CRM

Log Call Summaries to Pipeline Deals in Airtable

On a schedule, pulls the day's completed Zoom calls, summarizes each transcript, and appends a structured call log row to the matching deal in an Airtable pipeline so every deal…

CategoryCRM
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled evening run
  • ActionList Zoom recordings completed todayZoomZoom
  • ActionSummarize each transcript with LLMOpenAI
  • LogicMatch each call to an Airtable deal rowAirtableAirtable
  • ActionAppend call-log row to the dealAirtableAirtable
  • OutputPost end-of-day digest to SlackSlack

What it does

Batches the day's sales calls into clean summary entries on an Airtable pipeline. For each completed Zoom call it summarizes the transcript into outcome, topics, and next step, then appends a timestamped row to the matching deal record, building a chronological call history per deal.

When to use it

Use it when your pipeline lives in Airtable rather than a heavyweight CRM and you want a low-touch end-of-day digest instead of real-time webhooks. Good for small teams who review pipeline in a daily standup.

How it works

  1. 1A scheduled trigger runs each evening.
  2. 2The flow lists Zoom cloud recordings completed that day.
  3. 3For each call, an OpenAI step summarizes the transcript into outcome, topics, and next step.
  4. 4A logic step matches each call's host or attendee to a deal row in Airtable.
  5. 5A structured call-log row is appended to the matched deal.
  6. 6An end-of-day digest is posted to Slack summarizing calls logged and any unmatched ones.

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 AirtableBases, tables, views, automations.
  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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