What is AI, and where does it fit in your business?

Among Australian small and medium businesses not yet using AI, 54% say it isn't relevant to them, and 19% of SMEs say they don't know how to use it in their business. This guide covers the basics.

Source: National AI Centre, SME AI Pulse, December 2025 to February 2026.

What AI is

AI is software that handles tasks that used to need a person's judgement: reading, writing, sorting, spotting patterns. The tools most businesses use today, such as ChatGPT, Claude, Microsoft Copilot and Gemini, are trained on huge amounts of text, which is why they're good with language.

They don't understand your business the way your staff do. They predict a likely answer from what they've been given, so the quality of the answer depends on the quality of the question and the information behind it.

What it's good at

• Drafting: first versions of emails, reports, proposals and policies.
• Summarising: long documents, meeting notes and contracts, cut down to what matters.
• Pulling data out of documents: invoices, forms and timesheets into a system or spreadsheet.
• Answering questions from your own material: procedures, manuals and past work, searchable in plain English.
• Routine sorting: enquiries, tickets and emails sent to the right person.

What it's not good at

• Being right every time.
• Knowing your context unless you give it.
• Judgement calls that involve people, safety or money.
• Knowing what it doesn't know.

How much should AI decide?

Every AI tool sits somewhere on a scale of how much it decides on its own.

1. Assist. AI drafts or recommends and a person makes the call. This is where most businesses start.
2. Automate. AI makes small, repeatable decisions within limits you set, like sorting enquiries or flagging invoices.
3. Decide. AI makes calls that affect customers, staff or money, with people watching the results.

The further down that list, the more oversight a tool needs, and the more your board should see. From 10 December 2026, businesses covered by the Privacy Act also have to explain in their privacy policy where software or AI makes, or substantially and directly helps make, decisions about people using their personal information.

The risks to manage

The risks fall into four groups:

• What staff do: pasting client or company data into public tools, and relying on output without checking it.
• What the tool gets wrong: confident wrong answers, and bias from the data behind it.
• What the law requires: privacy, and copyright and ownership of what's produced.
• What it costs: licences and usage creeping up across teams.

Simple rules, set before AI use spreads across the business, handle most of them.

Where to start

1. Find out how AI is already used. In most businesses, staff are using it before anyone has set rules.
2. Set basic rules. Which tools are approved, and what data can and can't go into them.
3. Pick one process. Something repetitive, where a mistake is easy to catch.
4. Try it with the people who do the work, then measure the time saved before rolling it out.