Every Microsoft Teams meeting can generate transcripts and AI meeting notes.
But Microsoft itself explains that AI-generated content may be inaccurate or incomplete.
For organizations, that creates a new challenge.
The question is no longer whether AI can generate meeting minutes.
The question is whether anyone verified that they are correct.
AI-Transcript adds a Human Intelligence Trust Layer (HITL) that allows participants and moderators to verify, correct and approve meeting records before they become official Minutes of Meeting.

We work with those outputs.
AI-Transcript transforms Microsoft's transcript into an auditable verification workflow that produces meeting minutes people can trust.
This is not another transcription service.
Whether your Teams subscription includes AI meeting notes or only basic transcription, every organization faces the same challenge:
Can everyone trust the final meeting record?
AI-Transcript works with exported Microsoft Teams recordings and transcripts to provide:
- AI prepares.
- Humans verify.
- Moderators approve.
- Every important decision passes through a structured verification process before it becomes part of the official Minutes of Meeting.
The result is accountability—not simply automation.

Every transcript excerpt (segment) includes two independent sources of evidence.
✔ Read the transcript
✔ Listen to the original audio
Reading alone can miss meaning.
Listening alone can miss detail.
Together they significantly improve confidence when confirming actions, decisions and commitments.
Before we close this meeting, I want to confirm that the client delivery date remains 15 August. The development team will complete testing by 5 August, allowing ten days for final validation and deployment. If there are any risks that could affect this timeline, please raise them today so we can update the plan accordingly.
Rather than asking users to review an entire transcript, AI-Transcript identifies areas requiring human attention, including:
Human reviewers spend time only where it matters most.