Using AI Safely: What Every Service Provider Should Know

This blog was inspired by a conversation with Baidy Barton on the Seed to Success podcast. You can listen to the full podcast here.

Using AI always carries some risk. The question is whether you understand it. You know it could save you hours, but there's a small voice asking what happens if you get it wrong. That instinct isn't something to brush off. It's actually a good sign. It means you're thinking about your clients before you think about the shortcut.

Not All Data Is Created Equal

Under Australian privacy law, there are two layers of information worth understanding. Personal information is the straightforward stuff, someone's name, address, date of birth, phone number. It's either that information or it isn't, so it's fairly easy to spot.

Sensitive information carries a higher bar. Think ethnicity, religion, health details, anything that could let someone make a judgement call about a person. This is the information that needs the most protection, and it's worth knowing exactly where it sits in your systems rather than trying to lock down every single file you hold.

The Everyday Risks Hiding in Plain Sight

Most AI risk doesn't come from doing something reckless on purpose. It comes from the platforms themselves. Data leaks happen when the tool you're using gets compromised, not because you did anything wrong. Then there's the reliability problem, AI can confidently hand you information that's simply made up, and if you don't check it, that mistake becomes yours the moment you send it on.

There's also a quieter risk worth knowing about, sometimes called a supply chain risk. Any tool connected to your systems, whether it's a chatbot, a project management platform, or a browser extension, can become a way for your information to end up somewhere you didn't intend.

Strip It Back Before You Share It

A simple habit solves a lot of this. Before you put anything into an AI tool, ask what's actually publicly available information and what isn't. Industry, sector, rough business size, that's usually fine to work with. Names, exact addresses, anything that identifies a specific person or business, strip it out first.

If you still need that context for the task, keep a separate mapping key somewhere the AI can't access, so you can match it back up later without ever exposing it in the first place.

Treat AI Like Any Other Team Member

It helps to think about AI the same way you'd think about briefing a new team member or an offshore contractor. You'd give clear instructions, you wouldn't hand over more access than the task needs, and you'd check the work before it goes anywhere near a client. The same logic applies here. Give AI tools access to the smallest possible folder or file, not the whole client drive, and always run your own eye over anything before it leaves your hands.

Bring Your Clients Into the Conversation

Transparency doesn't need to be a big formal policy document. A short paragraph about how you use AI in your business, shared early with new clients, does most of the work. For long standing clients, a simple check in about how they feel about AI tools keeps everyone on the same page as things change.

None of this is about being scared of AI. It's a tool, and like any tool, it works best when you understand how to use it well. Ask yourself one simple question before you share anything: would you be comfortable seeing this information on the front page? If the answer's no, that's your sign to hold back. If it's yes, use the tool with confidence.

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