Design System AI Readiness Assessment
Design System AI Readiness Assessment
We assess your design system’s components, rules and connections to code to determine how ready it is for AI. You’ll receive a clear overview of what works well, where the gaps are and what could be improved to make AI more useful in design and development.
Get in touchWhat you gain from an AI-ready design system
Test new ideas faster
Product owners can turn ideas into prototypes using existing design system components, making it easier to test and refine changes before investing in development.
Reduce duplicate work
When prototypes use real code components, part of the work can be reused in development instead of rebuilding the same interface from scratch.
Apply rules more consistently
Brand guidelines, interaction patterns and accessibility standards can be applied more consistently while still allowing for local differences across brands or markets.
Free up experts for higher-value work
AI can help find and combine existing components, giving designers and developers more time to focus on work that requires their expertise and judgment.
Why your existing design system may not be enough
A design system may work well for people, but AI agents need structured, machine-readable information to use its components reliably.
If component names, properties, states, usage rules or links to code are unclear, AI may struggle to choose the right component or use it correctly.
The same applies to content and accessibility guidelines. If they are not clearly documented and easy to find, AI-generated output will require more manual review and correction.
What the AI readiness assessment covers
Components and tokens
We assess your components, design tokens and their machine readability, as well as how any gaps may affect the way AI can use the design system.
Figma and code connections
We review how Figma components connect to code and identify missing links, inconsistencies, variants and outdated elements.
Documentation, usage guidelines and accessibility
We assess whether AI has enough information to choose and use components correctly, including usage constraints, content guidelines and accessibility requirements.
Practical AI test
We test a focused use case to see how AI works with your existing components, where it makes mistakes and how much human input is needed to refine the result.
What you get from the assessment
By the end of the assessment, you’ll have a clear overview of your design system’s AI readiness and concrete next steps.
- An assessment of the AI readiness of your components, design tokens, documentation and code connections
- An overview of missing or inconsistent links between Figma and code
- A list of information AI still needs to use components correctly
- Results from the practical AI test, including the main issues identified
- Recommendations for giving AI agents access to your design system and code
- Prioritised actions with ownership and initial effort estimates
- A pilot proposal with a suggested use case, team and success metrics
You’ll benefit most from this assessment if...
You already have an established design system
Especially if the same design system is used across multiple digital products or services.
You work across multiple brands, markets or countries
The assessment helps you understand how AI can apply shared components and guidelines consistently while preserving the local differences that matter.
You want to use AI in prototyping and product development
The assessment helps create a stronger foundation for testing ideas faster and reducing repetitive work across design and development.
Let’s explore how AI-ready your design system is
Interested? Leave us your contact details and we’ll get in touch to arrange a free 30-minute call.
We’ll discuss how we assess your design system’s AI readiness, what value it could bring to your organisation and what the most sensible next steps might be.
Our design systems expert
Hardi Niilo is Head of Design Systems at Trinidad Wiseman and has over 12 years of experience in user interface design. His strength lies in bridging design and development to ensure that components are both visually consistent and technically reliable.
