Scaling design system adoption across product teams
AI-supported workflows help teams build from an organization-wide Figma library instead of recreating screens from scratch, improving consistency, communication, and speed as more designers and developers contribute to the product.
Why the human is still essential here
Humans remain responsible for creating the design system, maintaining the source of truth, and deciding how shared components should evolve as the product grows.
How people use this
Library-first screen assembly
Designers prompt AI to assemble new flows from the team's published Figma library so new screens start with existing components instead of one-off elements.
Figma AI / Figma LibrariesDesign-system documentation Q&A
Team members ask an AI assistant which component, token, or pattern to use and get answers grounded in the organization's design-system documentation.
zeroheight MCP / ClaudeCode reuse from shared components
Developers use AI coding help to implement features with existing Storybook or repository components rather than rebuilding UI patterns from scratch.
Storybook / GitHub CopilotNeed Help Implementing AI in Your Organization?
I help companies navigate AI adoption -- from strategy to production. Whether you are building your first LLM-powered feature or scaling an agentic system, I can help you get it right.
LLM Orchestration
Design and build LLM-powered products and agentic systems
AI Strategy
Go from idea to production with a clear implementation roadmap
Compliance & Safety
Build AI with human-in-the-loop in regulated environments