CHATBOTS

Spoken welcome clip for new accessibility-mode Intercom contacts

When a visitor enables accessibility mode for the first time, this sends a personalized ElevenLabs voice welcome that explains how the voice bot works and what they can ask.

CategoryChatbots
Enginesim
Difficultybeginner
Triggerevent
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerIntercom attribute change: accessibility_mode = trueIntercomIntercom
  • LogicBranch: skip if welcome already sent
  • ActionPersonalize welcome script with OpenAIOpenAI
  • ActionSynthesize greeting with ElevenLabsElevenLabsElevenLabs
  • OutputPost welcome audio and set sent flag in IntercomIntercomIntercom

What it does

The first time someone switches on accessibility mode, they get a friendly spoken introduction instead of a wall of onboarding text. The clip greets them by name, explains that replies will come as audio, and lists a few example questions they can ask.

When to use it

Use it to set expectations the moment voice mode is turned on, reducing confusion and abandoned conversations. It runs once per contact rather than on every message, so it complements a separate answer bot.

How it works

  1. 1An Intercom webhook fires when the `accessibility_mode` contact attribute changes to true.
  2. 2A logic step checks a `welcome_voice_sent` flag so returning visitors are not greeted twice.
  3. 3OpenAI fills a short welcome script template with the contact's first name and plan tier.
  4. 4ElevenLabs synthesizes the greeting in your brand voice.
  5. 5The output step posts the welcome audio as the conversation's first message and sets `welcome_voice_sent` on the contact.

Set it up

What you configure once, before turning it on.

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

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