Otter AI Chat answering questions across all your past meetings is the feature that changes what a meeting archive is worth

Asking Otter a question across all past conversations globally, not just within a specific meeting, and getting an answer with source attribution across your entire meeting history is a different tool from a searchable transcript archive. The difference between searching for a transcript and asking a question across all transcripts is the difference between retrieval and understanding.

The Collaborative Workspace for team-wide cross-meeting search is the enterprise knowledge management application. A team that can ask questions across all their collective meeting history rather than individually searching their own recordings has a shared institutional memory that accumulates in value as the archive grows.

The AI Meeting Agenda Generator creating agenda items from previous meeting content closes the loop between what was discussed before and what needs to be covered next.

For teams that have been using Otter for over a year: how often do you actually query old meeting content and has the AI Chat changed the frequency or the depth of those queries?