SUMMARIZATION
Maintain a Confluence decision registry and flag contradicting decisions
An agent extracts decisions from resolved Front threads, searches the existing Confluence decision registry for related prior decisions.
How it runs
The automated pipeline, trigger to output.
- TriggerFront conversation resolvedFront
- ActionExtract decision and subject areaOpenAI
- ActionSearch Confluence registry for prior decisionsConfluence
- LogicClassify as new, superseding, or conflicting
- OutputAppend to Confluence and alert Slack on conflictConfluence
What it does
Keeps a Confluence decision registry coherent over time. When a Front thread resolves, an agent extracts the decision, then searches the registry for any earlier decision on the same subject. If the new decision contradicts or supersedes an old one, it links them and flags the conflict for review rather than silently appending a duplicate.
When to use it
Use it when decisions accumulate and start to contradict each other — pricing terms, policy exceptions, or SLA promises that drift across threads. The conflict check prevents the registry from becoming a pile of stale, mutually inconsistent entries. Best for teams that treat Confluence as the source of truth.
How it works
- 1A Front conversation resolves, firing the trigger.
- 2The agent reads the full thread and extracts the decision and its subject area.
- 3It searches the Confluence registry for prior decisions on the same subject.
- 4A reasoning step compares the new decision against matches and classifies it as new, superseding, or conflicting.
- 5The agent appends the new entry to Confluence, links related decisions, and posts a Slack alert when a conflict needs human review.
Set it up
What you configure once, before turning it on.
- 1Connect FrontShared inbox, conversations.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect ConfluenceSpaces, pages, blueprints.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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