Technology services company Tech Mahindra has partnered with Microsoft to introduce a new AI platform designed to simplify how telecom operators and enterprises manage and use large volumes of data.
The newly announced solution focuses on ontology-driven agentic AI, a model where AI systems can perform tasks autonomously while relying on a structured understanding of a company’s data, relationships and business rules. This structure helps the AI remain context-aware and deliver more reliable insights.
The platform is built on Microsoft Fabric and Azure AI Foundry. Together, these technologies allow organisations to deploy AI agents that can analyse data in real time, generate explainable insights and support auditable decision-making within secure and governed environments.
Telecom operators and large enterprises today often deal with fragmented data systems, especially as companies expand through mergers and acquisitions. As these ecosystems grow more complex, it becomes harder to convert enterprise data into meaningful insights that support quick business decisions.
Tech Mahindra and Microsoft say their joint platform is designed to bridge that gap. The system converts enterprise metadata into structured data products that can be reused across teams, helping organisations move more quickly toward a data-mesh approach.
The platform uses multiple AI agents that work together to monitor operations, analyse patterns and provide recommendations in real time. In the telecom sector, it can support tasks such as predicting customer churn, detecting fraud, ensuring revenue accuracy and improving network performance.
Because the platform is built with a semantic-first architecture, it aims to reduce AI hallucinations and improve the accuracy of analysis. It also helps organisations trace how decisions are made, which is important for companies operating in heavily regulated industries.
Amol Phadke, Chief Transformation Officer at Tech Mahindra, said many telecom companies are now shifting from experimenting with AI to implementing solutions that can deliver measurable results at scale. According to him, the new platform provides a structured and governed framework that enables explainable insights and real-time intelligence across multiple operational domains.
The system brings together several elements into one architecture, including governed datasets, semantic models, knowledge graphs and specialised AI agents. It maps key telecom entities such as customers, networks, revenue streams and operations, allowing organisations to generate insights that are traceable and compliant with regulatory standards.
Monte Hong, Global Director for Telecommunications Industry Strategy at Microsoft, said telecom companies need both intelligence and trust to unlock the full potential of large-scale AI. He explained that Microsoft’s “IQ” framework connects AI, data and business context so that AI agents can better understand operations and customer interactions.
By combining this framework with Tech Mahindra’s telecom-specific ontology and knowledge graph, the companies aim to help telecom providers automate data products, improve operational decisions and explore new AI-driven revenue opportunities.
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