SALES

Executive Voice Alert for Large Closed-Won Deals

When a HubSpot deal closes above a revenue threshold, ElevenLabs narrates a concise executive brief and posts it to the leadership Slack channel.

CategorySales
Enginesim
Difficultybeginner
Triggerevent
Steps6
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerHubSpot deal enters Closed WonHubSpotHubSpot
  • LogicStop run if deal below revenue threshold
  • ActionFetch deal, owner, and companyHubSpotHubSpot
  • ActionDraft terse executive brief scriptOpenAI
  • ActionRender brief to short MP3ElevenLabsElevenLabs
  • OutputPost audio alert to leadership channelSlack

What it does

This watches for big wins only. When a deal closes above a set dollar threshold, it generates a crisp, exec-tuned audio brief and posts it to the leadership channel so founders and VPs hear material deals in real time. Deals under the threshold are filtered out so the channel stays signal-only.

When to use it

Use it when leadership wants instant awareness of strategic or whale deals without subscribing to every Closed Won event. Best for teams where a handful of large deals drive the quarter and executives want a spoken heads-up, not another dashboard.

How it works

  1. 1A HubSpot deal-stage-change webhook fires on Closed Won.
  2. 2A logic step checks the deal amount against the threshold and stops the run for anything below it.
  3. 3The flow pulls the deal, owner, and company details from HubSpot.
  4. 4OpenAI drafts a terse executive brief: account, value, strategic angle, and what it unlocks.
  5. 5ElevenLabs renders it to a short MP3 in an authoritative voice.
  6. 6The audio is posted to the leadership Slack channel with the deal value and owner tagged.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HubSpotCRM, deals, marketing, support.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect ElevenLabsText-to-speech, voice cloning.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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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