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Where are
you with AI?

Seven questions. No jargon. Five minutes. A clear picture of where you stand and what to do next.

bouch.dev · AI readiness audit
Your answers
Name Role Decision maker view
Q1 Current state
How would you describe your team's current use of AI tools?
Think about what's actually happening day-to-day, not what's been announced or planned.
Not started
Experimenting individually
Used in some workflows
Regular team use
Central to how we operate
Q2 What's working
Where has AI genuinely saved you time or made your work better?
Be specific if you can. Even small wins count. If nothing yet, say so.
Q3 Friction points
Where does AI fall short, or where have you stopped trying to use it?
What breaks the workflow? What produces results you can't trust or use?
Output accuracy
Doesn't know our context
Wrong tools available
Takes longer than expected
Hard to verify results
Don't know how to prompt
No clear policy / guidance
Q4 Biggest drain
What task or process consumes the most time in your week that feels like it shouldn't?
This is where AI usually creates the most value. Be honest, even if it seems trivial.
Q5 Constraint map
Which of these best describes where AI could help most in your work right now?
Select all that feel true.
C1 Context: always re-explaining things from scratch
C2 Control: hard to review or trust what AI produces
C3 Confidence: unsure how or when to use AI
C4 Coordination: team not aligned on AI approach
C5 Capacity: not enough time to even try new tools
Q6 Ambition
If AI worked perfectly for you, what would look different in six months?
Don't filter this. The gap between this answer and Q1 is where the opportunity lives.
Q7 Readiness
On a scale of 1 to 10, how ready do you feel to adopt AI more seriously in your role?
1 = not at all ready, 10 = ready to go right now.
Not readyReady now
B1 Strategic
What would need to be true for AI to be worth a serious investment in this organisation?
Budget, proof point, board alignment, risk comfort. What's the real unlock?
B2 Risk
What's your biggest concern about AI adoption?
Data security
Output accuracy
Impact on team roles
Cost and ROI
Vendor lock-in
Brand / reputational risk
Regulatory compliance
B3 Mandate
What does success look like from your seat, and who else needs to agree?
Audit summary

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