This tool is an official companion to the AI Project Governance Framework (AIPGF), which is accredited by APMG International.
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This assessment evaluates your team's or organisation's governance maturity of AI usage in projects across four key pillars: AI Strategy & Governance, AI Tools & Infrastructure, Human Capability & Accountability, and Data Readiness & Quality.
Reference to "projects" implies "projects and programmes" or the "project environment" as appropriate.
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Level 3: Standardised
AI governance processes in projects are documented, repeatable, and consistent in projects within parts of the organisation.
General Recommendations for Current Level
This tool is an official companion to the AI Project Governance Framework (AIPGF), which is accredited by APMG International.
Explore AIPGF certification ?
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Maturity Level Definitions
Use these definitions to help you choose the most appropriate score for each question:
Level 1: Ad Hoc
Any use of AI in projects is largely unstructured and uncontrolled. Governance of AI usage in projects is non-existent, sporadic or reactive.
No formal processes or policies
Random or chaotic approach
Relies on individual knowledge
Level 2: Initialised
AI governance processes in projects are minimally defined and occasionally implemented.
Basic processes starting to emerge
Some documentation exists
Inconsistent application
Level 3: Standardised
AI governance processes in projects are documented, repeatable, and consistent across projects within parts of the organisation.
Well-defined processes
Consistent implementation
Documented procedures
Level 4: Enterprised
AI governance processes in projects are institutionalised, integrated across the organisation, and measured regularly. Audits provide independent assurance regarding the ethical, efficient and effective use of AI in the organisation's projects and programmes.
Organisation-wide integration
Regular measurement and monitoring
Continuous improvement
Level 5: Optimised
AI governance is fully integrated across the organisation's project ecosystem, continuously refined, and residual risk related to AI-usage is consistently low.