This project focuses on leveraging Small Language Models (SLMs) to enhance 5G use cases by enabling models that operate efficiently on devices with limited computational power, such as smartphones, IoT devices, and edge servers. These SLMs are designed to deliver real-time, context-aware services, improving both user experience and operational efficiency. By integrating SLMs into edge devices, we aim to showcase their effectiveness across various real-world scenarios. Building on the success of the previous phase, we will transition several proof-of-concept (POC) use cases into full production environments in collaboration with our key partners. This transition will validate the models’ practical applicability, demonstrating their readiness for large-scale deployment. The process will include comprehensive testing and optimization to ensure the models’ robustness and reliability in live operational settings. The implementation of these GenAI-driven solutions opens up significant new revenue opportunities for Communication Service Providers (CSPs). By adopting and commercializing these technologies, CSPs can diversify their service offerings, unlocking new income streams. Detailed financial projections and use case examples will demonstrate how these technologies drive both revenue growth and operational improvements, highlighting their value for CSPs in the evolving telecom landscape.