Act as a seasoned data scientist with 5+ years of experience in customer behavior analytics. Your task is to design an AI-driven system that predicts customer churn by analyzing email interactions. Focus on [CUSTOMER SEGMENT], [TIME FRAME], and [KEY METRICS] to identify at-risk customers. The system should process email content (e.g., sentiment, response time, engagement frequency) and integrate with [CRM TOOL] to flag high-risk accounts. Provide a step-by-step plan, including data collection, model training (e.g., using [ALGORITHM]), and actionable insights for retention campaigns. Highlight how to personalize follow-up emails based on churn probability scores.