LIA FieldOps introduces a new operational paradigm for communications service providers by placing autonomous AI agents at the center of field operations. Designed to act as the first operational decision layer for field technicians, LIA FieldOps reduces dependency on centralized Operations Centers, accelerates incident resolution, and enables a scalable path toward zero-touch field operations. Field operations are among the most costly and human-dependent domains in telecom. Technicians routinely rely on NOC and CO teams for troubleshooting guidance, authorization, and procedural support—creating bottlenecks that increase Mean Time to Repair (MTTR), limit workforce productivity, and drive up operational costs. LIA FieldOps directly addresses this challenge by providing real-time, natural-language operational support that safely transfers decision-making from humans to AI. Unlike traditional chatbots or rule-based assistants, LIA FieldOps operates as a context-aware, autonomous operational agent. It combines generative AI, structured operational playbooks, historical ticket intelligence, and live conversational context to diagnose issues, guide technicians through complex procedures, and autonomously resolve incidents when confidence thresholds are met. When uncertainty is detected, LIA performs an intelligent, structured handover to human engineers, preserving full diagnostic context, actions taken, and decision rationale—eliminating rework and reducing handling time. The solution is autonomy-by-design, continuously evaluating decision confidence using contextual signals, historical outcomes, and operational rules. A built-in learning loop ensures that every interaction strengthens the operational knowledge base, increasing autonomous resolution rates over time while maintaining strict safety, governance, and auditability. Architecturally, LIA FieldOps is a composable, API-driven platform aligned with TM Forum Open Digital Architecture (ODA) and integrated through TM Forum Open APIs with OSS/BSS, ticketing systems, and network management platforms. The solution has already been validated in a live Tier-1 CSP environment, demonstrating measurable reductions in human escalations even prior to full system integration. By reducing escalations, lowering MTTR, increasing technician productivity, and cutting operational costs, LIA FieldOps enables CSPs to decouple field productivity from centralized human availability. More importantly, it provides a controlled, measurable pathway toward Autonomous Networks Level 4, redefining how operational decisions are made and positioning AI agents as trusted, governed operational entities within the telecom ecosystem. LIA FieldOps does not simply automate field tasks—it transforms field operations into an autonomous, resilient, and scalable capability for the next era of telecom operations.