AI Meeting Assistants

AI meeting assistants — also called AI notetakers or meeting intelligence tools — are applications that capture a conversation, convert it to text and produce a structured record of what was said and what must happen next. They typically generate a transcript, a summary, a list of decisions and action items, and a searchable archive across many meetings.^[1]

Overview

Most products work in one of two ways. A bot-based assistant is invited to a video call as a participant and records the audio from the platform itself, while a local or desktop recorder captures audio on the participant's own device for in-person conversations and calls the bot cannot join.

Behind the interface the pipeline is consistent: automatic speech recognition (ASR) converts audio to text, speaker diarisation attributes utterances to individuals, and a large language model condenses the transcript into a summary, extracts decisions and owners, and answers follow-up questions. Otter, for example, transcribes live during the call and lets team members query months of stored meetings with answers cited back to the transcript.^[1] Fireflies markets transcription in more than 100 languages with speaker recognition and automatic language detection, claiming around 95% accuracy, and routes summaries into customer relationship management and applicant tracking systems.^[2]

Products differ mainly in speed and emphasis. Independent comparisons note that Fathom^[4] delivers a summary within one to two minutes of a call ending, Fireflies typically completes a transcript in three to five minutes, and Otter transcribes in real time so participants can correct the record while the meeting is still running.^[3]

Applications and Impact

Common uses include internal stand-ups and project meetings, where notes are shared rather than assigned; sales calls, where transcripts feed CRM records and coaching; interviews and research, where verbatim records matter; and customer support review, where recurring issues are tracked across calls. The broader impact is the conversion of meetings from ephemeral events into retrievable organisational memory — searchable text that can be queried, summarised across a quarter and handed to other tools.

The technology is also contested. Participants who did not know a bot was present may be recorded without meaningful consent, audio retention policies vary between vendors, and "AI notetaker" behaviour in client meetings has become a common complaint in professional settings. Responsible deployments therefore announce recording, obtain agreement from participants and set retention limits.

>See Also

• Speech Recognition
• Natural Language Processing
• PDPA AI Compliance
• Text-to-Speech
• AI in Malaysian SMEs