This paper argues that traditional application managed services (AMS) are too reactive for cloud-native and SaaS businesses, where latency and slow incident response directly impact churn, user satisfaction, and LTV. It proposes Brillio’s GenAI-led AMS framework that combines tool-agnostic integration (for example with ServiceNow, AppDynamics, and Datadog), real-time telemetry, and agentic automation to speed anomaly detection, automate root-cause analysis, and execute playbooks for faster resolution and higher support productivity. The paper highlights use cases beyond incident response, including predictive churn management using feature adoption and sentiment signals, AI-driven upsell and cross-sell targeting from usage telemetry, autonomous subscription operations (billing, provisionin

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