CUSTOMER SUPPORT

Build a narrated audio walkthrough for Intercom replies with ElevenLabs voiceover

Generates a spoken-narration how-to from an Intercom question using ElevenLabs voice synthesis, wraps it into a Loom-hosted walkthrough.

CategoryCustomer Support
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerIntercom conversation tagged narrate-videoIntercomIntercom
  • ActionFetch question + account detailsIntercomIntercom
  • ActionWrite spoken narration scriptOpenAI
  • ActionSynthesize voiceover with ElevenLabsElevenLabsElevenLabs
  • ActionAssemble narrated Loom walkthroughLoomLoom
  • OutputReply in Intercom with narrated videoIntercomIntercom

What it does

Produces a fully narrated walkthrough for accessibility-minded support teams. From a flagged Intercom question, it writes a clean script, synthesizes a natural-sounding voiceover with ElevenLabs, attaches that audio to a Loom screen walkthrough, and replies in-thread with the narrated video.

When to use it

Use it when your audience benefits from spoken guidance over silent screen captures, for example onboarding non-technical customers, supporting users with reading difficulties, or maintaining a consistent brand voice across all video replies.

How it works

  1. 1An Intercom conversation tagged `narrate-video` fires the trigger.
  2. 2The flow fetches the question and relevant account details from Intercom.
  3. 3An LLM step produces a concise, spoken-style narration script.
  4. 4An ElevenLabs action converts the script into a branded voiceover audio file.
  5. 5A Loom action assembles the screen walkthrough with the synthesized narration and returns a video URL.
  6. 6The final step posts the narrated Loom link back into the Intercom conversation.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect IntercomConversations, contacts, articles.
  2. 2
    Connect ElevenLabsText-to-speech, voice cloning.
  3. 3
    Connect LoomVideo transcripts, libraries.
  4. 4
    Connect OpenAIModels, embeddings, files.
  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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