SALES

Daily Intercom warm-conversation digest with Attio sync

Runs each morning, pulls the prior day's Intercom conversations, ranks them by buying intent, syncs the warmest to Attio, and posts a prioritized digest to Slack.

CategorySales
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekday morning schedule
  • ActionFetch last 24h of Intercom conversationsIntercomIntercom
  • ActionScore and rank conversations with OpenAIOpenAI
  • LogicSplit into warm and ignore tiers
  • ActionUpsert warm deals in AttioAttio
  • OutputPost ranked digest to SlackSlack

What it does

Once a day this workflow reviews yesterday's Intercom conversations, scores each for purchase intent, and produces a ranked list of the warmest prospects. The top conversations are reconciled into Attio as deals or refreshed notes, and the whole digest is delivered to your sales channel so the team starts the day knowing exactly who to chase.

When to use it

Use it when real-time alerts create too much noise and you'd rather work a clean, prioritized queue each morning instead of triaging the inbox live.

How it works

  1. 1A scheduled trigger fires every weekday morning.
  2. 2Intercom returns all conversations from the previous 24 hours.
  3. 3An OpenAI step scores and summarizes each conversation, then ranks them.
  4. 4A logic step splits the ranked list into a warm tier and an ignore tier.
  5. 5Attio upserts deals for the warm tier with scores and summaries.
  6. 6A formatted Slack digest posts the ranked warm leads with deal links.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect IntercomConversations, contacts, articles.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect AttioReal-time CRM with structured data + powerful views.
  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.

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