Hexaware launches AI platform to manage and fix enterprise IT issues

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The company has launched an AI-driven platform that analyses live IT system signals, identifies issues and recommends fixes, aiming to reduce manual effort and improve speed and efficiency in enterprise IT operations.

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Hexaware launches AI platform to manage and fix enterprise IT issues

Hexaware Technologies has launched Tensai for Reasoning Ops, the first generally available operating stage of its Tensai Agentic ITOps platform, aimed at bringing agentic AI to enterprise IT operations.

According to the company, the platform enables AI agents to read live operational signals, reason over enterprise context and recommend evidence-backed actions, while human experts validate and execute those recommendations. The company said the platform is designed to help enterprises move from resolving IT issues faster to reducing demand for support altogether.

Hexaware said Tensai for Reasoning Ops addresses limitations of traditional automation, where scripts and runbooks automate tasks but cannot interpret context or work across systems. The platform uses operational data from observability tools, configuration management databases (CMDB), topology, change and dependency data to support decision-making.

The company said the platform operates through a continuous loop covering detection, evaluation, verification, action and learning, with decisions based on operational signals and enterprise context.

Hexaware said the platform is built on four key principles: evidence-based recommendations, policy-aware decision-making, cross-tower reasoning across operational silos and continuous learning from validated outcomes.

The company said Tensai for Reasoning Ops marks the first live stage in its Tensai maturity journey from Traditional Ops and Automation Ops to Autonomous Ops and Preventive Ops. Initial outcomes are focused on improving operational efficiency, service quality and reducing IT demand.

Measured against each customer's pre-AI baseline, Hexaware said the platform is benchmarked to target 25–40% faster mean time to resolution (MTTR), 35–45% lower manual intervention, 10–18% lower cost-to-serve, 10–20% improvement in SLA performance and user experience, and a 5–12% reduction in incident demand. The company noted that actual results will vary by customer environment and will be validated through customer-specific baselining.

Shares of Hexaware Technologies closed 0.88% lower at ₹514.85 on the NSE.

(Edited by : Prashant)

First Published: 

Jun 30, 2026 7:11 PM

IST

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