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For support teams

Know whether your AI is actually resolving tickets

Deflection rate tells you the assistant answered. It does not tell you the answer was right. Cloudmind measures the difference.

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What support leaders get

  • Escalation root cause

    Every escalated ticket links to the trace that produced the unhelpful answer.

  • Policy compliance checks

    Assert that the assistant never promises a refund amount or invents a policy.

  • Edit the copy yourself

    Change tone and wording in the Cloudmind editor. An engineer approves, no deploy.

  • CSAT correlation

    Join your survey scores back to the traces and prompt versions that generated them.

Frequently asked questions

How is this different from our helpdesk analytics?
Helpdesk analytics tell you how many tickets the assistant closed. They cannot tell you whether the answers were correct, because a wrong answer that the customer accepted still closes the ticket. Cloudmind grades the answer content itself.
Do I need engineering help to use this?
Engineering instruments the assistant once, which takes an afternoon. After that, support leads write rubrics, review failures and edit prompt copy without filing a ticket.

See what your assistant is really saying

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