SALES

Turn an inbound demo-request reply into a tailored Loom script

When a prospect replies asking for a demo or pricing, parses the email, enriches the sender against HubSpot, drafts a Loom script answering their specific question.

CategorySales
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerInbound email to sales inboxGmailGmail
  • LogicClassify demo/pricing intentOpenAI
  • ActionEnrich sender from HubSpotHubSpotHubSpot
  • ActionDraft tailored Loom scriptOpenAI
  • ActionCreate Loom recording linkLoomLoom
  • OutputNotify rep in TeamsMicrosoft Teams

What it does

This workflow watches an inbound sales inbox for replies signaling demo or pricing interest. It reads the message, looks up the sender in HubSpot for company and deal context, and uses that plus the question they actually asked to draft a focused Loom script answering it directly. The rep is notified in Microsoft Teams with the script, the prospect's context, and a Loom recording link so they can respond personally within minutes.

When to use it

Use it when speed-to-lead matters and you want demo-intent replies answered with a personal video rather than a generic deck. It captures the question while it is fresh.

How it works

  1. 1A Gmail trigger fires on new inbound messages to the monitored sales address.
  2. 2OpenAI classifies whether the reply expresses demo or pricing intent; non-matching mail is ignored.
  3. 3The sender email is enriched against HubSpot for company, deal, and stage.
  4. 4OpenAI drafts a Loom script answering the specific question using the enriched context.
  5. 5A Loom recording link is created.
  6. 6The assigned rep gets a Microsoft Teams message with context, script, and Loom link.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GmailRead, draft, send, label.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect HubSpotCRM, deals, marketing, support.
  4. 4
    Connect LoomVideo transcripts, libraries.
  5. 5
    Connect Microsoft TeamsChannels, chats, files.
  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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