This article explores the transformation of customer success management from a reactive model to a proactive, AI-driven strategy. By utilizing telemetry data and machine learning, businesses can move away from static manuals toward dynamic playbooks that launch automated responses to specific user behaviors. These intelligent systems analyze product usage and engagement signals to predict churn risks or identify expansion opportunities. The framework enables a human-AI collaboration where routine tasks are automated, allowing managers to focus on high-level strategic interventions. Ultimately, this approach aims to improve customer retention and operational efficiency by delivering personalized support at exactly the right  ...