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EP07
Virtual
Coming Soon
Governing the Seam: Why More AI Governance Alone Won't Save You
Most enterprises treat governance as a control function — policies, committees, and compliance, owned separately by the business and by technology. But governance was never meant to be a set of rules bolted onto each side. It's a system that has to hold end to end: from the market need all the way through to how a digital product is built, deployed, and adopted. When that system breaks, it rarely breaks inside the business or inside technology — it breaks at the seam between them, where no one owns the outcome. In this episode, Tipu and Gautam trace how business and technology governance drifted apart, why the rise of AI has made that gap impossible to ignore, and why the answer isn't more AI governance — it's enterprise governance. The provocation at the center of the conversation: AI governance doesn't guarantee enterprise outcomes, and the enterprises that figure out who owns the seam will be the ones that turn their AI bets into results.
with Gautam Bhatia · Kirkland & Ellis

EP06
Virtual
August 20, 2026
From Code to Boardroom: Redefining Platform Engineering for the AI EraMost enterprises treat CI/CD as a technical problem owned by engineering teams. But platform engineering — the discipline that has evolved from CI/CD — is now the invisible backbone determining how fast an organization can respond to market signals, how reliably it serves customers, and how efficiently it manages the cost of technology delivery. In this episode, Tipu and Dr. Gaurav Shekhar challenge the traditional boundaries of CI/CD, connect platform engineering to boardroom-level outcomes, and ask: in the AI era, what does the future of enterprise software delivery actually look like?
with Dr. Gaurav Shekhar · Financial Services

EP05
Virtual
July 27, 2026
Product 3.0: From Fail Fast to Decide FirstAfter eight years leading product at JPMorgan Chase, Varun J. Vincent watched six people in a rented room decide the experience of 2.5 million businesses — and knew the process was broken. He makes the case for Product 3.0: the evidence era, where teams decide what to build before they build it.
with Varun J. Vincent · FalconFirst AI

EP04
Virtual
July 6, 2026
The CIO Reimagined: Lost an Empire, Gained a CabinetThe CIO didn't lose the empire — they gained a cabinet. Charles Wiggins breaks down why the Chief alphabet explosion was the best thing that ever happened to the CIO, the 60/40 rule of translation over technology, and what it means to be data rich but intelligence poor in the AI era.
with Charles Wiggins · AlterEnable

EP03
AI
May 27, 2026
The Missing BRIDGE: Forging Digital Product Innovation into Tangible Market WinsSaaS companies spend $2 for every $1 of new revenue they acquire — and the gap is structural. Tipu Swaran introduces the BRIDGE framework: a six-phase model connecting markets, business, and technology into a cohesive system for turning digital innovation into tangible market wins.
with Tipu Swaran · Paalam Labs

EP02
Virtual
May 6, 2026
Master Data Management in the Age of AIOrganizations that fail to govern their master data are 3x more likely to see their AI projects stall. Sauvik Banerjee breaks down why Master Data Management is the foundation every AI strategy is built on — from fragmented legacy systems to AI-ready architectures that scale with your ambitions.
with Sauvik Banerjee · Cognizant

EP01
AI
January 30, 2026
Future-Proof the Enterprise DNA: Architecting Operating Models for the AI EraMost enterprises treat AI as a technology problem — a model to deploy, a pilot to run, a budget line to justify. But AI transformation was never just about the technology. It's about the operating model that surrounds it: how you prioritize, govern, measure, organize, and deliver AI at enterprise scale. When that model is missing, AI pilots succeed in isolation and fail at scale. The bottleneck isn't the algorithm. It's the enterprise DNA.
In this episode, Tipu unpacks a comprehensive framework for building an AI-native operating model — one that embeds AI across three integrated layers: Strategy, Organization, and Technology. The provocation at the center of the conversation: 95% of AI pilots fail not because the technology doesn't work, but because the operating model was never redesigned to accept it. The enterprises that future-proof their DNA will be the ones that stop bolting AI on — and start building it in.
with Tipu Swaran · Paalam Labs






