India is not short of ambition when it comes to artificial intelligence.
Over the past two years, enterprises across sectors have announced AI initiatives at an unprecedented pace. Banks are deploying intelligent assistants, insurers are experimenting with automated claims processing, manufacturers are investing in predictive operations, and government agencies are exploring AI-powered citizen services. Boardroom conversations have shifted from whether to adopt AI to how quickly it can be scaled.
Yet despite the excitement, a critical reality is becoming increasingly apparent. Most organizations do not suffer from an AI deficit; they suffer from an orchestration deficit.
The vision of Viksit Bharat @2047 is not simply about building a larger economy; it is about building a more capable, responsive, and globally competitive nation. Achieving that ambition will require enterprises and public institutions to operate with unprecedented speed, agility, and intelligence. AI will undoubtedly play a critical role.
The competitive advantage of the future will come from building enterprises that are prepared for what comes next. In many ways, the challenge is to stay ahead of what's ahead and create operating models that can continuously absorb new technologies, new business models, and new customer expectations without introducing greater complexity.
The AI Paradox
Most large enterprises already possess the raw ingredients needed to become intelligent organizations. They have accumulated vast amounts of data, operate sophisticated applications, and have invested in automation platforms, cloud infrastructure, analytics tools, and, increasingly, AI capabilities. Yet many continue to struggle with the same business challenges: fragmented customer experiences, disconnected processes, operational inefficiencies, and slow decision-making. The reason is simple. Intelligence exists in pockets.
An AI model may generate an insight. A workflow system may automate a task. A customer platform may capture valuable information. A document management system may contain critical business knowledge. But if these capabilities operate independently, the result is an organization that is intelligent in parts, but not intelligent as a whole.
Why More AI Isn't Necessarily the Answer
There is a growing tendency among enterprises to view every operational challenge through the lens of AI adoption. However, adding more AI to disconnected environments can sometimes amplify complexity rather than eliminate it.
Consider a lending process. Customer onboarding, document verification, credit assessment, compliance review, risk evaluation, approvals, and servicing may each have their own systems and workflows. Introducing AI into one or two stages can improve efficiency locally, but the customer experience remains constrained if the broader journey remains fragmented. Likewise, in government, intelligent document processing alone does not improve citizen services unless the extracted information advances the case, application, or service request. The fundamental problem is rarely intelligence generation. It is coordinated orchestration.
India's Next Transformation Challenge
India's digital transformation story has been remarkable. The country has demonstrated how technology can be leveraged at scale to transform banking, public services, payments, and business operations.
The next phase of that journey will be more challenging. Organizations must move beyond digitizing individual functions and begin connecting them into cohesive, outcome-driven ecosystems. This is particularly important as AI becomes more deeply embedded into enterprise operations.
Research cited by banking industry analysts suggests that generative AI could create between $200 billion and $340 billion in annual value for the global banking sector alone. However, most of that value will come from organizations that can operationalize intelligence across customer journeys, business processes, content systems, and decision frameworks. The winners in the AI era will not necessarily be those deploying the most models. They will be those capable of turning intelligence into coordinated action.
The Missing Layer: Enterprise Orchestration
Every enterprise operates through five interconnected elements: people, processes, content, systems, and decisions.
Over the past two decades, organizations have invested heavily in improving each of these areas. Processes have been automated, enterprise content digitized, systems modernized, and vast amounts of data made available for analysis. More recently, explainable, governed, and accountable AI has been introduced to generate insights, recommendations, and predictions at scale. Despite these advancements, many enterprises continue to struggle with translating intelligence into coordinated action.
Customer journeys, operational decisions, compliance workflows, and service experiences rarely reside within a single system or department. They depend on the ability of information, decisions, workflows, and people to move together with context and purpose.
This is where enterprise orchestration becomes critical, as it provides the connective tissue that brings together workflows, content, AI, business rules, enterprise systems, and human expertise into a unified execution model. Its role is not simply to help organizations do things faster; it is to help them operate more coherently. By embedding intelligence directly into the flow of work, orchestration ensures that insights are translated into actions, decisions are executed in context, and processes remain aligned to broader business objectives.
Ultimately, the distinction goes beyond technology. Automation improves the efficiency of individual activities. Orchestration enables the enterprise to function as a coordinated system.
From Digital Enterprises to Intelligent Enterprises
For years, digital transformation has focused on making organizations faster and more efficient. The AI era demands that enterprises become adaptive, connected, and capable of acting intelligently across every interaction, decision, and process.
India's enterprises have already accumulated significant technological capability. The question now is not whether they can generate intelligence. The question is whether they can orchestrate it. Because the organizations that lead the next decade will be the ones that make AI, people, processes, content, and systems work together as one intelligent enterprise.
About Author :
Pramod Kumar is the Chief Growth Officer at Newgen Software and brings a unique combination of experience in technology, product, strategy, marketing, and business leadership. Over his 27-year career at Newgen, he has held leadership positions across Product Management, R&D, Strategy, Marketing, Business Development, and Regional Operations, providing him with a comprehensive perspective on enterprise growth.
Pramod has played a significant role in driving market expansion and building scalable growth engines for the organization. Most notably, he led the rapid growth of Newgen's APAC business, helping increase regional revenues from approximately ₹73 crore to ₹237 crore over five years, representing a CAGR of nearly 27%. He was instrumental in acquiring 75 logos in APAC and in establishing and scaling Newgen's government business in the region, which today contributes a significant share of the company's public sector portfolio.
Throughout his career, Pramod has championed growth through strategic partnerships, market expansion initiatives, advisory networks, and ecosystem development. His appointment as Chief Growth Officer reflects Newgen's commitment to accelerating growth through stronger alignment across markets, products, partnerships, customers, and strategic initiatives.
As CGO, Pramod will focus on building a scalable enterprise growth engine, driving market expansion, strengthening ecosystem-led growth, and identifying new opportunities that support Newgen's next phase of global growth.
Education
MNNIT. B.Tech. Computer Science
IMI Dehi: MBA
ISB: Executive Education Program
Career Highlights
APAC growth: ₹73 Cr to ₹263 Cr over five years.
Built Newgen’s government vertical in APAC, which now contributes 52% of Newgen’s total government revenue.
Acquisition of 75 logos.
CAGR: approx. 27% over five years.
Government business scaled into a major regional growth contributor.
Strategic ecosystem and advisory-led market expansion.
Built out a senior advisory network to open access across logos.
Credited with 13 granted patents.
Built local partnerships to strengthen deal closure.
The above information is the author's own; Outlook India is not involved in the creation of this article.
