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Turning AI Spend Into Real Adoption and Measurable ROI
AI is reshaping how work gets done across every industry. The challenge is no longer whether companies should adopt AI. It is how to make that adoption useful, safe, and measurable across the organization.
At Modo, we help companies move from scattered experimentation to real workflow adoption. We work with teams to understand how work actually gets done, identify high-value opportunities for AI, and support employees with role-specific coaching that fits into their day-to-day work.
At the same time, we help leaders see what is working across the business. Our approach gives executives visibility into adoption patterns, workflow opportunities, utilization, and business impact so they can make better decisions about where to invest, where to improve, and how to scale AI with confidence.
The result is simple: employees get help that is actually useful, and leadership gets a clearer view of how AI is driving value across the company.
Our AI Expert Team
Johnny Chang
Co-Founder
Johnny previously taught Stanford University’s flagship graduate AI courses led by Stanford pioneers like Prof. Andrew Ng (founder of Coursera, Google Brain), Prof. Chris Manning (foundational work in AI), and other world-renowned AI leaders. He led cutting-edge research at Stanford on AI agents focused on reasoning over large-scale business data. Johnny also founded AI x Education, a leading think tank on AI adoption in education with over 9,000 educators. He holds a Master’s in Computer Science (AI) from Stanford and has led AI programs for over 5,000 professionals across tech, education, and enterprise sectors.
Angelina You
Co-Founder
Former Data Scientist at Meta, where she built large-scale ML models for core product teams, with prior experience in analytics and product experience at EverQuote (post-IPO) and CircleCI (unicorn startup). Angelina is an Accel Fellow, founder of Stanford Founders' AI community, and a frequent speaker at national AI forums such as Women x AI, where she focuses on helping non-technical workforces adopt AI through workflow automation. She holds a Master's in Management Science and Engineering from Stanford University, with a focus on AI adoption and technology management.