The bottleneck in intelligent RAN adoption is the manual, expert-intensive process of translating business objectives—like 'improve energy efficiency by 15%'—into low-level, tested xApp/rApp policies for the RIC. This creates a costly delay between strategy and execution, stalling ROI on Open RAN investments. A custom multi-agent workflow automates this translation, ingesting KPI targets, network topology, and live telemetry to generate, simulate, and validate candidate policies, compressing policy development from weeks to hours.




