Design system audit
Every screen, component, and inconsistency inventoried — with AI-assisted scanning — into a clear map of what to unify first.
Design system services for scaling B2B products. We turn repeated design decisions into tokens, components, patterns, and documentation — so every team ships the same product.
A design system is the shared foundation a product ships on: tokens, components, patterns, and documentation kept in sync between design and code — so new features assemble from proven parts.
We use AI to generate and maintain the documentation layer most systems never get. Designers own structure and quality.
Every screen, component, and inconsistency inventoried — with AI-assisted scanning — into a clear map of what to unify first.
Color, type, spacing, radius, and elevation as named design tokens — one source of truth for design and engineering.
Accessible, variant-complete components in Figma, mapped one-to-one to your codebase.
Repeatable flows — forms, tables, empty states, onboarding — solved once and reused everywhere.
Usage rules, do-and-don'ts, and a contribution process — AI-maintained, so docs never fall behind the product.
Staged milestones in priority order — following our decision-led design process — so the system pays off from the first release, not after a year-long rebuild.
We inventory the current UI, measure inconsistency, and agree what the system must cover first to pay off fastest.
Design tokens and primitives land first, so every later component inherits the same decisions — in Figma and in code.
The library grows in priority order — built against real product screens, not abstract examples — with engineering reviewing parity.
Docs, usage rules, and a contribution model roll out with the system. We stay on to govern it — or hand it to your team.
Most scaling products have a UI kit and call it a system. The difference shows up in every release.
| Criteria | Design system built by Ailume | UI kit |
|---|---|---|
| Scope | Tokens, components, patterns, docs — in design and code | Screens and styles in Figma |
| Source of truth | One versioned system | Whatever file is newest |
| Documentation | Built in, AI-maintained | Rare, goes stale |
| Cost of a new feature | Assembled from proven parts | Redrawn each time |
| Consistency across teams | Enforced by structure | Drifts with every release |
| Engineering parity | Mapped one-to-one to code | Design ≠ code |
FintechMobile appUX/UIDesign system
B2B SaaSWeb platformUX/UIDesign system
EdTechAIMobile appDesign system
EdTechWeb platformUX/UIRetention design
If two or more of these sound familiar, the product needs
a system, not more screens
The same button exists in five slightly different versions
New designers and engineers take weeks to learn "how we do things"
Every feature re-opens debates the team already settled
Design and code drifted apart and handoff turned into archaeology
Multiple teams ship to one product with visibly different results
A rebrand or redesign is coming and the UI has no single source of truth
Design-system coverage
90%Brief to first concepts
8 daysCost per iteration
-30%Both. We build systems from scratch for products that never had one, and we audit, consolidate, and extend systems that drifted. The starting point is always the same: an inventory of what exists and a map of what to unify first.
Foundations — tokens, primitives, and the first critical components — land in weeks, not quarters. Coverage then grows in staged milestones in priority order, so the system pays off from the first release instead of after a year-long rebuild.
Both sides of the contract. The Figma library ships with tokens exported in a format your stack consumes, and we review component parity with your engineers — so design and code stay mapped one-to-one instead of drifting apart.
Your choice. We hand over a contribution model and governance rules your team can run — or our embedded design team keeps maintaining the system as the product grows. Either way, the documentation stays current: AI keeps it in sync.
AI scans the product during audits, generates variant and state coverage, and writes and maintains the documentation layer most systems never get. Designers own the structure, naming, and quality of every token and component.
It's scoped by coverage: how many components, patterns, and platforms the system must serve first. Because AI removes most production and documentation drag, the same coverage typically costs meaningfully less than a traditional agency build — here's the math behind AI-augmented product design cost.
Show us your product and your UI kit. We'll map what a working design system would cover first — and what it would save you every release after that.
Scale my system