Design

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 Libraries

Design-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 / Claude

Code 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 Copilot

Need 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

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Blog

How Decagon uses AI for design system saturation

The fast-growing customer experience platform explains how Figma MCP and Figma Make helped them scale a new design system and keep pace with customer requests.

JX
Jenny XieEditor, Figma
Jul 10, 2026