CHATBOTS

Voice IVR sentiment escalation to PagerDuty for at-risk callers

Scores caller sentiment on each ElevenLabs voice call, and when frustration or churn-risk language is detected.

CategoryChatbots
Enginesim
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerElevenLabs posts call event webhookElevenLabsElevenLabs
  • ActionScore sentiment with OpenAIOpenAI
  • LogicBranch when frustration/churn risk crosses threshold
  • ActionTrigger PagerDuty incident for on-call managerPagerDutyPagerDuty
  • OutputOpen high-priority Zendesk ticket with transcriptZendeskZendesk

What it does

Catches the calls you can't afford to mishandle. The flow analyzes sentiment from the voice transcript and, when a caller is angry or signaling cancellation, escalates in real time to a human rather than letting the bot keep deflecting.

When to use it

Use it on high-value or retention-sensitive lines where a bad automated experience is worse than no automation. It lets the voice agent handle routine calls while guaranteeing humans intercept the emotionally charged ones fast.

How it works

  1. 1The ElevenLabs agent posts a call event webhook carrying the transcript and turn-by-turn text.
  2. 2An OpenAI step scores sentiment and detects frustration or churn-risk phrasing.
  3. 3A logic step branches when sentiment crosses the alert threshold.
  4. 4Flagged calls trigger a PagerDuty incident routed to the on-call support manager.
  5. 5A high-priority Zendesk ticket is created with the transcript and sentiment summary for follow-up.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ElevenLabsText-to-speech, voice cloning.
  2. 2
    Connect HTTP webhookTrigger any URL on agent actions.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect PagerDutyIncidents, on-call, escalations.
  5. 5
    Connect ZendeskTickets, queues, knowledge base.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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