your support tickets already wrote the docs.

Ingest — every conversation, captured

Connect Zendesk and every support conversation syncs in automatically. Everything else — Telegram, Slack, an internal tool — feeds in through the ingest API: platforms like Telegram don't allow a hosted service to read your chats, so a small collector runs on your side and replays them into the API with a source-bound key. An AI coding agent can build that collector in a sitting — the docs include a ready-made prompt describing the one we run ourselves.

Mine — real questions become draft solutions

MyAISE clusters conversations by the underlying question and drafts one solution per cluster — folding new conversations into existing solutions instead of drafting duplicates. The result is a living set of answers shaped by what customers actually ask, not what a docs team guessed they'd ask.

The privacy boundary

Raw tickets stay quarantined. Names, emails, account details — none of it can reach an answer, because a solution must pass sanitization and then explicit human approval before it is ever served. Nothing one customer wrote is shown to another.

Curate — a human approves every solution

The curation dashboard shows every drafted solution beside its source conversations. Approve, edit, or reject — nothing serves without a human decision.

This is what the AI SE is anchored in

When a prospect asks for a demo — or a customer asks a question — the AI answers from this curated base plus your real screens, which is exactly why it doesn't hallucinate. Better tickets in, better demos and answers out. Meet the AI SE · meet it after the sale.