The AI Readiness Assessment
A structured, seven-dimension scorecard that tells you exactly where you stand, before you commit to a hire, a platform, or a strategy. Board-ready output, not a generic checklist.
What actually gets scored
Most "AI readiness" checklists measure enthusiasm. This measures the seven things that actually determine whether an AI investment survives past pilot.
Strategy, Sponsorship & Value Case
Who owns the AI agenda, whether there is a documented strategy behind it, and whether success was defined before the last pilot started.
Use Case & Process Suitability
Whether the processes you are pointing AI at are stable and well enough understood to automate, or still being argued about.
Data Quality
Whether the data behind the use case is accurate, complete and current enough to trust a decision built on top of it.
Data Architecture & Structure
Whether that data can actually be reached and joined, or whether every initiative starts with an integration project nobody budgeted for.
Application & Technology Architecture
Whether your platforms can carry AI workloads and expose what a model needs, without a parallel estate being built alongside them.
Delivery Capability
Whether there is a team that can take a use case from pilot into production, and keep it running once the attention moves on.
AI Governance & Risk
EU AI Act exposure, board oversight, and whether anyone could answer an auditor's question about a model decision today.
Scored 0–100 per dimension
Each dimension is scored against a documented rubric, with the evidence behind every score captured, not just the number.
Three steps, one board-ready output
Structured Workshop
A half-day, facilitated session across operations, data, talent and governance stakeholders, not a survey link nobody reads properly.
Scoring & Evidence
Each dimension is scored against a documented rubric, with the evidence behind every score captured, not just the number.
Board-Ready Report
A scorecard, an opportunity map prioritised by real ROI potential, and an EU AI Act applicability view, built to be presented rather than decoded.
Where most organisations actually sit
The assessment places you on a four-stage maturity ladder, and most organisations discover they are a stage behind where their AI spend suggests they should be.
| Stage | What It Looks Like |
|---|---|
| Exploring 22–43 | You're earlier than you think, and most businesses are. The ones that skip this stage are usually the ones that end up in the failure statistics. |
| Emerging 44–65 | You've got the beginnings of a case, with some real gaps underneath it. |
| Developing 66–94 | The foundations are largely there. What you need now is a costed, sequenced plan. |
| Ready to Scale 95–110 | You have the foundations most businesses spend a year building. |
Out of a possible 110, across 22 questions.
The assessment is a diagnosis, not a sales pitch
If the honest answer is "you're not ready for this yet, fix these three things first", that's what you'll hear. If the roadmap points to a Fractional CAIO, that's a conversation for after you've seen your own scorecard, not before.
See where you actually stand
Structured, evidence-based, and yours to keep, whatever it shows.