Fragment Index · AI Maturity Diagnostic

Where does your organisation stand on AI — and what is that position worth?

Twelve questions across the six dimensions that determine whether AI creates value or stalls in pilots. Benchmarked against your cohort, followed by a personalised report on the gap that matters most.

12 questions · ~4 minutes · Benchmarks indicative

Dimensions assessed

From strategy through to measured value capture

25%

Weight on adoption & value

Because pilots are common; captured value is not

Tracks

Enterprise and SMB — benchmarked separately

Methodology

Six dimensions, weighted by where value is won or lost.

01Strategy & RoadmapWhether AI direction is documented, funded, and owned at the top15%

02Talent & CapabilitiesDepth of capability and how deliberately it is being built15%

03Operating Model & GovernanceHow initiatives reach production, and how risk is governed20%

04TechnologyReadiness of the stack to support AI beyond experiments10%

05DataAccessibility, quality, and ownership of the data AI depends on15%

06Adoption & Value CaptureActual usage in daily work, and whether value is measured25%

Industry and size are used for segmentation only — they are not scored.

Archetypes

Four positions on the path to AI-native.

Emerging

0–34

AI activity is exploratory and individual. No coordinated strategy, governance, or measured value yet.

Developing

35–54

Pilots exist and intent is forming, but adoption is uneven and value capture is anecdotal rather than measured.

Scaling

55–74

Multiple use cases in production with emerging governance. The gap to the frontier is execution discipline, not ambition.

AI-Native

75–100

AI is embedded in the operating model. Value is measured, governed, and compounding across the organisation.

The diagnostic

Four minutes. An honest reading.

Twelve questions, six dimensions, a benchmarked score — then a short consultation with our diagnostic engine, and a personalised report by email.

12 questions · ~4 minutes · Benchmarks indicative