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Answer customer support conversations with a Zendesk agent

A Zendesk AI Agent autonomously handles over 2,000 monthly product-question conversations for a client, letting three support staff move into sales.

Time saved
Not reported
Setup time
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Running cost
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Cost range
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Use case overview

A Zendesk AI Agent autonomously handles over 2,000 monthly product-question conversations for a client, letting three support staff move into sales.

Reported experience

  1. What they did

    Gravity CX deployed a Zendesk AI Agent for The Bart Group that answers product questions and helps customers find answers on their own, with no human in the loop. It sits in the autonomous-deflection phase of a four-phase rollout. Earlier phases used summaries, triage and human-approved drafts to build trust before autonomy.

  2. How it went

    The agent handles more than 2,000 conversations a month. Three full-time support staff moved into sales roles, and nobody was replaced. The source gives no accuracy or satisfaction figures for this client.

  3. Worth knowing

    The author says to budget for a dedicated person to own and tune the AI, and to keep the knowledge base as text-based help articles, because rollouts without an owner degrade.

Example prompts

Try with Zapier Agents
Build a support agent that reads new tickets in [Zendesk or help desk] and answers common questions about [product] using [help center URL or doc folder]. It should reply only when it's confident, and hand off anything about [billing, refunds, complaints] to a human with a summary. Run it in draft mode first so I can review replies before it sends any.