Network experience is the primary driver for customer choice of network provider, NPS, and churn. Winning speed test award does not improve CX, but stopping churn from the bottom 10% makes a difference. Global telecom infra investments reached USD428 billion (2023) and will surpass USD500 billion (2026). Mobile data growth compound annual growth rate is expected to be 19% through 2030. The challenge lies in optimizing “network connectivity engine” from the end-user's perspective and within the economic constraints. Traditionally CSP decide on network optimizations and investments using isolated drive-tests, OSS data, and slow manual analysis. The result is delayed fixes, overspending on CAPEX where it doesn’t improve CX. To address this, three critical data streams must be unified: real-time network performance from OSS, crowdsourced customer experience metrics, and predictive traffic forecasts. Building on our award-winning Phase I project, Phase II transforms customer experience into the common decision-making metric across technology and commercial teams and scales from five to eight CSPs. The solution is fully aligned with TM Forum Open APIs, Open Digital Architecture, and Autonomous Networks frameworks. Phase II solution consists of: 1. Collection of CX insights: Real customer connectivity experience 24/7 from end-user devices with a mechanism for rewarding and managing customer consents 2. Multi-source data fusion: Real-time network performance from OSS systems, crowdsourced customer experience metrics, and predictive traffic forecasts 3. Autonomous decisions: Agentic AI-driven closed-loop decision making targeting AN Level 4 4. Multimodal interface: LLM interface or map interfaces to democratize access to network intelligence 5. Proactive investment and optimization: Recommendations linked to automated implementation The solution addresses three use cases: automated quality improvements, automated capacity enhancements, and democratized access to network intelligence, all powered by AI and cantered on the customer experience. The success of this solution is defined by the total alignment of technical performance with commercial growth. We move beyond traditional network availability to focus on actionable, customer-centric outcomes. By transitioning from Phase I pilots to full-scale commercial deployments in Phase II, we will measure success through six key pillars: 1. Time-to-insight reduction: Tasks that traditionally require weeks of expert analysis are completed in minutes through Agentic AI and LLM-driven automation. 2. OPEX efficiency: We target a 30–50% reduction in field testing costs by replacing traditional, labour intensive manual drive tests with AI-driven virtual performance monitoring. By leveraging user experience data collection with crowdsourcing and automated site verification, we eliminate the need for specialized vehicles and technicians to perform physical diagnostic patrols, significantly lowering fuel and labour expenses. 3. CAPEX optimization: Investment Intelligence: We will measure success by a 10–15% reduction in CAPEX through smarter allocation. By leveraging Agentic AI to automate network investment planning and forecasting, we replace months of manual analysis with real-time, demand-based modelling. 4. Customer retention: Success looks like a 15–20% reduction in network-related churn. By resolving issues ultimately before they impact the user, we protect the subscriber base from migrating to competitors due to service degradation and slow response to complaints. 5. Operational velocity: We expect 30–40% faster MTTR by utilizing Agentic AI to automate root-cause analysis. This democratizes data access, allowing non-engineering teams to resolve issues without waiting for specialist intervention. 6. Customer advocacy: We project a 5–10 points NPS uplift through better end-user experience. No other solution in the marketplace unifies three critical data streams: real-time OSS network performance, crowdsourced customer experience metrics, and predictive traffic forecasts. Furthermore, the platform is fully vendor-agnostic, enabling global deployment across all CSPs.