A useful workplace experiment starts with a defined task, appropriate information and a person responsible for the result.
Choose a bounded task
Start with work whose output you can assess: alternative headings, an outline based on public material or questions for a planning session. Define what a good result would look like before opening the tool. Avoid treating a polished answer as evidence that the underlying information is sound. Fluency and reliability are different qualities.
Be deliberate about inputs
Use tools approved for your organisation and check what information you may enter. Keep personal, confidential and client material out unless its use has been properly assessed and authorised. Read the relevant product settings and terms. The ICO’s AI guidance is a useful starting point for understanding responsibilities where personal information is involved.
Keep a human check
Verify names, dates, figures and quotations against the original source. Check any links by opening them, rather than assuming a plausible reference exists. For creative work, assess tone, originality and suitability for the audience. Decide who will approve the final output, and give that person enough time to do more than skim.
Measure the whole job
Compare the full task with your usual method, including briefing, corrections and checking. A quick first draft is only part of the process. Note where the tool helped and where it created extra work. A small, repeatable experiment can show whether a particular use belongs in your workflow or needs a different approach.
Write down the boundary
Record which tasks are suitable, what information is permitted and when staff should escalate a question. Make the guidance accessible to occasional users as well as enthusiasts. Revisit it as tools and working practices change. The aim is a useful, accountable method that colleagues can understand, rather than a vague instruction to use more AI.
Further reading
Illustration: AI-generated for Entrepreneur Prime. People and scenes are fictional.
