AI Employee Assessment
AI Readiness Score
How AI-ready are you, really?
A 10-question diagnostic. Get your score out of 30 and see exactly where you rank against 227+ teams on the PSV maturity framework.
Takes about 3 minutes. Instant results.
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The framework
01Exploring02Experimenting03Piloting04Deploying05Operating06Compounding07Native
How the quiz works
What the AI readiness quiz measures
The AI readiness quiz is a ten-question diagnostic that places your team on PSV's seven-stage AI operator maturity framework, from Exploring through Native. It asks where your team's week goes, how work moves between systems, and how far AI has reached into real workflows.
Most of the questions are about operations rather than tools: manual load, speed to output, how much institutional knowledge would leave with a top performer, and the single biggest constraint on your team's output right now.
- What it measures
Ten areas of how your team works today, one question each, with four answers per question:
- Operational Load
- Infrastructure
- Data Processing
- Speed to Output
- Process Maturity
- Revenue Operations
- AI Adoption
- Competitive Velocity
- Data Architecture
- Strategic Constraint
- How long it takes
About three minutes. Answer by clicking, or with the 1 to 4 keys on a desktop. After the last answer, a short form asks for your first name, work email and phone, then the result appears and a copy is emailed to you.
- What you get
Your score out of 30, your stage on the seven-stage framework, a peer benchmark percentile for that stage, and an estimate of the team hours lost each week to manual execution, scaled by your answers.
Common questions
- How long does the AI readiness quiz take?
- About three minutes. It is ten multiple-choice questions, shown one at a time, and the result is instant. The quiz is free.
- How is the AI readiness score calculated?
- Each question has four answers worth 0 to 3 points, so the total runs from 0 to 30. Score bands place that total on the seven-stage maturity framework, and the result shows the percentile for your stage.
- What are the seven stages of AI operator maturity?
- 1. Exploring: Researching. No active AI use. 2. Experimenting: Pilots. Nothing in production. 3. Piloting: 1-2 production workflows, not scaled. 4. Deploying: Multi-workflow team adoption. 5. Operating: Continuous AI ops, measurable ROI. 6. Compounding: AI as strategic advantage across ops. 7. Native: AI-first workflows. Teams built around AI.