Using AI Chatbots at Work Safely: A Practical Guide

AI assistants can draft emails, summarise long documents, explain error messages, write spreadsheet formulas and brainstorm ideas in seconds. Used well, they save real time. Used carelessly, they can leak confidential information, introduce errors into important work, or break company rules. This guide covers the practical habits that let you get the benefits safely.

1. Start with your organisation’s policy

Many organisations now have an AI use policy that specifies:

• which AI tools are approved (often business versions with contractual data protections);
• what kinds of information may and may not be entered;
• whether AI-assisted work must be disclosed or reviewed.

If your organisation has a policy, follow it. If it doesn’t, ask your manager or IT team before using AI with work information – and use the principles below in the meantime.

2. Know the difference between consumer and business tools

The same AI product can come in different versions:

• Free and personal plans may, depending on the provider and your settings, retain conversations and use them to improve services.
• Business and enterprise plans usually include stronger commitments, such as not training on your data, admin controls, retention settings and compliance features.

Providers’ policies change, so check the current terms and privacy settings rather than relying on what you heard months ago.

3. Don’t enter sensitive information into unapproved tools

As a rule, keep these out of any AI tool your organisation hasn’t approved for them:

• personal data about customers, patients, employees or students (names, contact details, ID numbers, health or financial information);
• confidential business information – unreleased financials, contracts, pricing, strategy, legal matters;
• credentials – passwords, API keys, access tokens, internal URLs;
• proprietary source code or security configurations;
• anything covered by a confidentiality agreement.

When you need help with a task involving sensitive material, anonymise it: replace real names with placeholders, remove identifying details, and describe the structure of the problem rather than pasting the data.

4. Always check the output

AI models can produce confident, fluent answers that are partly or entirely wrong – sometimes called “hallucinations”. They may invent statistics, references, legal cases or product features. Before using AI output:

• verify facts, figures and quotes against reliable sources;
• test code, formulas and commands in a safe environment before using them on live systems;
• check that summaries haven’t left out or changed important points;
• review tone and wording before sending anything to customers or colleagues.

Our guide to fact-checking AI answers covers this in detail.

5. Be careful with commands and scripts

AI tools are good at suggesting PowerShell commands, Excel macros and scripts, but a single wrong command can delete files or change system settings. Understand what a command does before running it, test it on non-critical data first, and never run scripts with administrator rights unless you’re sure. On managed work devices, follow IT’s rules.

6. Watch out for AI-related scams and risks

• Fake AI apps and browser extensions imitate popular tools to steal data. Install AI tools only from official sources and approved app stores.
• AI-generated phishing is more polished than older scams – see how to recognise phishing.
• Voice and video impersonation (“deepfakes”) can be used to imitate executives requesting urgent payments. Verify unusual requests through a known phone number or in person.
• Prompt injection: when AI tools read web pages, emails or documents, hidden instructions in that content can try to manipulate the AI. Be cautious about letting AI tools take actions (sending emails, editing files) based on untrusted content.

7. Respect intellectual property and transparency

• Check your organisation’s rules on using AI-generated text and images in published or client work.
• Don’t present AI-generated content as entirely your own where honesty matters, such as reports, academic work or anything where your organisation requires disclosure.
• Be cautious about asking AI to reproduce copyrighted material.

8. Use AI for what it does well

AI assistants are particularly useful for:

• drafting and rewriting – first drafts of emails, documentation and reports;
• summarising long documents you’re allowed to share with the tool;
• explaining technical concepts, error messages and unfamiliar terms;
• brainstorming ideas, outlines and checklists;
• formulas and code assistance, with testing;
• reformatting – turning notes into tables, bullet points or structured templates.

They’re less suitable as a sole source for legal, medical, financial or safety-critical decisions. Our guide to writing better AI prompts helps you get better results.

A quick workplace checklist

1. Is this tool approved for this kind of information?
2. Have I removed personal data, secrets and confidential details?
3. Have I checked facts, figures and references?
4. Have I tested any code, formulas or commands?
5. Am I comfortable being responsible for this output?

Conclusion

AI assistants are powerful productivity tools when you treat them like a capable but fallible assistant. Follow your organisation’s policy, keep sensitive information out of unapproved tools, verify everything important, and stay alert to AI-themed scams. That way you get the time savings without the risks.