71% of design-system teams plan AI automation by 2026. But most systems are not machine-readable — tokens without semantics, components without metadata, pipelines without validation. The upgrade is not a rebuild. It is a migration.
Your tokens are called --blue-500 or --spacing-4. No AI tool can infer what these values stand for — intent, context, and hierarchy are missing.
Components have no machine-readable description. AI agents guess which props belong together, which variants exist, which constraints apply.
AI readiness is delegated to Figma plugins or Copilot. When the tool changes, the AI capability is gone — because it was never in the system.
Kein Neubau. Dein bestehendes Design System wird auf maschinenlesbare Architektur migriert — DTCG-konform, tool-agnostisch, governance-fähig.
Move your token architecture to the W3C Design Tokens standard — with semantic tiers, machine-readable naming, and tool-agnostic export.
Every component gets machine-readable props, usage guidelines, and constraints. AI tools know what is allowed — instead of hallucinating.
Token validation in the CI/CD pipeline. MCP server for AI tool integration. Automated export to every framework — independent of Figma.
Automated checks whether new variants conform to the system. Design drift is detected before it reaches production.
Baseline: token structure, naming conventions, metadata coverage, pipeline setup, tooling dependencies. Result: an audit report with a concrete roadmap.
DTCG-compliant token migration, metadata layer for all components, MCP server setup, pipeline integration. No rebuild — your existing system is upgraded.
Testing with AI tools (Copilot, Cursor, Claude, internal agents). Team onboarding on the new structure. A governance framework for sustainable AI readiness.
Ein DTCG-konformes Token-System ist an kein Tool gebunden. Nicht an Figma, nicht an Copilot, nicht an einen bestimmten AI-Anbieter. Jedes Modell — auch EU-gehostete oder Open-Source — kann dein System lesen, nutzen und respektieren.
of European software spending goes to US vendors
of enterprise apps will embed AI agents by 2026 (Gartner)
of design systems fail within 18 months
In 1–2 Tagen wissen wir, wo dein Design System steht — und was es braucht, damit AI-Tools es nutzen können.