This Catalyst delivers an experience-centric Autonomous Network (AN) Level 4 solution that transforms how Communications Service Providers (CSPs) assure end-to-end user experiences across complex 5G environments. As networks evolve to support increasingly demanding digital services, traditional operations approaches based on network KPIs alone are no longer sufficient to guarantee customer outcomes. The project introduces an intelligent, AI-driven assurance framework that focuses on the quality of experience (QoE) delivered to end users, enabling CSPs to provide differentiated, predictable, and business-critical service experiences at scale. At the heart of the solution is an innovative RAN intelligent agent platform powered by advanced wireless knowledge models, simulation capabilities, and large language model technologies. The platform delivers proactive assurance across the entire service lifecycle, from pre-event planning and prediction through live operational management to post-event evaluation. By leveraging AI-driven resource allocation, predictive analytics, and automated optimisation, the solution enables CSPs to anticipate potential issues before they impact customers, rapidly identify and resolve emerging service degradations, and continuously optimise network performance based on real-time experience insights. The business value of this approach is significant. CSPs can move beyond reactive network management and towards proactive, experience-led operations that improve customer satisfaction, reduce operational costs, and strengthen service differentiation. For enterprise and industry customers, the solution provides more reliable and predictable network performance, supporting critical digital applications and accelerating adoption of advanced 5G-enabled services. The ability to prioritise users and services dynamically also creates opportunities for new premium offerings built around guaranteed experience levels rather than traditional connectivity metrics. Success is measured through tangible operational and business outcomes. The solution delivers predictive fault detection with high accuracy, enabling issues to be addressed before users are impacted. Intelligent root-cause analysis and automated network optimisation reduce service restoration times while maintaining user experience during disruptions. Real-time experience monitoring combined with digital twin simulation provides continuous visibility into network and service performance, helping operators identify high-value investment opportunities, improve return on investment, and build a foundation for autonomous, experience-driven network operations.