An AI meeting summary is the automatic analysis of what was said in a meeting, compiled into decisions, action items and owners. In Slizer, when a meeting ends, Slizer AI processes the conversation and gives the team a readable summary: which topics were covered, which decisions were made, and what is expected from whom. Team members who could not attend get up to speed in minutes by reading the summary instead of listening to the whole recording.
Having one person take notes throughout a meeting means that person cannot fully take part in the discussion. Notes often go untidied, unshared, or end up in a personal file. An automatic summary removes that effort entirely while guaranteeing the output reaches the whole team.
Action items that come out of a meeting summary can be turned into task cards on the Slizer Kanban board. That way a piece of work discussed in a meeting does not evaporate when the meeting ends; it lands on the board with an owner and a due date and enters the normal work tracking flow.
The summary is available in your workspace shortly after the meeting ends, and the relevant participants are notified.
Slizer supports video, audio and in-person meeting types. For in-person meetings you can add the recording and agenda to the workspace and use the same structure.
Meetings are summarized in the language they were held in, with decisions listed as points in that same language.
Explore what else Slizer can do.
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