Leadership read

Where does your organisation stand with AI?

Five minutes to a clear read, and the one move that unlocks the most.

~5 minutes4 short sectionsResult sent to your work email

No right or wrong answers. Answer for your organisation as a whole, from what you actually see.

Section 1 of 4

Where AI lands today

Question 1

Where is AI actually delivering value in your organisation today?

Not yet: nothing meaningful in production A few individuals experiment Some teams use it in real work Several departments, with results Embedded across the business

Question 2

When AI saves your people time, what happens to that time?

The honest answer, not the intended one

Same work, just faster People take on more; the pressure is unchanged Some capacity frees up, but nobody tracks it We have redesigned work to use the time gained We measure and report the gains AI delivers

Question 3

What happens to your AI pilots and initiatives?

We do not really run any They start, then stall A few reach production Most reach production We scale reliably from pilot to production

Section 2 of 4

Direction & leadership

Question 4

Is there a clear AI strategy, and does someone own it?

No strategy, and no one owns it An ambition, but no owner or plan A strategy exists but is not landing Owned and actively executed Executed, measured and adjusted

Question 5

How are your leaders using AI themselves?

Adoption follows what leadership does, not what it says

Leaders do not really use AI They talk about it, but do not use it A few leaders lead by example Most leaders use it themselves Leaders use it and actively coach their teams

Question 6

Do your people have a safe, approved way to use AI on company data?

No, people improvise on their own Being figured out; the rules are unclear Approved tools, but unclear rules A clear, approved, safe path exists Governed, monitored and trusted

Section 3 of 4

Foundations

Question 7

Can your teams get to the data AI needs, without manual work?

Scattered; a lot of manual work Some data is accessible Mixed: it depends on the system Mostly accessible and connected Structured and connected across the org

Question 8

How capable is your workforce with AI, beyond the basics?

Most have not really started A curious few Basic prompting is common Confident daily users across teams People build their own workflows and agents

Section 4 of 4

About your organisation

Question 9

What is holding your AI transformation back most?

Select all that apply

No clear strategy or owner Skills & capability gap Governance, risk & compliance Data & tooling Culture & adoption Unclear or unproven ROI

Your role

Where do you sit?

About your data

How often do your teams work with confidential or sensitive information?

Almost there

Your result is ready

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