AI AGENTS

On-demand save-offer builder for a single account

A CSM names one at-risk account and the agent gathers its usage, billing, and renewal context.

CategoryAI Agents
Enginepaperclip
Difficultybeginner
Triggermanual
Steps6
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerCSM runs the workflow with a target account
  • ActionGather usage and renewal stage from HubSpotHubSpotHubSpot
  • ActionGather contract terms and billing from StripeStripeStripe
  • LogicAnalyze signals and build three offer options
  • ActionWrite the account brief and options to NotionNotionNotion
  • OutputReturn the brief and draft email to the CSM in SlackSlack

What it does

Gives a CSM an instant, evidence-backed save offer for a specific account on demand. Triggered manually with an account name, the agent pulls everything relevant, then produces three offer options — each with its margin trade-off and a recommendation — plus a polished customer email for the chosen one.

When to use it

Use it right before a renewal call or QBR when you need a defensible offer fast and don't want to dig through three systems by hand. Ideal for CSMs who want the analysis done but keep final judgment on what to send.

How it works

  1. 1A CSM runs the workflow manually and supplies the target account.
  2. 2The agent gathers usage and renewal stage from HubSpot and contract terms and billing from Stripe.
  3. 3It analyzes the signals to identify why the account is at risk.
  4. 4It drafts three save-offer options with trade-offs and a recommended pick.
  5. 5It writes the analysis and options into a Notion account brief.
  6. 6It returns the brief plus a ready-to-send customer email to the CSM via Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HubSpotCRM, deals, marketing, support.
  2. 2
    Connect StripeCustomers, subscriptions, payments.
  3. 3
    Connect NotionPages, databases, comments.
  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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