How to assess AI readiness before you choose any training
From our team's design of the Readiness Snapshot and the AI Readiness Diagnostic.
Assess readiness before you choose training, so the budget goes where the gap is and the result becomes the baseline for measuring impact. A useful assessment covers five areas: how people already use AI, how well they use it, whether leaders agree on what AI may decide, which ideas are already in circulation, and the tools, data and rules in place. Start with a short survey; add interviews and a tools check when the decision is large.
Why assess before training?
Because use is running ahead of guidance, and you cannot see where without asking. In a study of more than 48,000 people in 47 countries, 58% of employees said they intentionally use AI at work, yet only 47% had received any AI training and only 40% said their workplace had policies or guidance on generative AI. Nearly half (48%) had uploaded company information into public AI tools (University of Melbourne and KPMG, 2025; Indicative).
At organisation level, the gap shows up in results: nearly nine in ten organisations use AI regularly, but only 37% attribute any earnings impact to it (McKinsey, The state of AI in 2026; Indicative). Training chosen without knowing where the gap sits is likely to land in the wrong place.
What should an AI readiness assessment cover?
Five areas, each pointing to a different response:
- Use. Who already uses AI, for what, and on which tools, including unapproved ones.
- Skill. Whether people can get good output, check it and handle data safely.
- Leadership alignment. Whether leaders agree on what AI may decide and who signs off.
- Ideas. The AI ideas already in circulation, and who owns them.
- Tools, data and rules. Approved tools, data access and the policies that govern both.
What can a short survey tell you, and what can't it?
A short survey is fast and cheap, and it shows patterns: where use is high and guidance is thin, where confidence outruns skill, and which teams are ready to go further. It cannot tell you about data quality, the real list of ideas or how leaders would rule on a specific case.
Self-assessment also has limits. In one benchmark of enterprise assessments, only 11% of employees judged their own AI skill accurately (Workera, 2026 AI Skills Enterprise Benchmark; Vendor data). Good surveys therefore test what people do, through short scenarios, rather than only asking how confident they feel.
When do you need a full diagnostic?
When the decision is large: a program across several functions, a significant budget, or a plan that depends on data and systems. A full diagnostic takes about two weeks and adds three things a survey cannot: interviews with leaders, an inventory of the AI ideas already in circulation, and a check of tools and data. Its results become the baseline every later program is measured against.
How do you turn the result into a path?
Read the result as a set of gaps, and match each gap to a response:
| What the assessment shows | Where to start |
|---|---|
| Leaders disagree on what AI may decide | A leadership session that ends in funded decisions |
| Staff use AI widely, with little guidance | Practical training on daily work, and an employee AI policy |
| One function is ready and has clear workflows | Applied training for that function's team |
| A few people want to build | Hands-on agent building on a real use case |
| An idea is ready to test with real users | A live pilot with a baseline agreed in week one |
The Readiness Snapshot
Cader Group's free Readiness Snapshot is a short online assessment: 23 questions, about 10 minutes, with a personal result straight away. You get your result and a recommended path whether or not your organisation works with us. Your result is yours. Your individual answers are never shown to your employer.
Measure where your own team stands: take the free Readiness Snapshot
Frequently asked questions
What is an AI readiness assessment?
A structured check of how ready people, leaders, tools and data are to use AI well, used to decide where to invest first.
How is AI readiness different from AI maturity?
Maturity describes how far an organisation has come. Readiness asks a narrower question: what has to be true before the next step, and where the gaps are.
How long does an AI readiness assessment take?
A short survey takes about ten minutes per person. A full diagnostic, with leader interviews and a tools and data check, takes about two weeks.
Should individuals take a readiness assessment, or only organisations?
Both. An individual result shows each person where to start; combined results show the organisation where the gaps cluster.
Will my employer see my answers?
Not in the Readiness Snapshot. Individual answers are never shown to an employer.
References
- Gillespie, N., Lockey, S., et al. (2025). Trust, attitudes and use of artificial intelligence: A global study 2025. University of Melbourne and KPMG. 48,000+ people, 47 countries. https://figshare.unimelb.edu.au/articles/report/Trust_attitudes_and_use_of_artificial_intelligence_A_global_study_2025/28822919
- McKinsey & Company (2026). The state of AI in 2026. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai
- Workera (2026). AI Skills Enterprise Benchmark. 88,753 assessments. Vendor data. https://workera.ai
