Tecnotree, Databricks, and Dell Technologies jointly demonstrate how Model‑as‑a‑Service (MODaaS) can be delivered at enterprise scale. Tecnotree contributes the Intelligent Decision Layer (IDL)—the orchestration, governance, and decisioning framework at the heart of the Tecnotree Sensa Model Gateway—while Databricks provides the foundational data and AI platform, including Unity Catalog and MLflow, enabling organizations to confidently deploy, manage, and evolve AI models while maintaining control over cost, quality, and risk. As a co-chair in the foundational blueprint design, Dell Technologies provides the architectural sovereign anchor for the ecosystem alongside Tecnotree and Databricks. At the core of the hybrid solution is Tecnotree's unified model access layer within the IDL, which standardizes how applications consume AI models, making it easier to swap, compare, and evolve models as the ecosystem rapidly changes. Centralized discovery and cataloguing powered by Databricks Unity Catalog allow teams to find the right model for each use case, enriched with metadata, tags, and performance signals, while Tecnotree's governance framework ensures models are managed consistently and responsibly across the enterprise. Dell hosts the on-premises models within its Open Telco Ecosystem (OTEL) Labs. This on-prem infrastructure is seamlessly interconnected with the TM Forum Innovation Hub (for this catalyst), which is subsequently accessed and managed by the central control plane of Databricks; specifically unlocking the Sovereign AI opportunity for telecom operators. Operational control and resilience are delivered through the combined capabilities of Tecnotree's Sensa Model Gateway and the Databricks AI Gateway, providing traffic routing, rate limiting, and failover, complemented by open telemetry‑based observability. End‑to‑end traceability captures inputs, outputs, token usage, and performance metrics creating a transparent audit trail that supports compliance, troubleshooting, and continuous optimization. Quality, lifecycle management, and cost visibility are embedded through MLflow and Databricks platform system tables, enabling continuous evaluation, monitoring against golden datasets, and detailed FinOps reporting. Together, this collaboration delivers a practical, standards‑aligned MODaaS blueprint aligned to TM Forum GB1085 helping enterprises move faster with AI while maintaining trust, governance, and operational confidence.