— Our story
Considered
AI Practice
Lithograph was founded to do AI work properly — clearly scoped, thoroughly documented, and suited to the organisations we serve in Hong Kong.
Back to Home— Who we are
About Lithograph
Lithograph began as a response to a pattern we kept encountering — organisations in Hong Kong receiving AI proposals they couldn't properly evaluate, or implementing systems that weren't well matched to their actual needs. We believed there was space for a practice that approached this work differently.
We focus on three areas where AI can genuinely contribute: healthcare data analysis, conversational interface design, and independent review of AI proposals. These aren't areas we entered casually — they reflect where we have the depth to do thorough work.
Our approach treats documentation as a core deliverable, not an afterthought. When we finish a project, the people responsible for it inside your organisation should understand what was built, how it works, and what its limitations are. That matters particularly in regulated environments like healthcare.
We're a small practice by intention. That keeps us close to the work and accountable to the clients we take on. We don't pursue volume — we pursue quality.
7+
Years Active
60+
Projects Delivered
3
Core Services
HK
Home Base
Our Mission
To make AI work accessible, understandable, and genuinely useful for Hong Kong organisations — without the noise, overselling, or opacity that too often surrounds this field.
Our Values
- Transparency in what AI can and cannot do
- Careful handling of sensitive data
- Deliverables that outlast our involvement
- Independence from platform vendors
— The people
Our Team
Daniel Kwok
Founder & Principal
Over 14 years across data science, clinical informatics, and technology consulting in Hong Kong and the broader Asia-Pacific region. Leads engagement design and technical direction.
Sophie Lam
Conversational Systems Lead
Specialises in designing conversational interfaces and dialogue systems that feel natural and perform reliably. Background in UX research and applied NLP across financial and public sector clients.
Marcus Chan
Healthcare Analytics
Brings clinical operations experience alongside statistical modelling expertise. Ensures analytical outputs are grounded in practical healthcare context and suitable for governance review.
— How we work
Quality Standards
Data Security
All data handling follows defined access controls, encryption in transit, and agreed retention schedules. Healthcare data receives specific protocol treatment aligned with HKMA and HA guidelines.
Delivery Documentation
Every project includes technical documentation, a plain-language summary, and supporting materials appropriate for clinical governance, IT review, or executive briefing.
Independent Review
Before delivery, outputs undergo internal review separate from the build team. This applies to both analytical models and conversational system designs.
Scoped Engagements
We define scope clearly at the start of each engagement. Changes are discussed and agreed before work proceeds — not added quietly and invoiced later.
Privacy Protocols
Consistent with Hong Kong's Personal Data (Privacy) Ordinance. We sign data processing agreements where applicable and advise clients on their own obligations.
Clear Communication
We avoid jargon in client communications. Progress is reported in plain terms, and we flag issues early rather than managing around them.
— Expertise
AI Practice in Hong Kong's Professional Landscape
Hong Kong's professional sector — healthcare, finance, logistics, education — has specific characteristics that distinguish it from other markets. Regulatory frameworks, data sovereignty considerations, language contexts, and institutional culture all shape what AI work looks like in practice here.
Lithograph's expertise is built from direct experience in these environments. Our healthcare analytics work draws on familiarity with Hospital Authority data structures and clinical workflow realities. Our conversational interfaces account for Cantonese-English bilingual interaction patterns common in local service contexts.
When we review AI vendor proposals, we're not applying generic checklists — we're drawing on an understanding of what's realistic to build and maintain within Hong Kong's talent and infrastructure landscape. That local perspective meaningfully improves the quality of our assessments.
We believe AI's contribution to professional work is most valuable when it's narrow, clear, and properly governed — and most problematic when it's broad, ambiguous, and opaque. Our practice is oriented toward the former.
— Work with us
A considered conversation costs nothing
If you're curious about whether an AI approach might suit your situation, we're happy to talk it through without any commitment attached.
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