Predict customer churn risk and trigger retention outreach

Daily analysis of usage, support, and billing data flags customers likely to churn and drafts a personalized save plan.

How the work actually flows

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

Pattern: Exclusive Choice (4) · Simple Merge (5) · Multiple Instances without Synchronization (12)

flowchart TD trig(["daily schedule runs"]):::trigtime s0[["pull customer usage and billing data"]]:::mi s1["analyze signals with AI"]:::svc s2["score churn risk"]:::task s3[("log results to CRM")]:::store trig --> s0 s0 --> s1 s1 --> s2 gx{"× is risk score high"}:::gate s2 --> gx p00["send slack alert"]:::task gx -->|"high risk"| p00 p01["draft outreach email"]:::task p00 --> p01 p10["no action taken"]:::task gx -->|"low risk"| p10 jn{"○ proceed to logging"}:::gate p01 --> jn p10 --> jn jn --> s3 out[/"at risk customers flagged with outreach"/]:::out pay{{"prevents customer churn proactively"}}:::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 itA stepAn outside serviceRuns once per itemA record or sheetOne path onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
CRM & Sales PipelineEmail AutomationMessaging & NotificationsReporting & AnalyticsFinance & AccountingCustomer Support & Ticketing
Connects
OpenAIZendeskHubSpotStripeSlack

The problem it solves

You often find out a customer is unhappy only after they cancel, when it is too late to fix things. Your team is spread too thin to manually review every account's usage patterns and support history.

Who it fits

Customer success or account management teams responsible for retaining subscription customers.

How it works

  1. A daily schedule pulls usage, support, billing, and email data for every customer
  2. GPT-4 analyzes the combined signals to spot warning patterns
  3. Each customer gets a churn risk score and urgency level
  4. High-risk accounts trigger a Slack alert and a personalized outreach email drafted by AI
  5. Risk scores and notes are logged back into HubSpot
What you get

At-risk accounts flagged before they churn

Your team gets a daily churn risk score for every customer, with a personalized outreach plan drafted and ready to send.

What you get

A prioritized list of at-risk customers with AI-drafted outreach and updated CRM records.

What you need

Accounts with your analytics tool, Zendesk, Stripe, HubSpot, Slack, and an AI provider such as OpenAI.

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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