Guide: AI Usage Rules Starter
AI Usage Rules Starter - Before spending AI credits: Name allowed tasks; Set data boundaries; Define review rules; Give role examples; Create an escalation path
AI Usage Rules Starter
A simple starter guide for turning AI enthusiasm into rules people can actually use at work.
Do not ask people to use AI responsibly and then leave them to invent the rules alone.
What this guide helps with
This guide helps teams create basic AI usage rules before adoption becomes a guessing game. It is for managers, HR, legal, operations, IT adoption teams and anyone rolling out AI tools to people who still have actual jobs to do.
Why now
AI tools are being rolled out faster than many organisations can explain them. A light rule set helps people understand what is allowed, what needs review and what should stay human-owned before habits become messy.
The pattern
The pattern is that vague permission creates uneven behaviour. Some people avoid AI completely, some use it quietly, and some paste everything into the nearest box. Good usage rules reduce fear and improvisation at the same time.
The check
Write down the real tasks people want AI to help with: drafting emails, summarising meetings, reviewing documents, creating images, checking code or analysing data. Rules make more sense when tied to work. “Use AI responsibly” is too vague. “You may use AI to draft internal meeting notes, but not paste personal employee data” is usable.
Separate work into green, amber and red zones. Green means allowed with normal care. Amber means allowed with human review or approved data. Red means do not use AI for this task. For example, drafting a generic agenda may be green, while uploading confidential client contracts may be red.
People need examples of what not to paste. List categories like personal data, customer names, salary information, strategy documents, source code, legal drafts and regulated data. If a rule needs a law degree to understand, it will not survive daily work. Use plain examples.
Say when a human must check the output before it leaves the team. For example, anything going to a customer, employee, regulator, supplier or public audience may need human review. This prevents people from assuming that polished AI text is automatically ready.
A finance analyst, HR coordinator, engineer, marketing manager and operations lead do not need the same examples. Role-based rules make literacy practical. Each role should know what AI can help with, what it must not touch and what still needs human judgement.
People need somewhere to go when they are unsure. Name the person, mailbox or channel that answers AI usage questions. If there is no route for uncertainty, people will either avoid the tool or invent their own interpretation.
The first version will miss things. After a month, collect the confusing cases: rejected outputs, risky prompts, unclear data boundaries and tasks people avoided. Update the rules based on actual work, not imagined best practice.
Quick examples
| Situation | Better question |
|---|---|
| A team wants AI to draft client emails | Can it draft, and who checks before it leaves the company? |
| HR wants to summarise employee feedback | What personal or sensitive data must be removed first? |
| Marketing wants AI images for social media | What labelling, copyright or brand review is required? |
| Engineering wants AI to review code | Can code be pasted into the tool, and what repository or security rules apply? |
The Satire
A rule that says “be responsible” is not a rule. It is a scented candle for governance.
Related Vieews paths
Chaos scenes spot the contradiction. Signals name it. Guides give you the next simple move.
Chaos
The Blue Blob and the Open Wallet
The discovery scene that started this thread.
Signal
The Money Arrived Before The Instructions
The pattern behind this guide.
Playbook
Enterprise AI Rollout Control Kit
Use the heavier structure when needed.
Useful context
Use this starter when the budget, licences or tool access arrived before clear usage instructions. Keep it light, practical and role-specific.
These are Vieews, not bibles. Use them as simple lenses, not legal advice, investment advice, HR advice or a replacement for doing your own investigation. If a line makes the spreadsheet uncomfortable, excellent. Ask one more question and tug on that thread.
