Spot customers about to churn and reach out before they leave

AI scores customer health daily, flags churn risk, and sends personalized retention emails or Slack alerts for critical cases.

How the work actually flows

It branches. Exactly one path is taken; runs once per each customer.

Pattern: Exclusive Choice (4) · Multiple Instances without Synchronization (12)

flowchart TD trig(["daily customer health check"]):::trigtime s0[["classify churn risk"]]:::mi s1["send retention email"]:::svc s2["alert team in slack"]:::svc trig --> s0 s1 --> s2 gx{"× customer risk tier"}:::gate s0 --> gx p00["send retention email"]:::task gx -->|"at-risk tier"| p00 p10["alert team in slack"]:::task gx -->|"critical tier"| p10 p20["no action"]:::task gx -->|"healthy tier"| p20 p00 --> s1 p10 --> s1 p20 --> s1 out[/"retention emails and slack alerts"/]:::out pay{{"catch churn before cancellation"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itAn outside serviceRuns once per itemOne path onlyResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsEmail AutomationMessaging & NotificationsSpreadsheet & Database Ops
Connects
StripeSlackGmailGoogle SheetsOpenAI
Featured in

The problem it solves

You know some customers are quietly slipping away, but by the time you notice a cancellation, it's too late to fix it. Manually reviewing every account for warning signs isn't realistic once you have more than a handful of customers.

Who it fits

SaaS and subscription businesses that want to catch at-risk customers before they cancel.

How it works

  1. Every day, customer health is scored across several usage and billing signals
  2. AI classifies each customer's churn risk
  3. At-risk customers receive a personalized retention email
  4. Critical cases are routed to your team in Slack for immediate follow-up
What you get

At-risk customers flagged before they cancel

You get a daily churn risk score for every customer, with personalized retention emails sent automatically and critical cases flagged to your team.

What you get

A daily churn risk list, automatic retention emails, and Slack alerts for urgent accounts.

What you need

A Stripe account, a Slack workspace, a Gmail account, a Google Sheets account, and an OpenAI API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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