Traditional RF planning relies on static maps and manual data fusion, creating a brittle digital model that decays as the network changes. This workflow automates the continuous synthesis of a living digital twin by deploying specialized AI agents to ingest and correlate GIS terrain, 3D building models (BIM), live performance telemetry, and equipment databases. The result is a dynamic, simulation-ready environment that reflects real-world network state, enabling rapid what-if analysis for capacity upgrades, interference mitigation, and new site integration without weeks of manual reconciliation.




