AI AGENTS

On-Demand QBR Deep-Dive from a Slack Command

A CSM drops an account name in Slack and an agent returns a full QBR-ready summary of HubSpot deal history, Intercom support trends.

CategoryAI Agents
Enginepaperclip
Difficultybeginner
Triggerchat
Steps6
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSlack message names an accountSlack
  • ActionResolve company and fetch deals from HubSpotHubSpotHubSpot
  • ActionRetrieve recent Intercom conversationsIntercomIntercom
  • LogicClassify account as healthy or at-risk
  • ActionDraft briefing tuned to health status (LLM)OpenAI
  • OutputReply with summary in Slack threadSlack

What it does

Gives customer success managers an instant, conversational way to prep for any account review. Instead of waiting for a scheduled job, the CSM mentions an account in Slack and the agent pulls together the same account-history briefing on demand, replying inline in seconds.

When to use it

Use this for ad-hoc reviews, escalations, or when an exec asks 'where are we with Acme?' five minutes before a call. It complements scheduled QBR prep by covering the unplanned moments.

How it works

  1. 1A Slack message in the QBR channel triggers the agent with an account name.
  2. 2The agent resolves the company in HubSpot and pulls deals, ARR, and renewal date.
  3. 3It retrieves recent Intercom conversations and computes a support-load and sentiment snapshot.
  4. 4A decision step checks whether the account is healthy or at-risk based on ticket volume and stalled deals.
  5. 5An LLM drafts a concise briefing tuned to that health status, with talking points and risks.
  6. 6The agent replies in the Slack thread with the summary and links back to source records.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SlackChannels, DMs, threads, mentions.
  2. 2
    Connect HubSpotCRM, deals, marketing, support.
  3. 3
    Connect IntercomConversations, contacts, articles.
  4. 4
    Connect OpenAIModels, embeddings, files.
  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.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.