Start where work is repetitive, high-volume and low-risk if it is wrong: sorting emails, extracting data from invoices, summarising documents, drafting routine replies and meeting notes. Avoid starting with anything that makes final decisions about customers, money or compliance. The best first project saves measurable hours and keeps a human checking the output.
What it depends on
The full answer depends on your specific circumstances. Here’s what matters.
Volume and repetition
A task done hundreds of times a month offers far more return than a complex task done twice a year.
Cost of an error
If a mistake is cheap and easy to catch, AI can move fast. If it affects advice, payments or legal obligations, keep a human in the loop.
Where the data lives
Tasks whose inputs are already digital (email, PDFs, your accounting system) are much easier to automate than paper-based ones.
The last 10%
What a qualified professional can add
The answer above covers the general position. Here’s where professional judgement — applied to YOUR specific situation — makes the difference.
- Mapping your workflows to find the highest-return first project
- Designing human review steps so errors are caught
- Connecting AI to the systems you already use
Questions to ask before you engage one
If you decide to engage a professional, these questions help you evaluate whether they’re right for your situation.
Which task costs us the most hours each month?
What happens if the AI gets this wrong, and who checks it?
Can this connect to our existing software without rebuilding it?
How will we know in 30 days whether it worked?
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General Advice Warning
The information on this page is general in nature and does not take into account your personal objectives, financial situation or needs. It is provided by Global Mutual Funds Pty Ltd (ABN 20 090 555 436, AFSL 222640) and should not be relied upon as a substitute for professional advice. Consider whether the information is appropriate before acting on it. Read our Financial Services Guide.