This Phase II Catalyst delivers an AI-powered, end-to-end customer experience (CX) intelligence platform that fundamentally realigns telecom network investment, operations, and customer outcomes. Today, CSPs face a persistent disconnect: strong network KPIs reported by technology teams coexist with stagnant NPS, rising churn, and inefficient allocation of over USD 200B in annual CAPEX. Technical excellence alone is no longer sufficient—investment decisions must be guided by the customer’s lived experience. Building on successful Phase I pilots, this project advances to full-scale commercial deployment by making CX the unifying metric across CTO, CMO, operations, and finance functions. The solution introduces the industry’s first fully integrated CX-to-CAPEX intelligence platform, powered by a coordinated multi-agent AI architecture and LLM-based interfaces that democratize complex network and investment data across the organization. The platform fuses real-time OSS network performance, crowdsourced customer experience signals, and predictive traffic forecasts to eliminate siloed decision-making. Agentic AI enables Level 4 autonomous operations—automating detection, root-cause analysis, self-healing, and ROI-ranked investment recommendations—while closed-loop feedback continuously validates post-investment CX improvements. LLM interfaces allow all stakeholders, from customer care to CFOs, to query the system in natural language and receive contextual, business-relevant insights. By shifting from reactive monitoring to proactive value creation, the solution targets 10–15% CAPEX optimization through smarter investment allocation, 30–50% OPEX reduction via AI-driven virtual diagnostics, 30–40% faster mean time to resolution, a 15–20% reduction in network-related churn, and a 5–10 point uplift in NPS. Collectively, these outcomes realign the CSP business engine to drive sustainable growth through superior customer loyalty and operational efficiency. The project is fully aligned with TM Forum’s ODA and Autonomous Networks missions, leveraging TM Forum Open APIs (TMF628, TMF629, TMF638) and contributing learnings to IG1444 on Agentic AI. It demonstrates how AI agents can autonomously optimize not only network performance, but also investment accountability and customer-centric business outcomes at commercial scale.