AI AGENTS

At-Risk Account QBR Escalation Brief

When an account's health score drops in HubSpot, an agent assembles a risk-focused briefing from support and deal history and routes it to the account team in Slack…

CategoryAI Agents
Enginepaperclip
Difficultyintermediate
Triggerwebhook
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerHubSpot webhook: health score drops below thresholdHubSpotHubSpot
  • ActionPull deals, ARR, and renewal date from HubSpotHubSpotHubSpot
  • ActionRetrieve recent Intercom conversationsIntercomIntercom
  • LogicConfirm drop is material (ARR or renewal proximity)
  • ActionWrite risk brief and save plan (LLM)OpenAI
  • OutputPost brief and tag CSM in SlackSlack

What it does

Catches accounts trending toward churn before the formal QBR and produces a focused escalation brief. Rather than a full review deck, the agent zeroes in on what is going wrong, why, and what the team should do about it, then pushes it to the people who can act.

When to use it

Use this when you want renewal risk surfaced continuously instead of only at quarter-end. It turns a dropping health score into an actionable save plan the same day.

How it works

  1. 1A HubSpot webhook fires when a company's health score crosses below the risk threshold.
  2. 2The agent pulls the account's open deals, contract value, and renewal date from HubSpot.
  3. 3It retrieves recent Intercom conversations to identify unresolved issues and frustration signals.
  4. 4A logic step confirms the drop is material (high ARR or near renewal) before continuing.
  5. 5An LLM writes a risk brief: root causes, exposure, and a concrete three-step save plan.
  6. 6The agent posts the brief to the account team's Slack channel and tags the owning CSM.

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 SlackChannels, DMs, threads, mentions.
  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.

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