AI Framework Suite

AI Maturity Model

A quick baseline for understanding where individuals, teams or the whole organisation currently stand with AI. Identify where you are, set targets by role and team, and track progress over time.

5 dimensions

5 maturity levels

~5 minutes

Open to everyone, including those not yet using AI

Taking it

How it works

For each of five dimensions, choose the description that most accurately reflects where you are right now. No numbers to assign. The description either matches your situation or it does not.

Applying it

How to use it

Use as an all-staff baseline. Set targets by team and role: for example, AI Committee at L4, all staff at L3, digital team at L4 to L5. Rerun quarterly to track progress.

The five stages

The stages describe recognisable points in the journey of working with AI. Most people and organisations sit somewhere between stages rather than neatly at one point. The profile across all five dimensions is usually more useful than the overall stage number.

  1. Stage 1AwarenessAware that AI tools exist. Have tried one or two briefly. Not yet part of regular work.
  2. Stage 2ExplorationActively exploring AI tools and use cases. Individual initiative, no consistent approach yet.
  3. Stage 3AdoptionAI is adopted into regular workflow. Consistent use across tasks. Team practices starting to form.
  4. Stage 4IntegrationAI is integrated into how the organisation works. Structured approach, redesigned workflows, governance developing.
  5. Stage 5TransformationAI is embedded across the organisation and shapes how it operates. Clear governance, training and strategic alignment.

Five dimensions of AI maturity

Each dimension is assessed independently, showing where development is uneven.

Tool Familiarity

Which AI platforms are used regularly and how well understood across the team.

Prompting Confidence

How structured and deliberate the approach to briefing AI is, from ad hoc requests to systematic instruction design.

Workflow Integration

How deeply AI is embedded in regular processes versus used for occasional standalone tasks.

Legal and Ethical Awareness

Understanding of data protection, consent, bias and responsible use as they apply to AI.

Strategic Vision

How clearly AI fits into the organisation’s strategic direction, from peripheral tool to embedded capability informing decisions.