Enterprise Decoded

Technology organizations are brilliant at building fast and shipping often. However, a typical organization only uses 20 to 30 percent of its technology stack potential. Why does this happen? Teams usually start with available technology and search for a problem instead of starting with the actual customer.Tony Sorensen joins Anji Maram to decode the investigator mindset. They discuss how requirements frequently arrive as solutions in disguise and why problem debt is far more dangerous than technical debt. They break down real world examples of how a failure to ask the right questions leads to massive organizational waste and catastrophic failures like the Boeing 737 MAX.Listen now to learn how to implement root cause analysis and cross functional problem ownership so your team builds what truly matters.

There is a massive graveyard of enterprise artificial intelligence pilots that looked great in a demo but never made it to actual users. Why is the transition from the research lab to enterprise production so difficult?In Episode 4 of Enterprise Decoded, host Anji Maram sits down with Elizabeth Lingg, Director of Applied Research at Thomson Reuters Labs, and Garima Agarwal, Chief Technology Officer at Meeru AI. Together, they break down the brutal realities of deploying generative models in high stakes business environments.Listeners will discover why building for the enterprise means building for edge cases rather than average cases. The guests share their deep experience in the field, explaining how engineering discipline determines the floor of your success, while research only determines the ceiling.You will also learn about the Three Gs framework for enterprise readiness. We discuss how to ensure your data is Grounded, how to keep your outputs Governed and auditable, and how to use a Graduated approach to build deep trust with your most skeptical end users.Whether you are a Chief Information Officer, a software engineer, or a business leader trying to navigate the hype, this conversation provides a roadmap for building durable and verifiable systems that drive real business growth.Listen now to learn how to stop building fragile pilots and start building resilient enterprise platforms.

Is your organization genuinely transforming with artificial intelligence, or are you just accumulating technical debt with better branding?In this episode of Enterprise Decoded, host Anji Maram is joined by semiconductor industry veteran and CIO Steve Nott to challenge the current enterprise AI playbook. Together, they break down why short-sighted tool proliferation leads to organized fragmentation, and how a security-first approach actually unlocks sustainable velocity.What we discuss in this episode:AI-Native vs. AI-Adopted: The critical structural shift organizations must make to compound intelligence over time.The Hidden Pitfalls: Why isolated department tools invite severe data exposure, vendor lock-in, and retroactive compliance nightmares.The 5-Part CIO Blueprint: Actionable architecture, governance, and talent strategies for decade-long market dominance.Resources Mentioned:McKinsey Global Institute: The State of AIBrought to you by CriticalRiver. Subscribe to Enterprise Decoded for real, unvarnished strategies from the frontlines of enterprise transformation.

Welcome to Enterprise Decoded, a podcast about the systems we build and the people those systems are built for. Hosted by Anji Maram, we bypass the buzzwords to explore AI, platforms, and automation through grounded, empathetic leadership.In Episode 2, we are joined by Raju Reddy to tackle a foundational challenge in an AI-first world: engineering trust. Trust can no longer be relegated to a marketing slogan; it must be a deliberate design, architectural, and product decision.Listen in as we navigate our signature format to uncover the realities of modern enterprise technology:🔹 The Good: What’s actually working when building trusted systems.🔹 The Bad: The broken processes and blind spots holding us back.🔹 The Ugly: The uncomfortable realities leaders must face head-on.Produced by CriticalRiver.Make sure to Follow the podcast and turn on notifications so you never miss an episode. If you found value in today's conversation, please share it with a colleague!

We’re live! Enterprise Decoded Episode 1 is here.After many conversations, debates, and real-world lessons from the field, I’m excited to kick off this podcast series.Episode 1: Why Intent Matters in an AI-First WorldWith the brilliant Dr. Vijay GurbaxaniIn a world rushing to become “AI-first,” we paused to ask a more important question:Are we building with intent? Or just building fast?In this episode, we unpack:Why AI is not just automation, it’s decision-making at scale What “AI-first” actually means (beyond the buzzword) A practical 4-part framework for leaders navigating AI adoption Why most AI pilots fail and how to fix it And the big one: why how you build matters as much as what you build One line that stayed with me:“Trust isn’t marketed. It’s engineered.”This is the first of many honest, structured, and no-hype conversations on AI, platforms, and enterprise transformation.If you’re a CIO, CTO, product leader, or just someone trying to make sense of AI beyond the noise, this one’s for you.