Design System AI-Readiness Audit
In-House Design & Product Teams · $799–$4,500 · 3–10 Business Days · Fixed Scope
Find out if your design system can survive Cursor, Figma Make, and Claude Code
Not a style guide review. Not a Figma tidy-up. A scored, prioritized audit of whether your design system is legible enough for AI agents to build on without inventing new patterns every screen.
Traditional design QA catches inconsistency weeks after it ships. AI agents introduce it in real time — every ungoverned component becomes a new “standard” the next agent copies.
This is for you if
- You use Cursor, Figma Make, Claude Code, Lovable, or v0 to generate UI and you’re not sure what they’re doing to your system
- You have a design system, but nobody can say with confidence which parts are safe for AI to touch
- You’re seeing duplicate components, near-match variants, or “almost right” screens creeping into the product
- You need a fast, scored diagnosis — not a 40-page audit nobody reads
Not the right fit? If you don’t have a design system yet and need one built from scratch, you probably need the Design System for Startups sprint instead.
What you get
| Deliverable | Why it matters |
|---|---|
| AI-Readiness Score (0–100) | Benchmarked against industry design system standards — a number your team can track over time |
| Token audit (coverage + code connection) | Finds where tokens exist in Figma but aren’t wired into code, so agents are already guessing |
| Semantic naming review | Flags components an agent can’t identify by name — the #1 cause of duplicate, near-match UI |
| Component library scan | Surfaces duplicate patterns, orphaned variants, and undocumented states before they multiply |
| Agent-safe zone map | Tells you exactly which parts of the system are safe for AI to build on today |
| Prioritized backlog (P0/P1/P2) | Effort-vs-impact ranked, so your team fixes what actually compounds first |
| Loom walkthrough | Async delivery — no meeting required to understand the findings |
Why this audit is possible in days, not weeks
| Traditional Design QA | Poplab AI-Readiness Audit |
|---|---|
| Manual component-by-component review | AI-assisted scan across the full library — hours, not weeks |
| Inconsistency caught after it ships | Drift flagged before the next agent-built screen goes out |
| Naming reviewed by opinion | Naming scored against how agents actually parse and reuse components |
| Generic “clean up your design system” advice | Specific agent-safe zone map — what to fix first, what’s already fine |
| 2–4 weeks, agency-shaped engagement | 3–10 business days, fixed scope |
AI didn’t create the need for design systems. It just made every gap in yours visible immediately.
How it works
Day 1 — Access & Context
You share Figma file access (and code repo access for full-tier packages) plus which AI tools your team currently uses. No kickoff meeting required.
Days 2–3 — Score (Component Scorecard tier)
AI-Readiness Score calculated, top 10 naming/token issues flagged, quick-win list compiled. Delivered as a scorecard report + Loom walkthrough.
Days 3–7 — Audit (Full Library tier)
Full token audit, component library scan, semantic naming review, and agent-safe zone map. Delivered as an audit doc + prioritized P0/P1/P2 backlog.
Days 7–10 — Roadmap (Overhaul tier)
Everything above, plus a phased remediation roadmap, sample semantic naming spec, and Code Connect / token-to-code mapping recommendations.
Optional — Readout Workshop
60 minutes with your founder + engineering lead to turn the audit into a sprint plan.
Proof
- 31% increase in paid upgrades + 28% higher sign-up completion (LettsArt) — the direct result of a design system with the discipline to stay consistent as AI-assisted screens shipped
- ~60% faster design-to-prototype cycle (AI VentureFactory) — only possible because the underlying system was legible enough for AI tools to build on without drift
- 183% growth in total projects on platform (Maistro) — built on a component architecture disciplined enough to scale without every new screen reinventing patterns
- 40+ component library + design tokens delivered as the foundation for teams shipping 60% faster design-to-build cycles (Design System for Startups clients)
Every AI-generated screen shipped on top of an unscored system is a screen your next audit will have to unwind.
Pricing and Terms
- Price: Component Scorecard $799 · Full Library Audit $2,200 · AI-Readiness Overhaul Roadmap $4,500 (excl. VAT — EU businesses with a valid VAT ID are not charged VAT)
- Timeline: Scorecard 3 business days · Full Audit 5–7 business days · Overhaul Roadmap 7–10 business days
- Payment: 100% upfront to book the slot
- Revisions: 1 clarification round included (questions + prioritization tweaks) — this is an audit, not a rebuild
- Availability: 2–3 audits in parallel max, limited by review depth
Is your design system ready for what’s already building on top of it?
Book a 20-minute call. We’ll confirm which tier fits your stack, what access we need, and what your AI-Readiness Score will actually tell your team.