AI can already predict, recommend and automate. But when an AI-driven decision crosses from one organisation to another, a much harder question emerges: who can trust it, who is accountable for it, and who gets paid for the value it creates? Agentic Intelligence Exchange: Trusted Intelligence Commerce – Phase III addresses this missing layer between artificial intelligence and real-world, cross-party commerce. Phase I proved that telecom data signals could be transformed into actionable intelligence. Phase II showed that this intelligence could remain sovereign and composable, enabling organisations to collaborate without moving or exposing their raw data. Phase III completes the journey by turning sovereign intelligence into a governed commercial product, one that can be discovered, authorised, ordered, consumed, measured, paid for and audited across organisational boundaries. Every communications service provider has its own network data, customer context, intelligence models, APIs, governance controls and technology partners. Requiring every provider to adopt the same platform or surrender its data is neither practical nor desirable. Agentic Intelligecen Exchange (AIX) therefore does not centralise operator data, replace proprietary intelligence or expose customer profiles. Instead, it provides a common trust and commerce control plane that standardises the boundary around each intelligence product: what it does, who may use it, for which permitted purpose, what inputs and outputs are allowed, how quality and validity are defined, what evidence must be retained, and how the resulting value is attributed and settled. At the core of Phase III is the Intelligence Product Commerce Framework. It provides a repeatable operating model through which CSPs can package decision-specific intelligence as governed digital products with defined pricing, usage rules, quality commitments, service levels and accountability. The end-to-end commercial journey covers product publication, qualification, quotation, authorisation, ordering, consumption, decision orchestration, fulfilment, metering, revenue attribution, settlement and audit. Agentic AI coordinates the journey, while TM Forum Open Digital Architecture, Open APIs and AI-native principles provide the foundation for interoperable product management, policy enforcement and explainable outcomes. The Phase III demonstration makes this complex model tangible through one familiar moment: a traveler arrives in another country and must choose how to stay connected. AIX supports two possible journeys, a personalised roaming offer from the home operator or a local-SIM offer from the visited operator. Behind that apparently simple choice, intelligence from multiple sovereign providers is discovered, authorised and orchestrated under consent, purpose, privacy and commercial controls. Even when the traveler selects the local SIM, intelligence contributed by the home operator can still be recognised, measured and rewarded. The customer receives a relevant decision; every participating organisation retains control of its assets; and every contribution can be evidenced and commercially attributed. This is what distinguishes AIX from a conventional data marketplace, a bilateral API integration or another isolated AI use case. Many initiatives make a model, network or autonomous agent more intelligent. Others make AI agents communicate more securely. AIX addresses what happens after intelligence has been created: how organisations can rely on it, transact with it and share the value it produces. Its innovation is not one algorithm or one customer journey, but a reusable operating model for trusted intelligence commerce across operators, technologies, markets and industry use cases. The project itself demonstrates the collaborative model it seeks to establish. China Mobile contributes an operator environment, sovereign intelligence context and real-world validation, while Huawei, its technology enables LUM (Large User-purchase-intent Model), Telecom Knowledge Graph, Living Digital Twin and Smart Decision capabilities. IOH contributes home-operator intelligence and cross-operator journey validation. Econet tests the portability of the model across another operator and market context. MatreComm enables the digital customer and roaming experience. Whale Cloud contributes agentic orchestration, intelligence composition and governance capabilities. Telin connects these contributions through the AIX ecosystem and commercial orchestration layer, aligning the product lifecycle, partner relationships, standards and value-sharing model. No single member could demonstrate Trusted Intelligence Commerce alone. The value comes from combining complementary operator environments, intelligence capabilities, customer journeys, governance controls and commercial roles around one shared mission: enabling organisations to exchange trusted decisions without exchanging the customer data used to produce them. For CSPs, AIX creates a path beyond connectivity and internal analytics towards becoming trusted intelligence providers. For enterprises and ecosystem partners, it creates a consistent way to access high-value intelligence for customer engagement, identity, fraud prevention and digital trust. For ecosystem orchestrators such as Telin, it creates a scalable role in connecting sovereign intelligence providers and consumers through a secure and commercially viable exchange. Explore the project demonstrations, decks and technical assets to see how AIX moves from product discovery to permission, decision, action, evidence, payment and learning and how a simple customer choice can become a trusted, accountable, multi-party commercial transaction. Data stays sovereign. Trusted intelligence is exchanged. Every contributor earns its share.