CUSTOMER SUPPORT
Draft KB-grounded Front replies from your Notion help center
Pulls answers from your Notion knowledge base to draft a sourced, accurate reply to each Front question, citing the articles used so agents can verify before sending.
How it runs
The automated pipeline, trigger to output.
- TriggerNew question in Front inboxFront
- ActionExtract search terms with OpenAIOpenAI
- ActionSearch Notion knowledge baseNotion
- ActionDraft grounded reply citing sourcesOpenAI
- OutputAttach sourced draft in FrontFront
What it does
When a how-to or product question hits your Front inbox, this searches your Notion help center, grounds the answer in the most relevant articles, and writes a draft reply that quotes the right facts. The draft includes the source article links so the reviewing agent can confirm accuracy and the customer gets a correct, non-hallucinated answer.
When to use it
Use it when answers must come from documented policy or product behavior, not the model's guesswork. Ideal for teams whose source of truth lives in Notion and who can't risk a confidently wrong reply going out. Pairs well with a large, frequently updated help center.
How it works
- 1A new question arrives in the Front inbox and triggers the flow.
- 2OpenAI extracts the core question and search terms from the thread.
- 3The Notion knowledge base is searched and the top matching articles are retrieved.
- 4OpenAI drafts a reply grounded strictly in the retrieved content, refusing to answer if no source matches.
- 5The draft, with cited article links, is attached to the Front conversation for agent review.
Set it up
What you configure once, before turning it on.
- 1Connect FrontShared inbox, conversations.
- 2Connect NotionPages, databases, comments.
- 3Connect OpenAIModels, embeddings, files.
- 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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