How to Choose an AI Meeting Assistant: 7 Practical Criteria for SMEs (2026)

1. Transcription quality in French 

This is the first filter. Quality differences remain significant between solutions, especially with regional accents, technical vocabulary, and noisy environments. Few vendors publish their error rate in French. Always test with a real audio file from your day-to-day before committing. And check diarization (identifying who is speaking): in a meeting with 6 participants, a tool that mixes up speakers produces an unusable report. 

2. Summaries and action extraction 

Raw transcription makes for 10 to 15 pages for a one-hour meeting. Nobody rereads that. What matters is the ability to produce a structured summary with decisions and assigned actions. An engineering project manager told us he had to revise his AI meeting notes three to four times before getting a usable result. Customizing the output format is a criterion not to underestimate. 

3. Integrations with your ecosystem 

The tool must connect to what you already use: Microsoft 365 or Google Workspace, but also Jira, Confluence, Salesforce, HubSpot. The main risk identified by the prospects we interviewed: creating one more silo. If the assistant doesn't connect to your business tools, you duplicate information instead of centralizing it. For the Microsoft case, our article on what Copilot does and does not do details the limits of the native option. 

4. GDPR compliance and data residency 

A criterion spontaneously raised by more than a third of the SMEs interviewed during an internally conducted market study. Most American tools (Otter.ai, Fireflies, Fathom) host data in the United States. European alternatives (Noota, Leexi, 5Days) offer EU hosting. With the gradual coming into force of the European AI Act, this criterion will gain importance. 

5. Capture mode: visible or discreet bot 

Most tools send a bot that joins the video conference as a visible participant. In client meetings, it's a sensitive issue. A few tools offer capture without a bot (desktop app), but it's often in beta. The visible bot has the advantage of transparency. Discreet capture raises legal questions if participants are not informed. 

6. Ability to leverage the project history 

This is the most underestimated criterion. Most tools treat each meeting in isolation. Yet, on a project lasting 6 to 18 months, the real value lies in the history: finding why a decision was made four months ago, which compromise was accepted. It's the shift from note-taking to project knowledge management. For a complete overview, see our ranking of the best meeting transcription tools. 

7. Real cost, not just the listed price 

Several recurring pitfalls: limited AI credits, capped transcription minutes, key features reserved for higher-tier plans.