Services
AI Product Design Services
I help enterprise teams design AI-assisted tools, decision-support systems, and operational workflows that turn complex, probabilistic data into clear, actionable interfaces. My work spans the full product lifecycle: from diagnosing the real problem beneath a fuzzy brief, through research and systems modelling, to shipped interfaces that hold up under real-world constraints.
Approach
My background in architecture trained me to design within constraints before aesthetics. I bring that same discipline to AI products: modeling the system before drawing the screen, prototyping in code before an engineer commits, and designing the uncertainty rather than around it. Whether the challenge is trust calibration for an 85% accurate ML pipeline, human-in-the-loop validation workflows, or information architecture for dense multi-source data, the goal is the same: make the right parts of reality visible to the right people at the right moment.
I work with product teams, engineering leaders, and founders who need design that speaks the language of metrics, conversion, and value while keeping the human at the center of the automation. AI automation only earns its place when people stay inside it, so I build empathy, feedback loops, and new interaction patterns into the system rather than treating the human as a fallback.
The result is enterprise software that expert users can trust under pressure: interfaces where machine-learning output becomes legible, confidence signals are interpretable, and the boundary between AI autonomy and human judgment is clear enough to act on.
What I offer
01
AI / ML Decision-Support Design
AI/ML
Designing interfaces where machine-learning output becomes actionable, trustworthy, and interpretable for expert users operating under time pressure and real-world constraints. Includes confidence-signal design, interpretability layers, and human-in-the-loop review flows.
02
Enterprise Workflow Design
Enterprise
Translating complex, multi-step operational processes into coherent product flows that hold up across teams, roles, and organizational scale. From invisible system states to recoverable, checkable workflows.
03
Human-in-the-Loop Interaction Patterns
AI/ML
Calibrating the boundary between AI autonomy and human judgment: making it clear when the system acts, when it defers, and how users stay in control. Agentic task flows and LLM output structuring.
04
Platform Onboarding & Activation
Enterprise
Surfacing hidden system complexity to move users from first activation to confident, habitual use without support escalation or guesswork.
05
Design Systems at Scale
Design Systems
Building the token, component, and documentation infrastructure that keeps a whole product team consistent without re-deciding every interaction.
06
Product Strategy & Vision
Strategy
Connecting design decisions to business outcomes: metrics, conversion, and value, while keeping the human at the center of the automation.