CHATBOTS

Intercom Onboarding Concierge: Answer Setup Questions from Product Docs

When a new user asks a setup question in Intercom, the agent searches your product docs and replies in-thread with a grounded, step-by-step answer plus a link to the source page.

CategoryChatbots
Enginepaperclip
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew Intercom conversation from a userIntercomIntercom
  • LogicClassify as onboarding/setup question or skip
  • ActionSearch product docs for relevant passagesNotionNotion
  • ActionDraft grounded step-by-step answer from docsOpenAI
  • OutputReply in the Intercom thread with source linkIntercomIntercom

What it does

Watches your Intercom inbox for onboarding and setup questions from new accounts, retrieves the most relevant passages from your product documentation, and posts a concise, accurate reply directly in the conversation. Every answer cites the doc page it came from so users can read more.

When to use it

When first-week users flood support with the same "how do I connect X" and "where do I set Y" questions, and your team is copy-pasting from docs. This deflects repetitive setup tickets while keeping answers grounded in your real documentation instead of hallucinated steps.

How it works

  1. 1A new Intercom conversation arrives and the trigger fires.
  2. 2The agent classifies whether it is an onboarding or setup question; non-setup messages are skipped.
  3. 3It searches your Notion product-docs workspace for the passages most relevant to the question.
  4. 4The agent drafts a step-by-step answer strictly from the retrieved passages, refusing to invent steps not in the docs.
  5. 5It posts the reply back into the Intercom thread with a link to the source doc page.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect IntercomConversations, contacts, articles.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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