47 customers were going to churn in Q4 and our entire team missed it because they still logged in occasionally, used basic features, and never complained. But our AI system caught what we couldn't - login frequency down 60%, feature adoption stuck at 30%, support tickets with subtle frustration signals, and days until renewal approaching fast. We saved 34 of them and prevented $163K in lost annual revenue. This automated system detects churn risk 2-3 weeks BEFORE customers decide to leave by automatically checking every active customer's health, pulling data from Stripe, Mixpanel, and Intercom, calculating churn risk scores (0-10), using AI to analyze WHY they're at risk, and sending automated interventions based on severity. Get the 30-minute SaaS churn prevention system setup guide, n8n workflow JSON (ready to import), complete Airtable database schema, churn prevention email templates, AI prompts library for churn prevention and customer analysis, and Slack configurations guide.