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Under his cap lies a vision so grand, Moyukh, the saarathi, with solutions at hand.

Moyukh, the guide and problem solver, wearing a cap and envisioning grand solutions.

There’s a timeless song by Mohammad Rafi, enacted by Dev Anand Saab, which echoes the spirit of Moyukh for me.  The lines “Main Zindagi ka saath nibhata chala gaya, har fikar ko dhuee me udata chala gaya’’I walk through life, letting go of worries as I go. There’s a sense of Moyukh in it, of responsibility balanced with a deep sense of living in the moment. 

As the song continues, “Barbadiyon ka shok manana fizul tha, Barbadiyon ka jashn manaata chala gaya,”—I cannot think of anyone but Moyukh who lives life the way it should be. I often find myself venting about the many problems life throws at me, but Moyukh always responds with absurdly simple solutions—none of them “right” in the traditional sense, but they have a way of putting me at ease. “I love solving problems, just not life problems though,” he quips to me and Anisha, in typical Moyukh fashion. Ofcourse, he is everyone’s Dada. And just like that, with his words, the weight of the world seems a little lighter.

With college friends

I’ve always found myself drawn to Moyukh’s authenticity. There’s something undeniably comforting about his presence. He never gives you a straight answer. Once I made a black coffee for him, and he said, ” Umm, so bad, not very good”, and then ended up having 3 full cups. (lol) But, still, something that invites you to share your thoughts and worries, knowing you’ll receive both wise advice and a playful moment of laughter. He has been that friend, that confidant, and yes, maybe even that older brother figure (if I say father figure, he will kill me). He’s the person you turn to when the world feels a little too overwhelming. And, of course, there’s the ever-present Sillehti Bangla, or just Bangla where our shared love for music flourishes. I love giving him music suggestions because I know he’ll listen to every single one. And thus, the playful ‘Papa Moyukh to Shivpriya’ banter began.

Always, unmatchable.

Moyukh, in his inimitable way, says, “Jo puchna hai jaldi pucho,” and for the next two hours, he didn’t stop, and neither did we. 🙂

Moyukh tells us his story begins in Shillong, where his parents first found their footing in the world. His father worked for the Secretariat, and his mother in the Forest Department but for the boy Moyukh, the real adventure began when he was only three years old, and his family moved to Itanagar, a city still in its infancy. Itanagar wasn’t the bustling urban center; it was a small, tranquil settlement where every neighbor, whether a Chief Minister or a government clerk, was close enough to share a cup of tea and stories. Moyukh recalls those early years describing a place where life was simple but full of warmth. “It was quite cute and nice. Back then, the community lived in tight-knit harmony, and the town felt like a beautiful, untouched corner of the world. It wasn’t just a place to live; I fell in love with Itanagar’’ he says with a smile.

A childhood photo of Moyukh, capturing his early years of innocence and curiosity.
Archives from Itanagar, with Father Resp. Shri. Manju Gopal Goswami, Resp. Tripti Ma’am, Younger brother Shri. Monojit.
Life in Itanagar was like the pages of a book written with imagination and creativity. With limited resources, Moyukh’s childhood blossomed in the form of craft and adventure. His parents remained busy and didn’t hinder his playful exploration. “I loved it that they were busy and I used to do my own playing things,” he recalls with a chuckle. “Bunked school, went to the river with friends, watched nature, and fished and chilled.” 

He fashioned toys from bamboo, created kites from newspapers, and even built toy vehicles with the most basic materials. His love for building things extended to fishing rods made from bamboo sticks, and he’d spend hours perfecting his creations. The joy wasn’t just in the end product; it was in the process—the art of creating something with his own hands.

The family, recent picture.

His younger brother by 6 years – meant there were different friend groups, different worlds. Yet, despite the usual squabbles, Moyukh reflects with warmth on those years. The age gap may have kept them apart in their childhood, but over time, the bond grew stronger, and now, they share a closeness that’s both heartwarming and lasting. ( Let’s all read underneath, that Moyukh was a brat older sibling, maybe.)

“With very few facilities and a lot of determination, my parents made sure my brothers and I had everything we needed,” Moyukh reflects. “ The school, the only one in town, brought together children from every background—whether the child of a government official or a clerk, we were all under the same roof. It was a truly democratic environment,” he says, looking back fondly on a simpler time when life was more about community than competition.

After completing his schooling, Moyukh moved on to NERIST, the North Eastern Regional Institute of Science and Technology, where he studied engineering. “NERIST offered a unique curriculum with hands-on workshops in its early years,” he recalls. “It gave us a chance to learn by doing.” Moyukh, always drawn to building and fixing things, thrived in this environment, spending countless hours repairing radios and creating circuits. “It was here that my love for electronics was truly nurtured,” he says, reflecting on how he began to see the world in terms of technology, innovation, and creation.

The college years also marked a pivotal point when he realized that his future lay in Bangalore, the city that beckoned with opportunity.

“I had done my training in Calcutta, but the work culture there wasn’t something I liked,” he recalls. “Chennai was too hot, and Mumbai was too expensive. But Bangalore… it felt right.”

In 1999, the world was entering the digital age, and with it came the Y2K bug—a challenge that led to a surge in tech opportunities. Moyukh found his way into Mindtree, where he was one of the first employees. The startup days were full of excitement and camaraderie, with the company growing rapidly. “We used to sit on the floor, and there weren’t enough chairs. But the energy was incredible,” he reminisces.

First day of Mindtree

“I spent around 15 years at Mindtree, and during that time, the company grew 50 to 60 times,” says Moyukh, reflecting on his journey with the company. “Mindtree started in 1999, and I joined just five months after its inception. It was like my first startup, and I witnessed firsthand how it evolved and expanded over the years.”

Co-founders, all packed up on last day of Mindtree to start Nuvepro

Moyukh’s journey into the tech world was shaped by a childhood fascination with electronics. “I think I’m probably one of the very few people who had my vision clear from the start. I always knew what I wanted to do when I grew up,” he says with conviction. While many struggle to find their passion, Moyukh was certain from a young age.

On the way – launching Nuvepro

In school, he was already crafting electronics projects—FM radios, receivers, LED bulbs—and his love for creating things didn’t stop there. “I loved working on both electronics and mechanical projects,” he recalls. “It was a way for me to stay busy and keep my mind engaged. My father, a state and national-level bridge player, was often absorbed in his game, and my mother was busy with household responsibilities, so I had a lot of time on my hands. I would use that time to make my projects, and I even made some money doing them.”

After more than 15 years at Mindtree, Moyukh made a bold decision to join Nuvepro. “Despite the risks, including the pressure of a new home and financial uncertainties, my family, especially my parents, supported me wholeheartedly,” he reflects. “It wasn’t easy, but with their encouragement, I dove into the startup world to continue doing what I loved: solving problems, building solutions, and leading with a spirit of collaboration. 

Setting up servers at Nuvepro office
My brother also moved here in 1999, I had already passed out of college and was in Bangalore. My brother had completed his 12th and also joined. We never used to stay together, but now I’m pretty close to him. And later, my parents also moved to Bangalore, so that’s how we’re all together now.”

Talking about the leap at Nuvepro, Moyukh tells us, “Yes, it was a huge leap. I had been working at Mindtree for a while, and it was a growing company, so the decision to leave a stable job and dive into the startup world was a big risk. Initially, my parents were concerned. I could sense that they were worried about the uncertainties. But I always believed in my vision, and I think over time, they understood my passion and the excitement I felt about building something new.

 I remember my mother telling me, ‘Do what makes you happy, but be prepared for the challenges ahead.’ My brother, on the other hand, has been one of my biggest supporters. Even when the going got tough, he would encourage me to keep pushing forward. The support from my family has been invaluable, even when they didn’t fully understand the journey I was on.”

Moyukh birthday celebration year 2007

Some anecdotes: – “I decided to take the plunge. I had just returned from the US in December 2009, and I had spent most of my savings on the down payment for the house. With the EMI running, it wasn’t easy. But I talked to Jani, and we planned everything out. It took us almost a year to finalize. There were so many decisions, even about the company name. We initially thought of names like Stratosphere or Cloudloka, but we eventually settled on Nuvepro. There were also discussions about whether Jani would join or not, and Mindtree was involved in the spin-off.”

Holloween party in the USA

We all also know Moyukh as an exceptionally devoted father. He recalls, “When Moksha was little, I was working at Symantec and based in Pune, but everyone knew I always had Moksha with me. People would joke, asking if I was trying to be like a mother. I’d laugh and say, ‘Yes, a hands-on mother.’”

Moksha, he says, has taught him more than he could have imagined, especially when it comes to raising a daughter. “Growing up with only brothers, I had no idea what it would be like to raise a girl. But the truth is, there’s no difference between raising a boy or a girl. It’s all about being there for them.” For Moyukh, parenting isn’t just a responsibility—it’s a mutual relationship. “I don’t see it as a job. You do for them, and they do for you,” he reflects.

“Moksha and I take care of each other, and that’s what makes it so fulfilling. She’s there for me just as I’m there for her. It’s a beautiful, balanced relationship.”
With daughter, Moksha.

And now, Moyukh cherishes the moments when he and Moksha visit his parents together. “It’s all part of the journey,” he says, a smile of contentment in his voice.

And as of with Nuvepro, we cannot do without Moyukh. He literally is the flesh and blood here and of course, he’s been doing it for much more time along with Giridhar, than any of us. He tells about Giridhar, “I’ve known him for over 20 years. We’ve been through so much together. I’ve even been to Namya’s naming ceremony, and then she worked with us. It’s crazy to think about how far we’ve come. Giri and I started around the same time, and we’ve shared so many experiences over the years, including the time we spent together in the U.S. We’ve seen each other grow. We’ve been through frustrations, celebrations, and everything in between.’’

With co-founders – sans Giridhar.

The other time I was talking to Chandraprakash, Moyukh’s colleague, who told us, “Moyukh is like a doctor to Nuvepro, technically. He gives the right solutions, and he’s always there to guide everyone, including me. He has a calm, positive personality and motivates everyone in the organization. Whenever I feel stuck, I turn to him, and he always puts me back on the right track. Not just with technical issues but also with personal matters—he provides great suggestions. We often discuss family, life, and general knowledge when we meet outside work, and I always learn something new from those conversations. There’s a reason why I share a cabin with him.”

As we conclude this piece, I want to leave you with two beautiful messages from Moyukh’s family:

Resp. M. G Goswami, Moyukh’s father ( who uses WhatsApp at the age of 87, but our very own CTO doesn’t) – “Congratulations on 10 amazing years as Co-founder and CTO of the company! I know you like to joke about the ‘beatings’ I gave you, but let’s just call it ‘tough love’ that helped you stay disciplined. Seeing your hard work and success makes me proud every day. Here’s to many more milestones ahead! Regards, Baba.’’

Moksha Goswami, Moyukh’s daughter:  “CONGRATULATION Baba for completing the 10-year journey with Nuvepro. It must have been a great journey for you. Seeing you try your best as the company’s co-founder and CTO and being happy made me happy too.  You have been blessed with such wonderful colleagues in this awesome company. I want you to cherish these memories for life long.

Thank you Moyukh, I know you are shy about these things, and like we talked about leadership styles, the other day, I know you are shy when you are reading all this, but thank you again. You bring joy to all of us. And, as for us, professionally or personally, we are just happy to know about you, learn from you and your technical brilliance, and majorly from your profound ability to live fully, one day at a time. And, like I said, you teach us – “Barbadiyon ka shok manana fizul tha, Barbadiyon ka jashn manaata chala gaya,”

Written by Shivpriya R. Sumbha | Editorial reviewer: Anisha K. Sreenivasan

My favorite picture with him.

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Skilling

How Leading Enterprises are Redefining Skilling ROI Through Project-Ready Execution with Agentic AI 

Having a skilled workforce isn’t your competitive edge anymore—having a workforce that’s ready to deliver from Day Zero is.  Enterprises are spending millions on various skilling platforms, technology skills training, certifications, and content libraries. Yet project delays, missed KPIs, and bloated bench time continue to bleed margins. Why? Because knowing something doesn’t guarantee doing it, especially when delivery demands speed, precision, and accountability from day one.  This is where the game changes.  Agentic AI is redefining how enterprises validate, deploy, and trust skills—not by tracking learning paths, but by measuring real execution inside real-world hands on learning environments. It’s not assistive AI. It’s autonomous, outcome-linked intelligence that sees, scores, and scales what your business needs most: project-readiness solutions that moves the needle.  If you’re still skilling for completion rates and hoping it translates into delivery, you are already falling behind. It’s time to flip the model.  Agentic AI Is Quietly Reshaping How Enterprises Work—And It Shows in the Numbers  For years, AI investments have hovered in the realm of “innovation budgets” and experimental pilots. But now the conversation has shifted—from potential to proof. Agentic AI is now delivering measurable ROI across the enterprise workforce stack: in bench cost reduction, faster deployment cycles, real-time resource optimization, and improved project margins.  And unlike traditional upskilling or automation tools, Agentic AI isn’t just an assistant—it’s an active agent in execution.   It doesn’t just suggest, it acts. It doesn’t just train, it validates. It doesn’t just track progress, it drives outcomes.   That shift—from passive to proactive—is exactly why enterprises are now seeing tangible business value. Agentic AI is quietly reducing waste, increasing agility, and freeing up millions in hidden productivity losses.  If you’ve been wondering whether Agentic AI justifies the investment—the numbers now speak for themselves. Here’s a breakdown of where the ROI is showing up, and how it’s redefining workforce transformation at scale:  Realizing Business Outcomes with Agentic AI: What Enterprises Must Understand  The evolution of artificial intelligence has moved far beyond automating simple tasks. Today, enterprises are stepping into a new phase with Agentic AI—AI systems that can independently plan, make decisions, and act in complex environments with minimal human guidance. While this concept may sound futuristic, it’s already becoming a practical priority for businesses focused on productivity, scale, and intelligent operations. Most enterprise wide workforce skilling solutions stop at learning. Agentic AI, however, enables intelligent action — making decisions, adapting to workflow changes, providing AI powered skill mapping and executing project-aligned goals autonomously.  According to recent projections by Gartner, the adoption curve for Agentic AI is steep and undeniable.  These are not just hopeful numbers. They reflect a growing need among organizations to move past isolated automation and toward something more holistic—systems that don’t just support work but actually carry it forward.  Agentic AI enables this by introducing a layer of autonomy into workflows. It’s no longer about training a model to respond to prompts—it’s about deploying AI agents that can monitor AI-powered learning environments, interpret changes, take action, and continuously optimize their performance. This capability makes them far more adaptable than traditional rule-based automation or even virtual assistants.  However, unlocking the value of Agentic AI requires careful planning. Gartner cautions that organizations should not rush into adopting agents across the board. Instead, enterprises should start by identifying clear, high-impact use cases where the return on investment is measurable—whether that’s in reducing operational overhead, improving speed of execution, or enabling decisions that were previously bottlenecked by manual processes.  One of the biggest barriers to adoption is legacy infrastructure. Many current systems were never designed to support autonomous agents, which makes integration costly and complex. In some cases, businesses may need to rethink and redesign entire workflows to accommodate the level of independence Agentic AI brings. This redesign, while effort-intensive, is often necessary to realize the full benefits of intelligent automation.  Gartner’s guidance emphasizes the importance of focusing on enterprise-wide productivity rather than isolated task improvements.   Agentic AI should be positioned where it enhances business outcomes through tangible metrics—reducing cost, increasing quality, accelerating delivery, scaling operations and also act as a skill assessment platform. Organizations can take a phased approach: use custom AI assistants for simple data retrieval, automation for repeatable tasks, and build AI agents for decision-making and goal-oriented execution.  Agentic AI isn’t just about making systems smarter—it’s about making businesses faster, leaner, and more resilient. The potential to drive meaningful change is here. But to turn that potential into measurable business value, enterprises must adopt with clarity, strategy, and the willingness to reimagine how work gets done.  Rethinking Skilling in the Age of Agentic AI: Why Nuvepro Delivers What Enterprises Truly Need  Over the last decade, AI has slowly become embedded into the learning and skilling ecosystem—recommending courses, analyzing assessments, or helping L&D teams map career paths through Generative AI learning paths. But a major shift is now underway.  We are moving into the era of Agentic AI—a phase where AI systems are no longer passive assistants, but proactive agents capable of reasoning, acting, and adapting based on real-world goals. And in the world of workforce readiness, this shift calls for something more than traditional assessments or generic training paths.  Enter Nuvepro.  While many platforms are evolving to keep pace with AI trends, Nuvepro was built from the ground up with one core belief: skills only matter when they translate to delivery. That’s why Nuvepro has positioned itself not as another content provider or skill validation assessment engine, but as a full-fledged platform to create project-readiness solutions through AI-driven, real-world skilling experiences. Nuvepro transforms enterprise wide skilling solutions into an active, measurable, and delivery-ready model. This isn’t theoretical AI — it’s AI that builds AI agents and deploys AI agents for enterprise that understand your workflows and accelerate project readiness and business outcomes.  From Skill Awareness to Project Readiness  A lot of learning platforms focus on skill visibility. 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GenAI Adoption Maturity: Bridging CTO Innovation and CIO Integration Through Skilling – Insights from Nuvepro’s COO

Generative AI (GenAI) is reshaping how organizations think about automation, creativity, and productivity. Yet, despite its promise, GenAI adoption remains fragmented – largely driven by CTO-led experimentation, with CIOs cautiously observing from the sidelines. The missing link? Skilling. Without a skilled workforce and a culture of responsible innovation, GenAI risks stalling before it reaches enterprise maturity. The GenAI Adoption Maturity Curve  To understand the dynamics of GenAI adoption, we can visualize three overlapping trajectories:  Skilling: The Strategic Enabler  Skilling is not just a support function – it’s a strategic enabler that:  Creating a Conducive Environment for Skilling  To accelerate GenAI maturity, organizations must invest in:  Skills Validation: The Fail-Safe for Enterprise Readiness  Skilling alone isn’t enough – skills must be validated in real-life scenarios. This ensures:  Real-world simulations, hands-on labs, and scenario-based assessments are essential to move from learning to readiness.  Real-World Lessons from Early Failures  Early adoption has shown that enthusiasm without structure can lead to missteps: These failures underscore the need for skilled, validated, and responsible adoption.  Skilling as the Bridge – Enabled by Nuvepro  GenAI’s journey from innovation to enterprise integration hinges not just on technology, but on capability building. Organizations must empower their teams to experiment responsibly, build confidently, and scale sustainably.  This is where Nuvepro plays a pivotal role. With its hands-on skilling solutions, Nuvepro provides:  By partnering with Nuvepro, enterprises can bridge the gap between CTO-led innovation and CIO-led transformation, ensuring GenAI adoption is not just fast – but also safe, scalable, and sustainable. 

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AI Agents Are Enterprise-Ready – But Most Teams Are Still in Training Mode 

Agentic AI is ready to transform how work gets done – but most teams aren’t equipped to build AI Agents or deploy them. To move from hype to real impact, enterprises need AI-powered skilling built for project readiness. AI Is Everywhere – But Impact Isn’t  In boardrooms, strategy decks, and LinkedIn posts alike, AI is the business buzzword of the decade. According to McKinsey’s 2024 AI adoption survey, over 80% of enterprises have integrated GenAI tools into at least one business function. Whether it’s content creation, customer support automation, or operational analytics, companies are eager to leverage AI’s potential. Yet, here’s the contradiction: Few discuss the fact that less than 15% of these organizations report measurable, enterprise-level ROI from their AI investments. This isn’t just a minor hiccup in tech adoption for Custom AI Assistants. It’s a fundamental operational and strategic challenge. Despite increased budgets, AI courses, and vendor partnerships, most companies remain stuck in pilot mode not knowing how to build AI Agents, unable to translate AI experiments into scalable, revenue-generating solutions.  GenAI Adoption, ROI, and Market Impact (McKinsey Data Summary) Why the GenAI paradox? What’s Stopping GenAI from Scaling in the Enterprise? Why Aren’t More Teams Building AI Agents? While AI experimentation is widespread, few organizations have leaped to building and deploying AI agents at scale. This disconnect isn’t due to a lack of interest; it’s rooted in three persistent, structural barriers:  How Nuvepro’s AI Project Readiness Platform Moves Enterprises Beyond Experimentation and more ROI?  While generative AI and agentic AI tools continue to capture attention, most enterprises are still struggling to move from isolated pilot projects to scalable, production-ready AI agents that transform business workflows. The barriers are clear: a persistent skills gap, and no ROI in returns.  Nuvepro’s AI Project Readiness Platform is built to address these exact challenges, helping organizations operationalize AI initiatives faster, with greater confidence and measurable business outcomes.  What Nuvepro Delivers Project Outcomes That Matter  Nuvepro’s AI Project Readiness Platform is designed to deliver outcomes that go beyond learning metrics, directly impacting operational efficiency, project velocity, and the execution of enterprise AI strategy.  Measurable Business Impact:  40% Faster AI Project Launch Skill-mapped, deployment-ready teams reduce project backlogs and accelerate time-to-market for AI-driven initiatives with the help of learning how to build Custom AI Assistants. Up to 40% Lower Operational Costs Workflow-specific AI agents automate high-volume tasks, reduce manual effort, and minimize SME dependency – unlocking operational savings at scale.  4-6 Weeks to Revenue Readiness Trained talent transitions from bench to billable roles within weeks, enabling faster client project onboarding and internal capability deployment.  Margin Growth through Workforce Efficiency Achieve over 85% skill visibility, improving workforce planning and project staffing decisions. Cut SME evaluation time by 60% through automated, validated skill assessments aligned to enterprise KPIs.  More Pilots, More Wins Confidently scale innovation programs and client-facing AI projects with validated, deployable teams, reducing project risk and increasing delivery success rates.  The Core Pillars of Nuvepro’s AI Readiness Platform  Why This Matters?  AI agents won’t drive enterprise transformation through theoretical awareness alone. They require operational fluency, practical experience, and validated readiness to execute complex business workflows. Nuvepro enables organizations to scale their AI initiatives by closing the execution gap, building not just AI-literate teams but AI-proficient workforces capable of delivering measurable, business-aligned outcomes.  Built for the AI-Driven Enterprise  Nuvepro’s platform is architected for enterprise-scale AI adoption, addressing the full operational lifecycle from workforce readiness to production deployment, with enterprise-grade governance and system interoperability.  Ready to Unlock Real AI ROI?  Most enterprises today aren’t held back by a shortage of AI tools-they’re held back by a shortage of project-ready, validated talent capable of operationalizing those tools in business-critical workflows.  Training alone isn’t enough. “To realize the full value of your AI investments, you need teams that can move from concept to deployment, delivering measurable outcomes against real business challenges”.  Here’s how Nuvepro helps close that gap:  It’s time to move from awareness to operational capability. From pilots to scalable AI outcomes.  Your AI strategy demands a workforce equipped to build, deliver, and sustain AI initiatives, not just complete another course.  Conclusion: AI-Powered Skilling for Project Readiness: From Hype to Real Business Impact – The Next Non-Negotiable Shift  The AI conversation in enterprises has reached a pivotal moment. The numbers are clear, the case studies are real, and the market trajectory is undeniable. AI isn’t a question of “if” anymore – it’s a matter of “how well” and “how fast” organizations can operationalize it.  And this is where most enterprises are falling short.  Despite impressive adoption rates and a growing collection of GenAI tools, the business outcomes haven’t caught up. Productivity improvements and isolated pilot successes are no substitute for enterprise-level ROI, operational efficiency gains, and workflow transformation. The real value of AI – especially in its agentic form – lies in its ability to reshape decision-making, automate mission-critical processes, and enhance customer outcomes at scale.  But achieving this requires a decisive, strategic shift. It demands more than AI awareness or one-off training initiatives. It demands project-ready teams equipped with applied skills, real-world experience, and validated operational fluency – ready to build, deploy, and sustain AI agents within complex enterprise environments.  This is no longer a future-facing goal; it’s an immediate operational imperative.  Organizations that continue to rely on theoretical learning and isolated experiments will inevitably fall behind, as competitors accelerate AI deployment in ways that directly impact profitability, customer retention, and market agility.  The Path Forward Is Clear:  Platforms like Nuvepro are no longer nice-to-have – they’re mission-critical.   Enterprises must equip themselves with infrastructure that not only trains their teams but also prepares them for real business problems, ensuring AI projects are deployable, scalable, and value-generating from day one.  Agentic AI is ready to transform how work gets done. The question is – are your people?  If your enterprise is serious about achieving AI-driven outcomes, it’s time to move beyond presentations and proof-of-concept demos. It’s time to build AI-proficient workforces that don’t just talk about transformation but actively deliver it.  The AI skills

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