Diagnostic

AI Team Readiness

Can your team run AI and keep it — not just buy it?

Most AI programmes fail in the same place. Not at tool selection and not at enthusiasm. They fail because nobody agreed what good looks like before the licences were bought, and because the processes the tools were meant to accelerate had never been written down.

An agent will execute an undocumented process quite happily. It improvises one, at speed, and the output looks exactly like what you wanted, so nobody notices for six weeks.

This assessment asks the questions I ask before an AI enablement engagement — about whether your processes are documented, whether leadership has agreed a measure, whether your data can stay where it needs to, and whether the capability will stay in-house after I leave.

What you get

Your readiness score across four dimensions, on screen immediately
Which dimension is holding you back, and why that one matters most
A written assessment from me, if you want one

What it measures

Process documentation: Your core processes are written down well enough that someone who wasn't in the room could reconstruct them — the prerequisite for automating anything safely.
Measures: Leadership has agreed what good looks like before the tools were bought, and there is a number that would tell you whether any of it has moved the organisation.
Data access and sovereignty: Your AI tools can reach the data they need, and where that data must not leave your infrastructure — athlete data, minor data, safeguarding records — there is a plan for that.
In-house ownership: There is a team that will maintain what is built after support is withdrawn, and the people who actually do the work are in the room when the processes are rebuilt.

8 questions, scored out of 24. Your result appears on screen as soon as you finish — no email required to see it.

Question 1 of 8Process documentation

Can someone who wasn't in the room reconstruct how a core process runs, from what your team has written down?

Not the strategy document — the actual steps, including the judgement calls.

What it measures

Process documentation

Your core processes are written down well enough that someone who wasn't in the room could reconstruct them — the prerequisite for automating anything safely.

Measures

Leadership has agreed what good looks like before the tools were bought, and there is a number that would tell you whether any of it has moved the organisation.

Data access and sovereignty

Your AI tools can reach the data they need, and where that data must not leave your infrastructure — athlete data, minor data, safeguarding records — there is a plan for that.

In-house ownership

There is a team that will maintain what is built after support is withdrawn, and the people who actually do the work are in the room when the processes are rebuilt.

8 questions, scored out of 24. Your result appears on screen as soon as you finish — no email required to see it.

Can someone who wasn't in the room reconstruct how a core process runs, from what your team has written down?

Not the strategy document — the actual steps, including the judgement calls.