AI Readiness Assessment

Where your organisation actually stands before you build anything

Most AI readiness surveys measure enthusiasm: how many pilots you've run, how many tools you've bought, how excited leadership sounds in a town hall. None of that predicts whether an AI system will actually survive contact with your organisation.

This assessment measures something narrower and more useful: whether the five layers an AI-Human System depends on — strategic direction, decision architecture, human capability, operating system, and technology — are actually in place, or whether the technology layer is about to be built on top of four layers that were never architected. Seven questions, two minutes, one honest score.

Our senior leadership has explicitly agreed on which decisions an AI system is allowed to make on its own, and which always require a person.

Every decision an AI system influences has one clearly named owner — not a committee.

The data an AI system would need for an important decision is already accurate, accessible, and not scattered across systems that don't talk to each other.

Our workflows have been redesigned around what the AI system actually does, not just had the AI system added on top of the old process.

The people who will work alongside our AI systems have both the training and the standing to question or override its output.

We have a defined process for reviewing and adjusting an AI system after launch, not only before it.

I can name, today, at least one important decision where a person and an AI system collaborate in a structured way — not just one where the AI suggests and someone clicks approve.

Please answer all 7 questions to continue.