AI & RAG
Confluence Space Staleness Auditor
Runs weekly across one Confluence team space, uses OpenAI to flag pages that are outdated, contradictory, or unanswerable, and posts a prioritized cleanup report to the team…
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires
- ActionList and fetch all pages in the team spaceConfluence
- ActionScore staleness and contradictions via OpenAIOpenAI
- LogicKeep above-threshold pages and rank by severity
- OutputPost prioritized cleanup report to SlackSlack
What it does
Keeps a single Confluence space trustworthy as a RAG source. On a schedule it pulls every page in the team space, has OpenAI assess each for staleness signals (old dates, deprecated terms, broken instructions) and contradictions against newer pages, then compiles a ranked list of pages needing attention. The report is delivered to your team's Slack channel so knowledge debt stays visible.
When to use it
Use it when an answer bot only feels as reliable as its underlying space. Running this weekly catches rot before it produces wrong answers, and gives owners a concrete cleanup queue.
How it works
- 1A weekly schedule triggers the flow.
- 2The flow lists and fetches all pages in the configured Confluence space.
- 3OpenAI scores each page for staleness and cross-page contradiction.
- 4A logic step keeps only pages above the attention threshold and sorts by severity.
- 5A formatted audit report with page links is posted to the Slack channel.
Set it up
What you configure once, before turning it on.
- 1Connect ConfluenceSpaces, pages, blueprints.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 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 this workflow in your colony.
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