What Belongs in a Small Team's AI Use Policy
Not a compliance document nobody reads. Six things a two-page policy needs so people can actually follow it.
Jatinder Palaha · 3 min read · 16 August 2026
Most AI policies fail the same way: they are written to protect the organisation legally, in language nobody reads, and then everyone carries on as before.
A policy people follow is short, specific, and written for the person doing the work.
1. What AI is encouraged for
Start with permission, not prohibition. A policy that only says "do not" reads as disapproval, and people respond by not asking.
Name the things you actively want people using it for, with examples from your own work: drafting first versions, summarising long documents, rewriting for clarity, generating options, explaining unfamiliar material.
2. What must never go in
This is the part that matters, and it must be concrete. "Do not share confidential information" means nothing — everyone thinks their use is the exception.
Name the categories and give examples:
- Client personal data — names, addresses, anything identifying
- Anything under NDA
- Health, financial or legal records
- Passwords, keys, credentials
- Unreleased commercial information
If you have a paid tier with contractual guarantees about training and retention, say which tool that is and that it is the one to use for anything sensitive. People need to know where the safe door is.
3. When a human must check
Be specific about the trigger, not the intent. "Use your judgement" is not a rule.
Anything that goes to a client. Anything with numbers in it. Anything that makes a claim about the law, health, or safety. Anything that will be published.
4. What you tell clients
Decide it, write it down, and be consistent. If a client asks whether you use AI, everyone should give the same answer — and it is much better to have chosen that answer in advance than to improvise it under pressure.
5. Who to ask when unsure
Name a person. Not a department, not an inbox — a person, and a promise that asking is welcome. Most breaches are not defiance; they are someone guessing because asking felt like an imposition.
6. How to raise a mistake
The most important clause, and the one usually missing.
Say explicitly: if you spot that AI produced something wrong and it went out, say so immediately, and nobody is in trouble for raising it. Then honour that the first time it happens.
Without this, people hide errors and you find out from the client.
Keep it two pages
If it is longer, it will not be read. If it is not read, it does not exist.
Write it in plain English. Have someone outside the process read it and tell you what they think it means. Review it every six months, because the tools change fast enough that a year-old policy will name products you no longer use.
A policy is a starting point, not legal advice. If you handle regulated data, have someone qualified look at it.
Written by
Jatinder Palaha
Founder, Digital Rapport®
Jatinder Palaha has worked one to one with coaches, consultants, authors and experts since 2008, helping them turn what they know into a business that runs online.
More about Jatinder PalahaCommon questions
- Does a small business need an AI use policy?
- If anyone on the team uses AI on work involving client data, yes. It need not be long — two pages of plain English covering what is encouraged, what is forbidden, and when a human checks is far more useful than a legal document nobody reads.
- What should never be put into a public AI tool?
- Client personal data, anything under NDA, health or financial records, credentials, and unreleased commercial information — unless you are on a plan with contractual guarantees about training and retention, and you have checked those terms.
Go deeper
How to Create an AI Use Policy for Your Small Team
Clear rules people will actually follow
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