That's more common than not having one. A design system that isn't working
is usually a governance problem, not a component problem — unclear ownership,
no contribution model, drift between code and design. We audit how the system
is actually used, then fix the operating model around it: decision rights, contribution
workflow, release cadence, documentation engineers accept. Sometimes
the answer is consolidating what you have rather than rebuilding — that's a cheaper
answer, and we give it when it's true. For teams preparing for AI tooling (Code
Connect, MCP, DTCG tokens), we assess AI-readiness specifically.
That's more common than not having one. A design system that
isn't working is usually a governance problem, not a component
problem — unclear ownership, no contribution model, drift
between code and design. We audit how the system is actually
used, then fix the operating model around it: decision rights,
contribution workflow, release cadence, documentation
engineers accept. Sometimes the answer is consolidating what
you have rather than rebuilding — that's a cheaper answer, and
we give it when it's true. For teams preparing for AI tooling
(Code Connect, MCP, DTCG tokens), we assess AI-readiness
specifically.
That's more common than not having one. A design system that isn't working is usually
a governance problem, not a component problem — unclear ownership, no contribution model,
drift between code and design. We audit how the system is actually used, then fix the operating
model around it: decision rights, contribution workflow, release cadence, documentation engineers
accept. Sometimes the answer is consolidating what you have rather than rebuilding — that's
a cheaper answer, and we give it when it's true. For teams preparing for AI tooling (Code Connect,
MCP, DTCG tokens), we assess AI-readiness specifically.
That's more common than not having one.
A design system that isn't working is usually
a governance problem, not a component
problem — unclear ownership, no contribution
model, drift between code and design. We
audit how the system is actually used, then fix
the operating model around it: decision rights,
contribution workflow, release cadence,
documentation engineers accept. Sometimes
the answer is consolidating what you have
rather than rebuilding — that's a cheaper
answer, and we give it when it's true.
For teams preparing for AI tooling (Code
Connect, MCP, DTCG tokens), we assess
AI-readiness specifically.