Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?

I bring 25 years of experience helping organizations strategize and optimize technology adoption—simplifying complex application landscapes, transforming business operations, and driving measurable impact. My work spans enterprise backbones like ERP, decision-enabling data analytics, cloud migration strategies, and next-generation automation technologies, including AI and ML.

Q2. How would you describe the scale and pace at which the enterprise tech services market has transformed in the last 5–7 years?

Over the past 25 years, I’ve seen the enterprise technology market evolve in distinct waves, shifting roughly every 5–7 years. The late 1990s to early 2000s were defined by ERP as the operational backbone. This was followed by a wave of business enablers—CRM, EPM, and BI/Data Analytics—that empowered decision-making and process efficiency. Over the last several years, Cloud and Automation have dominated strategic agendas.
Despite this evolution, the fundamental objectives for enterprises remain the same: grow revenue and reduce cost. Today, data has become the new currency driving these strategies, and any meaningful transformation must be underpinned by Automation, AI, and ML to deliver speed, scale, and measurable impact.

Q3. Which emerging needs — whether around AI governance, supply chain resilience, or customer personalization — seem poised to reshape existing market boundaries or create entirely new ones?

There are two parallel realities shaping today’s enterprises: the physical world and the digital world. In the real world, supply chain disruptions, tariffs, and geopolitical instability persist, continually creating uncertainty. Enterprises increasingly expect their digital systems to reflect these realities in real time—so they can take proactive and preventive action rather than simply reacting.
This shift underscores the crucial need for real-time visibility across operations and for organizations to become agile and resilient by integrating AI and ML into every aspect of their operations. The goal is no longer just efficiency—it’s the ability to sense, predict, and adapt at the speed of change.

Q4. How have you seen the market opportunity evolve across different geographies — for instance, how would you compare enterprise tech spend trends in North America, Europe, the Middle East, and Asia-Pacific?

Over the past decade, technology spending in the Asia-Pacific and the Middle East has surged, closing a gap that once left these regions behind in terms of adoption. Today, digitization is everywhere—whether buying cars, purchasing homes, or planning travel. We’ve entered the era of the consumerization of the digital world, where expectations set by personal digital experiences now drive enterprise technology strategies as well.

Q5. What kinds of players — whether large incumbents, cloud-native firms, or niche specialists — are shaping enterprise buying decisions today?

Large system integrators continue to lead enterprise-scale transformations—managing application consolidation, end-to-end services, and complex global rollouts. At the same time, niche consulting firms are driving innovation in emerging technologies such as Cloud, Automation, and AI, bringing specialized expertise and speed that complement the scale of larger players.

Q6. In recent years, how have enterprise purchasing criteria shifted — especially with the rise of AI, cloud-native solutions, and platform-based models?

Two decades ago, enterprises focused on a few core systems—ERP was the transactional backbone —and large-scale consolidation occurred both within organizations and among product vendors like SAP and Oracle, which acquired niche solutions to expand their suites.
Today, the paradigm has shifted to best-in-class architectures. Enterprises adopt cloud-native point solutions to solve specific business needs, integrating them with the broader application landscape as required. These solutions increasingly incorporate AI to deliver more innovative functionality out of the box. Unless compliance mandates or manufacturing latency issues require on-premises deployments, the preference is now firmly cloud-first.

Q7. If you were an investor looking at companies within the space, what critical question would you pose to their senior management?

As an investor, I would take a balanced view of a company’s application and system landscape, assessing both its complexity and modernity. A landscape that is overly complex and dated isn’t just a risk—it’s an opportunity. By simplifying and modernizing these systems, you can unlock operational efficiencies, accelerate transformation, and ultimately increase enterprise valuation.