Find out where you stand

1. On a typical working day, how central is AI to how you get things done?

   • It isn't. I don't use AI tools in my day-to-day work
   • It comes up occasionally but it's not part of my routine
   • I use it regularly for specific tasks and it saves me real time
   • It's woven into most of what I do. I'd notice if it was gone
   • My output and the quality of my work has changed because of it. I work differently now

2. How would you describe individual AI fluency across your organisation?

   • Most people haven't really started. Awareness is there but usage isn't
   • A handful of people use it well. The rest are watching
   • More people are building real skill, not just trying things once
   • Most people have real fluency and are building on each other's work
   • People who aren't using AI stand out. It's become a standard expectation

3. How well does AI know your organisation, your voice, your clients, your way of doing things?

   • It doesn't. Everything we get back sounds generic, like it could have come from anyone
   • A few people have given it some context in their own setups but nothing is shared
   • We have some shared resources, a knowledge base, brand guidelines, or prompt library others can use
   • AI is connected to our data and voice. What it produces sounds like us
   • AI knows our business well enough that a client couldn't tell the difference between something we wrote and something it produced

4. When someone figures out a better way to use AI, what happens to that knowledge?

   • It stays with them
   • They might mention it to colleagues but there's no real system
   • We have informal ways of sharing, a Slack channel, team meetings, word of mouth
   • We have a deliberate process for capturing and sharing what works
   • Good outputs feed back into our shared systems and improve what everyone has access to

5. What's the most accurate description of how AI agents and workflows are operating in your organisation right now?

   • Nothing automated yet. Someone opens a tool, asks it something, gets a result. That's it
   • Simple automations, a human triggers them, they do one thing, they stop
   • Multi-step workflows exist. AI handles a sequence of tasks but a person kicks it off and checks the output
   • Agents are running with real autonomy. They handle exceptions, make decisions, operate without someone watching every step
   • Supervisor agents coordinate other agents. They function closer to a staff member than a tool, ongoing, accountable, with a defined role

6. How clearly has your organisation defined what AI should own versus what stays with people?

   • We haven't had that conversation
   • There's an informal sense of it but nothing decided or written down
   • We've made deliberate decisions for specific use cases
   • We have documented guidelines that inform these decisions consistently
   • The division of responsibility is clear, reviewed regularly, and people understand it

7. How much do you trust AI to act on your behalf without checking in at every step?

   • We don't. Everything goes through a human before any action is taken
   • In very limited, low-stakes situations only
   • For well-defined tasks where the boundaries are clear and we're watching outcomes
   • Across several workflow types where it has earned that trust through consistent performance
   • AI operates with significant autonomy. Humans set direction and review results, not individual steps

8. How mature is your organisation's approach to AI failure and course correction?

   • We don't have one. Problems get dealt with as they come up
   • There's informal awareness but nothing documented
   • We've defined what to do when specific things go wrong
   • We have a documented process. When something fails, it feeds into making the system better
   • Failure response is systematic. We treat poor outcomes as data, not just problems to fix

9. How would you describe your organisation's current approach to AI governance?

   • There isn't one. People make their own decisions about what to use and how
   • Some informal norms exist but nothing is written down or consistently followed
   • We have basic policies, approved tools, data handling guidelines, clear ownership
   • Policies are documented, communicated, and maintained. People know what they are
   • Governance is part of how AI work gets done. Not a checklist, embedded in practice

10. How confident are you in how your organisation handles data in AI tools and workflows?

    • Not confident. We haven't thought carefully about it
    • Somewhat aware but no real controls in place
    • We have guidelines and people generally follow them
    • Clear rules, people know them, and there's some oversight of compliance
    • Regular audits, clear accountability, and people understand exactly what they can and can't do

The quiz scores you across five dimensions: Individual Fluency, Team Intelligence, Workflow Integration, Operational Trust, and Governance & Security. See the AI Adoption Path guide for the full framework.