Personal AI assistants are great for one-off tasks, but an enterprise SOP needs predictable outcomes, an audit trail and data that never leaves your environment. Alvin Wu shows how Dify's low-code agentic workflow platform delivers all three on Red Hat OpenShift, with a real-world banking deployment running 100+ live agents across five departments, followed by quick demos of a prompt-built workflow and a government service hotline that turns free-text requests into structured, traceable cases.
Alvin is in charge of SEA at Dify, leading market strategy and operations while partnering with service partners and ecosystem partners to help enterprises scale AI Agent and AI workflow adoption.
With cross-domain experience across hardware, software, and AI, he has led multiple 0-to-1 products from ideation to launch at both global enterprises and startups. Alvin specializes in end-to-end enterprise AI adoption and brings a well-rounded perspective from working across end customers, consultancies, and vendors, backed by solid project management and business fundamentals.