OTHER

Slack voice clip to Attio follow-up tasks

When a rep posts a voice clip in a Slack channel, transcribes it, detects committed follow-ups.

CategoryOther
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerVoice clip posted in Slack channelSlack
  • ActionTranscribe clip with ElevenLabsElevenLabsElevenLabs
  • ActionExtract action items and due datesOpenAI
  • LogicFilter to real commitments only
  • ActionCreate follow-up tasks in AttioAttio
  • OutputReply in Slack thread with task summarySlack

What it does

Reps drop a voice clip into a dedicated Slack channel after a call. The workflow transcribes the clip, identifies any commitments or follow-ups the rep mentioned ("send pricing by Friday", "loop in their legal team"), and turns each into a task on the matching Attio record with a due date.

When to use it

Use it when your team already lives in Slack and you want spoken commitments captured as trackable tasks instead of getting lost in scrollback. Ideal for fast-moving sales pods where follow-through is the difference between won and stalled deals.

How it works

  1. 1A voice clip posted in the designated Slack channel triggers the run.
  2. 2ElevenLabs transcribes the audio.
  3. 3OpenAI parses the transcript into discrete action items, each with an owner, description, and relative due date.
  4. 4A logic step filters out items with no clear action so only real commitments proceed.
  5. 5The workflow resolves the related Attio company and person from the clip context.
  6. 6It creates one Attio task per action item with resolved due dates.
  7. 7A confirmation reply is posted back in the Slack thread listing the tasks created.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SlackChannels, DMs, threads, mentions.
  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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