Nightly extraction
Every night, resolved conversations are reviewed to extract generalised question-and-answer pairs, personal data masked, with the original conversation as the source.
You do not write a knowledge base: you review the one your resolved conversations already contain. Every night, 0seat extracts candidate entries from them; your team decides what gets in.
The answers exist, scattered across thousands of closed conversations. Writing them by hand takes weeks, and the base goes stale the next day. Meanwhile, the same questions keep coming.
Every night, resolved conversations are reviewed to extract generalised question-and-answer pairs, personal data masked, with the original conversation as the source.
Every entry waits in a queue. A team member approves, edits or rejects it. No entry is used before that.
Your inbox’s predefined replies come in as candidates, to be reviewed like any other.

One night after connecting, or a few minutes with a manual run. The number of entries depends on your resolved history.
Personal data is masked before extraction, and entries are generalised. You review every entry before it is used.
Yes, at any time from the console. The edited version is used as soon as it is saved.
It is never used. The rejection is kept; if a similar answer comes back in the history, it goes before a reviewer again, flagged as close to a rejected entry.
Connect an inbox, approve the suggested knowledge base, and get your first prepared replies.
The draft arrives as a private note with the knowledge base entries behind it. The agent sends, edits or discards it. Below the threshold, no reply.
Money, disputes, cancellations, a request for a person, a second follow-up, an answer missing from the base: an agent takes over, whatever the mode.
The real cost of every model call, per conversation, in the console. A monthly cap per space, checked before each call.