This success case shows how E-REDES uses the Central Programming Optimizer, an AI-powered solution, to improve how network work is planned, prioritized and executed. By centralizing portfolio prioritization, monthly work allocation and re-programming support, it reduces manual effort, shortens planning cycles and improves coordination between planning, programming and operational teams. The solution has cut programming-related labour by an estimated 10–20%, increased visibility and predictability across fieldwork, and supports faster CAPEX delivery through smarter resource allocation.
