AI Readiness Assessment
Before investing in AI, you need to know where you stand. Our AI Readiness Assessment evaluates your organisation across 6 critical dimensions — data, technology, capability, strategy, governance, and ecosystem — giving you a clear picture of what's ready and what needs work.
Why AI Readiness Matters
Most AI projects fail not because of the technology, but because the organisation wasn't ready. Data quality issues, skill gaps, unclear objectives, and governance blind spots derail more AI initiatives than technical limitations ever do.
An AI readiness assessment gives you an honest baseline. It identifies strengths you can build on and gaps you need to address before investing in AI capabilities. This prevents the most expensive mistake in AI adoption: building solutions on shaky foundations.
The 6 Dimensions of AI Readiness
1. Data Foundation
Data quality, accessibility, governance, integration, and volume. AI is only as good as the data it learns from. We assess whether your data is accurate, accessible, well-governed, properly integrated, and sufficient in volume.
2. Technology Infrastructure
Cloud maturity, API architecture, compute capacity, security posture, and MLOps capability. Can your technology stack support AI workloads? We evaluate the technical foundations.
3. Organisational Capability
AI literacy, talent pipeline, change management readiness, cross-functional collaboration, and executive sponsorship. People are the most underestimated factor in AI success.
4. Strategic Clarity
Use case identification, prioritisation framework, success metrics, budget allocation, and realistic timelines. Without strategic clarity, AI investments become expensive experiments.
5. Governance & Ethics
AI policy, bias monitoring, transparency standards, regulatory compliance, and accountability structures. Governance isn't optional — it's the foundation of sustainable AI deployment.
6. Vendor & Partner Ecosystem
Evaluation criteria, build-vs-buy analysis, integration standards, contract structures, and exit strategies. Your AI ecosystem determines your long-term flexibility and risk.
How to Use the Assessment
Download the scorecard, gather your team (ideally representatives from technology, operations, and strategy), and work through the 30 questions together. Be honest — the value is in the accuracy, not the score. Once complete, use the scoring bands and recommendations to prioritise your next steps.
If you'd like expert guidance interpreting your results or building a roadmap from them, book a discovery call with our team.
Download the AI Readiness Scorecard
Self-assessment framework covering 6 dimensions, 30 questions, with interpretive scoring bands. The same tool we use with clients.
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Frequently Asked Questions
What does the AI Readiness Scorecard cover?
The scorecard assesses 6 dimensions: Data Foundation, Technology Infrastructure, Organisational Capability, Strategic Clarity, Governance & Ethics, and Vendor & Partner Ecosystem. Each dimension has 5 questions scored 1-5, giving a total score out of 150.
How long does the self-assessment take?
Most teams complete the scorecard in 30-45 minutes. We recommend involving 2-3 people from different functions (technology, operations, strategy) for a more rounded assessment.
What do the scoring bands mean?
Scores are grouped into four bands: Early Stage (0-50), Developing (51-90), Advanced (91-120), and AI-Ready (121-150). Each band includes specific recommendations for next steps.
Can you help us after we complete the assessment?
Yes. Many organisations use the scorecard to identify gaps, then engage us for an AI Strategy consultation to build a prioritised roadmap. Book a discovery call to discuss your results.
Is this the same framework you use with paying clients?
Yes. The scorecard is the self-service version of the assessment we conduct during our AI Strategy engagements. The paid version includes expert facilitation, deeper analysis, and tailored recommendations.
