You don’t need to use AI perfectly to benefit from it. A few sensible habits will help you avoid the most common frustrations and keep your business, customers and team at the heart of the experience.
1. Trying to change everything at once
A long list of possible uses can quickly become another job. Start with one familiar, low-risk process and agree what a good result looks like. Learn from it before expanding. If a simple template already solves the problem, use the template.
2. Trusting a polished answer without checking
AI can confidently produce incorrect names, dates, figures, quotations and sources. Review everything that will affect a customer or a decision. Open original sources rather than relying on a generated citation, and check important calculations separately.
For legal, financial, health or safeguarding matters, use appropriate qualified advice. An AI draft is not a replacement for professional responsibility.
3. Expecting it to know your voice
“Write a professional email” leaves a lot to interpretation. Give a short description of your audience and tone, along with a non-sensitive example you have permission to share. Ask for plain English, the length you need and any wording to avoid.
Examples guide a response; pasting them into a chat is not the same as permanently training a private model. Save your instructions so the team can use a consistent starting point.
4. Stopping at the first response
Treat the first answer as a starting point. Say what feels wrong: “This sounds too formal”, “Use only the facts I supplied” or “Explain what is uncertain”. Ask the tool to identify assumptions, but verify the answer yourself; asking AI to check itself is not an independent check.
5. Assuming a paid account makes every upload safe
Free and paid services have different terms, settings and retention arrangements. Paying alone does not make a service suitable for personal or confidential data. Check your organisation’s policies, access controls, provider terms and relevant data-protection obligations before sharing anything.
For early experiments, use fictional or genuinely anonymous information. Removing a name may not be enough: a combination of details can still identify someone. Never share passwords, payment details or sensitive customer information in an unapproved tool.
Agree three ground rules
Before your next experiment, agree what information can be used, who checks the result and what must never be sent automatically. A short conversation with your team is a good first step towards using AI with confidence.
Ask Scott a question