While many approaches focus on adding or refining features, I focus on structuring workflows—because in AI UX, behavior, reliability, and governance set systems apart. Clear workflows define how decisions are made, guide task progression, and introduce control, reducing ambiguity and leading to consistent, trustworthy outcomes.
How I Approach Design
AI Workflow System Modeling
Structure end-to-end AI workflows that turn complex tasks into clear, scalable execution paths, improving usability and efficiency.
AI Behavior Design
Shape how AI assists, guides, and responds within workflows, creating predictable, transparent system behavior that builds user trust.
Validation & AI Governance
Establish validation frameworks and human oversight to ensure accuracy, control, and reliable AI outcomes in high-stakes environments
Scalable Systems
Design reusable workflow patterns and interaction models that scale across products, teams, and evolving use cases.
Strategy & Roadmap Leadership
Define UX strategy and roadmap grounded in research insights and product signals, setting direction and driving alignment across teams to deliver measurable outcomes.