70% of enterprise AI projects never reach production. The solution: Forward Deployed Engineers (FDEs). In this episode, Vikram Vaidyanathan and Rocketlane CEO, Srikrishnan Ganesan unpack the rise of the FDE model, from Palantir’s origins to how AI companies use it today to bridge the gap between prototypes and production. They discuss why traditional SaaS orgs break in AI, the governance needed to scale FDE teams, and why India is emerging as the global engine room for AI deployment. A crisp breakdown of the role shaping the future of enterprise AI. Chapters  00:01:29 -  Introduction to the Z47 podcast  00:04:16 - The 70% problem: Why enterprise AI fails to scale 00:05:25 - The origin story: Inside Palantir, where it all began 00:12:43 - Evolving from deployment to GTM engine 00:14:23 - The Vision Selling era: from POCs to production ROI 00:17:09 - What does a great FDE motion look like? 00:18:59 - Building with FDE DNA: How Rocketlane practices what it preaches 00:24:06 - Product, success, or stand-alone: Where should FDEs sit? 00:26:22 - Scaling the FDE model: from speed to structured governance 00:33:38 - Pairing on-site FDEs with India’s 24×7 talent engine 00:34:21 - AI adoption as India’s next big export 00:37:49 - FDEs: The human bridge between AI promise and delivery