Catch upset customers your support agent misreads

Have people check tone and intent before an AI support agent closes, refunds or escalates a ticket.

How it works for this decision

Your agent sends

{
  "question": "Is this customer upset?",
  "context": "Wow. Ordered a birthday cake, it showed up a day late and smashed. Amazing service, really.",
  "options": [
    "Yes",
    "No"
  ],
  "verifiers": 3
}

A verified person sees

Task$0.05

Is this customer upset?

Wow. Ordered a birthday cake, it showed up a day late and smashed. Amazing service, really.

You get back

{
  "answer": "Yes",
  "agreement": 1,
  "answers": 3,
  "votes": {
    "Yes": 3,
    "No": 0
  }
}

The result shown is an example. Try answering the task yourself.

Why a human check

AI support agents read sarcasm, mixed feelings and indirect complaints poorly. A message like "Amazing service, really" can be scored as happy, and the agent closes a ticket it should have escalated.

People read tone instantly. Sending only the uncertain or high value tickets to verified people keeps the agent fast where it is sure and accurate where it isn't.

Send tickets where the model's confidence is low or the customer's value is high.
Use agreement as a gate: act automatically at 1, route to your own team below your threshold.
Pass the ticket id in metadata so the webhook can resume the right conversation.

Questions

Which tickets should go to people?

Usually the ones where a wrong call is costly: low model confidence, refunds, cancellations, VIP customers or legal sounding language.

Will customers see Plures?

No. Plures answers your agent, and your agent replies to the customer as usual.

How do I start?

Get a free test key at plures.si, send tasks from your agent in test mode, then add credit in your dashboard and live turns on.