Spotting and Fixing a Systemic Delivery Inefficiency
3wk
→
5
days per feature, requirement to user validation
a multi-week round trip collapsed into a governed, coded prototype
↓
60–80%
cycle efficiency
faster design-to-production
~40–60%
late-stage rework
indexed to the pre-pilot baseline
Live
features in production
shipped through the new workflow
0
governance gaps
EA review built into the flow
The fix, in four steps
01Index design system
Enterprise component library indexed into the AI tool
02Generate coded prototype
Real, reviewable code — not a mock
03Governance gate
EA review before merge, built in not bolted on
04Merge to production
Prototype code ships through the enterprise PR path
AI Tooling & Integration
Coded Prototyping
Governance Design
Enterprise Leadership
The starting point
The team wasn’t slow — the process was.
A single feature took a multi-week round trip, requirement to validation. The bottleneck wasn’t effort — it was a sequential handoff that reinterpreted intent by hand at every stage.
A long cycle
Requirement to validation for a single feature ran to a multi-week round trip.
A lossy handoff
Static Figma intent, re-interpreted by hand into code every time.
Late validation
Stakeholders saw nothing working until near deployment.
Rework, late
Rework peaked exactly when it cost the most — late in the build.
A slow process gets blamed on people. This one wasn’t.
Measured, not estimated
Weeks
legacy SDLC baseline
Design-to-production, requirement to validation
~5 days
fastest observed cycle
AI-assisted SDLC, same requirement-to-validation path
~40–60%
fewer late-stage changes
Indexed to the pre-pilot baseline (100%)
The fix
Remove the handoff — prototype in code, governed.
UX positioned the coded prototype as the artefact that ships, with governance built into the workflow instead of bolted onto the end of it.
PrototypeDesign system indexed, code generated
Enterprise component library · AI tooling
GovernEnterprise architecture review
Before merge, not after deployment
ShipStandard PR path, no shortcuts
Prototype code is the code that ships
The judgment calls
01Speed vs. security review
Built the governance gate into the workflow, not around it
02Prove broadly vs. deeply
Shipped a small number of features to production, not a demo
03New tooling vs. existing stack
Kept everything inside the existing enterprise infrastructure
We didn’t make the handoff faster — we removed the stage that made it slow. The prototype is the artefact that ships.
The proof
Every stage of delivery changed.
Cycle time
60–80%
faster design-to-production
A multi-week feature cycle compressed to as little as a few days
Late-stage changes
~40–60%
fewer late-stage changes
Validation moved earlier — issues surfaced before development began
Production
Live
features shipped through the new workflow
Deployed within months of the pilot’s launch
Governance
0
governance gaps
EA review built into the flow, not bolted on
Voice of the team
Stakeholders saw working software early — approvals stopped being a gamble. (Product)
Proof isn’t a faster demo — it’s features in production, governed, that earned the right to scale.
See the full study
The complete case study covers the measured figures, the decision record and the team’s verbatims.
Available on request — book a call and I’ll walk you through it.