Dylan Swanepoel

Most golf courses still run on operational systems that were never designed to adapt. Today, a lot of “AI in golf” is layered on top of legacy tee sheet workflows. That approach does not change outcomes, it just changes the UI. I spent the past year building Mully AI as an AI-native operating system for golf courses, and I’m now lining up shadow-mode deployments. We run Mully alongside a course’s existing system to benchmark outcomes before anything goes live. The goal is simple: help courses operate smarter across booking, utilization, and on-course decision-making, without adding complexity for staff or golfers. Before Mully, I worked in the global advertising and creative industry across agencies including McCann, Critical Mass, and The Martin Agency, leading large-scale programs and high-pressure operations. That background shaped how I build systems first, with clear incentives and measurable outcomes. My technical foundation includes a post-graduate ML and AI certification from the University of Texas and the MIT AI Leadership program. I have also built and prototyped several AI products, including a multi-tenant golf booking platform with intelligent recommendations, a mentorship matching system, and predictive models for short-form content performance. Right now I am focused on validation, learning fast with real operators, and connecting with golf leaders and builders who care about modernizing the game the right way.