CEO Assessment

CEO AI Transformation Maturity Diagnostic

Use this assessment to test whether AI is changing how the business creates value, makes decisions, governs risk, and operates at scale. Score each statement from 1 to 5, then review the maturity band.

Live score

0 / 30

Answer the six dimensions to reveal your maturity band.

0 of 6 complete
01 AI Is a Business Redesign

AI has been declared and managed as a business redesign, not a technology programme or collection of tools.

02 Decision Architecture

The organisation knows where AI advises, decides, automates, escalates, and where humans retain explicit control.

03 Core Workflow Embedding

AI is embedded into revenue-generating, cost-driving, customer-facing, or risk-critical workflows with real adoption.

04 Data and Operating Foundations

Data ownership, quality, access, process ownership, and operating cadence are strong enough for AI to scale responsibly.

05 Workforce Recontracting

Roles, incentives, skills, authority, and adoption expectations have been redesigned around AI-enabled work.

06 Governance, Risk, and Value

AI value, risk, dependency, incidents, owners, controls, and board visibility are managed as part of enterprise governance.

Interpreting Your Score

Your score

6-12: Exposed

AI activity is likely present, but transformation control is weak. The CEO should reset ownership, stop low-value activity, and define the business outcomes AI must improve.

Your score

13-18: Fragmented

The organisation has useful pilots or pockets of adoption, but value, governance, workflow change, and accountability are not yet moving together.

Your score

19-24: Scaling

AI is becoming operationally meaningful. The priority is now consistency: sharper measurement, stronger governance, and better cross-functional ownership.

Your score

25-30: Transforming

AI is changing how the organisation works. The next leadership task is to maintain agency, manage dependency, and keep value creation tied to strategy.