From Experimentation to Impact: Nitesh Bansal, CEO of R Systems

Enterprise AI has reached an uncomfortable middle stage. According to R Systems' own research and client conversations, roughly 65 percent of companies are experimenting with AI in some form, but only about 18 percent have actually put it into production with use cases tied to clear ROI. The tools are no longer the bottleneck. Every company can access the same models, the same platforms, and the same subscriptions. What separates the leaders from the laggards is execution: choosing the right problems, moving with speed, and having people who know how to turn powerful technology into measurable business outcomes. For CEOs who have moved from doubt and denial to "I must have a piece of it," the question is no longer whether to adopt AI, but how to get it out of the lab and into the business.

On this episode of The Reboot Chronicles Podcast, we sit down with Nitesh Bansal, CEO of R Systems, the 30 year old, Blackstone backed, publicly listed digital engineering company helping Fortune 500s and governments shift from AI experiments to outcomes. Nitesh breaks down why most AI strategies stall, how the "AI velocity trap" undermines good ideas, how R Systems built an AI native stack of more than 150 reusable agents to compress delivery from months to days, and what it takes to make AI enterprise ready. He also opens up about his own reboot, from running a billion dollar P&L inside a much larger organization to leading a founder built company through a new era of growth.