{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"START","title":"START: Bao Nguyen, Co-Founder & CEO, Hessian “Forward-deployed AI Agents”  ","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/9696f19f\"></iframe>","width":"100%","height":180,"duration":578,"description":"Bao's job was automating other people's jobs.\nSo he automated his own.\nHis team used to forward deploy the old way — go into customers' offices, sit next to their teams, watch how the work actually got done, then build the automations by hand.\nThen they asked the obvious question: why are humans doing all of this?\nNow Hessian's AI agents construct a digital twin of your business, map your back-office workflows, and take the work over end-to-end — plugging into whatever you already use.\nSlack. HubSpot. Salesforce.\nNo new dashboard. No workflow migration. No figure-it-out-yourself AI tooling.\nThe thesis behind it is blunt: the future of enterprise AI isn't selling more SaaS.\nBusinesses want to adopt AI. They don't know how. Another tool doesn't solve that problem — it adds to it.\nSo the companies that win won't sell software.They'll sell outcomes.\n🎙️ Bao Nguyen, Co-Founder & CEO, Hessian on Fondo START pod\n01:28 — Introducing Hessian's vision for forward deployed AI agents that automate business operations.\n01:58 — Why conversations with customers revealed that AI adoption is still a major challenge for mid-market companies.\n02:34 — How Hessian evolved from a workflow orchestration platform into an AI-first automation company.\n03:15 — The insight that led the team to replace traditional forward deployed engineering with AI agents.\n03:57 — Why Hessian integrates into existing workflows instead of requiring companies to adopt another SaaS product.\n04:28 — Bao's perspective on why enterprise AI is shifting toward outcome-based implementations rather than software licenses.\n05:02 — Early customer results, including significant time savings and eliminating the need for a dedicated AI engineer.\n05:34 — Meeting his co-founders at university and getting accepted into Y Combinator on their first application.\n06:22 — The difference between building startups in London versus San Francisco, and why speed matters.\n07:20 — The biggest lesson from Y Combinator: validating ideas...","thumbnail_url":"https://img.transistorcdn.com/q-E1hh7K6IS4AfZiNy2p4MYVGcUOO8lQP92h8QbOEOA/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80NzVj/MDEzNjkxNjU1N2Uy/NDFhMDQ3M2ZhNWI3/NWY0MS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}