Knowledge Tree
and Butterfly
More thinking, less grinding

Does your AI policy help or block?

Self-assessment · eight questions · two minutes

Most AI policies were written for a chat window. An agent that works in your files, runs code and leaves a history is a different thing, and many policies have not met it yet. It is just early.

Eight questions place your organisation's rules on a ladder, from no rules at all to rules that say yes, carefully. Answer for the rules as they are, not as you would like them. This is not legal or compliance advice: whoever owns your policy has the last word.

Rung 1UnchartedNo written rules, or a no that nobody can explain.
Rung 2Chatbot-eraRules written for a chat window, silent on agents.
Rung 3WorkableNamed tools and tiered data. Careful work is possible.
Rung 4Pilot-readyTools, data tiers, an audit trail and a route for pilots.
  1. Q1Is there a written AI policy where you work?
  2. Q2Does it treat a chatbot and an agent differently?
  3. Q3What data could you use with an AI tool today?
  4. Q4Are approved tools named?
  5. Q5You want to try something the policy doesn't cover. What happens?
  6. Q6If an agent did some work, could someone review it afterwards?
  7. Q7Who signs off outputs that AI helped produce?
  8. Q8Does your policy say what good use looks like?

Your result

Answer the 8 questions

The button opens an email to us, copied to Rabbie, our robot, who keeps the diary. Your result travels in it so we can prepare. You can change or delete it before you send, and nothing leaves your browser until you do. Whatever you choose from the ways to work with us, the first call asks what you're allowed to use, and the work is designed within that. What an agent does that a chatbot doesn't is in Chatbots talk. Do-bots work.

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