AI AGENTS

Weekly CSM Portfolio QBR Digest

Every Monday an agent reviews all of a CSM's accounts, flags which ones have QBRs due and gathers their history into a single Notion digest ranked by priority.

CategoryAI Agents
Enginepaperclip
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonday schedule per active CSM
  • ActionList owned companies and dates in HubSpotHubSpotHubSpot
  • LogicFilter to QBRs due in 30 days, rank by ARR and risk
  • ActionPull Intercom and deal snapshot per accountIntercomIntercom
  • ActionSummarize each account into prep notes (LLM)OpenAI
  • OutputWrite Notion digest and send Slack summaryNotionNotion

What it does

Gives each CSM a single Monday-morning view of their whole book of business through a QBR lens. The agent scans every owned account, finds the ones with reviews coming up, and compiles a prioritized digest so the CSM knows exactly which prep work to do this week.

When to use it

Use this when CSMs juggle many accounts and lose track of which QBRs are approaching. It replaces the manual spreadsheet audit with an automatic weekly briefing.

How it works

  1. 1A Monday schedule kicks off for each active CSM.
  2. 2The agent lists the CSM's owned companies in HubSpot and their renewal and last-QBR dates.
  3. 3A logic step filters to accounts with a QBR due in the next 30 days and ranks them by ARR and risk.
  4. 4For each, the agent pulls a quick Intercom support snapshot and deal status.
  5. 5An LLM summarizes each account into a one-paragraph prep note with priority order.
  6. 6The agent writes a consolidated digest page in Notion and sends the CSM a Slack summary with counts and the top three to tackle first.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HubSpotCRM, deals, marketing, support.
  2. 2
    Connect IntercomConversations, contacts, articles.
  3. 3
    Connect NotionPages, databases, comments.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Connect OpenAIModels, embeddings, files.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    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.