Microsoft · Design Director, Copilot for Business Applications
I led the first integration of Microsoft Copilot into Business Applications—turning emerging LLM capabilities into reusable, trustworthy interaction patterns for enterprise products.
Cross-disciplinary work spanning AI UX, design systems, product, brand, and engineering.
Establish the first Copilot experience patterns and a foundation for broader adoption.
Probabilistic outputs, unfamiliar behaviors, trust, accessibility, and consistency across applications.
The work required making unfamiliar technology understandable and useful—while building standards quickly enough to guide adoption.
Focused interaction models on user intent, understandable system behavior, and useful next steps.
Created reusable guidance for prompts, responses, states, controls, and visual treatment.
Made AI behavior, uncertainty, and user control explicit within consequential enterprise workflows.
We explored identity, interaction and visual direction together—giving Copilot a distinctive presence while keeping it coherent with Fluent.
Natural Language to Flow became an early proving ground. Embedded with Power Automate, we defined the components and patterns that brought Copilot into a real enterprise workflow.
We designed the natural-language flow experience to make intent, generated output and refinement easier to understand and control.
We helped establish Microsoft’s first LLM experience guidance, giving product teams a shared foundation for clear, consistent AI interactions.
We clarified how users provide intent, interpret generated responses and remain in control as results evolve.
We created a coherent visual language that signaled AI behavior without sacrificing accessibility, comprehension or product consistency.
