Services
Cloud
Enabling Enterprise Agility & Resilience with a Robust Cloud Strategy
Highlights
- Organisations are shifting from ticket-centric support to delivering seamless employee experiences and higher productivity.
- Artificial intelligence (AI) helps predict issues, automate resolutions, and reduce workplace disruptions before they impact users.
- Connected platforms, intelligent workflows, and strong governance enable secure, productive, and future-ready workplaces.
- Balanced governance and human expertise ensure AI enhances decision-making while maintaining trust and control.
Why the future of employee experience depends on intelligent, integrated operations
The digital workplace is entering a new era. As hybrid work matures and artificial intelligence (AI) becomes embedded across enterprise technology environments, organisations are rethinking what workplace support should deliver. The conversation is no longer centred on resolving incidents faster. It is increasingly focused on creating experiences where employees encounter fewer disruptions, remain productive wherever they work, and have seamless access to the tools and support they need.
This shift reflects a broader evolution in workplace strategy. Historically, support organisations were measured through operational metrics such as ticket volumes, service levels, and mean time to resolution. While these remain important, they are no longer sufficient indicators of workplace success. Enterprises are now prioritising employee experience, business resilience, and productivity outcomes, recognising that every interruption whether caused by a device, application, network, or access issue has a direct impact on workforce effectiveness.
This was the theme of discussion in a podcast featuring experts from Everest Group, Tata Consultancy Services (TCS), and GoTo. It dwelt on AI-native workplace operations, remote support innovation, employee experience, governance, and the future of intelligent workplace services.
The podcast underscored a key point: the most impactful AI is often invisible to the user. By autonomously diagnosing endpoint issues, surfacing relevant knowledge, resolving routine incidents, and identifying patterns that signal future disruptions, AI helps reduce friction rather than add complexity. This allows support teams to focus on higher-value activities while enhancing the employee experience’
Achieving this vision requires more than isolated tools. Employee productivity is shaped by an interconnected ecosystem that includes devices, applications, networks, collaboration platforms, security frameworks, and support services. Creating a truly seamless workplace, therefore, depends on bringing these elements together through integrated platforms, shared intelligence, and unified workflows.
This is where collaboration between technology providers and transformation partners becomes critical. TCS’s expertise in workplace transformation, AI-native operating models, and large-scale enterprise integration, combined with GoTo’s capabilities in remote support, endpoint management, and AI-enabled IT operations, can help organisations move beyond fragmented support environments to deliver connected, experience-led workplace services.
At the same time, organisations must balance innovation with responsibility. Trust, governance, observability, and human oversight remain essential as enterprises increase AI-driven autonomy.
Successful adoption depends on establishing clear guardrails, robust knowledge foundations, and operating models that ensure AI enhances human decision-making rather than replacing it.
As enterprises look ahead, the opportunity is clear: create resilient digital workplaces where disruptions are prevented before they occur, employee experiences are continuously optimised, and support becomes an enabler of business performance. Those that successfully combine AI, automation, integrated platforms, and human expertise will be best positioned to unlock the next generation of workplace productivity and innovation.
Key highlights of the podcast:
- The transition from ticket-centric support to experience-led workplace operations
- AI-native operating models and the evolution of autonomous support
- Leveraging telemetry, knowledge, and analytics to enable predictive operations
- The role of remote support and endpoint management in hybrid workplaces
- Balancing AI autonomy with governance, trust, and human oversight
- Building unified workplace ecosystems through platform and service integration
- Measuring success through productivity, resilience, and employee experience outcomes
Srivatsan Chandramouli
Technology Head - Strategy, Deployment and Governance- Cloud business unit, TCS
Get in TouchIt's not about how fast we resolve incidents anymore; it's about how we increase the mean time between failures and create a zero-glitch workplace experience.
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Participants
Srivatsan Chandramouli
Technology Head - Strategy, Deployment and Governance, Cloud business unit, TCS
Srivatsan is a digital workplace and infrastructure transformation leader with extensive experience in AI-led workplace services, cloud, automation, employee experience, and autonomous operations. He works with global enterprises to build AI-native workplace ecosystems.
Prabhneet Kaur
Practice Director, Digital Workplace Services, Everest Group
Prabhneet advises enterprises, service providers, and technology vendors on digital workplace transformation, employee experience, workplace technologies, and future-of-work strategies. She leads research and industry conversations on emerging workplace trends.
Chris Savio
Head of Marketing, Remote Solutions Group, GoTo
Chris leads marketing for GoTo's remote support and IT management solutions portfolio. He specializes in remote support, endpoint management, workplace productivity, and the application of AI to modern IT operations and employee experiences.
