Company: Epsilon
Vikrant Payal, Senior Director, SaaS Operations and Engineering
“This National Technology Day, we reflect on how the last few years have drastically reduced friction in the journey from development to deployment. At the same time, AI has empowered business users to demand more and demand it faster.
In such a frictionless system, risk does not disappear. It multiplies. The only way to avoid chaos and 'death at prototype' is maintaining a sharp focus on the purpose and intended value of the solution. We have replaced friction with feedback. Fast intentional feedback has been our compass, helping us turn velocity into value.
This is a fundamental shift from the traditional SDLC. We now build in constant dialogue with our users, learning early, correcting quickly, and staying relentlessly focused on purpose. This is not simply a faster software lifecycle, but something more powerful, a continuously active business enablement lifecycle, always learning, always evolving.
This is not a phase or a methodology. It is a mindset. And it defines how we will continue to build meaningful technology in an AI first world.”
Company: Embark
Prasad Panchagnula - MD & Chief Business Officer at Embark
“GCCs have moved decisively from AI experimentation to enterprise-scale adoption, with centres now investing in Agentic AI and a growing number establishing dedicated innovation teams to globalise ideas. That signals a clear shift in capability.
However, capability alone does not equate to responsibility. As organisations scale AI, the real challenge is no longer deployment, but clarity and understanding where AI is creating measurable value, how it is being used across workflows, and whether it is being governed effectively. Responsible AI 2.0 demands transparency, governance, and ethical assurance through continuous validation and the ability to connect AI activity to business outcomes.
The most successful GCCs today are moving towards hybrid agentic operating models, where human expertise and autonomous systems work in tandem. In these environments, human teams define strategic intent, establish guardrails, and ensure accountability, while AI drives execution at scale. Getting that balance right, across geographies, functions, and evolving use cases is where India's GCCs are being truly tested.
At Embark, we believe responsible innovation must be engineered into the system from the outset. When we build GCCs, we integrate technology, governance, and measurement into a single operating framework as inclusive growth will not come from access to AI alone, but from the ability to scale it responsibly, transparently, and with clear impact.”
Company: GoTo
Sivakumar Ekambaram, India Site Leader, GoTo
“Responsible innovation is no longer about what we build, but who it truly reaches and enables. In a market as diverse as India, technology must be designed to include, not exclude. That calls for solutions that are simple to adopt, secure by design, and accessible to businesses at every stage of their digital journey.
At GoTo, we are seeing AI move from experimentation to everyday utility. When applied thoughtfully, AI can take on repetitive IT tasks, speed up issue resolution, and help teams stay focused on higher-value work. The real impact lies in making these capabilities intuitive and reliable, so they support both technical and non-technical users without adding complexity.
Cloud communications and IT support have become the foundation of distributed work. As organizations scale across locations, the focus must remain on reducing friction and strengthening trust. Inclusive growth will come from ensuring that advances in AI and cloud technology translate into tangible improvements in how people work, collaborate, and stay productive.”
Company: Agora
Spokesperson: Ranga Jagannath, Senior Director - Growth, Agora
“India’s digital ecosystem is entering a phase where responsiveness is becoming as important as reach. Whether it is a customer resolving a query instantly, a patient accessing remote consultation, or a user navigating services in their preferred language, expectations have shifted toward interactions that are immediate, reliable, and intuitive. AI is playing a central role in enabling this shift, but it also brings governance, security, and accountability into sharper focus as these systems become deeply embedded in everyday use.
The challenge is to ensure these systems work reliably and fairly at scale. Concerns around accuracy, bias, and misuse are becoming more visible, especially in a diverse environment where connectivity, device capability, and digital literacy vary widely. This makes it critical to build systems that are secure, transparent, and consistent in performance.
At Agora, we see Conversational and Voice AI becoming foundational to how people engage with businesses, services, and digital platforms. From enabling real-time multilingual interactions to powering intelligent, context-aware experiences that feel natural and intuitive, these technologies are reshaping communication at scale. Our real-time engagement and AI capabilities are designed with reliability, low latency, security, and trust at their core, ensuring meaningful and inclusive interactions across diverse user environments. On National Technology Day, it is important to recognise that technology delivers the greatest impact when it enhances human connection, expands accessibility, and works seamlessly for the people it is designed to serve.”
Company: Intellect Design Arena Ltd
Deepak Dastrala, Chief Technology Officer, IntellectAI
"National Technology Day highlights the growing need for trusted, scalable innovation that delivers measurable business outcomes. As enterprises accelerate AI adoption, the industry is shifting from experimentation and pilots to Business Impact AI, in which organisations embed AI into core business operations to drive faster decision-making, operational resilience, compliance, and customer-centric growth.
For regulated industries, AI can no longer remain at the edge of the enterprise. It must operate safely, reliably, and measurably within existing systems, controls, and decision-making processes, with governance, auditability, and trust built in from the start. At Intellect, we believe the future of enterprise transformation will be driven by Business Impact AI. With the emergence of 'Enterprise AI on Tap' and platforms such as Purple Fabric, organisations now have access to judgment-centric, governance-ready AI capabilities that can be securely deployed at scale across critical enterprise workflows.
As AI adoption matures, trust, sovereignty, explainability, and compliance will become foundational to how enterprises build and operationalise AI. India’s innovation ecosystem is well-positioned to lead this transition by developing globally relevant, enterprise-grade AI solutions that combine responsible innovation with scalable, inclusive business impact. The next phase of growth will belong to organisations that can operationalise trusted AI with speed, intelligence, and purpose."
Company: Altimetrik
Anuradha Natarajan, Head of Technology Strategy and Engineering Operations
“AI is emerging as the next defining layer of India’s technology journey, moving beyond experimentation to actively shaping decisions, operations, and outcomes at scale. As the country builds on its legacy of large-scale digital innovation, this shift marks a transition from enabling access to driving intelligent, real-time impact across industries.
However, with AI influencing areas such as finance, healthcare, and public services, the risks are becoming more consequential. Gaps in governance, data quality, and security are no longer technical limitations but systemic challenges that can impact trust, fairness, and resilience. Many organizations today are accelerating AI adoption without fully addressing accountability, creating blind spots around bias, explainability, and control.
Addressing this requires a fundamental reset. AI must be built with strong data foundations, transparent decision-making, and secure-by-design architectures. Equally important is ensuring inclusivity, designing systems that work across diverse populations and do not deepen existing divides.
At Altimetrik, the focus is on helping enterprises industrialize AI responsibly by embedding governance, risk management, and engineering discipline into every stage of the lifecycle, enabling scale without compromising trust.
On National Technology Day, as we reflect on the theme ‘Responsible Innovation for Inclusive Growth,’ the opportunity ahead lies in shaping AI that is not only transformative, but also accountable, inclusive, and built to deliver sustainable impact at scale.”
Company: Harness
Naresh Agarwal, SVP, Engineering, India, Harness
“Technology has reached a point where the question is no longer how fast we can innovate, but whether innovation itself is moving in the right direction. As AI, automation, and intelligent systems become deeply embedded into how industries operate, responsible innovation becomes less of a principle and more of a necessity.
The real challenge today is not the pace of technological advancement, but ensuring that scale does not outpace accountability. Systems are becoming more autonomous, decisions increasingly data-driven, and digital infrastructure now shapes everything from access and opportunity to trust and security. In that environment, innovation cannot be measured only by efficiency or output. It has to be evaluated by its ability to create systems that are resilient, transparent, and built for long-term impact, with Responsible AI becoming critical to ensuring that intelligence is guided by trust, oversight, and accountability at scale.
Inclusive growth is central to that conversation. Technology only becomes truly transformative when access to opportunity expands alongside it and when innovation is enabled across geographies, communities, and talent pools, rather than concentrated within a few ecosystems. Some of the most globally relevant technology today is being shaped by diverse teams operating from entirely different contexts and perspectives, and that diversity is leading to systems that are more adaptable, practical, and representative of real-world needs.
The next phase of innovation will depend on how intentionally we balance progress with responsibility. The focus can no longer be on building technology simply because we can, but on building systems that create lasting value, expand access, and strengthen trust at scale.”
