In this exclusive interview with Mr. Praveen Joshi, MD & Founding Member of RSK Business Solutions, we explore how India is emerging as a global powerhouse for software development, enterprise AI, and digital transformation services. He shares deep insights on AI-driven operational efficiency, cloud modernisation, cybersecurity, data governance, and the growing importance of private AI platforms in shaping the future of enterprise technology.
IT Voice- How do you see India evolving as a global hub for software development and digital transformation services?
Praveen Joshi- India is no longer just the place businesses go to get software built at a lower cost. That chapter is largely behind us. What global enterprises are looking for now is a partner who can sit alongside them in their digital transformation journey, someone who understands their problems, knows their industry, and is in it for the long haul. India has grown into that role steadily, backed by genuinely strong engineering talent, a startup culture that keeps pushing boundaries, and decades of working closely with global markets.
The next phase belongs to firms that go deep rather than wide. Building real expertise in AI, cloud modernisation, cybersecurity, or industry-specific platforms will matter far more than competing on headcount. The goal is to be the partner businesses turn to when they need to think differently, not just the vendor they call when they need something executed.
IT Voice- What are the biggest technology trends currently shaping enterprise IT adoption in India?
Praveen Joshi- The most telling shift right now is that enterprises have stopped running pilots and started demanding outcomes. Experimentation had its moment. Now the question being asked in boardrooms is what this technology actually does for the business. AI is very much part of that conversation, but the focus has moved firmly toward applications that improve how people work, how customers are served, and how decisions get made day to day.
Cloud modernisation has not lost its relevance either, particularly for businesses that need their systems to scale and hold up under pressure. Cybersecurity has quietly become non-negotiable rather than a line item that gets trimmed. And more organisations are waking up to the fact that keeping their data scattered across disconnected systems is costing them real business intelligence. The overall direction is toward technology that earns its place through efficiency, not through novelty.
IT Voice- How is AI changing the way Indian businesses approach software development and operational efficiency?
Praveen Joshi- At the development level, AI is changing how work actually gets done. Coding, testing, debugging, documentation, and analytics are all moving faster because of AI-assisted tools, and that shift is only going to deepen. But the more significant change is happening in how businesses think about their operations. Rather than automating a task here and a process there, organisations are starting to step back and rethink entire workflows. AI is showing up in forecasting, customer support, compliance monitoring, and the speed at which decisions travel through an organisation.
Where businesses tend to go wrong is in expecting too much too quickly without doing the groundwork. Data quality, governance, and how AI fits into existing workflows are not afterthoughts. They are what determines whether the investment pays off. AI works when it is woven into the fabric of how a business runs, not when it sits alongside it as a separate project.
IT Voice- What challenges do Indian enterprises face while modernising legacy IT infrastructure and moving to cloud-based ecosystems?
Praveen Joshi- The technology itself is rarely the problem. What makes modernisation hard is the complexity sitting underneath it. Most enterprises have legacy systems that have been running critical functions for years, sometimes decades. They are deeply embedded in how the business operates, and untangling them without bringing things to a halt is a serious undertaking. Add data fragmentation, interoperability headaches, and compliance obligations on top of that, and cloud migration becomes a genuinely layered challenge.
Then there is the mindset question. When modernisation is framed as an IT initiative, it tends to move slowly and lose momentum. When it is treated as a business transformation, people across the organisation get behind it differently. Balancing cost, security, and scalability all at once does not get easier either. The organisations that handle this well tend to take a phased approach, maintain clear governance throughout, and stay anchored to what the business actually needs rather than what the technology makes possible.
IT Voice- How important is cybersecurity today for Indian organisations undergoing rapid digital transformation?
Praveen Joshi- It has become central in a way it simply was not before. Every step an organisation takes toward digital transformation, whether that is moving to the cloud, opening up APIs, connecting systems, or enabling remote access, adds to the surface area that needs protecting. The risk grows alongside the ambition, and that relationship is not going away.
The gap that still exists in many organisations is treating security as something to sort out after something goes wrong, rather than building it into the architecture from day one. Regulators are raising their expectations and customers are paying closer attention to how their data is handled, which makes that gap increasingly costly to maintain. Cybersecurity in this environment is really about keeping the business running and earning the trust of the people it serves. Organisations that treat it as an ongoing discipline rather than a periodic compliance exercise are the ones that will grow their digital presence sustainably.
IT Voice- With increasing demand for automation and data-driven decision-making, how are Indian businesses adapting to next-generation technologies?
Praveen Joshi- The orientation has shifted noticeably. Technology used to be adopted primarily to reduce manual effort. The conversation now is about using it to make better decisions and see more clearly across the business. Predictive analytics, AI-assisted workflows, and intelligent automation are all seeing serious investment, and that interest is coming from business leaders, not just technology teams.
The pace varies quite a bit depending on the sector. Finance, healthcare, and manufacturing are moving with more urgency because their operational complexity and compliance demands give them fewer reasons to wait. Other industries are taking a more cautious approach, which is not unreasonable given the implementation challenges involved. What is consistent across the board is a preference for technology that works with existing systems rather than requiring everything to be torn down and rebuilt. Organisations want value they can see and use, not transformation for transformation’s sake.
IT Voice- What opportunities do you see for Indian IT companies in serving global markets such as the UK, USA, and UAE?
Praveen Joshi- The opportunity is real, but it requires a different kind of ambition than what got Indian IT firms to where they are today. Clients in the UK and USA have moved past wanting technical execution. They want someone who understands their regulatory environment, their industry dynamics, and the business pressures they are navigating. That requires a consulting mindset alongside the technical capability, not one or the other.
The UAE is a genuinely exciting market right now. The pace of digital transformation there and the scale of infrastructure investment create real openings for firms that can show up with both depth and delivery. Indian IT has the engineering strength and the adaptability. The firms that turn that into lasting global partnerships will be the ones that invest in specialisation, build trust deliberately, and bring cultural awareness to how they engage with clients across different markets.
IT Voice- How is the startup ecosystem in India influencing innovation in enterprise software and IT consulting?
Praveen Joshi- Startups have brought a restlessness into enterprise technology that was not there before. They move faster, they question assumptions more readily, and they tend to solve very specific problems with a focus that larger firms often struggle to maintain. That sharpness is contagious. Established IT companies are being pushed to think more like product businesses, move in shorter cycles, and put the customer’s actual experience much closer to the centre of what they build.
For consulting firms, the impact is showing up in what clients now expect. The bar for speed and adaptability has been raised, and that is largely because clients have seen what focused, agile teams can deliver. The more interesting development, though, is that startups and established firms are increasingly finding ways to work together rather than around each other. That combination, startup innovation paired with enterprise-grade implementation, is where some of the most interesting work is happening right now.
IT Voice- What role will emerging technologies like Generative AI, IoT, and analytics play in India’s digital economy over the next few years?
Praveen Joshi- Each of these technologies carries its own promise, but the real story is what happens when they stop operating in separate lanes. Generative AI will keep improving how people work and how quickly good decisions get made. IoT will build out the connective tissue between physical operations and digital intelligence. Analytics will give organisations the ability to anticipate rather than just react.
Where this gets genuinely powerful is when the three come together. IoT generates data constantly across physical environments. AI makes sense of it at a speed no human team can match. Analytics turns it into foresight that shapes how a business plans and operates. Across manufacturing, logistics, and healthcare, that combination could change the fundamentals of how industries run. Getting there requires doing the less glamorous work first, building data foundations that are clean, connected, and governed properly. The organisations putting that effort in now are positioning themselves for an advantage that will be very difficult to close later.
IT Voice- Enterprise AI adoption often struggles due to fragmented data environments. How does a platform like Vaultiscan address this challenge?
Praveen Joshi- Most enterprise AI initiatives do not fall apart because the models are weak. They fall apart because the knowledge those models need to work with is scattered everywhere. Documents sitting in one place, databases in another, institutional knowledge spread across teams that rarely talk to each other. The result is that people inside large organisations spend a disproportionate amount of their time hunting for information rather than doing anything useful with it.
This is exactly the problem platforms like Vaultiscan are built around. The value is in creating a single intelligent layer where both structured and unstructured data can be queried in context, with full traceability over how answers are reached. That matters because enterprise AI only earns its place when the insights it surfaces are actionable, secure, and sitting inside the workflows people already use every day. An AI capability that lives outside the flow of work gets ignored. One that is woven into it gets used.
IT Voice- As enterprises become more cautious about data privacy and AI governance, how do you see the demand for private AI platforms evolving?
Praveen Joshi- The next wave of enterprise AI adoption is going to be built as much on trust as on capability. There is no shortage of interest in AI across industries, but a lot of organisations are genuinely hesitant about what happens to their sensitive information when it enters a public environment. That hesitation is strongest in sectors dealing with regulated data, proprietary intellectual property, or operations where confidentiality is not optional.
What is growing out of that caution is a clear demand for private AI ecosystems, platforms that give organisations real control over their data, meaningful governance over how AI behaves, and transparency into what is actually happening under the hood. Enterprises want the operational value that AI delivers, but they want it within boundaries they set and trust. Going forward, the platforms that win in this space will not just be the most capable ones. They will be the ones that give organisations genuine confidence in how their data is handled and protected.
