What Is the SMART: AI Maturity Model?
Most organisations know they need to do more with AI. Fewer have a clear, honest picture of where they actually are.
The SMART: AI Maturity Model provides an evidence-based framework for measuring AI capability across technology, data, governance, people, and strategy. It gives organisations a consistent way to benchmark current maturity, identify where the gaps are, and build a structured path toward measurable, governed AI adoption.
Why Maturity Matters
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78% of organisations use AI — yet 74% show no tangible value
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Gartner predicts 30% of GenAI projects abandoned after PoC
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The gap between adoption and value is a maturity problem
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Structured progression delivers 3–5x better ROI than ad-hoc adoption
01
AI Agnostic
Operating as if AI does not yet exist. Legacy systems, manual processes, no AI strategy or awareness at leadership level.
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No AI strategy
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Legacy-dependent operations
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Manual processes dominate
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No governance framework
02
AI Aware
Recognition that AI is relevant. Initial exploration, some pilots, but no coordinated strategy or operating model.
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Ad-hoc experimentation
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Individual department pilots
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No central coordination
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Basic awareness training
03
AI Curious
Active experimentation with multiple tools and pilots. Growing investment but fragmented adoption without an operating model.
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Multiple AI pilots running
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Growing budget allocation
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Fragmented tool landscape
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Emerging governance needs
04
AI Native
AI embedded into services, staff workflows, and operations. Governed, measured, and scalable across the organisation.
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Unified AI platform
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Embedded governance
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Measurable value delivery
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Organisation-wide adoption
05
AI Transcendent
AI pervasive across the organisation and ecosystem. Continuous optimisation, evolution, and value creation at every level.
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AI-first operations
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Ecosystem integration
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Continuous evolution
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Maximum value realisation
The Five Maturity Levels
Each level represents a distinct stage of AI capability, governance, and value delivery.
Key Dimensions Assessed
The model evaluates maturity across six interconnected dimensions that together determine AI readiness and capability.
Technology & Infrastructure
AI platforms, integration architecture, and technical readiness
Data & Knowledge
Data quality, knowledge management, and information governance
Governance & Compliance
AI governance frameworks, risk management, and regulatory alignment
People & Culture
AI literacy, change readiness, and organisational capability
Strategy & Leadership
AI vision, executive sponsorship, and strategic integration
Value & Outcomes
Measurement frameworks, ROI tracking, and value realisation
Objective benchmark of your current AI capability
Clear progression pathway with defined milestones
Evidence-based investment prioritisation
Peer benchmarking against similar organisations
Board-ready reporting and visualisation
Alignment between technology, governance, and strategy
Benefits of the Maturity Model