From Skepticism to Scale: Building an AI-Ready Enterprise
A call to dreamers ready to break barriers and build responsibly with AI. Because enterprises need more than technology, they need dreamers who dare!
This isn’t meant to be a one-way newsletter. It’s a call to build a community, a community of dreamers and doers who want to turn ambition into large-scale innovation inside enterprises. Because let’s face it: there are barriers everywhere, from legacy systems, regulations, and risk aversion, but when you bring people together with the right knowledge, those barriers can be overcome responsibly. Community has always been the biggest catalyst for innovation.
I come to this as a geek at heart, an engineer and builder who became a consultant, solving people’s problems every day to help them scale responsibly. I’ve seen firsthand how organizations struggle with an inflated idea of AI, where imagination collides with friction. My job, and now my mission here, is to bridge that gap. To show that innovation doesn’t have to be mysterious or reserved for a select few. You don’t need to build AI to benefit from it, but you do need to understand it to innovate with it.
And make no mistake: AI will become the norm, just as electricity, personal computers, the internet, and even the smartphone did. All of these were once met with skepticism, dismissed as toys, fads, or too risky. Yet each of them reshaped the world. AI is no different, except the adoption curve will be faster, and enterprises can’t afford to be left behind.
That’s why I’m starting this space: to cut through the noise, share what actually matters, and give you practical clarity each week. This is not just my platform, it’s our space to make sure enterprise innovation doesn’t fall behind, mess it up, or put the future at risk.
1. Why now is the moment for AI in the enterprise
Some of my earliest memories aren’t of toy cars or action figures, but of a kids’ workbench, a multimeter, and eventually, a computer with a printer. That computer hooked me for life. I grew up as the family’s tech guy, went on to study Computer Science, started my career as a software engineer, and eventually moved into consulting to help some of the world’s biggest enterprises make sense of technology.
I began working in the real world in 2013, right before the cloud boom changed everything. Back then, IT was seen as a back-office function: racks of servers, physical backups, in-person troubleshooting. Since then, technology has become the beating heart of every business.
But enterprises always lag behind (for many reasons - we’ll discuss this later). The internet went mainstream in the mid-90s, but enterprise tech didn’t catch up until the 2010s with the rise of cloud. With AI, we can’t afford to wait 25 years for enterprises to adopt what’s already transforming society.
Just kidding, it won’t take that long this time. The world has learned its lesson: infrastructure is as important as the software and algorithms running on it. Moore’s law is struggling to keep up, and advancing nations are already investing heavily in STEM talent and rare earth minerals (not always in a good way, given the AI and semiconductor race). Enterprise adoption of AI is accelerating, and there’s no time like now for all of us to stay ahead, together.
I’ve also had the privilege of seeing how different parts of the world shape our relationship with tech and gained deep insights about the key ingredient in all this: PEOPLE & CULTURES.
India taught me resilience and keeping pace with the right trends.
Europe taught me balance and responsibility.
America taught me ambition — that nothing is impossible with conviction.
Now, living in the Bay Area, I’m at the epicenter of where AI is being built and debated. While the world focused on COVID, crypto, and wars, Silicon Valley was already talking AI. That’s why I’m starting this space: to bridge the gap between the speed of AI innovation and the pace of enterprise adoption.
I’ve been on both sides: building technology and helping enterprises adopt it. This space is my attempt to make AI accessible, understandable, and actionable for anyone working in or around enterprises.
2. Who this space is for (and why you belong here)
While I live among and interact with some of the best engineers and entrepreneurs (not that they only exist in the Bay Area, but the concentration here is high), most of the world I work with falls outside that “tech bubble.” They’re not engineers who live and breathe AI. They’re enterprise leaders, managers, consultants, and entrepreneurs who know AI is important for large, complex organizations but often don’t know where to start.
This space is for them.
If you work in an enterprise and want to understand how AI will affect your job, your workflows, and your company, this is for you.
If you’re an entrepreneur who wants to build solutions for enterprises but needs a clearer view of how they actually work, this is for you too.
Think of this as a translation layer: where AI meets business, and where complexity gets unpacked into something practical. Engineers are absolutely welcome, but the focus here is on making AI beneficial and accessible for everyone at work, and creating awareness about enterprises within the builder community.
3. What you can expect here
The plan is to share one clear, no-jargon post about AI for enterprise. Expect it on weekdays, free of cost.
My promise:
Clarity — simple explanations without oversimplifying.
Relevance — what actually matters inside enterprises.
Actionability — insights you can take to your team, your product, or your business.
The goal isn’t to overwhelm you with noise — it’s to give you an edge.