Hexaware launches Tensai for Reasoning Ops to bring Agentic AI to IT operations
Hexaware Technologies launched Tensai for Reasoning Ops, the first generally available stage of its Tensai Agentic ITOps platform. The solution uses evidence-based agents to shift IT operations from resolving demand to removing it, addressing limitations in traditional scripts. Projected improvements include a 25–40% faster Mean Time To Resolve (MTTR) and 35–45% lower manual touch.

*this image is generated using AI for illustrative purposes only.
Hexaware Technologies announced the launch of Tensai for Reasoning Ops, the first generally available operating stage of its Tensai Agentic ITOps platform designed to bring reasoning capabilities to enterprise IT operations. The solution aims to shift IT operations from simply resolving demand faster to removing it altogether by using agents that read live operational signals, reason over enterprise context, and recommend evidence-backed actions for human validation. This development is significant as it addresses the limitations of traditional scripts and runbooks which cannot interpret context or work across systems, thereby closing the gap in system-level intelligence.
The platform grounds decisions in operational context derived from observability, configuration management database (CMDB), topology, change, and dependency data. Tensai for Reasoning Ops operates on a continuous, governed loop moving from detection through evaluation, verification, action, and learning. The model is distinguished by four core principles: evidence-first recommendations, policy-aware decisions checked against risk, cross-tower reasoning across silos, and a self-improving mechanism where validated outcomes enhance future decisions.
Targeted Operational Improvements
Measured against a customer’s pre-AI baseline, the platform is benchmarked to deliver specific efficiency gains. The company has outlined projected improvements across key operational metrics.
| Metric | Projected Improvement |
|---|---|
| Mean Time To Resolve (MTTR) | 25–40% faster |
| Manual Touch | 35–45% lower |
| Cost-to-Serve | 10–18% lower |
| SLA and User Experience | 10–20% better |
| Incident Demand | 5–12% lower |
R Srikrishna, CEO & Executive Director of Hexaware, stated that the platform assists enterprises in moving from reactive support to autonomous, self-healing IT operations. He added that the integration of reasoning, evidence, and governance helps clients reduce manual intervention and improve SLA reliability. Siddharth Dhar, President & Global Head – AI at Hexaware, noted that the solution enables organizations to address the causes of demand rather than merely responding to it, thereby reducing predictable demand before it enters the IT operations queue.
Tensai for Reasoning Ops represents the first live stage in Hexaware’s maturity journey, which progresses from Traditional Ops and Automation Ops to Autonomous Ops and Preventive Ops. The solution is immediately available to mid-to-large enterprises, with results to be validated through customer-specific baselining and the Tensai Customer Value Scorecard.
Historical Stock Returns for Hexaware Technologies
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| -0.88% | +3.27% | +1.35% | -30.55% | -39.47% | -32.48% |
How will competitors in the IT operations space respond to Hexaware's shift toward reasoning-based automation?
What are the potential risks or challenges enterprises might face when integrating Tensai into their existing IT workflows?
Could the success of Tensai for Reasoning Ops accelerate the adoption of fully autonomous IT operations across industries?































