If your business uses any AI tools (and most do now, even if it's just spam filtering or automated scheduling), Australian regulators expect you to have some idea of what those tools are doing. The good news: compliance reporting for AI governance doesn't require a team of lawyers or a large consulting budget. It requires a bit of documentation and a sensible approach to risk.
The ASIC 2026 outlook identifies AI-related risks as a growing area of focus, particularly around misleading conduct and data handling. For small businesses, this means having answers ready when someone asks: "What AI are you using, and how do you manage it?"
Here's a simple checklist you can work through quickly.
Step 1: Make a List of Every AI Tool You Use
This sounds obvious, but most business owners underestimate how many AI-powered tools they're running. Start by listing the obvious ones: ChatGPT, Microsoft Copilot, Google's AI features, any chatbots on your website.
Then look more closely. Your email spam filter uses AI. Your accounting software might use it for categorisation. Your CRM probably uses it for lead scoring. Even your security tools use internal patterns to detect threats.
Create a simple spreadsheet with these columns:
- Tool name
- What it does
- What data it accesses
- Who in your team uses it
- Vendor name and country
You don't need to write essays. "Xero, accounting, financial records, accounts team, Australia" is enough. The point is having a record that shows you've thought about this.
Step 2: Check What Data Each Tool Can See
This is where most small businesses get caught out. That free AI writing assistant your marketing person loves? It might be training on everything typed into it. The AI meeting transcription tool? It's processing client conversations.
For each tool on your list, answer these questions:
- Does it store the data you input?
- Does it use your data to train its models?
- Where is the data stored (which country)?
- Can you delete your data if needed?
Most of this information lives in the privacy policy or terms of service. Yes, reading those is boring. But you only need to do it once per tool, and you can search for keywords like "data retention" and "training" to find the relevant sections quickly.
If a tool sends Australian client data overseas without proper protections, you might be breaching the Privacy Act. If you're handling sensitive information (legal, medical, financial), this step matters even more.
Step 3: Document Your Approval Process
Who decides if your team can use a new AI tool? If the answer is "anyone who finds something useful," you've got a gap.
You don't need a formal committee or a lengthy policy. A simple rule works: "New AI tools need approval from [name] before use with client data." Write that down somewhere your team can find it.
Keep a record of approvals. When someone asks to use a new tool, note the date, the tool, who approved it, and any conditions (like "not for client files" or "personal use only").
This documentation helps you meet cyber insurance training requirements, which increasingly ask about AI governance. Insurers want to see that you're not just letting staff plug client data into random AI services.
Step 4: Set Up Basic Compliance Reporting
Compliance reporting doesn't mean generating long documents. It means being able to answer questions when asked. The Tax Practitioners Board's 2026 priorities focus on practitioner misconduct, such as tax avoidance schemes, phoenix activities, and exploiting vulnerable Australians, and other regulators are following similar paths.
Create a simple quarterly review process:
- Review your AI tool list (any new additions?)
- Check for any incidents or concerns
- Update documentation if anything changed
- Note the date you did this review
That's it. Four bullet points, once a quarter. If a regulator or insurer asks about your AI governance, you can point to dated records showing regular reviews.
For businesses handling online safety compliance, this documentation fits in alongside your other records.
Step 5: Train Your Team (and Test Them)
The biggest AI risk for most small businesses isn't the technology itself. It's staff pasting confidential information into public AI tools, or falling for AI-generated phishing emails that look very convincing.
Your team needs to know:
- Which AI tools are approved for work use
- What data they can and can't put into AI tools
- How to spot AI-generated scam emails (they're getting better)
- Who to ask if they're unsure
A short briefing covers the basics. But talking isn't enough. You need to verify that people actually remember this when a convincing phishing email lands in their inbox.
Automated phishing simulations test whether your training stuck. The system sends realistic test emails, tracks who clicks, and automatically provides training to those who need it. You get compliance reporting showing exactly who's been tested and trained, which satisfies most insurance and regulatory requirements.
This connects directly to your identity security practices, since AI-generated phishing often targets employee credentials.
Putting It Together
Your AI governance documentation might be a single folder with:
- A spreadsheet listing your AI tools
- A brief policy on tool approval
- Quarterly review notes (even just dates)
- Training records and test results
That's enough for most small businesses. You're not trying to match what a bank or hospital does. You're demonstrating that you've thought about AI risks and taken reasonable steps.
When your cyber insurance renewal asks about AI governance, you have answers. When a client asks how you protect their data from AI misuse, you have documentation. When regulations tighten (and they will), you're already ahead.
The hardest part is starting. Once you have the basic structure, maintaining it takes minutes per quarter.
Ready to tick off Step 5? Start a free trial of Phishing Training Australia and send yourself a test phishing email. You'll see exactly what your employees experience, and you'll have your first compliance report shortly.
