TICKET MANAGEMENT

Flag at-risk Zoom support calls and alert the team in Slack with the Zendesk ticket

Analyzes each completed Zoom support-call transcript for frustration and unresolved issues, and when sentiment is negative, posts a Slack alert with the recording, action items…

CategoryTicket Management
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom recording completedZoomZoom
  • ActionFetch transcript and match Zendesk ticketZoomZoom
  • ActionScore sentiment and extract action itemsOpenAI
  • LogicBranch on negative sentiment / unresolved
  • OutputPost at-risk alert to Slack with ticket linkSlack

What it does

Scores every recorded support call for customer frustration and resolution status. Calm, resolved calls are simply logged; calls that look like a churn or escalation risk trigger an immediate Slack alert so a lead can intervene before the customer stews.

When to use it

Use it when you want a sentiment safety net over live support calls. Ideal for teams handling high-value accounts where a single bad call can spiral, and you'd rather catch it the moment the recording lands than during a weekly QA review.

How it works

  1. 1Zoom fires the recording-completed event.
  2. 2Pull the transcript and match it to the Zendesk ticket by customer email or meeting topic.
  3. 3OpenAI scores sentiment, flags unresolved issues, and extracts action items.
  4. 4If sentiment is negative or the issue is unresolved, branch to the alert path; otherwise just attach a summary note to the ticket.
  5. 5Post a Slack alert to the support-leads channel with the risk reason, recording link, and Zendesk ticket URL.

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 ZendeskTickets, queues, knowledge base.
  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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