CRM

Mobile voice notes transcribed, summarized, and synced to Attio with follow-ups

Receives a voice note via webhook, transcribes it with ElevenLabs, uses an agent to extract next steps and sentiment.

CategoryCRM
EngineSim + Paperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerVoice note posted to webhookHTTP webhook
  • ActionTranscribe audio with ElevenLabsElevenLabsElevenLabs
  • ActionExtract summary, sentiment, next stepsOpenAI
  • ActionAppend summary to matching Attio recordAttio
  • OutputCreate follow-up task on Attio recordAttio

What it does

A mobile shortcut or recorder posts a voice note to a webhook. ElevenLabs transcribes it, then an agent reads the transcript to pull out a short summary, the deal sentiment, and any committed next steps. All of that is written to the matching Attio person or deal record, and any next step becomes a dated follow-up task.

When to use it

Use it when raw transcripts aren't enough and you want structured intelligence from each call: what happened, how it felt, and what's owed. Good for relationship-led sales teams running on Attio.

How it works

  1. 1A voice note arrives at the HTTP webhook endpoint and triggers the run.
  2. 2The audio payload is transcribed by ElevenLabs.
  3. 3An agent step extracts a summary, sentiment, and explicit next steps from the transcript.
  4. 4The workflow resolves the Attio record from the caller metadata and appends the summary note.
  5. 5If a next step exists, a follow-up task is created on that Attio record.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect ElevenLabsText-to-speech, voice cloning.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect AttioReal-time CRM with structured data + powerful views.
  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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