Design System to AI Prototyping

Design System as real product infrastructure enabling teams to design, prototype, build and test ten times faster

Where It Begins

Enterprise Digital Transformation in need of Robust Design System

I joined the design efforts of Kuoni Tumlare (KT), a large travelling Japanese company. Most of the team was made up of fresh members, since the business was starting a brand new digital transformation initiative to unify multiple internal tools and processes.

My main job was to deliver the Design System, meaning the alignment with branding, the Figma library and design tokens, UI components and Storybook documentation.

The effort did not stop there, part of my work focused on adoption. This was accomplished through internal demos and dedicated trainings for all the designers and product owners who were making up the product teams.

design system component library: buttons, inputs, tabs, table, notifications, collapse, tags and select
What Is Needed?

The Timeline

When I look back, I still believe the biggest challenge came from setting out an aggressive roadmap with ambitious milestones we wanted to hit.

Before the official kickoffs of the individual workstreams, the design system had to be setup and ready for use.

This translated to several critical items I needed to focus on, such as:

  • incorporating the new branding into the theme;
  • establishing and documenting the foundations and design principles;
  • publishing new documentation and migrating old specs to Storybook;
  • actively researching and exploring AI assisted prototyping techniques in the Design Sprints the teams ran.
design system roadmap: branding, principles, Storybook documentation, Figma tokens and development milestones across sprints
What I Got My Hands On

Modern Tooling

Three key ingredients which matter the most: the tools, deep knowledge and active support from technical members.

Figma

Design the UI Components and token management (json export)

Storybook

Live documentation and components showcased and tested.

Git & Bitbucket

Fast updates and re-deploys through Git to Bitbucket repository

Claude Code & Figma MCP

Scaffolding, Prompt to Design, Prompt to Code, and more...

What Is the Process?

Governance

The end-to-end process the Design System team follows when creating a new component — from the initial team member request through design, development, accessibility checks, Storybook integration, and final delivery.

workflow for creating a new component: request, design, feasibility check, implementation review and team update
Get People to Use It

Onboarding and Developing the Team

Only few months in and I already had co-authored and ran two trainings for the Product Designers and Product Owners on working with the new Design System.

training session slide: working the Figma way with the design system library
The Figma Way

Setup the library correctly, navigate and instantiate available components, working with auto-layout and tokens.

training session slide: AI prototyping with Git, Bitbucket and Claude Code
AI Prototyping

Understand Git, Bitbucket and Claude Code prepared commands for creating interactive prototypes.

Prototyping Powered by AI

The Ability to Scale Design

Not too long ago, we had to prototype mainly through mocking hotspots on our canvas or connecting UI elements and instances through arrows, resulting in a spider-web or noodle-soup.

prototyping cycle: clone the remote repo, make changes on your working copy, create the pull request to publish
the Claude Code desktop app running the prepared prototyping commands

The operations were presented as a demo, all doable through the Claude Code Desktop app, as a user-friendly way for those not familiar with VS Code or the terminal window.

the prototypes codebase opened in VS Code

Behind the scenes, the codebase acts as an entire archive or bookstore where each product team can create their own prototypes or modify existing ones.