Phil pods with Rohan Narayana Murty, Founder and CEO, Workfabric AI

Phil pods with Rohan Narayana Murty, Founder and CEO, Workfabric AI: Why your AI fails without context, the work graph & the rise of digital twins In this episode of From the Horse's Mouth, HFS Research CEO and Chief Analyst Phil Fersht speaks with Rohan Narayana Murty, Founder & CEO of Workfabric AI, Harvard computer science PhD, former MIT postdoc, and only the second computer scientist after Marvin Minsky to be elected to the Harvard Society of Fellows, about why context, not model power, is the real frontier of enterprise AI. Rohan explains why office and knowledge work can now be studied scientifically through what he calls human attention data. By understanding what people focus on as they work, organizations can build a "work graph" that captures how work really gets done. Phil and Rohan discuss why AI agents need the unique context of every organization, how breaking down silos reveals new opportunities and risks, and how digital twins could transform the way employees collaborate across teams. The conversation also explores how AI will reshape enterprise structures, why culture matters as much as technology, and why services firms should focus on context engineering to stay competitive. They discuss how smaller, AI-native firms could challenge incumbents and why traditional billable-hour models may become increasingly difficult to sustain. They close by exploring what true AGI would require, why humans will continue teaching machines for years to come, and a timeless lesson from Rohan's father on why services businesses continue to matter, even in the age of AI. Essential viewing for CEOs, technology and services leaders, founders, and anyone interested in context engineering, AI agents, digital twins, and the future of knowledge work. Chapters 00:00 – Intro: Meet Rohan Narayana Murty 01:34 – From Academia to AI Entrepreneurship 03:08 – Rethinking Human-Machine Work 03:46 – Studying Knowledge Work with AI 06:22 – Work Graphs & Human Attention Data 08:33 – Why AI Agents Need Context 09:18 – The Context Engineering Challenge 11:34 – Breaking Enterprise Silos 13:29 – How Human Attention Data Works 15:13 – Privacy, Consent & Incentives 15:31 – Digital Twins Explained 17:33 – Phil's Digital Twin Example 19:05 – AI That Writes in Your Voice 20:39 – Inside the Work Graph 23:28 – The Future of Enterprise Work 24:30 – Where Enterprise Context Lives 26:55 – AI Culture Over Technology 29:36 – Managing for Outcomes 31:15 – Why Context Engineering Matters 33:55 – AI-Native Services Models 34:41 – The Rise of Specialized AI Firms 35:43 – The End of Billable Hours? 38:43 – Why Services Still Matter 39:01 – A Timeless Lesson on Services 42:07 – Is Context the Key to AGI? Learn more & connect HFS Research: https://www.hfsresearch.com The podcast: https://horsesmouthpodcast.com Phil Fersht on LinkedIn:   / pfersht   Rohan Narayana Murty on LinkedIn:   / rohanmurty   From the Horse’s Mouth: Intrepid Conversations with Phil Fersht brings together founders, executives, and contrarian thinkers for unfiltered conversations on the forces reshaping business and technology. Hosted by HFS Research CEO and Chief Analyst, Phil Fersht. #AI #EnterpriseAI #FutureOfWork #DigitalTwins #ContextEngineering #AIagents #PhilFersht #HFSResearch