SUMMARIZATION
Nightly batch-chapter yesterday's Zoom recordings into Confluence
On a nightly schedule, this workflow lists the prior day's Zoom recordings, chapters each transcript with AI.
How it runs
The automated pipeline, trigger to output.
- TriggerNightly schedule
- ActionList yesterday's Zoom recordingsZoom
- ActionChapter each transcript with summaryOpenAI
- LogicSkip recordings already published
- OutputPublish chapter index pages to ConfluenceConfluence
What it does
Runs once a night and catches up on every Zoom recording from the previous day, producing a Confluence page per meeting with a timestamped chapter index and summary. It backfills the whole day in one pass rather than reacting call by call.
When to use it
Best for documentation-heavy orgs that centralize meeting notes in Confluence and prefer a predictable nightly job over per-event automation — for example, engineering teams archiving design reviews or PMO recording governance meetings.
How it works
- 1A nightly schedule triggers the run after business hours.
- 2The flow queries Zoom for all cloud recordings from the previous day and loops over them.
- 3For each recording, OpenAI chapters the transcript into timestamped sections with a meeting summary.
- 4A logic step checks whether a Confluence page already exists for that recording to avoid duplicates.
- 5New chaptered indexes are published as pages in the target Confluence space.
Set it up
What you configure once, before turning it on.
- 1Connect ZoomMeetings, recordings, transcripts.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect ConfluenceSpaces, pages, blueprints.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, 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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