CHATBOTS

Voice-reply relay for any chat widget via webhook into Intercom

Accepts visitor messages from a custom or third-party chat widget over a webhook, generates an OpenAI answer, voices it with ElevenLabs.

CategoryChatbots
Enginesim
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerHTTP webhook from external chat widgetHTTP webhook
  • LogicValidate payload and check accessibility flag
  • ActionGenerate answer with OpenAIOpenAI
  • ActionVoice the answer with ElevenLabsElevenLabsElevenLabs
  • OutputMirror exchange into Intercom and return audio URLIntercomIntercom

What it does

This bridges a chat surface that is not natively Intercom (a custom site widget, kiosk, or partner app) into spoken support. The widget posts the visitor message to a webhook; the workflow answers it as audio and mirrors the whole exchange into Intercom so your team has one inbox of record.

When to use it

Use it when accessibility-mode visitors interact through a surface you control directly but you still want Intercom as the system of record and ElevenLabs voice as the reply format. Good for embedded kiosks or non-Intercom storefronts.

How it works

  1. 1An HTTP webhook receives the visitor message, an accessibility flag, and a session id from the external widget.
  2. 2A logic step validates the payload and ignores requests where the accessibility flag is false.
  3. 3OpenAI produces a concise spoken-style answer.
  4. 4ElevenLabs converts the answer to an audio clip and returns a hosted URL.
  5. 5The output step creates or updates the matching Intercom conversation with the visitor text, the answer, and the audio attachment, then returns the audio URL in the webhook response for the widget to play.

Set it up

What you configure once, before turning it on.

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

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