Part 1 — What you know
No wrong answers here. This just tells us how much translation the conversation needs.
What AI can realistically doHow would your leadership team describe what AI can actually do for a business like yours?
Answering vs. doingDo you know the difference between AI that answers questions and AI that goes and does work on its own?
How it goes wrongDo you know the ways AI typically gets things wrong?
The role of your own dataHow much does your team understand about the role your own information plays in making AI useful?
Where the value isCould your team name a specific job in your business AI should do — and say why it's worth money?
Who understands itWho in your organization actually understands AI?
Part 2 — What you're doing
What's actually happening with AI in the business today.
Current useHow is AI used in your business today?
Visibility and rulesDo you know which AI tools your employees are using, and do you have any rules about it?
Did anything actually changeHas AI changed how any real work actually gets done?
Measuring valueDo you know whether AI has saved you or made you anything?
OwnershipWho is responsible for AI in your business?
Could you hand work overIf you wanted AI to take over a process tomorrow, could you show it how the work is done?
Part 3 — The work you can't cover
The most important part: work that isn't getting done, whoever's fault that isn't.
Too much to coverIs there important work your team can't keep up with simply because there's too much of it?
The hire you can't makeIs there work you'd hire for if you could find — or afford — the right person?
Work that can't stopIs there work that's only really valuable if it happens continuously — nights, weekends, without stopping?