About
Christopher Rafalski,
Founder & Principal
Chris Rafalski didn't come to AI consulting from a lab or an agency. He came from building and running companies, and from the hard-won understanding that technology is only valuable when it works inside a real business, with real people, real constraints, and real stakes.
His first company, Just Sides, was a venture-backed whole food, plant-based lifestyle transformation company. The business focused on helping people transform their health through intermittent fasting, whole food nutrition, and sustainable lifestyle change. Just Sides attracted celebrity clients and advocates, built a social media following of 400,000, and assembled a cross-functional team spanning five states, including scientists, medical doctors, and nutritionists, around a shared mission.
After Just Sides, Chris founded Rafalski Enterprises, a strategy and operations consultancy, advising clients across B2B services, eCommerce, and technology. Through that work, building financial models, originating deals, and embedding inside client operations, a pattern became impossible to ignore. Company after company was sitting on enormous amounts of operational data and had no idea what to do with it. The opportunity wasn't just to advise on strategy. It was to help businesses unlock what they already had.
That realization drove the transition to Raf AI Advisory. But first, Chris went back to school. He enrolled at Carnegie Mellon University's Tepper School of Business specifically to be at the cutting edge of where AI and machine learning were heading in business. Not to learn theory, but to be inside the room where the future of enterprise AI was being shaped. Throughout his MBA, he continued consulting, which meant every concept he encountered in the classroom was immediately tested against the reality of live businesses. He could see in real time what worked, what didn't, and where the gap between academic AI frameworks and operational reality actually lived. The more he worked across industries, the clearer it became that AI and machine learning weren't just tools for tech companies. They were the missing infrastructure for every operator who had spent years collecting data without the systems to act on it. Raf AI Advisory was built specifically to close that gap.
Through client engagements, Chris has embedded directly inside operations to deliver results that go well beyond traditional consulting. In one engagement with a high-volume eCommerce marketplace, he designed and deployed ML-driven forecasting, inventory optimization, and warehouse product placement systems that generated $140K+ in incremental monthly revenue, improved stock turnover by 27%, increased warehouse worker productivity by 34%, and drove the client's first $1M+ revenue month.
He holds an MBA from Carnegie Mellon University's Tepper School of Business, with concentrations in AI in Business, Organizational Behavior, and Marketing, and a track in Technology Strategy and Product Management, and a capstone conducting AI accessibility and ethics research for Workday, with findings presented to Fortune 500 executive leadership including Apple, Google, and Walmart.