Hanlin Fang

I build AI-native platforms, systems that unify enterprise data: business, knowledge, and machine telemetry into contextual intelligence that enterprises can trust. Across Splunk/Cisco, Airbnb, and ServiceNow, I’ve led platform and AI transformations where one pattern kept repeating: AI doesn’t fail because models are weak, but because enterprises can’t reason. My work focuses on unifying meaning across the enterprise and translating it into architecture, workflows, and operational intelligence. A large part of this work involves shaping executive understanding, helping C-level leaders see how AI-native platforms drive outcomes, where investments must shift, and how to align technology, people, and strategy. I’m often the person who takes highly complex systems, simplifies them to their essence, and reframes them so leaders can make confident decisions about direction, resourcing, and sequencing. I bring clarity, excitement, and structured narrative that helps organizations align around a vision worth building. I lead with systems thinking, strong cross-functional trust, and an ability to move seamlessly between technical depth and executive storytelling. My goal is always the same: reduce noise, focus the organization, and give teams a clear path to value. My belief is simple: AI won’t transform the enterprise; AI-native platforms will.