AI-Driven Customer Success Workflow: Auto-Calculate Health Scores + Personalized Renewal Alerts

Integrate CRM data, product usage logs, and customer communication records. Use an AI Agent to automatically calculate customer health scores, identify high churn risk accounts, and generate personalized intervention suggestions and outreach email drafts for CSMs, reducing churn by 20-30%. ## Direct Answer **What problem does this workflow solve?** Two common pain points in B2B SaaS: 1. CSMs manage 50+ customers and don't know who to prioritize. 2. They only discover a customer is about to churn when it's too late to intervene. **What can AI do?** - Automatically calculate a health score (0-100) for each account daily. - Identify downward trends in health scores (2 consecutive weeks of decline → alert). - Generate personalized intervention suggestions for high-risk accounts. - Draft outreach emails (citing specific customer usage data). ## Health Score Calculation Model ```python def calculate_health_score(account_data): score = 100 # Login frequency (max deduction 30) login_days = account_data['login_days_last_30'] if login_days < 5: score -= 30 elif login_days < 15: score -= 15 # Core feature usage (max deduction 25) adoption = account_data['feature_adoption_rate'] if adoption < 0.3: score -= 25 elif adoption < 0.6: score -= 10 # Support tickets (more = lower satisfaction, max deduction 20) tickets = account_data['support_tickets_last_30'] if tickets > 10: score -= 20 elif tickets > 5: score -= 10 # Contract renewal approaching (max deduction 15) days_to_renewal = account_data['days_to_renewal'] if days_to_renewal < 30: score -= 15 return max(0, score) ``` ## n8n Workflow ``` Trigger daily at 08:00 ↓ HubSpot API → Pull all active accounts ↓ postgres MCP → Query product usage data from last 30 days ↓ AI Agent (Claude) → Calculate health scores + generate risk labels ↓ Filter accounts with health score < 60 ↓ AI Agent → Generate intervention suggestions + email drafts for each risk account ↓ Write to CRM + Send Slack notification to CSM ``` ## Measured Results (50-person SaaS company, 3 months) - High-risk customer identification advanced from "2 weeks before renewal" to "8 weeks before renewal" - CSM daily handled customers: 45 → 70 (same headcount) - Net Revenue Retention (NRR) increased from 98% to 103%