Start with low-risk, repetitive work where a person reviews the output: drafting first versions of text, summarising notes, sorting enquiries and tidying routine admin. Ignore anything that needs perfect accuracy, involves sensitive personal data, or makes decisions about people without review. Pick one small task, measure whether it saves time, and expand from there.
A risk-first way to prioritise
Ask two questions of any idea: how costly is a mistake, and how easy is it to check the result? Good first candidates are cheap to get wrong and easy to check.
| Priority | Type of task | Why |
|---|---|---|
| Start here | Drafting emails, social captions, outlines; summarising your own meeting notes; brainstorming | A person reads every output before it is used |
| Next | Triage and routing: tagging enquiries, drafting replies for approval; reporting summaries | Contained and reviewable; benefits from workflow automation |
| Later | Customer-facing chat, pricing, scheduling, anything touching customer records | Mistakes reach customers; needs testing and clear escalation |
| Avoid for now | Legal, medical or financial advice to customers; decisions about hiring or credit; anything you cannot review | High stakes, hard to verify |
Starting points by business function
Marketing and content
Drafting captions, outlines and variations is a common first use. Keep a person in charge of facts, tone and brand. Google’s guidance on people-first content warns against content produced mainly to attract search traffic, and says to consider disclosing automation or AI use where readers would reasonably wonder about it. Mass-produced, thin pages are a warning sign. For the wider picture, see building a digital marketing strategy.
Admin and operations
Summarising notes, extracting action items, drafting standard replies and organising information are low-risk and easy to verify. Automations that move data between tools can follow once the manual process works.
Customer service
Use AI to draft replies that staff approve before moving to anything automatic. Always give customers a clear path to a human.
Video and creative
AI can help with concepts, storyboards and short promotional clips. Quality control and brand fit still need human judgement. Our guide to video marketing for small businesses in Australia covers practical formats.
What to ignore, at least at first
- “Replace your team” promises. Treat any tool claiming this with caution.
- Buying many tools at once. Each adds cost, logins and data exposure.
- Custom models and large projects. Prove value with off-the-shelf tools first.
- Fully automatic publishing or replies. Add review steps until you trust the process.
- Hype about what competitors are doing. Choose by your own bottlenecks.
Privacy and data: a minimum standard
The Office of the Australian Information Commissioner has published guidance on privacy and the use of commercially available AI products. It is non-binding advice on how Australian privacy law applies to AI and offers practical steps for choosing AI products. Note that the OECD.AI page summarising it is a secondary description; read the OAIC’s own materials for the exact wording.
Sensible habits, as general information rather than legal advice:
- Do not paste customer personal information into a tool until you understand where the data goes and how it is used.
- Read the provider’s terms on data retention and model training.
- Keep a short list of approved tools and what they may be used for.
- Check whether your obligations under the Privacy Act apply, and seek professional advice if unsure.
A four-week starter plan
- Week 1: List five repetitive tasks. Pick one that is low-risk and checkable.
- Week 2: Try one tool on that task, with a person reviewing every output. Record time taken before and after.
- Week 3: Write down what worked, what needed fixing, and any data concerns. Write a one-page usage rule.
- Week 4: Decide: keep, adjust or drop. Only then pick the next task.
Where Radiance Impact fits
Radiance Impact brings together creative production, AI and digital technology. Practical starting points include workflow automation and ready-made automation kits; see the automation checklist and /about, or contact us to talk about your first use case.
Sources
- Creating helpful, reliable, people-first content, Google Search Central
- Guidance on privacy and the use of commercially available AI products, OECD.AI Policy Navigator (summary of OAIC guidance)
