Strategy
Is AI connected to mission, outcomes and investment?
Examines executive sponsorship, strategic alignment, portfolio choices, benefits ownership and the organisation’s ability to stop work that no longer serves its objectives.
The standard · Publication 03
AI maturity is not one number.
Capability advances at different speeds. Assessing five dimensions separately prevents technical progress from masking weaknesses in strategy, people, data or governance.
Data
Can trusted data reach the right use at the right time?
Examines quality, provenance, access, architecture, stewardship and the legal and ethical conditions required to use data for AI.
Technology
Can AI systems be built, integrated and operated reliably?
Examines platforms, engineering practices, model lifecycle, interoperability, resilience, monitoring and the ability to move beyond prototypes.
People
Does the organisation have the capability to adopt and govern AI?
Examines skills, roles, leadership, multidisciplinary delivery, workforce transition, learning and confidence among affected communities.
Governance
Are decisions accountable, proportionate and evidenced?
Examines risk, ethics, assurance, impact assessment, controls, oversight, incident response and traceable accountability.