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Choosing an AI tool for your SME: five criteria

Updated on 8 October 20265 min readBy aidock

To choose an AI tool, start from a specific task, not a brand. Then check five points: the task to cover, the data you will give the tool, the price per user, and the language and integration with your software. The last point is decisive: a test on three real cases from your business. Decide on these results, not on a demo.

The CNIL (France’s data protection authority) and the CPME (a French federation of small businesses) advise starting from a concrete need before choosing among the many tools available. Here are five criteria, in order.

1. The task

Write in one sentence what the tool must do. For example: “write customer reminders from our overdue invoices”. The more precise the task, the simpler the choice.

For many writing tasks, a general assistant is enough: Vibe (Mistral AI), ChatGPT, Claude, Gemini or Copilot. For others, a specialised tool may be better suited, for example to transcribe a meeting. Our task pages will guide you:

2. The data

List what you will give the tool. Generic texts? Customer names? Confidential figures? The more sensitive the data, the more safeguards you need: hosting, no training on your data, a data processing agreement.

Free consumer plans may use conversations to improve the models. Professional plans often rule this out in the contract. Check each tool with our six GDPR questions.

3. The price per user

Many tools are paid for per user per month. Work out the real cost: price per user, multiplied by the number of people, over twelve months. Also check:

  • the commitment, monthly or annual;
  • any minimum number of licences;
  • usage limits and extra credits;
  • features reserved for the higher plan, such as administration or the data processing agreement.

The Index shows the price found on the official page, in the provider’s currency, with the date it was checked. You can start with a few licences, for the people who need them most.

4. Language and integration

Test the tool in the language you work in, on your own texts. Look at the interface, the quality of the answers and whether it keeps the right level of formality. Then check whether it connects to your tools: email, calendar, spreadsheet, management software. A tool that makes you copy and paste all day will soon be abandoned.

5. The test on three real cases

Do not decide on a demo. Choose three real tasks from your week. Test the tool on each one, with non-sensitive or anonymised data. Note the results in a simple grid.

Real caseExpected resultQuality (1 to 5)Time saved or lostEdits needed
Reminder for an overdue invoicePolite email, ready to send
Notes from the team meetingClear decisions and actions
Product description from a user manualAccurate text, nothing invented

Compare two tools on the same cases. Have the test done by the person who will do the task every day. Check every figure and every name: an AI assistant can produce answers that are wrong but convincing.

After choosing

Add the tool to your usage policy and train its users, for example with the Learn path. This also moves you forward on Article 4 of the AI Act, which asks you to support your teams’ AI literacy.

Frequently asked questions

Do I need a different tool for each task?

Not necessarily. A general assistant already covers many writing tasks. Add a specialised tool only if the test on real cases shows a clear gain.

Is a free plan enough for testing?

Yes, for a test with non-sensitive data. For daily use with customer or employee data, look at the safeguards of the professional plan: training, data processing agreement, administration.

How long should the test last?

Plan to run each case at least twice, because an AI tool does not always give the same result. What matters is testing on your own work, not on the provider’s examples.

Sources checked

This guide gives information, not legal advice. Check the official text in force for your situation.

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