Most organisations are investing in AI. Far fewer are realising measurable business value from those investments.
Unlike assessments focused primarily on technology adoption or AI readiness, it examines the broader organisational system, including strategy, governance, operating model, technology and data, workforce, leadership and measurement, that determines whether AI delivers sustainable performance.
In 5–7 minutes, you’ll receive:
- Your overall AI Value Realisation maturity score
- Scores across the key organisational capabilities influencing AI value
- A clear view of strengths, capability gaps and areas requiring leadership attention
The diagnostic is evidence-informed and draws on recognised AI governance principles, including concepts reflected in ISO/IEC 42001.
Diagnostic Scoring Categories
Customer & Stakeholder Insights
Assess your capability to generate, interpret, and act on customer and stakeholder insights for AI-driven value.
Strategy, Operating Model & Value Chain
Examine the alignment of AI initiatives with your organisational strategy, operating model, and end-to-end value chain.
Governance, Risk & Guardrails
Evaluate governance structures, risk management, and the effectiveness of guardrails in your AI agenda.
Technology, Data & AI Enablement
Understand the readiness and integration of your technology, data, and AI enablement foundations.
Workforce, Capability & Job Architecture
Review the depth of workforce capability, job design, and skills architecture supporting AI realisation.
Leadership, Change & Communication
Measure leadership engagement, change management, and communication practices in advancing AI value.
Measurement, ROI & Value Realisation
Analyse the rigour of measurement, return on investment, and mechanisms for demonstrating value realisation.
Overall Value Realisation
View an integrated summary of your organisation’s overall maturity in realising sustained value from AI.