SALES

Alert sales managers in Slack when a discovery call surfaces a high-risk objection

Scans each completed Zoom discovery transcript for objection types and, when a deal-threatening objection like budget or competitor appears, posts a coaching alert to the rep's…

CategorySales
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom discovery transcript readyZoomZoom
  • ActionFetch transcript textZoomZoom
  • ActionTag objections with type and severityHugging FaceHugging Face
  • LogicPass only high-risk objections
  • OutputPost coaching alert to manager in SlackSlack

What it does

This workflow watches discovery-call transcripts and flags only the objections that put a deal at real risk, such as hard budget pushback or a named competitor. When one is detected, it sends the rep's manager a Slack message with the objection type, the verbatim quote, and a suggested coaching prompt, so coaching happens the same day the call occurs.

When to use it

Use it when you want managers to intervene early on at-risk deals without reading every transcript. It suits teams that already log calls but miss the window to coach before a deal stalls.

How it works

The flow triggers when a Zoom transcript is ready. It fetches the transcript and runs a Hugging Face classifier to tag objections by type and severity. A logic gate passes only objections marked high-risk; everything else exits quietly. For each passing objection, the flow resolves the rep's manager from a lookup and posts a threaded Slack alert to the manager's channel containing the deal name, the quote, and a recommended next step.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZoomMeetings, recordings, transcripts.
  2. 2
    Connect Hugging FaceModels, datasets, spaces — the open-source hub.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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