AI & RAG
Keep the RFP Answer Corpus Fresh When Confluence Policies Change
When a policy page is updated in Confluence, re-indexes it for retrieval and flags any previously sent RFP answers that cited the now-changed source so they can be revisited.
How it runs
The automated pipeline, trigger to output.
- TriggerPolicy page updated in ConfluenceConfluence
- ActionRe-chunk and refresh retrieval index entry
- LogicFind prior answers citing this page
- ActionAssess material impact and summarize diffOpenAI
- OutputPost revisit notice to SlackSlack
What it does
Keeps your retrieval corpus honest. When an approved policy page changes in Confluence, it re-indexes the new content and identifies past questionnaire answers that quoted the old version, so stale claims don't keep going out in new RFPs.
When to use it
Use it when your security policies evolve and your RFP answers must reflect current controls. Essential for teams that reuse a question-and-answer library, where an outdated cited statement can become a compliance liability.
How it works
- 1A page-updated event fires from the Confluence policy space.
- 2The changed page is re-chunked and its retrieval index entry is refreshed.
- 3The system checks the answer-history log for prior answers that footnoted this page.
- 4The model assesses whether the edit materially changes those answers.
- 5Affected answers are flagged with a short diff summary.
- 6A revisit notice is posted to Slack so owners can re-validate before the next RFP reuse.
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 it inside a business
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