OTHER

Classify Zoom Q&A intent with AI and route high-intent askers to sales in Outlook

Reads the Q&A transcript from a Zoom webinar, uses OpenAI to flag buying-intent questions.

CategoryOther
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom webinar.ended event receivedZoomZoom
  • ActionFetch Q&A report with asker emailsZoomZoom
  • ActionClassify question intent and draft opener with OpenAIOpenAI
  • LogicBranch high-intent askers from general questions
  • ActionSend personalized sales email to high-intent askersOutlook
  • OutputLog all intent classifications to AirtableAirtableAirtable

What it does

The questions people ask in a webinar are the loudest engagement signal there is. This workflow takes the Zoom Q&A log, runs each question through OpenAI to classify intent (buying signal, pricing, objection, or general curiosity), and routes high-intent askers to a personalized sales reach-out in Outlook that references their actual question.

When to use it

Use it when your webinars generate real Q&A volume and you want reps spending time only on the people who signaled purchase intent in their own words — not on the whole list.

How it works

  1. 1Zoom `webinar.ended` event starts the run.
  2. 2The flow fetches the Q&A report, pairing each question with the asker's email.
  3. 3OpenAI classifies each question's intent and drafts a one-line personalized opener.
  4. 4A branch separates high-intent askers from general questions.
  5. 5High-intent askers get a tailored Outlook email quoting their question and offering a call.
  6. 6All classifications are written to Airtable so general-interest askers stay in the nurture pool.

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 OutlookMail, calendar, contacts.
  4. 4
    Connect AirtableBases, tables, views, automations.
  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.

Run this workflow in your colony.

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