Flag at-risk customers automatically and alert your team

Reviews payment and complaint data daily, scores each customer's risk, and instantly alerts your team about high-risk accounts.

How the work actually flows

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

Pattern: Exclusive Choice (4) · Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(["daily and weekly schedule"]):::trigtime s0["pull customer data"]:::svc s1[["score customer risk"]]:::mi s2["generate feedback insights"]:::svc s3[("log results")]:::store trig --> s0 s0 -->|"one per each customer account"| s1 s2 --> s3 gx{"× is risk high or low"}:::gate s1 --> gx p00["send instant alert"]:::task gx -->|"high risk"| p00 p10["no alert sent"]:::task gx -->|"low risk"| p10 p00 --> s2 p10 --> s2 out[/"high risk customers flagged instantly"/]:::out pay{{"catch churn risk before losing customers"}}:::pay s3 --> 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 itemA record or sheetOne path onlyResultPayoff
Build size
Advanced

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

Business functions
Email AutomationMessaging & NotificationsSpreadsheet & Database OpsSurvey & FeedbackSecurity & Compliance
Connects
PostgreSQLGmailDiscordGoogle Sheets

The problem it solves

You know some customers are at risk of leaving, but the signals are scattered across payment records, support complaints, and feedback forms. By the time you connect the dots yourself, an unhappy customer may have already churned.

Who it fits

Customer success and account teams managing renewal or churn risk across many accounts.

How it works

  1. On a daily and weekly schedule, the system pulls each customer's payment status, complaints, and product data from your database
  2. Each customer is scored as high risk or low risk based on payment and complaint history
  3. High-risk customers trigger an instant alert by email and in Discord
  4. AI reviews customer feedback separately and generates structured product insights
  5. Every risk evaluation and insight is logged for future reference
What you get

Risky accounts flagged before you decide what to do

You get high-risk customers flagged daily so your team can step in early.

What you get

Instant alerts for high-risk customers plus a running log of risk scores and AI-generated feedback insights.

What you need

A PostgreSQL database, a Gmail account, a Discord workspace, and a Google Sheets account.

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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