How to Use Teams AI Transcription

Microsoft Teams can transcribe meetings in real time using AI, producing a text record of who said what during a call. That transcript is useful for reviewing decisions, assigning follow-ups, and catching anything missed during the meeting — but it needs correction before you rely on it. Proper nouns, technical terms, and speakers with similar-sounding names are frequent error sources. Tools like fenbs keep the confirmed transcript links and verified project takeaways outside the meeting platform, so every AI assistant working on the project starts from what was actually confirmed.

Before you use transcription in any meeting, you need to inform participants. This is both a product requirement and, in most US jurisdictions, a legal one. The sections below cover setup, consent, correction, and how to extract the useful parts from a long transcript.

How Teams AI transcription works

Teams transcription is powered by Microsoft's speech recognition, which identifies each speaker from their profile and phone signal. When transcription is active, each spoken line is attributed to a participant in real time and saved to the meeting record. The transcript is accessible from the meeting chat and recap after the call.

The transcription uses the same infrastructure as Microsoft Copilot in Teams. A Copilot license is required for the full set of AI features, though basic transcription capabilities have broader availability. For the current plan requirements and feature scope, check Microsoft's Teams licensing page directly, since these change with product updates.

Informing participants and managing consent

When you start transcription in Teams, participants receive a notification that the meeting is being transcribed. That notification is the product's built-in consent mechanism. Do not disable or bypass it. In the United States, recording and transcribing a call without the consent of all participants is illegal in many states under wiretapping and eavesdropping statutes, even in a workplace context.

For external meetings — with clients, vendors, or candidates — state explicitly at the start of the call that it is being transcribed and give participants a moment to object. Relying on the system notification alone is not adequate when the other party is not familiar with your workspace tools. Check your organization's legal guidance for external calls with confidentiality obligations.

If a participant objects to transcription, stop it for that call. The Teams notification tells participants transcription has started; it does not give them a clear path to opt out in the moment. Have a plan for how to handle an objection so the meeting is not disrupted.

How to access and correct the transcript

The transcript appears in the meeting's chat and recap view after the call ends. Open it and scan for speaker attribution errors and misheard words. Proper nouns — product names, company names, people's names — are the most common source of errors. Technical vocabulary in specific industries is also frequently misheard.

In Teams, you can edit the transcript directly from the recap view. Correct attribution errors (where the wrong person is listed as the speaker) and any words that are significantly wrong. You do not need to correct every misheard filler word, but fix anything that changes the meaning of a commitment or decision. See Microsoft's help documentation for the current steps to edit a transcript, as the interface changes with product releases.

Extract the useful parts from a long transcript

A full meeting transcript is not useful as a project record. It is the raw material for one. Copy the transcript into a chat and ask the AI to extract what matters: "Identify any decisions made, any commitments with an owner and a deadline, and any questions that were raised but not answered. Ignore the rest." That extraction takes seconds and produces a concise summary of the meaningful parts.

Compare the extraction against your recollection of the meeting. Correct any misattributions or missed commitments before you record the outputs. A commitment attributed to the wrong person is harder to correct after the follow-up email has been sent.

How to manage Teams transcripts with fenbs

1. Create a free account and add a project for the work your Teams meetings support.
2. After each transcribed meeting, open the transcript from the meeting recap view. Correct any speaker attribution errors and significant misheard words.
3. Copy the corrected transcript into a chat. Ask your AI to extract confirmed decisions, commitments with owners and deadlines, and open questions.
4. Add confirmed decisions to Decisions and rules and action items to the project board. Add the transcript link to Links with the meeting date and topic.
5. Connect your AI assistant to fenbs from Integrations. At the start of each session, it reads the confirmed decisions and linked transcripts rather than re-reading the raw text.

What Teams AI transcription does not do

Transcription records what was said, not what was meant. An indirect commitment — "I can probably get to that this week" — appears in the transcript, but the AI cannot tell you whether that is a firm commitment or a polite signal that other work comes first. That judgment still requires a person.

Transcription also does not capture context from outside the meeting: prior decisions, background research, or the organization's existing rules. A transcript of a meeting that decided to override an earlier policy does not include the policy. That is why storing decisions in a project record — rather than relying on the transcript to carry all the context — matters for any project that spans multiple meetings.