CUSTOMER SUPPORT
Log resolved Front conversations to a Notion knowledge base
When a Front conversation is archived or marked resolved, generate a problem-and-resolution summary and append it as a row in a Notion knowledge base so future agents can search…
How it runs
The automated pipeline, trigger to output.
- TriggerFront conversation resolvedFront
- ActionFetch full threadFront
- ActionExtract problem and resolutionOpenAI
- LogicSkip trivial conversations
- OutputAppend entry to Notion KBNotion
What it does
When a Front conversation is resolved, this workflow distills the thread into a reusable knowledge entry — the problem, root cause, and the resolution that worked — and writes it to a Notion database. Over time this builds a searchable history of how real issues were solved.
When to use it
Run it on inboxes where the same questions recur and tribal knowledge lives in agents' heads. It converts every closed ticket into a self-service answer for the next person.
How it works
- 1Front fires a `conversation archived` (resolved) event.
- 2The workflow pulls the full thread from Front.
- 3An OpenAI call extracts a structured entry: problem statement, category, root cause, and resolution steps.
- 4A skip rule drops conversations too short to be useful (e.g., one-line acknowledgements).
- 5The workflow creates a new page in the Notion knowledge-base database with those fields plus a link to the original Front conversation.
Set it up
What you configure once, before turning it on.
- 1Connect FrontShared inbox, conversations.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect NotionPages, databases, comments.
- 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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