Term
AI Meeting Assistants
AI meeting assistants are software tools that automatically record, transcribe, summarize online meetings and derive action items from them. Well-known examples include Otter, Fireflies, Fathom and Microsoft Copilot in Teams.
AI Meeting Assistants — explained in detail
AI meeting assistants are applications that join virtual meetings on platforms such as Zoom, Google Meet or Microsoft Teams and process the conversation automatically. They typically combine three steps: recording the conversation, converting it into text, and refining that text with a language model.
The first step is automatic transcription. Spoken language is turned into continuous text using speech-to-text, often with speaker attribution. In the second step, a language model produces a structured summary from the transcript, highlights key decisions, and extracts tasks, so-called action items, along with possible owners and deadlines.
Common tools include Otter, which offers a searchable history and a question-and-answer feature over past meetings, Fireflies with broad CRM integration, Fathom with free, unlimited recording, and Microsoft Copilot, which is built directly into Microsoft Teams and requires licenses from the Microsoft 365 environment. Independent tests report transcription accuracy in the range of roughly 90 to 95 percent, depending on audio quality and language.
When using such tools, data protection and consent are relevant: participants should be informed about the recording, and it is worth checking where the data is processed and stored.
Example / Practical context
A distributed project team holds a weekly sync over Microsoft Teams. An AI meeting assistant joins, transcribes the conversation and automatically creates a summary afterwards. From the discussion the tool derives three tasks, assigns them to the respective people, and shares them together with the transcript with everyone involved. Members who could not attend read the summary instead of the full recording and thus save time.
Distinction from similar terms
AI meeting assistants are application-oriented tools and should not be equated with the underlying technology. The pure conversion of speech into text is described by the term Speech-to-Text; a meeting assistant uses this technology as one of several building blocks.
The summarization and task extraction is handled by an LLM, that is, a large language model. A meeting assistant is therefore a concrete product category that bundles transcription and a language model into a workflow tailored to meetings.
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