Most enterprise AI programmes fail not because the technology is wrong but because the organisation could not absorb it. Data was unfit, no one owned the outcome, the workflow was misunderstood, the front line never adopted what shipped. A readiness assessment is the honest baseline that prevents this. It asks, before any strategy or pilot, whether the foundations exist: leadership intent, a workable data estate, the skills to build and run, the governance to do it safely, and the operating model to keep it alive. Treat it as the first conversation with any serious AI initiative — the diagnosis that earns the right to prescribe.

Byte: the profile beats the score

A headline maturity score is a soundbite. The useful artefact is the per-dimension profile — the shape. A company strong on leadership and weak on data needs a very different first move from one with great data and no sponsor. Read the shape, then act.

1. 1.What is the main purpose of a readiness assessment?

   To pick the best model for the companyTo gauge whether the organisation can absorb AI before committingTo replace the need for a strategyTo benchmark against competitors' spend

2. 2.Why is the per-dimension profile more useful than the headline band?

   It produces a higher scoreIt hides organisational weaknessesIt tells you where to act firstIt is required by regulators