AI readiness is not about access to tools. It is about how effectively your people use them.
Assess your AI capability across 8 critical domains including prompting, evaluation, decision-making and ethical awareness.
Your AI Readiness Capability Diagnostic (24 Items)
This diagnostic provides a structured profile of your AI capability across the eight key AI competencies in our AI competency model:
- Understanding AI
- Prompting
- Evaluation
- Decision-making
- Ethical awareness
- Workflow integration
- Credibility judgement
- Confidence
AI Readiness Diagnostic
Complete the 24-item self-report diagnostic and compare it with the scenario-based diagnostic to identify your AI readiness profile.
What AI Readiness Really Means for Individuals
AI capability is not determined by the tools themselves, but by the human skills used to interact with them.
Therefore AI readiness refers to:
- The ability to use AI tools effectively and consistently
- Capability to evaluate and challenge AI-generated outputs
- The presence of structured decision-making alongside AI use
- Management of ethical, reputational, and operational risks
For background on AI systems and their capabilities, see overview of artificial intelligence. —
Why Many Individuals Overestimate Their AI Readiness
Recent coverage from BBC Technology reporting and analysis in the Guardian Technology pages highlights a recurring theme:
- Rapid AI adoption
- Limited governance
- Uneven individual capability
This creates a gap between perceived and actual readiness.
How This AI Readiness Diagnostic Was Designed
This diagnostic has been developed using established principles from psychometric test design, drawing on over two decades of experience in assessment development.
1. Construct-Based Design
The model is built around eight clearly defined capability domains:
- Understanding AI
- Prompting
- Evaluation
- Decision-making
- Ethical awareness
- Workflow integration
- Credibility judgement
- Confidence
2. Multi-Item Measurement
Each capability is measured using three items, ensuring:
- Improved reliability
- Reduced measurement error
- Greater diagnostic precision
3. Behavioural Focus
Items are based on observable behaviours rather than abstract beliefs.
4. Scalable Design
The diagnostic is structured to support:
- Benchmarking across teams
- Future IRT calibration
- Integration into organisational analytics systems
Perfect base for:
- Cronbach alpha reliability
- factor modelling later
- benchmarking datasets
- norms by sector
AI Capability Frameworks
Explore more on AI capability frameworks here:
- AI literacy and readiness insights (RWA)
- Our AI literacy in education (SET)
- AI skills framework (Mosaic)
What Our AI Readiness Audits Typically Reveal
Six consistent capability gaps emerge.
1. Overconfidence with Weak Evaluation
Users often trust AI outputs without sufficient scrutiny.
2. Prompting Drives Performance Variability
Small differences in prompting skill produce large differences in output quality.
3. Weak Decision Discipline
AI is used to replace, rather than support, judgement.
4. Ethical Risk is Underestimated
Bias and misuse risks are rarely considered in day-to-day use.
5. Shallow Workflow Integration
AI is used tactically, not strategically.
6. Credibility Judgement is Inconsistent
Users struggle to distinguish between plausible and reliable outputs.
Next Step: Get your Full AI Readiness Report
Move beyond self-report diagnostics to a full psychometric AI readiness assessment, including scenario-based evaluation and organisational benchmarking.
Enquire about a full AI readiness audit —
Our Partner Sites
This diagnostic is part of our broader AI capability:
- RWA: Corporate AI readiness audits and psychometric assessment design
- SET: AI literacy for schools, parents, and pupils
- Mosaic: AI skills framework and competency engine
Our partner AI Readiness Diagnostics
Schools AI Readiness Diagnostic
Individual AI Readiness Diagnostic
Organisational AI Readiness Diagnostic
Together, these provide a unified approach to understanding and developing AI capability across all contexts.