Business analysis
Turning ambiguity into specification — surfacing the process nobody wrote down, resolving the contradictions between teams, and holding one source of truth steady through delivery.
TZ-100 · Neural Accelerator
8192 Cores · 96GB HBM
8192 Cores · 96GB HBM
Core Clock 2.41 GHz
Thermals Nominal
Thermals Nominal
Portfolio Transmission · MMXXVI
Tony Zhao
Business AnalystAI Product BuilderDigital Transformation
Building intelligent systems that connect
business strategy, user needs, and AI.
Professional Positioning
Information Systems,end to end
I studied Information Systems, built enterprise product experience across consulting and SaaS delivery, and have kept building real digital products outside work through disciplined, self-funded experimentation.
AI product development
Making model capability into product. Workflow design, structured output, guardrails and evaluation — treating AI behaviour as a surface to be specified rather than configured.
Digital transformation
Process to platform, end to end. Discovery, prototyping, specification, development support, testing, documentation and handover that leaves a team able to run it alone.
Selected Missions
Mission Control
Enterprise delivery, AI products and transformation strategy. Each one starts as an ambiguous business problem and ends as something a client can act on.
Systems Array
Capability Field
Not a logo wall. The instruments actually flown — hover any node to isolate its signal.
01Requirements AnalysisAmbiguity → specification95
02Product ThinkingIntent → scoped modules92
03UXFlows, states, decision moments88
04Enterprise SaaSDiscovery → delivery → handover90
05AI Workflow DesignModel capability → usable product93
06TestingFunctional, usability, A/B86
07DeliverySpecification that survives the build89
08System ThinkingModules, contracts, boundaries88
Onboard Systems
Meet Moo,the co-pilot
Moo is an astronaut cat who has read the whole portfolio and nothing else. Ask her about a project, a method, or what Tony actually did on a delivery — she answers from the published case studies, and points you to Tony for anything beyond them.
She is bottom-right, permanently. Pet her enough times and she purrs. Ask her something manipulative and she hisses.
Co-pilot online
“Hi, I'm Moo — Tony's AI co-pilot. Ask me about his projects, experience, or product approach.”
- What kind of Business Analyst is Tony?
- How does the AI Teacher Growth Platform work?
- Which project shows end-to-end delivery?
The Journey
Business Analyst.AI Product Builder.
I studied Information Systems, developed enterprise product experience across consulting and SaaS delivery, and have continuously built real digital products outside work through disciplined, self-funded experimentation.
- 01Information Systems
- 02UX & Product Thinking
- 03Enterprise Digital Transformation
- 04Business Analysis
- 05AI Product Development
- 06Independent SaaS Builder
Start with the process nobody wrote down
The documented process and the real one are rarely the same. The first job is always to surface the difference, because every requirement built on the documented version inherits its gaps.
Make it tangible before making it final
Written requirements get agreement; prototypes get argument. A clickable screen surfaces constraints that weeks of workshops leave unspoken, which is why prototyping is analysis rather than decoration.
Specify AI behaviour like a product surface
For an AI product, prompt design, output schema and failure behaviour are what the user experiences. They deserve acceptance criteria, not configuration files.
Open Channel
Let's build the nextintelligent system.
Available for business analysis, AI product design and digital transformation work. Send a signal — I answer everything.