AI can be useful without becoming the centre of your working day. The best place to start is usually a small task you already understand well, because you can tell when the answer is helpful and when it is wrong.
A better question: Instead of asking whether you are “using AI yet,” ask where a first draft, a summary or a second opinion would remove repetitive work without handing over an important decision.
Start with the boring work
AI is often most helpful before the interesting part begins. It can turn rough notes into an outline, suggest clearer wording or organise a long list. You still choose what is accurate, useful and appropriate.
Ask for three ways to organise an email or report, then rewrite the result in your own voice.
Ask for a short summary and a list of questions to check against the original document.
Turn a goal and a deadline into a first checklist that you can edit.
Ask for an explanation at your level, followed by a small example you can test yourself.
Give it a safe first task
Use a task where a weak answer is inconvenient rather than harmful, such as improving an internal outline.
Replace real names, account information and confidential business data with neutral placeholders.
Say who the work is for, what format you want and what a good answer must include.
Compare facts, links, numbers and quotations with the original source before using them.
Save the useful prompt and note what you changed so the process becomes repeatable.
A useful prompt does not need special terminology. Clear context and a concrete request usually matter more than complicated instructions.
What to share and what to keep out
Before using any service, check its privacy controls and your organisation's policy. For example, ChatGPT provides Data Controls that let account holders manage whether conversations are used to improve models. Business services can have different terms, so the product and account type matter.
Keep human judgement in the loop
- Read the complete answer instead of trusting the opening paragraph
- Open important sources and confirm that they support the claim
- Recalculate numbers that affect money, time or risk
- Check whether names, dates and product versions are current
- Ask a qualified person to review high-impact decisions
- Keep responsibility for the final work with the person who uses it
NIST's AI Risk Management Framework treats risk management as an ongoing process: govern the use, understand the situation, measure what happens and manage the risks. For everyday work, that translates into choosing a sensible task, testing the result and changing course when the tool is not helping.
Decide whether it is actually useful
Try the same small task a few times and look at the result honestly.
Key takeaways
- Keep it if it saves time after fact-checking and editing
- Change the approach if the same mistakes keep appearing
- Stop using it for a task when checking the output takes longer than doing the work yourself
- Use a more controlled business service when the work involves approved internal information
You do not have to become an AI expert. One safe, repeatable use is more valuable than forcing AI into every part of your work.
