Cynthia Coulbourne
Systems Designer & Innovation Catalyst
Cynthia is a systems designer who guides leaders in bridging the “Transformation Gap” to build truly AI-converged organizations. She acts as an innovation catalyst, turning ad hoc experiments into scalable operational reality by architecting AI Communities of Practice — frameworks that foster collective intelligence and continuous adaptation.
Drawing on 25 years of global leadership at IBM and PwC, Cynthia redefines business models to ensure technology and people interlock as a high-performing ecosystem that harvests measurable value. Her work prioritizes “cognitive agency,” ensuring AI enhances human intelligence so that leaders remain the intentional authors of their strategic vision.
A Colorado-based entrepreneur and USDF Silver Medalist in dressage, Cynthia brings the same discipline of partnership to enterprise design that she applies to high-level horsemanship — ensuring that the convergence of human and machine is both powerful and precise.
Business Architecture & GTM Strategy · Solution Innovator · Global Offering Portfolio Lead · IBM & PwC Alumna
Julie Young
AI Product & Systems Strategist | Human-Centered AI Infrastructure
Julie builds AI systems that fit how people work, combining behavioral science, product direction, and platform decisions. She designs the human-centered infrastructure that lets AI initiatives scale inside real teams without losing usability or accountability.
She has founded UX research practices inside organizations that lacked them, established and directed cross-disciplinary modeling and simulation efforts for complex technical systems, and partnered with engineering teams to translate algorithmic concepts into usable product features. Her training in experimental psychology and human-computer interaction, extended through postgraduate work in AI and machine learning at UT Austin and AI product design at MIT, anchors a practice that treats applied capability, not adoption metrics, as the real measure of an AI system.
At HAP, Julie thinks about how to scale AI initiatives, and the product direction, platform decisions, and evaluation design that make adoption last. Her work happens before the rollout, not after.
Behavioral Science & UX Research · Product Strategy · Modeling & Simulation · M.S. Experimental Psychology / HCI · UT Austin AI & ML · MIT AI Product Design
