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AI adoption is a human challenge,
not a technology one.

The Adoption Quality Score (AQS™) measures what others miss: the psychological drivers and barriers that determine whether AI adoption sticks or stalls.

Most organisations are measuring the wrong thing.

BillionsarebeingspentonAItools.Trainingprogramsarerunning.Licenseshavebeenpurchased.Andyetadoptionisflatlined.

IntheUK,over 80% ofbusinesseshavenoactiveplantouseAI.Amongthosethatdo,only 30% ofstaffreportusingit.IntheUS,dailyAIusesitsatjust 10%. AcrossEurope,fewerthanhalfofthosewho'vetriedGenAIuseitintheirwork.

Theindustryhasconvergedonthesamediagnosis:theproblemishuman,nottechnical.What'sbeenmissingisapracticalwaytoactonthatdiagnosis.

What we have discovered.

The Adoption Quality Score (AQS™) measures what others miss: the psychological drivers and barriers that determine whether AI adoption sticks or stalls.

AI Skills Confidence 0
Psychological Readiness 0

Training isn't the bottleneck. Anxiety is.

High confidence in AI skills, but low psychological readiness.

Average Adoption Quality Score

0.0
Amber Zone

Functional but fragile.

0% Only

Shallow Utilization

Use AI for complex, strategically important tasks. The rest stay shallow.

0%

Misaligned Employees

Relevance & Readiness

59% of employees are misaligned on Relevance and Readiness. Different problems, requiring different solutions.

Get the full picture

Includes sector breakdowns, seniority effects, and the interventions that follow from the data.

The Framework

Adoption Quality

Adoption Quality captures the range of drivers and barriers that shape whether employees engage with AI effectively — not just whether they've logged in. Four components:

  • Means — Can your people use the tools?
  • Machinery — Does your organisation make it easy?
  • Relevance — Do your people see the point?
  • Readiness — Are hidden anxieties holding them back?

These combine into a single score (0–100). The real power is in the decomposition, in understanding which components are dragging the score down, for which groups, and designing targeted responses.

100
AQS Score
Relevance
30%
Readiness
30%
Means
20%
Machinery
20%
How We Work

Diagnose. Design. Deliver.

1

Diagnose.

Run the AQS™ across your organisation. See where adoption quality is strong and where it's at risk.

2

Design.

Turn diagnostic insight into a targeted intervention strategy built around your data, not a generic playbook.

3

Deliver.

Implement what works. Bespoke training, barrier reduction and leadership enablement measured and refined.

About Us

aq is a specialist AI transformation partner. With deep experience in behavioural science and data science, we work with organisations that want to drive AI adoption that matters for the organisation and for all those who work there.

Testimonials

What our clients say.

"AQS has completely changed how we approach AI adoption. It's no longer a guessing game; we have the data to drive real human change."

Sarah Jenkins

Sarah Jenkins

Chief Digital Officer, global Retailer

"The psychological readiness metric was a revelation for our leadership. We finally understood why our training wasn't sticking."

Dr. Marcus Chen

Dr. Marcus Chen

Head of AI Strategy, FinTech Group

"Working with aq gave us a roadmap that our people actually wanted to follow. The results in the first quarter were beyond our expectations."

Elena Rodriguez

Elena Rodriguez

VP of People Operations, TechCorp

Contact Us

Let's talk.

Whether you're seeing AI adoption plateau, preparing for a new rollout, or want to understand what's really going on beneath the surface — we'd welcome a conversation.

Email us directly

info@aq-consulting.ai