INSIGHTS - Free Me Up AI
Published March 2026 - 6 min read
AI tools like ChatGPT, Microsoft Copilot, and Zapier can genuinely save Australian small businesses hours every week. But they also introduce risks that many businesses do not think about until something goes wrong. This article covers the seven most common risks — and what to do about each one.
AI tools process the text you give them. If that text contains customer names, contact details, health information, or financial data, you may be sending personal information to a third-party server — potentially outside Australia. Under the Australian Privacy Act, businesses with annual turnover above $3 million have obligations around how personal information is handled and where it is stored. Some smaller businesses are also covered depending on the type of data they hold.
AI tools generate plausible-sounding text — but they can be wrong. This is called hallucination. A draft email that contains an incorrect figure, a summary that misattributes a decision, or a quote that omits a cost item can all create real problems if sent without review.
When staff outsource their thinking to AI tools, the quality of judgment in your business declines over time. This is most visible in writing — staff who rely on AI for all communication can lose the ability to write clearly without it — but it applies equally to analysis, planning, and decision-making.
If your business builds workflows, automations, and institutional knowledge around a single AI platform, switching later becomes expensive and disruptive. Some platforms also change pricing, terms, or functionality with little notice.
The copyright status of AI-generated content is unsettled in Australia. Content generated by AI may not be protected by copyright in the same way human-created work is. There is also a risk that AI tools trained on existing content reproduce material in ways that could constitute infringement.
An AI-generated email that sounds generic, gets the client's name wrong, or misrepresents a conversation can damage a relationship that took years to build. AI errors in client-facing communication are particularly visible and particularly hard to walk back.
If a decision is later questioned — by a client, a regulator, a funder, or a board — you need to be able to show how it was made. If AI was involved in producing the information that informed that decision, and there is no record of what the AI generated or how it was reviewed, your audit trail has a gap.
If you are thinking about these risks and do not yet have an AI policy in place, the Free Me Up AI Safety Policy template gives you a practical starting point. It covers permitted tools, data handling rules, human oversight requirements, and review cadence — written for small businesses, not enterprise legal teams.
AI is safe when used with appropriate governance — clear rules about which tools are permitted, what data can be processed, and how outputs are reviewed before use. Most of the risks above are manageable without significant cost or complexity. The businesses that run into problems are usually the ones that adopted AI without any governance in place.
If you have staff using AI tools — even informally — a basic AI policy is worth having. It does not need to be long. A one-page document that covers permitted tools, data handling rules, and review requirements is enough for most small businesses to start with.
Data privacy is the most commonly underestimated risk — specifically, the risk of inputting client personal information into AI tools that store or process data outside Australia. This is manageable but requires deliberate attention when choosing and configuring tools.