Tejasvi Devaru - Blog

I have sat in enough enterprise rooms over two decades to recognize this pattern. The person with the most answers is often the reason the project drifts. It took me a long time to understand why. Raw capability is a remarkable thing in a room but the thing that actually keeps large projects on track is honest uncertainty. Now bring the brightest person in and watch what happens to everyone else. They go quiet. They start filtering themselves before they speak. They measur

Oprah asked Claude what question it would ask its own creator. But the answer is what moved me more than the question itself. Oprah opened the segment by asking the AI chatbot Claude what the most pressing question would be to pose to its creator, and Claude generated this particular question. "You have said there is a meaningful chance the technology your company is building could cause human extinction and yet you are racing to build it faster. How do you justify that to th

Silicon Valley builds fast; enterprises build carefully. I have done both, and here is what nobody tells you. The startup is moving at speed, while the slow, cautious enterprise protects what it has already built. Most technology commentary treats this as a conflict, but in reality, they are both completely rational. I have operated on both sides of this line, and they are responding to entirely different sets of consequences. Why Silicon Valley Builds Fast Speed in a startu

The era of counting seats and charging per user is ending. AI agents are changing everything. When software no longer needs human interfaces, why pay for seats nobody uses? This fundamental shift threatens the $400 billion SaaS industry's favorite revenue model. The Subscription Model's Growing Problem: Today's enterprises juggle over 300 applications. Costs keep climbing while flexibility remains a myth. Multi-year contracts, tiered pricing, and complex agreements lock compa

AI agents are rapidly reshaping how businesses operate. From back-office workflows to customer support, intelligent agents are automating tasks with increasing speed and precision. But one area undergoing particularly profound transformation? Software development. We’re now seeing the rise of what some are calling “vibe coding”, where developers (or even non-developers) describe requirements in plain English . AI tools like GitHub Copilot, Cursor and Bolt.new, Firebase or Rep

Not a day goes by that I don't remember my father... "Appaji." It’s been 21 years since his passing, but his lessons still guide me every day. When I turned 18, he told me: "From now on, I am your friend, mentor, and coach. I’ll suggest ideas or point out what you’re doing wrong... but it’s up to you to act on them" He truly lived those words. A few things I learnt from him shaped not just my career, but my character: At 12, when I got my first bank account, he gave me an all

"The era of SaaS as we know it is over," declared Satya Nadella. While dramatic, this statement isn't entirely inaccurate. The software landscape is undergoing a seismic shift, driven by the emergence of AI Agents. Does this mean the end of SaaS? Absolutely not. Think of it this way: SaaS isn't dying; it's evolving. The core principle – delivering software as a service over the internet – remains rock-solid. However, the way we experience and deliver SaaS is about to change d

AI Agents powered by Large Language Models (LLM) are transforming how we work, though the concept can seem complex. This article demystifies AI Agents, explains their organizational potential, and outlines how to get started. What Are AI Agents? An agent traditionally acts on behalf of others; similarly, AI Agents identify steps to achieve a goal and complete it using AI and tools on your behalf. For example, in autonomous driving, an AI Driving Agent manages your tasks like

For years, enterprise software has been dominated by SaaS applications, designed to streamline operations and provide scalable solutions. Today, the average organization uses over 371 SaaS applications, covering a wide range of functions—from security, project management, and CRM to HR, finance, and supply chain management. These applications promise efficiency and simplicity, allowing businesses to focus on core operations while outsourcing software management to third-party

The debate around Generative AI (Gen AI) is polarizing, with viewpoints ranging from overly optimistic to deeply skeptical. As a Digital Transformation practitioner who has implemented numerous Gen AI use cases at Automation Anywhere, I aim to provide a grounded perspective. Goldman Sachs, in Global Macro Research publication, (Jun 24) featured interview with Daron Acemoglu, MIT Institute Professor who has published numerous books including Why Nations Fail: The Origins of Po

Recently McKinsey published a report The state of AI in early 2024: Gen AI adoption spikes and starts to generate value which show the adaption of Gen AI is increasing increasing rapidly across all industries, rising from 33% to 65%. The top three functions where Gen AI is used are: Marketing Product Development IT and Service Operations However, very few organizations are realizing significant value from their Gen AI investments. The exhibit below shows that, on average, onl

Introduction The proliferation of GenAI has ignited widespread interest among executives, with 90% expressing enthusiasm for leveraging these innovations to tackle business challenges. Organizations, including mine, are very keen on harnessing this exponential technology to address issues where there was no solution or to identify a better solution. However, amidst a multitude of opportunities, discerning the most promising opportunity can be daunting, given limited resources

Most companies are adopting Cloud. However, few companies have realized the full business impact from doing so. Impactful Cloud adoption is still in its infancy. According to an IBM IBV survey, fewer than 40% of companies are realizing the benefits from moving to Cloud. Cloud Strategies are too often focused on IT cost savings and workload migrations from on-premise to Cloud. An effective Cloud Strategy must be more business-driven and focus on how to optimally use the Cloud

Elon Musk is a visionary who has propelled Tesla to its current status, defining the electric car segment with innovative designs. However, Tesla now faces challenges in meeting the high demand for its cars. Producing quality vehicles at scale is no small feat, and traditional car manufacturers, with their perfected processes, have a competitive edge. Additionally, other manufacturers are closing the gap in design and battery range. Can Tesla learn from Apple? Apple, one of t

I recently deleted my Facebook account following the CA fiasco, which made me ponder how companies can avoid similar issues. Insider reviews suggest a culture at Facebook that prioritized revenue over user privacy—a common scenario in many corporations. However, we have instituted safeguards to prevent such practices. Why did Facebook prioritize revenue over protecting user privacy? User data is their primary revenue source, and any company considering its competitive advanta