{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"AI Ready with Anshula Singh","description":"Anshula Singh came into Foster's MBA program with five years of software engineering experience \u2014 building products at Salesforce and ServiceNow, working with machine learning, helping train early LLMs from the inside. She wasn't new to AI. She was already watching it closely. In her second winter quarter, she took Software Entrepreneurship \u2014 a course where students pitch ideas on day two, form teams, and spend ten weeks building a company. Anshula's team built Authscript, an AI platform to automate prior authorization forms in healthcare. They got far enough to pitch in front of VCs. Then new federal legislation made their product obsolete almost overnight. In this conversation, Anshula talks about what it takes to build an AI startup under time pressure, what the experience taught her about when to use AI and when not to, and her advice for business students figuring out where they fit in a landscape that keeps shifting. Key Takeaways Know when to kill the idea. Find your idea killer early \u2014 before you're burning capital defending a thesis that no longer holds. Customer discovery still beats AI research. The most valuable insights came from talking to people. AI supported the market sizing; the real signal came from humans in the room. Make AI work with how you already work. Don't reinvent yourself for the tool. Figure out where AI makes you more productive in your existing workflow, and start there. Keep your own voice. As models improve, your distinct perspective becomes more important, not less. AI is ambient infrastructure. The question isn't whether it changes your work \u2014 it will. The question is how you position yourself within that change. About Anshula Singh Anshula Singh is an MBA candidate at the UW Foster School of Business. Prior to Foster, she spent five years as a software engineer at Salesforce and ServiceNow, where she worked on machine learning applications and contributed to early large language model development. Subscribe Follow Conversations on Careers and Professional Life wherever you listen. Conversations on Careers and Professional Life is hosted by Gregory Heller and produced at the UW Foster School of Business. ","author_name":"Conversations on Careers and Professional Life","author_url":"http:\/\/conversationsoncareers.com","html":"