AI Governance for SMEs: A Practical Guide
Most AI governance advice is built for enterprises with legal teams and risk committees. SMEs need something lighter, faster and just as safe. Here it is.
Quick answer
Quick answer
An AI use policy does not need to be long to be good: it needs to be read. Aim for one page covering seven things: approved tools, data that must never be entered into AI, permitted and prohibited uses, the requirement to verify output, disclosure expectations, who to ask or report issues to, and accountability. Write it in plain language a new starter could follow on day one. Two rules do most of the work: never put sensitive data into unapproved tools, and never use AI output in something consequential without checking it. A policy that nails those, and that people actually read, prevents the overwhelming majority of real incidents.
Why this matters now
Your staff are using AI whether or not you have written anything down, and in the absence of a policy, they are making up their own rules, tool by tool, keystroke by keystroke. With Australian business adoption high and largely informal, the unwritten policy is "anything goes", which is precisely how client data ends up in a public chatbot.[verify]
A policy is the cheapest governance you can buy. It does not require new tools or budget, just clarity. And clarity, written down and shared, is what turns nervous or reckless AI use into confident, safe use.
What an AI use policy really does
It removes guesswork. Right now, a well-meaning employee genuinely does not know whether they can paste a client email into ChatGPT to draft a reply. A policy answers that, and a hundred questions like it, once, clearly, for everyone. It is less a rulebook than a permission slip with edges.
The seven elements
| # | Element | Plain-language example |
|---|---|---|
| 1 | Approved tools | "Use [X] and [Y]. Ask before using others." |
| 2 | Data rules | "Never enter client, personal or financial data into AI." |
| 3 | Permitted uses | "Drafting, research, summarising: yes." |
| 4 | Prohibited/verify uses | "Decisions, advice, anything published: verify first." |
| 5 | Disclosure | "Tell us / the client when AI materially helped." |
| 6 | Who to ask | "Questions or issues go to [owner]." |
| 7 | Accountability | "You're responsible for what you send out." |
Where policies go wrong
The classic mistakes are length and tone. A ten-page legal document is governance that exists on paper and nowhere else. So is a policy of pure prohibition, which simply moves AI use into the shadows where you cannot see or guide it. The best policies are short, specific, and written to enable careful use: they read like helpful advice from a sensible colleague, not a warning from legal.
How to write it
- Start from the seven elements above.
- Use plain language and real examples from your work.
- Lead with what people can do, then the guardrails.
- Name an owner and a place to ask questions.
- Keep it to a page; brief the team; review periodically.
Common mistakes
- Too long to read, so no one does.
- Pure prohibition, driving shadow use.
- No examples, leaving the rules abstract.
- Written once, never reviewed.
How to measure it
Track whether staff know the policy exists and what it says, whether sensitive data stays out of unapproved tools, and whether questions flow to the owner rather than getting guessed at. A policy is working when it changes behaviour, not when it is signed.
The recommendation: write one page this week. Seven elements, plain language, real examples, an owner, and the two rules that matter most. Pair it with a little AI literacy so people understand the why, and you have most of practical governance for the price of an afternoon.
Frequently asked
Questions, answered.
What should an AI use policy include?
Seven things: which tools are approved, what data must never be entered into AI, what AI may and may not be used for, the requirement to verify output, disclosure expectations, who to ask or report issues to, and accountability. Keep it to a page in plain language so people actually read and follow it.
How long should an AI use policy be?
One page for most organisations. A short, clear policy people read beats a long one they ignore. Regulated or large organisations may need more detail, but the core rules should still fit on a page that any employee can absorb in a few minutes.
What's the most important rule in an AI use policy?
Two rules carry most of the weight: never put sensitive or personal data into unapproved tools, and never use AI output in something consequential without verifying it. If a policy only nailed those two, it would prevent most real-world AI incidents.
Should an AI policy ban or enable AI?
Enable, with guardrails. A policy that bans AI drives use underground where it is ungoverned and riskier. A good policy tells people how to use AI well and safely, which both reduces risk and improves adoption. Permission plus guardrails beats prohibition.
How do we keep an AI policy current?
Review it periodically and when tools or rules change, name an owner responsible for it, and treat it as a living document. AI moves quickly, so a policy written once and forgotten ages fast. A quarterly glance is usually enough for most organisations.
Take the next step
Ready to put this into practice?
Edison AI helps Australian businesses move from AI curiosity to practical implementation, with workflow design, team training and measurable outcomes. Tell us about your setup and we'll come back with a sequenced plan grounded in the same thinking you just read.
Article: How to Write an AI Use Policy for Your Organisation