Hexaware ranks top in UK value for money in Whitelane study

1 min read     Updated on 03 Jul 2026, 03:57 AM
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Shriram SScanX News Team
AI Summary

Hexaware Technologies was recognized as an Exceptional Performer in Whitelane Research's UK & Ireland 2026 IT Sourcing Study, securing the #1 rank in Value for Money and #2 in Overall Satisfaction. The study, which surveyed 400 participants, also placed Hexaware #2 in Financial Services performance satisfaction and #3 in Application Services and Service Delivery.

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hexaware technologies has been recognized as an Exceptional Performer for Overall Client Satisfaction in Whitelane Research's UK & Ireland 2026 IT Sourcing Study. The independent survey results reflect strong client confidence in the company's AI-led delivery and execution capabilities within the UK and Ireland market. The study gathered feedback from close to 400 participants from top IT-spending organizations, evaluating over 1,000 unique IT sourcing relationships and 37 IT service providers.

Hexaware achieved the #1 ranking in Value for Money, underscoring the strong value delivered to clients. The company also secured the #2 position in Overall Satisfaction and ranked #2 in IT service provider performance satisfaction specifically for the Financial Services sector. Additionally, it attained the #3 spot in Application Services (IT Services Tower) and #3 in Service Delivery (KPI).

Key Performance Indicators

Category Rank
Value for Money #1
Overall Satisfaction #2
Financial Services Performance Satisfaction #2
Application Services (IT Services Tower) #3
Service Delivery (KPI) #3

The rankings validate Hexaware's AI-first, client-centric approach, with clients highlighting strengths in application services, domain expertise in insurance, and strong executive engagement. R. Srikrishna, CEO & Executive Director, stated that the rankings validate the company's success in deploying AI at scale to drive continuous innovation. Parameshwaran Iyer, EVP & Head – Europe & UK, emphasized that the UK and Ireland remain a priority market as the company strengthens local capability.

Jef Loos, Head of Research, Europe, at Whitelane Research, noted that the study is built on direct customer opinion and that Hexaware's rankings point to competitive performance in areas clients assess closely. These results build on the company's strong performance in the previous UK & Ireland study, where it ranked #1 in Overall Client Satisfaction and Application Services.

Historical Stock Returns for Hexaware Technologies

1 Day5 Days1 Month6 Months1 Year5 Years
-1.54%+10.46%-0.55%-27.52%-37.53%-28.32%

How will Hexaware leverage its top 'Value for Money' ranking to win new contracts in the competitive UK and Ireland market?

What specific AI-led initiatives does Hexaware plan to scale following the validation of its AI-first approach in the study?

Will Hexaware's strong performance in the Financial Services sector drive strategic expansion into other specialized verticals?

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Hexaware launches Tensai for Reasoning Ops to bring Agentic AI to IT operations

1 min read     Updated on 01 Jul 2026, 05:54 AM
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Reviewed by
Jubin VScanX News Team
AI Summary

Hexaware Technologies launched Tensai for Reasoning Ops, an Agentic AI platform for IT operations. It aims to reduce manual touch by 35–45% and improve MTTR by 25–40%.

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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 Day5 Days1 Month6 Months1 Year5 Years
-1.54%+10.46%-0.55%-27.52%-37.53%-28.32%

How will the transition from the current 'Reasoning Ops' stage to the future 'Autonomous Ops' and 'Preventive Ops' stages alter the platform's reliance on human validation?

What competitive risks does Hexaware face if major cloud providers or ITSM vendors integrate similar agentic reasoning capabilities directly into their existing ecosystems?

How will the platform handle data privacy and security concerns when reasoning over sensitive enterprise context across cross-tower silos?

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