AI AGENTS

Daily Zoom Demo Objection Digest to Each Rep's Slack DM

Each morning, scans the prior day's Zoom demo recordings, extracts the top objections per rep.

CategoryAI Agents
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled weekday morning run
  • ActionList prior-day Zoom recordings and transcriptsZoomZoom
  • ActionExtract and group objections by repOpenAI
  • LogicFilter out reps with no demos; trim to top objections
  • ActionDraft a coached rebuttal per objectionOpenAI
  • OutputSend each rep a private Slack DM digestSlack

What it does

Delivers a personalized daily objection digest to every rep over Slack. Instead of waiting for a weekly review, reps get same-day feedback on the objections they encountered and a coached response for each, sent privately so it feels like a quiet nudge rather than a public scorecard.

When to use it

Use it when your team runs enough demos that manual review can't keep up, and you want a low-friction daily coaching loop that respects rep privacy. Great for fast-moving SDR/AE teams where yesterday's lessons should land before today's calls.

How it works

  1. 1A scheduled trigger runs each weekday morning.
  2. 2The flow lists Zoom recordings from the previous day and pulls their transcripts.
  3. 3An OpenAI step extracts objections per call and groups them by hosting rep.
  4. 4A filter drops reps with no demos and trims each rep's list to the highest-signal objections.
  5. 5For each rep, an LLM drafts a short, specific rebuttal suggestion.
  6. 6The workflow sends each rep a private Slack DM containing their objections and coached responses.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZoomMeetings, recordings, transcripts.
  2. 2
    Connect OpenAIModels, embeddings, files.
  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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