SUMMARIZATION

Daily voice-note rollup into an Attio pipeline digest

On a nightly schedule, gathers the day's field voice notes, transcribes and summarizes each, rolls them into a per-deal digest.

CategorySummarization
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNightly schedule after business hours
  • ActionCollect today's voice notes from DriveGoogle DriveGoogle Drive
  • ActionTranscribe each memo with ElevenLabsElevenLabsElevenLabs
  • ActionSummarize and group by dealOpenAI
  • ActionUpdate Attio deals with rollupAttio
  • OutputEmail pipeline digest to managerGmailGmail

What it does

Instead of processing voice notes one at a time, this workflow batches the whole day's recordings each night. It transcribes every memo, groups them by deal, summarizes movement on each opportunity, and writes a consolidated pipeline update to Attio so the morning standup has a clean picture of where every deal stands.

When to use it

Use it when you want a once-a-day pipeline pulse rather than real-time noise, and your reps record short memos throughout the day. Good for sales managers who run a morning review and want yesterday's field activity already digested.

How it works

  1. 1A nightly schedule fires after business hours.
  2. 2The workflow collects all voice notes added to cloud storage that day.
  3. 3ElevenLabs transcribes each recording in turn.
  4. 4OpenAI summarizes per memo and groups them by deal, noting stage changes and risks.
  5. 5The workflow updates each affected Attio deal with the rolled-up summary.
  6. 6A digest email goes to the sales manager listing every deal touched and what changed.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Google DriveDocs, sheets, slides, files.
  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
    Connect GmailRead, draft, send, label.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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