AI Support Agent
Triages tickets and drafts grounded answers.
A support AI agent sits on top of your ticket queue: it reads each issue, drafts an answer from your documentation, and escalates anything it isn't sure about. LiminaHub keeps it safe — it starts read-only, grounds every answer in real sources, and never closes a ticket you didn't approve.
What it handles
- Reads and categorizes incoming tickets
- Drafts answers grounded in your help docs and past resolutions
- Escalates edge cases and unhappy customers to you
- Spots recurring issues worth a doc or a fix
- Reports on volume, response time, and top topics
Tools it uses
- Gmail
- Notion
- Linear
How the ai support agent works
- 1Connect your ticket queue and docs — read-only to start.
- 2It reads each ticket and drafts a grounded answer.
- 3Simple ones it prepares for one-tap send; hard ones it escalates.
- 4You approve, and it flags patterns worth fixing at the source.
In practice
A spike you didn't see coming
Ten tickets come in about the same broken link. The agent recognizes the pattern, drafts the same fix-reply for each, and flags the root cause to you in one note — so you fix the link once instead of answering ten times.
Questions
How is this different from a chatbot?
A chatbot answers in a widget. This agent works your actual ticket queue — reading, drafting grounded replies, and escalating — with a human approving what goes out.
Can it make things worse?
It starts read-only and grounds answers in your real docs, so it can't invent policy or send without approval until you decide to let it.
Related agents
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