The advent of the AI and 5G era is profoundly transforming the way we live and work, creating immense value across various sectors. The impact on networks is shifting from quantitative changes (higher bandwidth) to qualitative changes (higher certainty). As the core support for the implementation of AI and 5G services, traditional transport networks and their O&M systems can no longer meet the explosive bandwidth demands, real-time requirements, and complex O&M needs of AI and 5G. First, there is a significant gap between bandwidth supply and service demand, leading to network congestion, poor user experience, and traffic loss for operators. Second, traditional optimization methods struggle to meet the deterministic experience requirements of AI services. Third, the traditional manual operation and maintenance (O&M) model is inefficient, with delayed fault handling, long MTTR (Mean Time to Repair) for passive fault responses, and poor network availability, all of which result in degraded service experience. Fourth, the current security protection system of the bearer network remains at the level of traditional networks and is unable to address new types of security threats, leaving a clear security gap. AI‑Accelerated Network Optimization to Intelligent Maintenance Catalyst is based on the IP Autonomous Domain AN L4 Agentic architecture for multi-scenario Autonomy, which aim to achieve collaborative autonomy in fault handling, performance optimization, and network changes in various scenarios. This will cover all network O&M scenarios, provide excellent network quality and ultimate customer experience, enable service innovation and experience-driven revenue growth, unleash network potential, and optimize the overall network benefits. What Catalyst Delivers: 1. Service Experience Upgrade: Closed-loop self-optimization for zero intervention in 9 types of poor-quality scenarios. Through AI-based traffic prediction and suppression analysis, precise capacity expansion is achieved, releasing 70% of traffic suppression, increasing DOU by 25%. 2. O&M Experience Upgrade: Early detection and identification of 4 major types of potential risks, with self-diagnosis and self-repair capabilities, reducing MTTR by 35%. Achieves zero packet loss and zero service interruption, shifting from post-event repairs to proactive prevention. 3. Network Resilience Upgrade: Automated review and protection line for network configuration changes, ensuring "zero" errors in network adjustments and improving change efficiency by 90%. 4. Network Security Upgrade: Achieves network-level automatic traceability, minute-level attack path reconstruction, and automatic blocking, improving security operation efficiency by 90% and saving $60M annually. High-quality private lines command a 200% premium.