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Sales, Marketing & SupportAny

Resolve customer support tickets autonomously

The author built an autonomous support agent for a three-person team facing 847 waiting customers, reporting 500+ tickets a day and a 94% resolution rate (self-reported).

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Use case overview

The author built an autonomous support agent for a three-person team facing 847 waiting customers, reporting 500+ tickets a day and a 94% resolution rate (self-reported).

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Reported experience

  1. What they did

    After a 3 AM support system crash left 847 customers waiting, the author decided to build an agent to handle support autonomously for their three-person team. The readable part of the article is only the intro. The member-only paywall hides the architecture, tools, and any human oversight.

  2. How it went

    The author says that six months later the agent processes over 500 tickets daily with a 94% resolution rate, and claims this beats the human team. These figures are self-reported, and the readable text gives no evidence for them.

  3. Worth knowing

    The full blueprint is behind Medium's member-only paywall, so check the original for how it was built, and for costs and escalation handling, before copying it.

Example prompts

Try with Lindy
Act as first-line support for [company/product] using our help docs at [link or folder] and our ticket inbox [helpdesk or email]. For each new ticket, resolve it if the docs fully cover the answer, and otherwise tag it and escalate to [person or channel] with a summary. Before sending any reply or issuing refunds in the first week, show me the draft for approval, and report how many tickets you resolved versus escalated.

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