Telecom operators face mounting pressure to integrate AI into their core operations to meet rapidly rising expectations for speed, personalization, and automation. Yet industry wide, Business Support Systems—rich in data but designed for traditional operations—present three obstacles to realizing AI’s full value: 1. Delivering operational capabilities into AI service scenarios quickly, without prolonged, costly development cycles. 2. Making operational data consistently interpretable by AI, so responses are accurate, relevant, and timely. 3. Ensuring seamless performance across hybrid system environments, combining legacy and modern platforms. Overcoming these challenges delivers significant business value: • Faster AI powered service launches, enabling operators to respond to market changes in days rather than months. • Personalized and proactive customer engagement, improving satisfaction, loyalty, and lifetime value. • More agile operations, reducing complexity, duplication, and integration costs across systems. • Stronger ecosystem partnerships, allowing external solutions and vendors to connect with minimal friction. Planned alignment with TM Forum ODA standards will ensure the solution’s compatibility and reusability across the telecom industry. The outcome is a clear path toward fully AI enabled operations—driving competitive advantage, improving customer experiences, and achieving sustainable service innovation without replacing core systems. In Phase 1, our focus was to build the core AI foundation for telecom. We developed a Telco Specific LLM (TSL), the MNO AI Platform as a secure middle layer to interface with BSS/OSS, and initial AI Agents capable of context aware customer interaction. This proved that complex telecom data could be made AI ready without replacing legacy systems, enabling higher accuracy in resolving customer queries. Phase 2 shifts from building the core to addressing industry wide challenges that arise when turning APIs and data into real AI driven applications. The aim is to evolve the platform from a proven prototype into an operational integration framework connecting CSPs with multiple vendor solutions and enabling rapid deployment of AI services. In this phase, we will align with global telecom standards such as TM Forum ODA while also embedding telco specific scenarios—for example, “data gifting” for mobile customers—into the standardization process. This ensures that the resulting framework supports both generic CSP needs and differentiated market services, while contributing back to the broader telecom ecosystem. Through this approach, the technologies validated in Phase 1 will be extended into a production ready platform, delivering measurable improvements in time to market, precision, and scalability—ultimately creating an industry reference model for AI powered telecom services.