What is an agentic design system?

An agentic design system is an AI-powered design system that uses AI agents to automatically observe, detect, suggest, fix, and learn from issues like accessibility regressions, token misuse, and documentation drift. This reduces maintenance time from 30-40% to automated workflows.

What are the five agentic flows for agentic design systems?

The five agentic flows are: Observe (monitor design system health), Detect (identify issues like accessibility regressions and token misuse), Suggest (propose fixes), Fix (automatically resolve issues), and Learn (improve over time based on patterns).

How do you encode intent in a design system?

Design systems need to encode intent, not just values. This means validating meaning across tokens, components, and documentation to ensure the system understands the purpose behind design decisions, not just the visual values.

Who should attend this session on agentic design systems?

This session is for design system maintainers, product designers, and product (design) leaders who want to reduce maintenance overhead and implement automated workflows for design system health.

How much time can agentic design systems save?

Most design system teams spend 30-40% of their time on maintenance tasks like fixing accessibility regressions, detecting token misuse, and updating documentation. Agentic design systems can reduce this to near zero through automated workflows.

What is the difference between agentic design systems and traditional design systems?

Traditional design systems require manual maintenance and constant human oversight. Agentic design systems use AI agents that automatically observe system health, detect issues, suggest fixes, implement solutions, and learn from patterns to continuously improve without constant human intervention.

Can agentic design systems work for any company size?

Yes, agentic design systems can be implemented at any company size. The session covers realistic implementation paths that scale from small teams to large enterprises, with practical approaches for different organizational contexts.

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Design Systems

Agentic Design Systems

Live

30 MIN + Q&A

About this Session

Design systems demand constant maintenance. Accessibility regressions, token misuse, documentation drift... Most teams spend 30-40% of their time just keeping things working. But a new approach is emerging: agentic design systems. Systems built for AI collaboration, where agents observe, detect, suggest, fix, and learn. I will walk you through agentic flows, and be honest about what works today vs. what's hype.

From my talk, you will learn:

•Why your design system needs to encode intent, not just values and how to validate meaning across tokens, components, and documentation
•The five agentic flows that enable automated design systems (Observe → Detect → Suggest → Fix → Learn)
•A realistic implementation path for any company size

Who is this for?

Design system maintainers, product designers, product (design) leaders

Presented by:

Romina Kavcic

she/her

Design System Lead

The Design System Guide

Romina Kavcic is a design leader with 17+ years at the intersection of product strategy, design systems, and AI. She builds scalable foundations, coaches teams, and shares what's next at thedesignsystem.guide and aidesign.guide.

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You'll learn:

How the Spotify Design System team built their MCP

Best practices for prompting in Cursor so AI generates the design you expect

How to work with context-based Design Systems and helpful plugins