AI Workforce Maturity Model
Assess your AI workforce maturity
One person answers 15 questions about readiness, infrastructure, culture, governance, and operations for AI work. See your stage in Supanova's model and the two areas you rated lowest, then take those answers to the people who know the work.
Five areas behind an AI workforce plan
Readiness.
Do people understand what an AI workforce could do, can leaders name a useful starting task, and is there a place to begin?
Infrastructure.
Which workflows could the available tools support, and what information can those workflows access?
Culture.
How do people try new ways of working, learn from them, and work alongside AI when responsibilities change?
Governance.
Who reviews decisions, owns risk, handles exceptions, and checks whether the work needs correction?
Operations.
Which workflows are candidates, what stays with a person, and what would a pilot plan cover?
A broad “Are we ready?” question can hide different answers from different owners.
Take one question into your next planning conversation
Choose the area you know least about. Name the person closest to that work and ask for one current workflow or policy example that shows how it happens today. If you cannot name an owner or find an example, bring that uncertainty to the meeting.
- Readiness: Where would we begin, and what task might AI work support?
- Infrastructure: Which workflow, tools, and accessible information would that work need?
- Culture: How do people test AI work and learn to work alongside it?
- Governance: Who reviews decisions, owns risk, and handles exceptions?
- Operations: What work stays with a person, and what would a pilot plan cover?
You can use this exercise before taking the assessment. It gives you one assumption to check with someone who sees the work firsthand.
What the assessment shows
Rate 15 statements from 1 to 5, three in each area. The assessment averages the answers within each area, gives all five area averages equal weight, and rounds the overall average to a stage in Supanova's model:
- Unaware
- Exploring
- Coordinated
- Optimized
- Orchestrated
The preview shows your stage on a five-stage ladder and the two areas you rated lowest, with a score for each. You can see this before entering an email. Enter an email in the assessment to see additional stage and gap detail.
The stage reflects one person's self-ratings. Use it to start a discussion with the people responsible for the work; it is not an independent audit or a comparison with other organizations.
Turn a low rating into a useful follow-up
If Governance is one of your two lowest-rated areas, ask who approves decisions and what happens when an exception arises. If Infrastructure is low, ask the workflow owner which tools and information the proposed work needs. A current example can support your rating or give you a reason to revise it.
Frequently asked questions
What if a colleague disagrees with my rating?
Ask for a current workflow or policy example and compare it with the answer you gave. This assessment records your view; a colleague's example can help you refine the planning question.
Does the stage tell us whether to deploy AI work?
No. The stage summarizes one person's answers in Supanova's model. Check the relevant workflow, ownership, and review questions before making a deployment decision.
What if I need views from several people?
The Team AI Readiness Pulse records named people's ratings and compares averages for the teams represented. This maturity assessment starts with one person's view of organizational practices.
Ask for the example behind the rating
Use your stage and two lowest-rated areas to ask the relevant owners how the work happens today. Their examples can show which assumption needs another look.