According to McKinsey, contribution of network experience for customers choosing their network provider or churning is close to 20%. Advancements in AI empower telecom operators to better understand individual customers' network experiences, enabling ROI-maximizing capital allocation and improved reliability. The challenge lies in comprehending usage patterns and connectivity performance from the end-user's perspective, all while optimizing network quality and customer satisfaction within the economic constraints faced by CSPs. To address this challenge, we will collect anonymously real customer connectivity insights 24/7 from end-user devices. To address privacy concerns, we introduce DePIN mechanism, which gives reward for end users. Our data collection methodology is the most sustainable way to collect network performance and quality data tied to real customer experience. It is lightweight and has a very marginal impact on users’ data plan and on the radio access network in terms of added traffic load and energy consumption. Collected insights are correlated with network-based data from access networks, transport layers, and core infrastructure to create an end-to-end holistic view of service delivery. Typical cases include strategic investment planning, proactive quality improvements, cloud diagnostics, and accelerated customer complaint resolution. The AI/ML-powered system automatically identifies performance bottlenecks, detects emerging trends, prioritizes issues based on customer impact severity and makes recommendations. To assure maximum accuracy and extreme automation we applied Digital Twin artefact contributing toward Autonomous Networks Level 4 and for cases where human decision is needed, we provide intuitive GUI utilizing latest XR technology. By addressing connectivity issues proactively rather than reactively and shifting focus from network metrics to customer perception, CSPs can reduce churn, enhance customer satisfaction, and optimize network resources based on real-world usage patterns rather than theoretical models. Let’s bring the customer back into the centre of the CSP decision making by addressing proactively their connectivity issues!