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Engagements that ship foundations and adoption.

Strategy, delivery, and advisory engagements for design systems, governance, and AI workflows. 50+ systems shipped. 10+ teams coached.

Design System Foundation Sprint (2-4 weeks)
Tokens, component contracts, documentation baseline, contribution model draft.
Designed for fast decision-making, measurable outcomes, and durable adoption.
Governance + Adoption Setup (2-3 weeks)
RFC process, release cadence, deprecation policy, adoption metrics dashboard.
Designed for fast decision-making, measurable outcomes, and durable adoption.
Figma <-> React Alignment (1-2 weeks)
Component spec cleanup, naming/contracts, handoff rules, Storybook docs structure.
Designed for fast decision-making, measurable outcomes, and durable adoption.
Advisory Retainer (monthly)
Ongoing decisions, reviews, roadmapping, coaching.
Designed for fast decision-making, measurable outcomes, and durable adoption.

DIY vs. working with me

You can absolutely build a design system yourself. Here's what changes when you bring in someone who's done it 50+ times.

Service comparison showing DIY approach versus working with me
AspectDIYWith me
Timeline to first components3-6 months2-4 weeks
Token architectureTrial and errorProven patterns from 50+ systems
Figma ↔ Code syncManual, drifts over timeAutomated pipeline, single source
Governance modelOften skippedRFC process, versioning, deprecation
Adoption strategyHope teams use itMigration paths, metrics, incentives

Real deliverables, not decks

Every engagement ships working artifacts. Tokens that build. Components that render. Docs that teams actually read.

json
// What you get: Real token output
// tokens/semantic.json
{
  "color": {
    "action": {
      "primary": { "$value": "{color.brand.500}" },
      "primary-hover": { "$value": "{color.brand.600}" }
    },
    "feedback": {
      "success": { "$value": "{color.green.500}" },
      "error": { "$value": "{color.red.500}" }
    }
  }
}

Recent engagements

Case studies from enterprise teams. Real problems, real solutions, real outcomes.

Questions leadership teams ask first

Who are these services for?
These engagements are for leadership teams, design leads, and product organizations that need a clearer design system strategy, better governance, or faster AI workflow adoption without lowering quality.
What do teams usually get from an engagement?
Typical outputs include a clearer token and component model, governance rules, adoption guidance, practical documentation, and a next-step plan the team can keep using after the engagement ends.
How are these engagements different from generic design consulting?
The focus is on shipped systems, operating models, and adoption. The goal is not just better slides, but stronger foundations that engineering, design, and leadership can all use in practice.
Start with a short intake
Tell me what you're shipping and where the friction is.
I'll reply with next steps, scope, and a clear recommendation.