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Home » Blog » Hexaware Introduces Tensai® for Reasoning Ops, Advancing Enterprise IT with Agentic AI
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Hexaware Introduces Tensai® for Reasoning Ops, Advancing Enterprise IT with Agentic AI

BureauBy BureauJuly 1, 2026No Comments2 Mins Read
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Hexaware Technologies, a global provider of IT solutions and services, has introduced Tensai® for Reasoning Ops, the first generally available offering under its Tensai® Agentic ITOps platform. The solution is designed to help enterprises shift from reactive IT support to preventive, intelligence-driven operations.

Unlike conventional automation that relies on predefined scripts, Tensai® for Reasoning Ops continuously analyses live operational signals alongside enterprise data such as observability, CMDB, topology, change records and dependencies. It generates evidence-backed recommendations that are reviewed and validated by IT teams before execution, ensuring governance and policy compliance.

The platform is built on four principles—evidence-based reasoning, policy-aware decision-making, cross-functional intelligence and continuous learning. It forms the first operational stage in Hexaware’s roadmap toward autonomous and preventive IT operations.

“With Tensai® for Reasoning Ops, we’re helping enterprises move from reactive support to more autonomous, self-healing IT operations. The platform brings reasoning, evidence and governance into operational decisions, helping clients reduce manual intervention, improve SLA reliability and build a stronger path toward preventive operations,” said R Srikrishna, CEO & Executive Director, Hexaware.

“As enterprises adopt AI in IT operations, the opportunity is to go beyond faster ticket resolution and move toward reducing predictable demand before it enters the IT operations queue. Tensai® for Reasoning Ops helps organizations address the causes of demand rather than simply responding to it,” said Siddharth Dhar, President & Global Head – AI, Hexaware.

Available immediately for mid-to-large enterprises, the platform is expected to improve operational efficiency by reducing manual effort, accelerating incident resolution, enhancing service quality and lowering recurring incident volumes, with outcomes measured against each customer’s existing operational baseline.

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