AI & RAG
Audit your answer corpus for stale or contradictory entries
Runs weekly to scan your past-answer corpus against current source-of-truth policies in Confluence, flags answers that are outdated or contradict policy.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly scheduled audit
- ActionLoad past-answer corpus
- ActionRetrieve current policy pages from ConfluenceConfluence
- ActionClassify answers as stale or contradictoryOpenAI
- LogicKeep only flagged entries
- OutputFile cleanup task per flagged answer in LinearLinear
What it does
Keeps the corpus that powers all your RFP answers trustworthy. On a schedule it compares each stored past answer against the current authoritative policy pages, detects answers that are stale, superseded, or directly contradicted by newer policy, and opens a tracked cleanup task for an owner to fix or retire each one.
When to use it
Use this if your answer library drifts over time and bad answers occasionally leak into customer-facing RFPs. Run it as ongoing hygiene so retrieval always pulls from accurate, current content rather than abandoned entries.
How it works
- 1A weekly schedule starts the audit.
- 2The full past-answer corpus is loaded for review.
- 3For each answer, the matching current policy pages are retrieved from Confluence.
- 4An LLM compares answer to policy and classifies each as current, stale, or contradictory with a short rationale.
- 5A branch keeps only flagged entries and drops the ones still accurate.
- 6A Linear issue is created per flagged answer with the rationale and a link to the conflicting policy for an owner to resolve.
Set it up
What you configure once, before turning it on.
- 1Connect ConfluenceSpaces, pages, blueprints.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect LinearIssues, projects, cycles, triage.
- 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.
Run this workflow in your colony.
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