Fractal Analytics Bets Big on AI: CEO Srikanth Velamakanni Maps Growth & Margin Strategy | ET Now

I think the first question to ask here is who are our peers? We don't consider the regular IT services companies as our peers. We're an AI company and we see a very different industry out there. At this point of time, we think this is an unprecedented, once-in-a-lifetime opportunity to help companies reimagine their business and lead an AI-led business transformation inside their companies. So, that is a big opportunity that Fractal is chasing. Number two is a little bit more like what traditional tech services companies will do, which is to help companies reimagine their tech spends with AI. Now, AI is also compressing traditional tech. So, can we use AI to reduce the overall complexity and the size of technology projects in such a way that it creates many more opportunities. So, that's the second big thing we are chasing. And the third thing is that in a world which is changing so rapidly with AI, companies will have to reimagine how they work and how their workforce should be organized. So, that creates an amazing opportunity to help companies accomplish this transformation as well as upskill their workforce. So, this is the overall

So, firstly, let me explain how agentic AI is different from traditional analytics services. The basic problems that any company tries to solve, the companies that we serve, they try to solve, are the same, which is how do I grow my business very, very well? How do I understand my customers better? How do I create greater operational effectiveness and reduce inefficiencies in my business? And how do I stay relevant in the future? How do I build new products and services to stay relevant in the future? Now, these are the fundamental business questions that Fractal tries to answer through AI. Now, traditionally, the techniques for doing that were traditional analytics previously, which meant you would predict something. You would predict how is the customer likely to default on your loans or whether this customer respond to that offer? How should I split my marketing spends more in a more optimized way so that I can grow my revenues better? These are the kinds of questions that Fractal has traditionally been answering. Now, this now can be done with better AI and better agentic AI. The agentic AI essentially means that the AI or the agents that are part of this AI are autonomous or they have agency. That's why they're called agentic. That means that they can take us complex problem, divide them to smaller problems, plan around it, execute, learn from feedback. That's the new agentic AI. Now, what you see is that almost everything that we do will now have an agentic layer on top of that. That is a big transition that