AI Boss Tools | Diagnostic 07 • Back to the Hub

AI Maturity
Assessment

Most organisations think they are further along than they are. This assessment scores yours across the five pillars that maturity research keeps finding: strategy, data, talent, governance, and delivered value. Fifteen questions place you on a five-level scale and produce a one-pager for your leadership team.

15Questions
5Pillars
5Maturity Levels
6Minutes

The Five Levels

Maturity models rank how deeply a capability is embedded in an organisation. Gartner's widely used AI maturity scale runs from Awareness (talking about it) through Active (experimenting), Operational (in production), and Systemic (embedded in how you work) to Transformational (AI shapes the business model). MIT Sloan Management Review and BCG's long-running research finds the same pattern: most companies stall between experimenting and production.

The blockers are usually organisational rather than technical: a missing strategy, ungoverned data, untrained staff, and results nobody measures. Those are the pillars this assessment scores, three questions each.

Answer for how your organisation runs today, not for what the strategy documents describe.

Pillar 01
Strategy & Leadership
Pillar 02
Data & Infrastructure
Pillar 03
Talent & Skills
Pillar 04
Governance & Risk
Pillar 05
Operations & Value

The Research Behind This Tool

The five-level scale (Awareness to Transformational) this assessment's levels are modelled on.

Multi-year global surveys on why AI initiatives create value in some organisations and stall in most.

Found 63 percent of organisations have no AI governance policy, the most common maturity gap of all.

What the Report Contains

A score for every dimension, a median benchmark to compare against, a specific next step for each dimension, and a one-pager sized for a board pack. Your name and email open it, and there is no charge.