The cost and scope of making a design system AI-ready

It comes down to 4 things, and each can be answered before anyone quotes:

• What exists. Design tokens in code or only in a design file; components typed or not; docs built from the source or written by hand in a hosted tool.
• How many surfaces. One React app is one job. A web app, a marketing site and email templates on 3 stacks are 3.
• How much the agent must reach. Rules alone, or the whole catalog of components and design tokens mid-task.
• How strict the output must be. A team that ships what the agent makes after a glance needs fewer checks than one whose brand has to hold on every screen.

The order follows the ranking’s columns, then goes past them.

1. Written guidance. A file of rules for agents. The work is deciding the rules, not typing them, and it earns 2 points.
2. Docs as text. An llms.txt and a Markdown copy of each page. Small when the docs are built from source files, larger when they live in a hosted docs tool that cannot export them. 2 points.
3. Design tokens as data. An export to a token file, a layer of names by job and a description for each. Larger when values are scattered through the code. 1 point becomes 2.
4. Agent access. An MCP server: real software, hosted or shipped as a package, and kept in step with every release. The last 2 points.
5. Checks on the output. A checker for values written by hand, lint rules, a test set and a review step. No points on the board, and most of the value in daily use.
6. A design system, if there is none. Everything above is built on it, so it comes first and it is the largest part.

The cost of doing nothing rarely shows on an invoice. It shows on a calendar. Simbolik’s service page puts its own view plainly: AI gets the work to about 70%, and the rest lands on the most senior person, every week. Whatever your own share is, count the hours someone spends fixing agent output now; that is the number the work is weighed against.

1. Score the system. How to raise your design system’s AI-ready score gives you the baseline and the list of gaps.
2. Run a pilot. A bounded pilot turns that list into the gaps that actually cost your team time.
3. Write the brief. The procurement brief for an AI-ready design system asks for each part with proof.
4. Ask for one page. Scope, what is left out, the timeline and the price, agreed before work starts.

A team with people who maintain its design system can usually do steps 1 to 3 of the work itself; the server and the checks need engineering time on top. Having it built makes sense when no one in-house owns the system, or when the output has to look like your brand and nobody has written that brand down as rules. Simbolik builds that kind of system; Work with Simbolik (opens in a new tab) for a proposal, or compare the public route on the best AI-ready design systems, ranked.