As a long-time business owner in India, I’ve seen a recurring challenge in the mid-level technical workforce: tasks are often misunderstood, requiring repeated guidance and tying up managers’ time. The issue stems from gaps in comprehension and clarity, not ability. With Kaamfu’s supervisory AI copilots, managers can define clearer requirements while workers deliver more accurate outcomes. If scaled, such systems could systematically train India’s workforce, improving quality, employability, and global competitiveness in the age of AI.

---

I have lived and worked in India for nearly a decade and a half. In 2011, I formally registered my digital services agency, Prospus Consulting Pvt. Ltd., in New Delhi. We specialized in web and app development, but also in product and digital consulting. Over the years, Prospus has grown into a steady provider of employment and professional development for Indian engineers, designers, and analysts. Today, Prospus serves primarily as the back office for Kaamfu Inc., a Delaware corporation that is building AI-driven productivity tools.

In that time, I have worked with hundreds of Indian employees directly and interacted with thousands more across the vast mid-level technical labor market. Prospus has become a known name in certain circles, providing consistent and rewarding employment for many workers. By virtue of these years of experience, I have incidentally become something of a student of the strengths, challenges, and opportunities of Indian workforce.

One challenge has become especially clear. The majority of mid-level technical workers, even those with years of experience, tend to require what in the West would be described as “hand-holding.” A task assigned is often returned incomplete, inaccurate, or misaligned with expectations. This is not a one-off occurrence but a recurring pattern. Typically, it is solved only by breaking the work down into smaller steps, providing frequent reminders, and guiding the worker along until the desired result emerges.

At the heart of this challenge lies comprehension. Workers here often accept tasks without asking clarifying questions, and begin working immediately. This well-intentioned eagerness to comply leads to misunderstandings of requirements. By the time the deliverable is returned, it often diverges significantly from the manager’s intent. Over time, organizations resolve this by pairing such workers with a more senior manager to oversee them closely, effectively tying up two resources to accomplish one person’s output.

This issue does not stem from a lack of intelligence or effort. Rather, it reflects a systemic gap in communication, clarity, and managerial scaffolding. And yet, at scale, this creates friction not only for companies like mine, but for India as a nation. India commands the world’s largest labor pool, but often struggles with global perceptions of quality and reliability. If left unaddressed, this perception will only become more challenging to overcome as the global workforce undergoes rapid change with the rise of artificial intelligence.

At Kaamfu, we are working on a solution that I believe can have national significance. Without revealing all the details here, our supervisory copilots are being designed precisely to address this issue of comprehension and delivery. By pairing managers with agentic AI assistants, the process of scoping requirements becomes sharper and more unambiguous. Workers, in turn, receive more structured guidance and feedback loops, enabling them to produce outcomes that align with managerial intent without consuming as much managerial bandwidth.

But the promise goes further. If such systems do not merely enforce better outcomes, but also train workers to systematically ask questions, clarify, and verify before delivering, then India’s workforce could evolve dramatically. Imagine millions of mid-level engineers who not only complete tasks more reliably, but also develop into stronger, more autonomous contributors over time. This would not just serve companies like mine, but the nation as a whole.

India stands at the threshold of a new era. Artificial intelligence threatens to upend many established models of work and employment worldwide. Nations that adapt quickly by enhancing the quality, adaptability, and employability of their workforce will emerge stronger. Nations that do not risk seeing their largest asset, human capital, underutilized.

In this moment, I believe India has an opportunity. By embracing systems like those we are building at Kaamfu as scaffolds for better workforce training the government can deliver a national service: helping Indian workers not just remain competitive, but become indispensable in the age of AI.

…