The AI readiness checklist: 18 questions UK business leaders should be able to answer

The AI readiness checklist

If you want a straight answer on whether your organisation is ready to get a return from AI, work through the questions below. This AI readiness checklist is built around the six dimensions aibl uses to assess UK businesses: governance, ownership, alignment, investment reason, workforce capability, and shadow AI control. Answer each one honestly with a yes or a no. Where you cannot give a clear yes, you have found the work that stands between you and a measurable return.

Most UK businesses we speak to are in one of three situations. AI has started but nothing is yet in production. There is a policy on paper that is not consistently applied. Or there is a funded AI owner, a Director of AI or similar, who has budget and a mandate but no team underneath them to actually deliver. If any of those sounds like you, this checklist will show you where the gaps sit.

You can treat this as a checklist template you copy into your own notes, or you can get the scored version. To see how you compare with other UK organisations and get a personalised report, take the free assessment.

Why readiness decides your return, not the technology

The tools are not the hard part. What separates the organisations getting value from AI from the ones spending money without it is whether the conditions around the technology are in place. Readiness is the sum of those conditions. When governance, ownership, alignment, funding logic, skills, and control of unofficial tools are all present, projects reach production and pay back. When one or more is missing, pilots stall, budget leaks, and risk builds up quietly.

The six dimensions below each map to a common reason AI spend fails to convert into a return. Work through them in order.

The six dimensions

Governance

Governance is the set of rules that decide what AI your organisation may use, on what data, and who signs off. Without it, you cannot scale anything safely, and legal or security concerns will block projects late and expensively.

Ask yourself:

• Do we have a written AI policy that names which tools are approved and which are not?
• Is that policy actually applied in day to day work, rather than sitting in a document nobody opens?
• Do we know which of our data can and cannot be put into an AI tool?

A policy that exists but is not consistently applied is one of the three situations we see most often. On paper you are covered. In practice, staff make their own calls, and the policy gives you a false sense of safety.

Ownership

Ownership is about whether one accountable person is responsible for AI delivering a result. Shared responsibility across a committee usually means no responsibility at all.

Ask yourself:

• Is there a single named person accountable for the return we get from AI?
• Does that person have both a budget and a clear mandate?
• Do they have the people or delivery capacity to turn that mandate into shipped work?

This is where funded AI owners get stuck. A Director of AI with budget and a mandate but no team underneath them cannot deliver alone. Recognising that gap early is what lets you fill it, whether through hiring, reprioritising internal capacity, or bringing in delivery support.

Alignment

Alignment means your AI work is tied to business priorities the leadership team already cares about. Projects that sit to one side of the strategy get defunded the moment budgets tighten.

Ask yourself:

• Can we name the specific business outcomes our AI work is meant to improve?
• Would our senior leadership recognise our AI priorities as their priorities?
• Have we agreed how we will measure whether AI has moved those outcomes?

Investment reason

This dimension checks whether you are spending for a defined reason. Investing because competitors are, or because AI is in the headlines, tends to produce activity without a return.

Ask yourself:

• Can we state the reason we are investing in AI in one plain sentence?
• Have we set a target return, in time saved, cost reduced, or revenue gained?
• Do we have a way to tell, later, whether the investment paid back?

If your reason for investing is that everyone else is, you have no benchmark for success and no basis for stopping work that is not paying off.

Workforce capability

Capability is whether your people can actually use AI well in their roles. Buying licences does not create capability, and unused tools are pure cost.

Ask yourself:

• Have the people expected to use AI been trained to use it in their real work?
• Do teams know which tasks AI should and should not be used for?
• Is there a route for staff to ask questions and share what works?

Shadow AI control

Shadow AI is the use of tools your organisation has not approved, often on work data, without oversight. It is common, and it is where much of the risk and hidden value currently sits.

Ask yourself:

• Do we know which AI tools our staff are already using, whether approved or not?
• Have we given people a sanctioned tool good enough that they do not need to go around it?
• Do we have a way to bring useful unofficial uses into the open rather than only banning them?

Controlling shadow AI is not only about risk. The tools your people reach for without being told are a signal of where AI genuinely helps, if you are willing to look.

What your answers tell you

Count your clear yes answers across all six dimensions. A run of no answers concentrated in one dimension is easier to fix than the same number spread across all six, because it points to a single piece of work. If your gaps cluster in governance and shadow AI control, your first job is control before scale. If they cluster in ownership and capability, you have a delivery problem, not a policy one.

A checklist gives you the shape of the problem. It does not tell you how you compare with other UK organisations, or which gap to close first for the biggest return. That is what the aibl benchmark does.

Score yourself and get your report

The free aibl benchmark turns this checklist into a score. You answer a short AI readiness questionnaire, and you get a personalised report showing where you stand across all six dimensions and how you compare with your peers. It is the fastest way to move from a rough self assessment to a clear, prioritised plan.

Benchmark your AI ROI and get your personalised report.

If you want to go deeper on the thinking behind the six dimensions before you start, our guide to running an AI readiness assessment is a useful next read. The dimensions themselves are informed by the State of UK AI Adoption Survey 2026, 755 UK business leaders, run in partnership with Executive Summary, which you can explore in our research.