TICKET MANAGEMENT
Archive Zoom support recordings to R2 and log a searchable action-item index per Zendesk ticket
Downloads each completed Zoom support recording to R2 cold storage, writes a row of extracted action items and metadata to Postgres keyed by Zendesk ticket.
How it runs
The automated pipeline, trigger to output.
- TriggerZoom recording completedZoom
- ActionDownload recording and transcriptZoom
- ActionUpload recording to R2 archiveCloudflare R2
- ActionExtract action items and metadataOpenAI
- ActionInsert indexed row into PostgresPostgres
- OutputNote archive link on Zendesk ticketZendesk
What it does
Builds a durable, searchable archive of support calls. Each recording is copied off Zoom into your own R2 bucket, its action items and metadata are written to a Postgres index keyed by the Zendesk ticket, and the ticket gets a permanent archive link. The result is a queryable record that survives Zoom's retention window.
When to use it
Use it when compliance, retention, or analytics needs outlast Zoom's auto-delete policy, or when you want to run SQL across call action items ("every call that promised a refund last quarter"). Good for regulated teams and ops leads who report on call outcomes.
How it works
- 1Zoom fires the recording-completed event.
- 2Download the recording file and transcript from Zoom.
- 3Upload the recording to an R2 bucket with a ticket-scoped object key.
- 4OpenAI extracts action items and structured metadata from the transcript.
- 5Insert a row into Postgres linking the Zendesk ticket ID, R2 URL, and action items.
- 6Post the durable archive link as an internal note on the Zendesk ticket.
Set it up
What you configure once, before turning it on.
- 1Connect ZoomMeetings, recordings, transcripts.
- 2Connect Cloudflare R2Object storage, S3-compatible.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect PostgresAny Postgres URL — query, write, migrate.
- 5Connect ZendeskTickets, queues, knowledge base.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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