Readiness & trust
Openness, confidence, reliability, appropriate reliance and perceived safeguards.
AI-adoption measurement · In development
Understand how AI adoption is really landing.
AIMaxx measures how teams and leaders experience an AI rollout, helping organisations identify barriers to adoption and focus support where it is most useful.
The measurement model brings together readiness, trust, usability, workload and perceived impact. It is designed to complement usage data with evidence about the human experience of change.
Measurement model
Diagnose experience, not just usage.
AIMaxx draws on established measures and measurement frameworks to examine four connected parts of an AI rollout.
Usability
Ease of use, clarity, workflow fit and friction in completing real tasks.
Workload
Mental demand, effort, frustration and whether the tool helps work keep moving.
Perceived impact
Whether people experience the rollout as useful, worthwhile and supportive of their role.
Development status
A working assessment flow, with release work still under way.
Current prototype
Working now
- Define the AI tool, audience and assessment cadence.
- Choose measure domains for the questions the rollout needs to answer.
- Build baseline, midpoint and follow-up participant survey journeys.
- Generate a participant-facing assessment experience.
Before release
Development focus
- Complete measure evidence, adaptation and licensing review.
- Refine reporting and interpretation for decision-makers.
- Strengthen onboarding, operational workflows and release safeguards.