AI Readiness Assessment
Know where your team stands with AI — before you invest in training
AISA measures AI readiness through conversation, not surveys. Each person gets a 20-minute assessment that scores what they can actually do — across prompting, critical thinking, workflow integration, technical understanding, and safety.
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The AI readiness problem most organisations get wrong
Most AI readiness assessments measure the wrong thing. They ask people how confident they feel about AI, then report those self-assessments as skill levels. The result: training budgets allocated based on perception, not reality.
AISA's data shows professionals overestimate their AI skills by an average of 18.5 points on a 100-point scale. That's the gap between what your team thinks it can do and what it actually demonstrates in a structured assessment.
An AI readiness assessment that measures demonstrated capability — not self-reported confidence — gives you the data to make training decisions that actually work.
What the AI readiness assessment measures
Every assessment scores 11 specific AI skills grouped into 5 dimensions. Each score is backed by evidence — a direct quote from the conversation where the person demonstrated (or didn't demonstrate) that skill.
Prompting & Communication
23%How they structure instructions, iterate on output, and manage context.
Critical Thinking
22%Whether they evaluate AI output or accept it at face value.
Technical Understanding
20%How AI works at a level that informs tool and workflow decisions.
Workflow & Application
25%How deeply AI is integrated into their actual work.
Safety & Responsibility
10%Data boundaries, risk awareness, and downstream impact.
The framework is validated against Anthropic's AI Fluency Index (93% criteria overlap) and covers 100% of the U.S. Department of Labor's 25 AI literacy sub-competencies.
How the assessment works
A 20-minute conversation
Each person talks to AISA — an AI facilitator that adapts to their skill level and profession. No multiple choice. No forms. Just a natural conversation about how they use AI.
Evidence-based scoring
A separate AI evaluator scores the conversation against the published rubric. Every score is tied to a specific quote — what the person actually said and demonstrated, not what they claimed.
Calibrated by a senior model
A final calibration pass reviews the full transcript holistically, correcting for any turn-by-turn biases. The result: a scored profile across all 11 criteria, a persona classification, and specific growth recommendations.
What you get for your organisation
Individual reports
Each person receives a free detailed report — composite score, dimension breakdown, persona classification, and personalised growth recommendations. View a sample report. Learn more →
Team-level analytics
Aggregate scores by role, department, or seniority. See where the gaps are and which dimensions need the most attention across your organisation. Learn more →
Benchmark against the population
Compare your team against 1,200+ assessed professionals via the AISA AI Fluency Index. Know whether your workforce is above or below the curve — dimension by dimension. Learn more →
Pre/post training measurement
Run assessments before and after AI training. The same rubric, the same scoring — apples-to-apples comparison that proves whether your investment worked.
Evidence-backed certification
Top performers can unlock the official AISA AI Skills Certificate — a verifiable credential backed by their actual assessment data, not a course completion badge.
AI readiness vs AI maturity assessment
These terms describe different things. An AI maturity assessment evaluates your organisation — infrastructure, governance, strategy, data pipelines. An AI readiness assessment evaluates your people — can they actually use AI effectively?
| AI Maturity | AI Readiness (AISA) | |
|---|---|---|
| Measures | Organisation: infrastructure, governance, strategy | People: individual AI skills, demonstrated capability |
| Method | Stakeholder interviews, documentation review | Conversational assessment, evidence-scored |
| Output | Maturity level (1-5), strategic recommendations | Per-person scores, team analytics, training targets |
| Best for | CTO/CIO strategic planning | L&D, HR, team leads planning training |
The two are complementary. Organisational maturity without individual capability is strategy without execution. For a comparison of assessment tools, see AI Readiness Assessment Tools Compared.
AI readiness assessment FAQ
What does an AI readiness assessment measure?
An AI readiness assessment measures how effectively your workforce can use AI tools. AISA scores 11 specific skills across 5 dimensions — Prompting, Critical Thinking, Technical Understanding, Workflow Integration, and Safety — through a 20-minute conversational evaluation, not a self-reported survey.
How is this different from an AI maturity assessment?
Most AI maturity assessments measure organisational readiness — infrastructure, strategy, governance. AISA measures individual readiness — what your people can actually do with AI. The two are complementary: organisational maturity without individual capability is strategy without execution.
How long does the AI readiness assessment take?
Each assessment takes 20 minutes per person. It is a conversation with an AI facilitator — no forms, no multiple choice. Results are available within 3 minutes. For teams, assessments can be completed asynchronously over days or weeks.
Can I measure AI readiness before and after training?
Yes. AISA uses the same validated rubric for every assessment, so pre- and post-training comparisons are apples-to-apples. The AISA AI Fluency Index provides population benchmarks to contextualise your team scores against 1,200+ assessed professionals.
The Science Behind AISA
In 2026, Anthropic published the AI Fluency Index — the largest empirical study of AI fluency to date, analysing nearly 10,000 conversations. AISA covers 93% of the behaviours Anthropic identified as markers of AI fluency and goes even deeper with 4 additional dimensions. The U.S. Department of Labor's AI Literacy Framework (TEN 07-25) defines what every worker needs to know about AI — AISA covers 100% of its 25 sub-competencies.Read our analysis: Anthropic's AI Fluency Study & AISA · DOL AI Literacy Framework & AISA
AISA's framework is developed by a team with deep roots in tech, behavioural science, and AI product leadership — the rubric is informed by backgrounds spanning the Metropolitan Police, Harvard, Crowdbotics (Silicon Valley), and the European School of Economics.
