Tech Mahindra and Microsoft unveil ontology-driven Agentic AI platform for telecoms

Tech Mahindra and Microsoft today announced an ontology-driven "Agentic AI" platform for telecommunications operators and enterprises that they say will deliver explainable, auditable, real-time decisioning while enabling secure, governed deployment of AI agents. The platform is built on Microsoft Fabric and Azure AI Foundry and integrates Microsoft IQ components to link AI, data, and business context.

Tech Mahindra framed the offering as a semantic-first system that converts enterprise metadata into structured, reusable data products and fast-tracks data mesh adoption from strategy to execution. The company said the platform provides a governed semantic foundation for explainable insights, real-time decisioning, and cross-domain intelligence. Amol Phadke, Chief Transformation Officer at Tech Mahindra, said: “Telecom operators are moving beyond AI experimentation toward scalable intelligence that delivers measurable business outcomes. Our ontology-driven Agentic AI platform, developed with Microsoft, provides a governed semantic foundation for explainable insights, real‑time decisioning, and cross‑domain intelligence. This reinforces Tech Mahindra’s position as a strategic AI‑led transformation partner for global telecom enterprises.”

Microsoft’s contribution centers on its Fabric and Azure AI Foundry infrastructure and what the companies described as Microsoft IQ capabilities—Work IQ, Fabric IQ, and Foundry IQ—to give agents operational awareness. Monte Hong, Global Director for Telecommunications Industry Strategy at Microsoft, said: “For telecoms, realizing value from scalable AI depends on intelligence and trust. Built on Work IQ, Fabric IQ, and Foundry IQ, Microsoft IQ connects AI, data, and business context, giving AI agents deep awareness of operations, decision‑making, and customer interactions. This accelerates decisions, improves experiences, automates networks, and enables AI‑based monetization. Leveraging Microsoft IQ, Tech Mahindra automates data products through its Agentic AI‑powered Data Product Manager and delivers a telecom‑specific, ontology‑driven AI foundation using its Telecom Native Ontology and Knowledge Graph.”

The companies positioned the platform to address industry pain points as telecoms grapple with complex, fragmented data estates and post-merger integration. Tech Mahindra identified specific telecom use cases for the system including churn prediction, fraud detection, revenue assurance, and network optimisation. The vendor claims a semantic-first design will reduce hallucination risk, improve root-cause analysis, and support compliant AI operations in regulated environments. Multi-agent orchestration is described as enabling real-time monitoring, reasoning, and recommendations across these use cases.

Tech Mahindra also presented the announcement in the context of broader AI initiatives in its corporate materials. Those materials highlighted TechM Orion, described as a next-generation AI agent development and deployment platform built on the NVIDIA AI software stack, and included a comment from John Fanelli, Vice President, Enterprise Software Products at NVIDIA: “Agentic AI is redefining how work gets done—enabling software to perceive, reason and act across complex tasks. Tech Mahindra’s Orion platform, built on the NVIDIA AI software stack, brings this vision to life by helping organizations deploy intelligent agents that manage multi‑step workflows, advancing adoption across industries and improving operational efficiency.” Tech Mahindra also referenced Project Indus 2.0, its multilingual large language model, and its “AI Delivered Right” strategy launched in April 2025.

The companies say the platform aims to accelerate telecom data modernisation and help operators move from experimentation to scalable, governed AI deployments, though they have not released independent performance metrics or named pilot customers. Tech Mahindra and Microsoft present the initiative as a combined push to connect AI, data, and business context for telecoms seeking measurable operational and monetization outcomes.