CUSTOMER SUPPORT

Deflection Macro Auto-Suggester from KB Diffs

On a weekly schedule, diffs updated Notion help docs against open Intercom conversations.

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule
  • ActionPull Notion help docs edited in last 7 daysNotionNotion
  • ActionLoad open Intercom conversationsIntercomIntercom
  • ActionDraft deflection reply macro per matched conversationOpenAI
  • LogicDrop conversations with no confident doc match
  • OutputPost draft macros to Slack for approvalSlack

What it does

This workflow turns fresh documentation into draft canned responses. Each week it looks at help docs updated recently in Notion, matches them against currently open Intercom conversations, and writes a suggested macro reply for each conversation a doc now covers, so agents can deflect with one click instead of typing from scratch.

When to use it

Use it when your docs move faster than your saved-replies library and agents keep re-answering questions that are already documented. Good for teams that want self-serve deflection baked into live conversations.

How it works

  1. 1A weekly schedule kicks off the run.
  2. 2The flow pulls Notion help pages edited in the last 7 days.
  3. 3It loads open Intercom conversations awaiting an agent.
  4. 4An LLM matches each conversation to a doc and drafts a short reply macro with the doc link.
  5. 5A logic step drops conversations with no confident doc match.
  6. 6The drafted macros are posted to Slack for an agent to approve and send.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect NotionPages, databases, comments.
  2. 2
    Connect IntercomConversations, contacts, articles.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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