From 18, I was already running a business, studying law, and doing HR consulting, M&A, and VC work — trying to understand organizations from every angle at once. That foundation took me to Meitu Japan as founding Country Manager, then into building: I cofounded BehaviorGraph and LEAD.bot to turn real organizational behavior into infrastructure enterprise AI can use. At Columbia, I formalized the theory. Recognized contributor to OpenClaw. LinkedIn Top HR Voice.
How every major enterprise AI category converges on the same blind spot, and why closing that gap represents an entirely new product category.
Why agents fail at routing despite solid retrieval systems, and how behavioral context is the overlooked solution to organizational intelligence gaps.
A founder's take on why enterprise GenAI needs an organizational layer and how the OIL framework uses behavioral graphs and influence signals to make AI adoptable.
How I built and scaled a team of AI agents for real operations using OpenClaw. Ten design principles from structure over intelligence to anti-spam safeguards, and why building an agent system feels more like organizational design than programming.
During my time as founding Country Manager of Meitu (美图) Japan, Meitu (美图) was selected by A16Z as one of the Top 50 Gen AI mobile apps globally by monthly active users, alongside ChatGPT, Gemini, and other leading AI consumer apps.
I'm Yumi A.W. Kimura, Cofounder of LEAD.bot and BehaviorGraph, where we build knowledge-sharing infrastructure for enterprises. Before LEAD, I was the founding Country Manager for Meitu (美图) Japan (the Japanese subsidiary of Meitu Inc.), where I represented the company at GMIC in Tokyo.
My research at Columbia University's Information and Knowledge Strategy program produced the Organizational Intelligence Loop (OIL), a socio-technical framework for embedding organizational context into enterprise AI at runtime.
Japanese, Chinese, and partially Eastern European — raised in Japan and China, with a decade+ in Silicon Valley. Trilingual, fluent in Japanese, Chinese, and English (speaking and writing). Based between New York and San Francisco. Previously in Tokyo and Shanghai.
LinkedIn named me a Top HR Voice in 2023. I've spoken at the Beyond the Frontier Summit at Microsoft NYC, Wharton People Analytics, the JA-GA Futures Forum at University of North Georgia, Washington University Olin Business School, and the North American Chinese HR Forum. I've been featured in NHK, TechCrunch Japan, Nikkei (日経新聞) X Trend, and Nihon TV.
I write about knowledge management, people analytics, and what it takes to make enterprise AI work inside real organizations. Most of what I publish starts as a question I can't find a good answer to.