What is an AI readiness assessment and how is it different from an AI maturity model?

AI readiness is whether you are set up to adopt AI safely and get value from it: ownership, data, skills and governance. AI maturity is how far along that journey you already are. This assessment gives you a readiness verdict and names the specific failure mode most likely to waste your spend, rather than a vague maturity score.

Do we need an AI strategy before adopting AI?

You need ownership and a clear first problem more than a long strategy document. Most failed AI adoption is not a strategy gap, it is un-owned pilots, shadow AI and data that was never ready. This check finds which of those is your real blocker, so any AI strategy you write starts from the truth.

How do you measure AI readiness?

This assessment uses eight questions across ownership, data, governance and delivery to predict where your AI investment is most likely to leak value. Instead of scoring you on a maturity ladder, it names the dominant failure mode, un-owned AI, shadow AI, data not ready, or perpetual pilot, and tells you what to fix first.

What is an AI readiness assessment?

An AI readiness assessment tests whether the conditions for successful AI adoption are in place before money is spent: ownership, data quality, usage visibility, and a disciplined approach to use cases. This one predicts which failure mode your business is heading for, not where you sit on a maturity ladder.

What is an AI governance assessment, and why does my organisation need one?

AI governance is how an organisation makes sure its use of AI is responsible, lawful, accountable and safe: the policies, roles, risk processes and oversight that sit around the technology. You need it because AI is already in your tools, suppliers and decisions, often before anyone wrote a rule. Without governance you cannot show a board, a regulator or a customer that the AI you rely on is under control.

What is ISO 42001 and do we have to comply with it?

ISO/IEC 42001:2023 is the world’s first international standard for an AI management system, published in December 2023. It sets out how to establish, run and improve responsible AI governance, using the same clause structure (4 to 10) as ISO 27001, so boards familiar with information-security certification will recognise the shape. It is voluntary, not a law. Organisations pursue it as a credible, certifiable benchmark and an increasingly common procurement requirement, much as they did with ISO 27001 for security.