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AI in a small business: choose a useful first project

Start with a task your team already performs. Then review the tools, accounts, information and checks needed to test AI without turning a small experiment into an uncontrolled rollout.

3 min read

Choose one task your team repeats often: preparing a reply, finding information or reviewing a document. Then ask what a useful result would look like and what information the tool would need. That gives an AI trial a purpose you can evaluate. Here is a five-step approach to adopting AI with a framework.

1. Take stock of current use

Before choosing a tool, find out what your teams already do. Which tools do they use, with which accounts, and for which tasks? Check in particular whether client documents are pasted into personal accounts, opened with a personal email address and with settings chosen by each employee. This picture is the starting point: it shows where AI genuinely helps and where the risks are.

2. Choose the tool for the work

The tools do not meet the same needs.

  • Microsoft 365 Copilot is built into Outlook, Word, Excel and Teams, and draws on your documents, emails and meetings. It suits teams that live in Microsoft 365.
  • ChatGPT and Claude are general-purpose assistants, useful for drafting, summarizing and analysis. Their business plans let the company manage accounts; the administration, retention and identity-management options differ by plan and provider.
  • AI in the phone system: with the 3CX AI edition, calls can be transcribed and summarized automatically, and AI agents can handle the front desk.

Many companies combine two. The right choice depends on the tasks to lighten, not on how popular the tool is.

3. Prepare your data before Copilot

Copilot respects existing permissions: it does not give access to a document an employee could not already open. The risk comes from overly broad, often forgotten sharing: a SharePoint folder open to the whole company, a OneDrive file shared by link. Copilot can surface these documents in its answers. Before rollout, SharePoint, OneDrive and Teams sharing should be reviewed and the necessary sensitivity labels applied.

4. Write the ground rules

An AI usage policy does not need to be long. It sets out the allowed tools, the data that can or cannot go into them, how answers should be checked and who to ask when in doubt. In Québec, Law 25 adds a technical question: where can personal information flow through these tools, and who can access it? The legal side remains with your advisors, but access and settings can be configured.

5. Train teams on their real tasks

An AI tool nobody knows how to use delivers nothing. The most useful training starts from your employees’ tasks: preparing a reply to a client, summarizing a meeting, analyzing a document. It also shows the tools’ limits: an AI answer can be confidently wrong, and it must be checked before it is sent.

What AI does not replace

AI helps your staff with their tasks; it does not replace them. It drafts, summarizes and suggests. Judgment, the client relationship and responsibility for the answer remain human.

How we help

Our AI for Business service supports you from reviewing current use to training your teams, on-site or remote, in French or English. We prepare access, configure the tools you choose, including AI in your 3CX phone system, and set the usage rules. As a Microsoft CSP partner, we also supply Microsoft 365 Copilot licences. Discuss an AI use case.

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Where could AI make a useful difference?

Tell us which task takes too much time, which information is difficult to use or which workflow you want to improve. We’ll help identify a practical starting point and the work required to put it in place.

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