This section introduces maturity models and governance frameworks for assessing organisational AI readiness, including TEQSA, Jisc, ACODE, UNESCO, and NZQA resources.

Maturity Models + Strategy Tools

This section introduces maturity models and governance frameworks for assessing organisational AI readiness, including TEQSA, Jisc, ACODE, UNESCO, and NZQA resources. It provides a structured self-assessment process for leadership teams to benchmark institutional capability, identify priority risks and opportunities, and develop strategic action plans. The content positions maturity frameworks as mechanisms for creating organisational coherence and shared language, contrasting strategic adoption with fragmented implementation across educational institutions.

Created by Graeme Smith and Liza Kohunui

A responsible AI strategy is never static — it evolves as your organisation learns, reflects, and adapts.

These maturity models and governance tools help leaders assess current capability, identify gaps, and plan next steps.

Key Frameworks for Education Leaders

Optional Leadership Practice

Try this at SLT or Board level:

  • Choose one maturity model (Jisc is a strong starting point).

  • Complete the self-assessment as a leadership group.

  • Identify:

One priority risk (privacy, equity, data sovereignty, capability gaps)

One opportunity (assessment redesign, staff confidence, productivity, cultural safety)

  • Convert these into 90-day actions with distributed ownership.

This creates clarity, shared language, and a coherent organisational direction — rather than everyone improvising.

FrameworkWhat It Offers
TEQSA Generative AI Toolkit (Australia)Policy templates, risk guidance, assessment advice, sample integrity statements
Jisc AI Maturity Model (UK)Organisational self-assessment to benchmark readiness across governance, capability, ethics, and operations
ACODE AI Guidelines for Australasian Tertiary LeadersGovernance structures, PLD planning, risk management, and strategic integration
UNESCO Guidance for AI in EducationGlobal framing for ethics, equity, data rights, and responsible governance
NZQA Academic Integrity + AI GuidanceLocal integrity expectations, AI-related risks, and assessment design considerations