Artificial intelligence tools are becoming part of everyday working life. Your team is almost certainly already using them — to draft emails, summarise documents, research topics, and speed up repetitive tasks. This is not a problem. AI genuinely helps people do better work, faster.
The concern is not AI itself. The concern is what happens to the data that goes into it — and whether your team understands the difference between a tool that protects your business information and one that doesn’t.
This article sets out a practical framework for AI use in your business. It is designed to be shared with your team, adapted to your specific context, and used as the foundation for a formal AI usage policy if your business needs one.
Without employer knowledge or approval, according to Microsoft and LinkedIn’s 2024 Work Trend Index Annual Report. Most are doing it to save time — not to cause harm. But without clear guidelines, they’re making data handling decisions they’re not qualified to make.
Source: Microsoft & LinkedIn Work Trend Index Annual Report, 2024
The right response to AI in the workplace is not to ban it. Businesses that restrict AI use entirely will fall behind those that adopt it thoughtfully. The goal is to channel AI use productively and safely, not to eliminate it.
AI tools are genuinely useful for a wide range of everyday tasks:
Drafting emails, documents, proposals and reports · Summarising meetings, calls and long documents · Researching topics and brainstorming ideas · Analysing data and generating insights · Automating repetitive or time-consuming tasks · Learning, training and professional development
The important caveat: AI tools produce outputs that need to be reviewed before they are sent, published, or acted upon. AI can be wrong, and it doesn’t know your business the way you do. Treat AI output as a first draft, not a finished product.
This is the question every business needs to answer before their team uses any AI tool. Different tools handle data in fundamentally different ways — and the consequences of getting this wrong can be significant for a business that handles sensitive client, financial, or personal information.
When you type information into an AI tool, that information goes somewhere. Depending on the tool and the plan, it may be:
Retained by the provider and used to train future AI models · Stored on servers in other countries · Accessed by the provider’s staff for review · Shared with third parties under the provider’s terms · Or — in the case of properly configured business tools — kept entirely within your own environment and never used for training
The difference between these outcomes depends entirely on which tool is being used and on what plan. Here is a practical breakdown of the most common tools your team is likely to encounter:
| Tool | Status | What happens to your data |
|---|---|---|
| Microsoft 365 Copilot Business | Approved | Stays fully inside your Microsoft 365 environment. Uses your existing permissions and compliance settings. Your data is never used to train AI models. Safe for all business use including sensitive information. |
| Microsoft Copilot (free / consumer) | Restricted | Consumer version not connected to your M365 account. Data handling subject to Microsoft consumer policies. Do not enter confidential, client, or sensitive business information. |
| Claude — claude.ai (paid) | Caution | Data is not used to train models on paid plans. On free plans, conversations may be reviewed. Confirm your plan type before entering sensitive data. Generally safer than consumer-grade tools on a paid subscription. |
| ChatGPT (consumer / free) | Restricted | May be used to train OpenAI’s models by default. Do not enter any confidential, client, or sensitive business information under any circumstances. |
| Google Gemini (consumer) | Restricted | Subject to Google consumer data policies. Treat the same as ChatGPT consumer — avoid all sensitive or client data. |
| Unknown or unapproved tools | Restricted | Assume your data may be retained, shared, or used for training. Do not use without approval from your IT team or management. |
Even when using approved tools, your team should understand what categories of information carry the highest risk and deserve the most care. The following framework applies to consumer or unapproved AI tools — information in these categories should never be entered without explicit approval.
These five rules cover the most important principles for safe AI use in a business environment. They are simple enough to remember and broad enough to apply to any tool or situation your team might encounter.
If you wouldn’t email it to a stranger, don’t put it in a consumer AI tool. This is the simplest test. If the information is sensitive enough that you’d think twice about emailing it to an unknown recipient, it has no place in a consumer AI tool.
Always review AI output before sending, publishing, or acting on it. AI tools can be wrong, inconsistent, or outdated. Every piece of AI-generated content needs a human review before it goes anywhere — internally or externally.
If a tool isn’t on your approved list, ask before using it. New AI tools appear constantly. The fact that a tool is popular or free doesn’t make it safe for business use. When in doubt, ask your IT team or manager before using a new tool for work tasks.
Do not present AI-generated content as entirely your own original work without disclosure where required. This matters for compliance, professional standards, and trust. Know your industry’s requirements and be transparent where transparency is needed.
Report any AI-related data concerns to your manager immediately. If you accidentally entered sensitive information into an unapproved tool, or if you suspect a data incident related to AI use, report it immediately. Early disclosure allows the business to respond appropriately.
AI is useful. Embrace it. Your competitors already are.
The goal is not to restrict AI — it’s to make sure your team uses it in a way that protects your business and your clients.For many businesses, a one-page guideline is enough to set clear expectations and reduce risk. For businesses in regulated industries — legal, financial services, healthcare, and others — a more formal AI policy may be required, covering data classification, tool approval processes, incident response, and compliance obligations under the Privacy Act.
The starting point in either case is the same: establish which tools are approved, make sure your team understands why data handling matters, and create a clear process for introducing new tools. The one-page guideline below gives you a practical template to start from.
We have prepared a one-page AI Usage Guideline template that any business can adapt and distribute to their team. It covers approved tools, data handling rules, the do and don’t lists, and a staff acknowledgement section. To receive your copy, simply click the button below and send us a quick email — we will reply with the guideline promptly.
Whether you’re thinking about Microsoft 365 Copilot, building an AI usage policy, or just want to understand what’s right for your team — the Technicalities team is here to help.