Most AI initiatives do not fail on the technology. They fail on data nobody trusts, decisions nobody can make, teams nobody prepared, and change nobody managed. This assessment scores all four — and shows you which one is holding the others back.
The models are commodity. What separates organizations that scale AI from those stuck in permanent pilot is whether the surrounding conditions hold. These four dimensions are where that gets decided — and each maps onto a pillar of the AMIGA framework, so a weak score tells you exactly where the remediation work sits.
Whether your data can carry an AI workload at all — trust, ownership, integration across systems, and whether anything is genuinely structured for model training. This is the dimension that most often turns a promising pilot into an unrepeatable one.
How quickly decisions actually get made, and whether authority is documented or contested. Governance is usually framed as a brake; the point of measuring it here is that clarity is what lets an AI programme move at the speed the technology changes.
Whether people can experiment without being punished for it, how leadership behaves under uncertainty, and whether employees read AI as a threat or a teammate. Adoption is decided here long before a system goes live.
Your organization’s ability to land change — training, communication, change networks, and the credibility your track record buys you. AI transformation is an organizational change programme that happens to involve technology.
Answer as your organization actually operates today, not as the target state. An inflated score tells you nothing you can act on.
AI is only as good as the data it learns from. This dimension assesses the state of your data foundation — trust, ownership, integration, and whether any of it is actually fit for model training.
0 of 5 answered — answer all to continue.
Every question scores 1 to 5, for a maximum of 100 points. Each dimension is also scored on its own out of 25. A strong overall score with one weak dimension is a more fragile position than an even middling one — the lagging dimension sets the ceiling for everything else, because AI programmes fail at their weakest joint rather than their average.
A score for each of the four dimensions, an overall readiness rating, and a written improvement roadmap. The result is not a badge — it is a read on which dimension is currently load-bearing for your AI programme, and what the next move is from where you actually stand. Senior leaders also qualify for the Enterprise Transformation Readiness Assessment — a 45-question deep dive into delivery maturity.
Data, Governance, Culture, and Change Capability each scored on their own, so you can see which one is setting the ceiling rather than averaging it away.
Transformation-ready, Building, or Foundational — and what that band actually implies for sequencing your next move.
Per dimension: the symptoms that come with your score, the obstacles that typically block progress from there, and the actions worth taking first.
The full breakdown as a document you can forward to a sponsor or bring to a steering committee, rather than a screen you have to screenshot.
A 45-question maturity deep-dive across portfolio, program, and implementation delivery — scored against five maturity levels. Where this assessment reads your AI foundations in five minutes, that one reads your delivery machine in depth — portfolio governance, programme execution, and implementation, scored against five maturity levels.
Take the assessment