Templates / Diagnose customer churn risk from PostgreSQL data with Gemini and Slack alerts

Diagnose customer churn risk from PostgreSQL data with Gemini and Slack alerts

Needs changes

by iamvaar ✓ · 0 views · created 2026-10-13 · CRM, AI Summarization

Needs changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 17 nodes and runs on a schedule (cron 0 7 * * *) (plus 1 other trigger). Along the way it connects Postgres, Google Gemini Chat Model and Slack.

How it runs

Trigger: On a schedule (cron 0 7 * * *) (plus 1 other trigger).

  1. Fetch Customer Features (Postgres): run a query
  2. Calculate Drift Score (Code): runs custom JavaScript code
  3. Check AI Analysis Need (If): checks a condition and branches into true / false
  4. Retrieve Ticket Context (Postgres): run a query
  5. Combine Analysis Streams (Merge): merges the data from its input branches
  6. Build Evidence Payload (Code): runs custom JavaScript code
  7. Create Analysis Record (Code): runs custom JavaScript code
  8. Drift Analysis Agent (AI Agent): runs an AI agent, with model: Gemini AI Model; output parser: Parse Structured Output
  9. Store Assessment Result (Postgres): run a query
  10. Check Diagnosis Validity (Code): runs custom JavaScript code

…plus 3 more steps. See the full node list below.

Services it uses

PostgresGoogle Gemini Chat ModelSlack

Before you upgrade to n8n 3.0

1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:

  • AI Agent v1 (old agent modes) in Drift Analysis Agent (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Removed in 3.0Replace with
AI Agent v1 (old agent modes)
Drift Analysis Agent (v1.7)
Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.

Nodes used (10)

From the author

Quick overview Youtube Video: https://youtu.be/MTHAZzOZCnQ?si=0k06-RgGYHtC08v This workflow runs daily to score customer “relationship drift” from Postgres metrics, uses Google Gemini to generate a structured diagnosis for medium/high-risk accounts, stores…

Excerpt from iamvaar's description on n8n.io.

View the original on n8n.io → Check your own copy

Get the weekly “what broke” email

New templates, newly broken ones, and n8n release changes. One short email a week.

Form not loading? Subscribe here.