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AI for vehicle: Open telecom AI infrastructure (OTAI) - Phase II

URN C26.0.976

Topics 5G, AI (Artificial Intelligence), Open Digital Architecture (ODA)

This Catalyst addresses the problem of siloed AI solutions by enabling multi-agent collaboration for connected vehicle services. The solution enables all agents in the ecosystem to work together safely, without custom integrations.

Project companies

Connected-vehicle services span multiple domains—including telecom networks, automotive OEMs, cloud platforms, and city infrastructure—yet today their AI systems operate in silos. This fragmentation drives slow issue resolution, high integration costs, and inconsistent service quality, limiting the scalability and ROI of 5G B2B vehicle services for communications service providers (CSPs). The AI for Vehicle: Open Telecom AI Infrastructure (OTAI) – Phase II Catalyst addresses this challenge by introducing OTAI as a shared, open AI control layer that enables safe, standardized collaboration between AI agents across vendors and domains. Building on a successful Phase I Catalyst that demonstrated the value of multi-agent AI for connected-vehicle services, Phase II industrializes the solution by replacing custom, point-to-point integrations with reusable, interoperable AI interfaces and built-in governance. OTAI treats AI as infrastructure rather than isolated solutions. It allows heterogeneous AI agents—spanning network, cloud, automotive, and partner systems—to coordinate decisions, validate actions, and operate under common policy and trust controls. This enables faster incident resolution, lower integration and operational costs, and improved service stability, while accelerating partner onboarding and time to revenue for 5G B2B services. Aligned with TM Forum principles including Autonomous Networks, Open Digital Architecture (ODA), and Open APIs, the Catalyst demonstrates how AI for Vehicle can move from isolated innovation to a scalable, repeatable operating model. Success is measured through tangible business and operational outcomes, including reduced mean time to repair, lower integration effort, improved service availability, and increased reuse of AI components across services and partners. By enabling interoperable, governed AI collaboration at ecosystem scale, OTAI positions CSPs to evolve from system integrators to AI-enabled ecosystem leaders—unlocking sustainable growth in connected-vehicle and broader 5G B2B markets.