The telecom industry is sitting on a "trapped goldmine" of real-time data, but this high-value asset remains stuck in legacy silos. Governed by slow, static rules, today's engagement models are disconnected from real-time customer intent. This disconnect leads to a cascade of failures: missed revenue opportunities, low campaign conversion, and silent customer churn. This Catalyst introduces the Agentic Intelligence Exchange (AIX), a multi-operator "shared brain" that moves the industry beyond simple automation to deliver true, governed autonomy. The solution is an autonomous reasoning engine built on three key innovations. First, it delivers Agentic AI, allowing the system to "perceive, reason, and act" autonomously shifting its strategy from "upsell" to "retain" in milliseconds based on real-time context . Second, it achieves this through Privacy-First Federated Learning, enabling partners like Indosat and Telin to collaborate on intelligence without sharing raw data, ensuring digital trust and data sovereignty. Third, it solves the "AI black box" problem by using TMF915 (AI Management) as its governance backbone, making every autonomous decision logged, explainable, and auditable . This ODA-aligned architecture operates as a 4-step value chain . Real-time network triggers from the Operators are enriched by the intelligence layer to create "intent tags" and a "churn score". This insight is fed to the "Agentic Brain," which autonomously decides the next-best action. That decision is then instantly executed on digital engagement platforms via WhatsApp, RCS, Email or in-app offers, with conversion data fed back to complete the learning loop . The results of this deployment-ready prototype are not theoretical. The AIX has proven it can unlock $3-5M in new monthly revenue and deliver a 30-35% improvement in campaign engagement. Operationally, it achieves 91% accuracy in real-time intent prediction and a 90-98% reduction in manual data mapping effort. This Catalyst delivers the industry's first shared intelligence layer and a reusable ODA blueprint that proves multi-operator AI collaboration is the key to defining the future of AI-native, real-time customer engagement