SALES

Batch yesterday's closed discovery calls into Loom recaps each morning

Every weekday morning, Hive finds discovery calls closed the prior day, generates a Loom recap for each, sends them to prospects.

CategorySales
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekday morning schedule
  • ActionQuery yesterday's closed discovery callsSalesforce
  • ActionDraft and narrate per-call recapElevenLabsElevenLabs
  • ActionGenerate Loom recap per prospectLoomLoom
  • ActionEmail each prospect their Loom linkGmailGmail
  • OutputPost completion digest to SlackSlack

What it does

Instead of firing per-call, this workflow runs once each morning, sweeps up every discovery call closed the previous day, and produces a Loom recap for each prospect in one batch. It finishes with a single digest so managers see all recaps that went out.

When to use it

Use this when you prefer a predictable daily cadence over real-time sends, or when reps wrap up CRM notes at end of day and you want recaps to go out clean the next morning rather than mid-edit.

How it works

  1. 1A weekday-morning schedule triggers the run.
  2. 2Hive queries Salesforce for opportunities closed to discovery the prior day.
  3. 3For each, an LLM drafts a recap script and ElevenLabs narrates it.
  4. 4Loom generates a personalized recap video per prospect.
  5. 5Gmail emails each prospect their Loom link individually.
  6. 6A consolidated digest of all recaps sent is posted to the sales Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SalesforceAccounts, opportunities, cases.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect ElevenLabsText-to-speech, voice cloning.
  4. 4
    Connect LoomVideo transcripts, libraries.
  5. 5
    Connect GmailRead, draft, send, label.
  6. 6
    Connect SlackChannels, DMs, threads, mentions.
  7. 7
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  8. 8
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  9. 9
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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