gaps into a training plan.
A diagnostic that assesses how ready a team is to adopt AI, measuring literacy and day-to-day usage through a short questionnaire, scoring the result, and turning the gaps into a concrete training plan.
What we built
- 01A short questionnaire captures each person’s AI literacy and usage.
- 02Responses are scored into a clear readiness picture.
- 03Gaps are analysed to show where the team is strong and where it’s stuck.
- 04The result feeds a targeted AI training plan.
How it works
What it can do
Literacy assessment
Short questionnaire on AI knowledge and usage.
Readiness scoring
Turns answers into a clear maturity picture.
Gap analysis
Shows where the team is strong and where it’s stuck.
Training plan
Targets the gaps with a concrete plan.
Who stays in the loop
The call the system deliberately does not take, and what the person is given to take it with.
A diagnostic that assesses how ready a team is to adopt AI
The team’s own leadership
Decideswhich gaps are worth training against first
Seesthe scored readiness picture, gap by gap, per person and per team
The payoff
What is different once it is running. No invented numbers: these are the changes the work was built to make.
Before spending a euro on AI training, you know who’s ready, who’s stuck, and what would actually move the needle.
A clear baseline of team AI maturity.
Training targeted at real gaps, not guesses.
A concrete plan, not a vague ambition.
Built with
The layers this runs on, from what comes in to what it plugs into.
- Model layer
- Scoring
- Analysis
- Method
- Questionnaire
Common questions
The same answers as above, written out.
A diagnostic that assesses how ready a team is to adopt AI, measuring literacy and day-to-day usage through a short questionnaire, scoring the result, and turning the gaps into a concrete training plan.
Most teams want to adopt AI but don’t know where they actually stand, who’s using it, who’s stuck, and what training would move the needle. Without that baseline, AI initiatives stall.
The team completes a short questionnaire. Responses are scored into a readiness picture. Gaps map to a targeted training plan.
The team’s own leadership decides which gaps are worth training against first. They see the scored readiness picture, gap by gap, per person and per team.
Model layer: Scoring, Analysis. Method: Questionnaire.
A clear baseline of team AI maturity. Training targeted at real gaps, not guesses. A concrete plan, not a vague ambition.
Where this fits
The practice it belongs to, how an engagement like it runs, and what we have written about the subject.
- AI adoption
- Training
- Assessment
- AI enablement
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