Generative AI has transformed industries, but high costs and hallucinations highlight the need for tailored solutions. Small Language Models (SLMs) deliver cost-effective, domain-specific intelligence, aligning with enterprise needs. This phase focuses on a new edge use case leveraging generative AI and a framework to match SLMs with specific requirements, empowering CSPs to harness their network and edge ecosystems for scalable B2B2X opportunities across industries. This proposal builds directly on the foundational work established in the previous phase of the 'Mighty Minions' Catalyst, which demonstrated the value of SLMs in delivering cost-efficient, domain-specific generative AI solutions for CSPs. In the earlier phase, we validated the potential of SLMs to empower CSPs with flexible, privacy-enhanced AI capabilities tailored to their data and network ecosystems. In the new phase, we aim to extend this by introducing a comprehensive framework that evaluates and matches SLMs to specific use cases. This framework will consider factors such as latency, privacy requirements, model accuracy, and resource efficiency, enabling CSPs to confidently select the optimal SLM for each business need. By systematizing this decision-making process, we address a key challenge from the previous phase: ensuring that CSPs and their enterprise customers can deploy the right AI solutions with minimal trial and error. Additionally, the new phase focuses on developing a cutting-edge edge use case powered by generative AI. This use case will demonstrate how CSPs can deploy SLMs within edge environments, overcoming challenges like latency, bandwidth constraints, and data sovereignty. By leveraging CSP networks and edge ecosystems, the solution showcases real-world applicability, unlocking new opportunities for personalized, real-time services across industries. This extension of the 'Mighty Minions' initiative not only builds on the principles established in the first phase but also operationalizes them, providing CSPs with actionable tools and methodologies to scale AI adoption. It reinforces the value of SLMs while addressing practical implementation challenges, driving innovation, and unlocking B2B2X revenue streams in a structured, sustainable manner.