CZ / FORWARD · AI-NATIVE BUSINESS BUILDER
I’m Nick Zhu. I work across AI-native consulting, product development, and system delivery.
Working in a forward-deployed mode, I enter the business context, translate real problems into product architecture, domain knowledge, and human–AI workflows, and stay involved through building, validation, and use. My work spans investment research, manufacturing operations, and enterprise knowledge systems, alongside research into ontology-driven applications.
Shenzhen / Southeast Asia · Independent consulting & product development
SELECTED PRACTICE
Selected client delivery and internal capability work, showing how I connect business understanding, product design, and engineering.
01 / CLIENT DELIVERY
Delivered · In research use
Research and intelligence systems built for private investment firms, bringing sources, evidence, AI-assisted analysis, and human judgment into a shared workflow for real research work.
MY CONTRIBUTIONResearch workflow design, product definition, AI-assisted development, and delivery.
Explore this work02 / CLIENT DELIVERY
In production use · Business-user validation
A coordination system for an export-oriented manufacturer serving European and US customers, bringing order milestones, supplier fulfillment, and quality issues into a shared operating view.
MY CONTRIBUTIONBusiness discovery, system design, AI-assisted development, deployment, and delivery.
Explore this work03 / INTERNAL CAPABILITY
In internal use · Ongoing development
Designed professional knowledge structures, selected sources, reviewed content quality, and interviewed industry experts to build a knowledge platform and domain-expert agents for project analysis and solution design.
MY CONTRIBUTIONKnowledge engineering, expert-role and task design, and content governance.
Explore this workIN DEVELOPMENT / PRODUCT & ARCHITECTURE DESIGN
I am designing an ontology-driven application system built around business objects, relationships, rules, and approved actions—exploring how enterprise data, domain knowledge, AI analysis, and business operations can work together.
Design concepts and their shared business context—not a runtime data flow.
The question is not only what AI can answer, but how it understands business context, what evidence informs its judgment, and which actions still require human authorization.
Product definition and overall architecture design; preparing to begin development. Not yet live.
Explore the research directionFDE / HOW I WORK
My role goes beyond recommendations or development alone. I connect business needs, product definition, and engineering delivery so technical choices stay grounded in real tasks and operating conditions.
OPERATING PERSPECTIVE
My background spans enterprise software, digital transformation, commercialization, and global GTM. From industrial systems and digital commerce to brand, ecosystems, overseas markets, and AI product development, these experiences keep technical feasibility, business adoption, and operating responsibility in the same view.
FIELD NOTES
Notes on AI-native transformation, FDE practice, and enterprise AI cases: how technology enters real work, and the conditions and limits behind reported results.
CONTACT
If you are exploring an AI application, redesigning a workflow, or taking a prototype into real use, we can begin with the problem, the conditions today, and the next change worth testing.
