The paper outlines best practices for future-proofing RAN planning in the 5G era by focusing on three essential building blocks. As network complexity and performance expectations grow, traditional planning methods are no longer sufficient. The first building block emphasizes AI-driven accuracy, shifting from static models to adaptive learning systems that continuously improve planning precision. The second focuses on advanced propagation models, highlighting the need for evolved architectures, pre-calibrated models, and curated geodata delivered as a service. The third building block addresses streamlined, intuitive processes, moving from siloed, expert-only workflows toward cloud-native, planning-as-a-service approaches that improve efficiency, scalability, and collaboration across netwo

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