A free AI readiness assessment grounded in occupational psychology that establishes a genuine baseline before you spend anything on training. Not a confidence quiz. Not an organisational audit. A real assessment of how each person works and where AI fits.
Training almost always starts without a proper understanding of where people currently are: what they can already do, how they're already using AI, what constraints they're working under, and what would actually make a difference for them.
The result is that some people find it too basic, others find it too advanced, and most find it doesn't quite fit their situation. Our research found that only 8% of organisations tailor AI training extensively to the individual, and 72% of employees have had no formal AI training at all despite having access to the tools.
The diagnostic solves this by establishing a clear picture of where each person is before any learning begins, and creating a reference point that you can return to at three months, six months, and twelve months to measure real change.
This isn't a self-assessment questionnaire or a multiple-choice quiz about AI features. It's grounded in occupational psychology research and years of practical evaluation work.
The diagnostic treats the individual as the unit of analysis, not the organisation. It looks at real work, real workflows, and real constraints, then produces a personalised report and learning plan that actually reflects the person's situation.
It also produces structured data that can configure a personalised AI learning companion, creating a support system that adapts to how each person learns best.
Where the person currently is on the AI adoption journey, from AI-aware through to workflow architect. How they use AI in real work today, their learner type, and the specific workflows where AI would add most value.
A self-report measure of how time is currently spent, what outputs are produced, and the quality of decisions and problem-solving. This is the genuine "before" measurement that most training never establishes.
A structured look at whether the work itself is high-value, and where AI could eliminate waste rather than just speed up activity that doesn't need doing. This is the question most AI training never asks.
A personalised route based on the diagnostic findings, including specific use cases for the person's role, a first safe experiment to start with, and a clear development pathway.
A structured conversation or guided assessment covering your work reality, current AI use, workflow friction, learning style, and environment constraints. Takes around 30 minutes for the full version, or 10 minutes for the short version.
A clear narrative report with your adoption stage, learner type, profile wheel showing current strengths and gaps, and a behavioural read that informs how you should learn. Written in plain English, not jargon.
With the full programme diagnostic, you also receive a personalised learning plan built around your adoption stage, learner type, dominant workflows, environment constraints, and first high-value, low-risk experiment. This becomes the starting point for development.
The report creates a natural agenda for a call. We talk through what the findings mean, what the best next step is, and whether a programme or ongoing support would be useful.
Example profile: "Explorer" learner type
Note: experimentation tolerance is assessed separately as a behavioural indicator
Each person's report includes a visual profile showing current capability across seven dimensions, scored 1 to 5 with evidence noted against each.
How confidently they use their main AI tool
How many distinct work uses are already active
How readily they spot where AI could help
What they do when AI gives a poor answer
How actively they check and edit outputs
How clearly they describe their work in steps
How comfortable they are trying, failing, refining
Most AI readiness assessments are self-report questionnaires that ask people to rate their confidence on a scale. Our diagnostic is grounded in PhD-level occupational psychology research and measures what people actually do with AI, not how confident they feel. It identifies behavioural signals that predict whether someone will sustain AI use or revert within weeks: iteration habit, verification discipline, experimentation tolerance, and AI imagination. It treats the individual as the unit of analysis, not the organisation.
Yes. The AI Snapshot is genuinely free for individuals. It takes 10 to 15 minutes and produces a personalised report covering your AI adoption stage, learner type, profile wheel across seven dimensions, and current AI use snapshot. There is no obligation and no sales pressure. The report creates a natural agenda for a follow-up conversation if you want one.
The free AI Snapshot tells you where you are: adoption stage, learner type, capability profile, and current AI use. The full programme diagnostic (included with the AI Champions Programme) goes deeper: it adds a productivity and performance baseline, a value stream analysis that examines whether the work itself is high-value, a detailed individual learning plan with specific use cases, and progress measurement revisited at three, six, and twelve months.
The free AI Snapshot takes approximately 10 to 15 minutes. It is completed through a guided conversation, not a multiple-choice form. The full programme diagnostic takes approximately 30 minutes and produces a significantly more detailed report.
Yes. The team diagnostic runs the assessment across a group and produces individual reports for each person plus a team-level summary and analysis. This gives the organisation a picture of AI capability across the group that didn't previously exist, along with a clear recommendation for next steps. The team diagnostic is available as a standalone service — get in touch to discuss your requirements.
The profile wheel scores each person across tool fluency, breadth of AI use, workflow clarity, AI imagination, iteration habit, verification discipline, and experimentation tolerance. Each dimension is scored 1 to 5 with evidence noted. Together they create a visual pattern that reveals strengths, development areas, and the specific kind of support each person needs.