Evidence integrity
Assess whether the underlying signal and correlated evidence are reliable enough to support a proposal.
Software change governance control plane
Govern software change at AI speed.
ZeroUI is building a software change governance control plane designed to turn organizational intent into executable controls for human and AI-generated software change—while accountable people remain in control.
Built for enterprise engineering, security, compliance, architecture, platform, and release teams.
Illustrative intent · Policy Studio
“Sensitive-service dependency changes require accountable human approval.”
Translated into governed decision logic, explanation, evidence requirements, and remediation guidance.
Hold for reviewPolicy matched · explanation ready
✓
No silent policy rewrite
Accountable owner remains in controlReview → simulate → approve → publish
The governance gap
Software can now change faster than an organization can safely govern that change.
Intent
Business rules, compliance obligations, security requirements, architecture standards, and release controls live across disconnected documents and systems.
Translation
Policy owners and engineering teams repeatedly translate the same requirement into reviews, scanners, tickets, and pipeline gates.
Timing
Problems are often detected after the code is created—when remediation is slower, evidence is fragmented, and risk has already accumulated.
ZeroUI Policy Studio
Define intent once. Govern it everywhere.
Policy Studio helps business and technology policy owners express what the organization requires in their own domain context, then transform that intent into centrally governed, executable controls.
- Connect organizational intent to enforcement logic.
- Preserve ownership, review, approvals, and policy history.
- Publish consistent controls across multiple lifecycle points.
“Customer data must not cross an unapproved regional boundary during a software change.”
Scopeservices:data-processing/*
Decisionblock when target_region ∉ approved_regions
Evidenceactor · policy snapshot · region context · outcome
Remediationselect an approved region or request owner review
Governance where work happens
One governed flow across the software lifecycle.
Relevant policy decisions, explanations, remediation guidance, re-checks, and evidence are designed to meet developers and AI agents inside the workflows they already use.
01
IDE
Guide change as it is created.
02
Local version control
Check before change leaves the workstation.
03
Repository
Apply governed context to the change.
04
Pull request
Explain decisions and required action.
05
CI/CD
Evaluate policy with delivery evidence.
06
Deployment
Respect release and environment controls.
07
Runtime
Observe outcomes and learn safely.
AllowWarnHoldBlockExplainGuide remediationRe-checkRecord evidence
ZeroUI Production Learning Loop
Let production teach governance—without letting it take control.
Production signals can reveal hidden failure modes and unsafe assumptions. ZeroUI is designed to turn sufficiently reliable lessons into proposed intent for governed review, rather than automatic policy.
Production can teach ZeroUI, but production cannot silently rewrite organizational policy.
01
Observe and correlate
Connect production signals with change and policy evidence.
02
Test causal hypotheses
Assess confidence, integrity, and generalizability.
03
Analyze policy impact
Check overlap, conflict, history, blast radius, and consequences.
04
Review and simulate
An accountable owner decides whether the lesson should become policy.
Approved intent returns to Policy Studio for governed publication
Built for legacy reality
Safer change without pretending the past can be replaced.
Critical systems carry undocumented dependencies, historical conventions, architectural constraints, and years of accumulated technical debt. ZeroUI is intended to help teams work within that complexity while improving release safety.
Documented standardsThe rules the organization already knows.
Architectural constraintsBoundaries that keep critical systems dependable.
Hidden operational knowledgeDependencies and behavior revealed through real operation.
Governed organizational intentExplicit, reviewable, reusable controls for the next change.
Human control by design
Learning is proposed. Policy is governed.
Before a production-derived lesson can enter the authoritative policy system, ZeroUI is designed to evaluate its evidence and impact. The accountable human owner decides whether it should become organizational policy.
Impact analysis
Review overlap, conflicts, historical behavior, blast radius, and expected enforcement consequences.
Simulation and approval
Test a candidate against representative change history before an accountable owner approves publication.
Closed-loop governance
Human-defined intent meets operational reality.
Top-down knowledge and bottom-up learning converge in Policy Studio, the authoritative place where approved intent becomes governed, executable policy.
Known intentRequirements and standards
Policy StudioGoverned controls
Software changeHuman or AI generated
ProductionObserved outcomes
Proposed intentValidated learning
Human approvalReview and simulation
Improved policySafer future change
Reference library
Build a shared language for governed change.
Explore ZeroUI’s definitions, conceptual models, and perspectives. Each resource distinguishes product direction, illustrative examples, and verified evidence.
What is software change governance?
A practical definition, lifecycle model, evaluation checklist, and human-approval boundary.
AI coding governance guide
Tool-neutral controls for assistants and agents from the IDE through production.
Public control matrix v0.1
Versioned control IDs, lifecycle stages, decisions, evidence, ownership, and remediation.
Decision Evidence Record v0.1
A machine-readable reference schema for explainable software change decisions.
Governance capability comparison
How governance relates to policy as code, DevSecOps, CODEOWNERS, ITSM, and GRC.
The ZeroUI reference model
A transparent conceptual flow from known intent through production learning and improved policy.
Private evaluation
Every production failure can help make the next software change safer.
Review how ZeroUI could translate your organization’s intent into lifecycle controls—and how production learning can improve governance while humans remain in control.
FAQ
Questions enterprise teams ask.
What is ZeroUI Policy Studio?
Policy Studio is the authoritative system where approved organizational intent is designed, governed, and transformed into executable controls for software change.
Does production automatically change policy?
No. Production can generate evidence and proposed intent, but it cannot silently rewrite organizational policy. Impact analysis, simulation, human review, and approval come first.
Where can ZeroUI govern a change?
ZeroUI is designed to carry relevant controls across the lifecycle—from the IDE and local version control through repositories, pull requests, CI/CD, deployment, and production/runtime.
Is ZeroUI only for new, AI-native systems?
No. The product direction explicitly includes legacy systems, where hidden dependencies and accumulated operational knowledge make safe change especially important.
Is ZeroUI generally available?
ZeroUI is being developed for private evaluation and controlled validation. A private demo is the right place to review current scope, integration fit, and validated capabilities.