Use Cases

Industry Applications

From manufacturing to finance, municipality to education — see how MARIA OS adapts decision governance to every industry's unique judgment requirements.

Use Case 1/12

Finance

CreditInvestmentAML/KYCModel RiskCX AutomationCompliance
L0 CoreL1 StrategyL2 Metrics
Irreversible Loss0.90
Compliance0.90
Customer Asset0.90
Auditability0.85
Fraud Resist0.85
Privacy0.85
Speed
Cost Efficiency
Risk-Adj Return
CX Trust
Explainability
HITL Control
M
AML FPR
M
AML FNR
M
Approval Latency
M
Loss Rate
M
Override Rate
Conflict

Speed vs Audit

Conflict

Return vs Explain

Conflict

CX vs Fraud

Conflict

HITL vs Speed

Financial decisions are determined by whether audit and responsibility hold, not by correctness.

Value Scan implements this as the highest-level constraint.

Use Case 2/12

Audit

Internal AuditExternal AuditSOXEvidenceProcess MonitorFraud Detection
L0 CoreL1 StrategyL2 Metrics
Auditability0.92
Evidence Integrity0.90
Compliance0.88
Independence0.85
Confidentiality0.85
Access Control0.82
Coverage
Anomaly Detect
Transparency
Remediation
Audit Speed
Continuous Mon
M
Trace Coverage
M
Evidence Link
M
Control Failure
M
Anomaly FPR
M
Time to Report
Conflict

Speed vs Coverage

Conflict

Monitor vs Privacy

Conflict

Detect vs Indep

Conflict

Fix vs Transparency

Audit value lies in evidence integrity before discovery.

Value Scan implements this as the highest-level constraint.

Use Case 3/12

Manufacturing

Quality ControlMaintenanceProcess OptSupply ChainFloor AISafety Mgmt
L0 CoreL1 StrategyL2 Metrics
Worker Safety0.92
Product Quality0.90
Safety Standard0.88
Lot Traceability0.85
OT Resilience0.85
OT Security0.82
Throughput/OEE
Yield
Downtime Reduce
Pred Maintenance
Lead Time
Floor Explain
M
OEE
M
Scrap Rate
M
Defect PPM
M
MTBF
M
Safety Incident
Conflict

Prod vs Safety

Conflict

Time vs Quality

Conflict

Uptime vs Security

Conflict

Explain vs Prod

Manufacturing decisions must be stoppable on the floor.

Value Scan implements this as the highest-level constraint.

Use Case 4/12

Auto-Dev

Code GenPR ReviewRefactorTest GenSecurity ScanRollback
L0 CoreL1 StrategyL2 Metrics
Reproducibility0.95
Rollbackable0.92
Auditability0.90
No Secrets Leak0.90
Idempotent0.88
Policy Pinned0.85
Code Quality
Test Coverage
Review Speed
Security Scan
Explainability
Staged Rollout
M
Approval Rate
M
Rollback Rate
M
MTTR
M
Regression Freq
M
Policy Drift
Conflict

Speed vs Audit

Conflict

Quality vs Deploy

Conflict

Security vs Speed

Conflict

Explain vs Quality

Auto-Dev is not 'AI writes code.' Auto-Dev is 'the database authorizes changes.'

Value Scan implements this as the highest-level constraint.

Use Case 5/12

CEO Decision OS

Vision AlignmentPhilosophy EncodingStrategy SimulationStakeholder TrustValue ConsistencyBoard Reporting
L0 CoreL1 StrategyL2 Metrics
Vision Alignment0.95
Mission Integrity0.92
Core Values0.90
Stakeholder Trust0.88
Accountability0.85
Sustainability0.85
Risk Tolerance
Social Impact
Profit Priority
Innovation Drive
Transparency
Long-term View
M
Vision Gap Score
M
Value Drift Rate
M
Decision Alignment
M
Stakeholder NPS
M
Philosophy Score
Conflict

Profit vs Social

Conflict

Risk vs Trust

Conflict

Innovation vs Values

Conflict

Long-term vs Short

Your vision becomes the operating system. Philosophy-driven decisions, encoded into every judgment.

Value Scan implements this as the highest-level constraint.

Use Case 6/12

Healthcare

Clinical DecisionDrug InteractionDiagnosis SupportTreatment PlanResource AllocationPatient Privacy
L0 CoreL1 StrategyL2 Metrics
Patient Safety0.98
Do No Harm0.96
Clinical Accuracy0.94
HIPAA Compliance0.92
Informed Consent0.90
Care Continuity0.88
Diagnosis Speed
Treatment Efficacy
Cost Efficiency
Patient Experience
Provider Workload
Evidence-Based
M
Misdiagnosis Rate
M
Adverse Events
M
Readmission Rate
M
Wait Time
M
Outcome Score
Conflict

Speed vs Accuracy

Conflict

Cost vs Safety

Conflict

Load vs Continuity

Conflict

Efficacy vs Consent

Patient safety is not negotiable. Every AI decision passes through the Hippocratic gate.

Value Scan implements this as the highest-level constraint.

Use Case 8/12

Retail & E-commerce

Pricing StrategyInventory MgmtPersonalizationFraud PreventionSupply ChainCustomer Support
L0 CoreL1 StrategyL2 Metrics
Customer Trust0.90
Fair Pricing0.88
Data Privacy0.90
Product Safety0.92
No Manipulation0.85
Transparency0.82
Conversion Rate
Customer LTV
Inventory Turn
Personalization
Delivery Speed
Return Rate
M
Cart Abandon
M
NPS Score
M
Margin
M
Stockout Rate
M
Fulfillment Cost
Conflict

Convert vs Ethics

Conflict

Personal vs Privacy

Conflict

Margin vs Fair

Conflict

Speed vs Inventory

Customer trust drives every recommendation. Personalization without manipulation.

Value Scan implements this as the highest-level constraint.

Use Case 9/12

Energy & Utilities

Grid ManagementDemand ForecastAsset MaintenanceRenewable IntegrationEmergency ResponseRate Optimization
L0 CoreL1 StrategyL2 Metrics
Grid Reliability0.99
Public Safety0.98
Regulatory Compliance0.95
Cyber Security0.94
Environmental0.88
Service Equity0.85
Efficiency
Sustainability
Cost Management
Demand Response
Asset Lifespan
Renewable %
M
Outage Duration
M
SAIDI
M
Carbon Intensity
M
Peak Demand
M
Maintenance Cost
Conflict

Efficiency vs Reliable

Conflict

Cost vs Green

Conflict

Renewable vs Secure

Conflict

Demand vs Equity

Grid reliability is non-negotiable. Sustainability meets operational resilience.

Value Scan implements this as the highest-level constraint.

Use Case 10/12

Insurance

UnderwritingClaims ProcessingFraud DetectionRisk ModelingPolicy PricingCustomer Retention
L0 CoreL1 StrategyL2 Metrics
Fair Assessment0.92
Regulatory Compliance0.94
No Discrimination0.95
Data Accuracy0.90
Claims Integrity0.88
Privacy0.88
Underwriting Speed
Claims Efficiency
Loss Ratio
Customer Satisfaction
Fraud Detection
Retention Rate
M
Combined Ratio
M
Claims Cycle Time
M
Fraud Rate
M
NPS
M
Expense Ratio
Conflict

Speed vs Fair

Conflict

Fraud vs Claims

Conflict

Loss vs Satisfy

Conflict

Efficient vs Fair

Fair assessment, transparent pricing. Risk decisions that policyholders can trust.

Value Scan implements this as the highest-level constraint.

Use Case 11/12

Education

Learning SupportCareer GuidanceCurriculum AdaptProgress TrackHuman GateAptitude Match
L0 CoreL1 StrategyL2 Metrics
Student Wellbeing0.95
Educational Equity0.92
Data Privacy0.90
Pedagogical Integrity0.88
Parental Consent0.88
Age Appropriate0.90
Learning Outcomes
Engagement
Personalization
Career Readiness
Skill Development
Teacher Support
M
Completion Rate
M
Skill Gap Score
M
Career Match Rate
M
Intervention Success
M
Path Flexibility
Conflict

Personal vs Equity

Conflict

Career vs Wellbeing

Conflict

Engage vs Pedagogy

Conflict

Outcomes vs Age

Students are not single recommendation vectors. Education decisions are managed as states within a neural decision network.

Value Scan implements this as the highest-level constraint.

Use Case 12/12

Municipality

Migration MatchJob PlacementSettlement SupportPolicy ImpactResource AllocationCommunity Integration
L0 CoreL1 StrategyL2 Metrics
Citizen Welfare0.95
Fairness0.92
Legal Compliance0.94
Privacy Protection0.90
Transparency0.88
Accountability0.88
Match Quality
Settlement Success
Economic Impact
Community Cohesion
Service Efficiency
Long-term Retention
M
Placement Rate
M
1-Year Retention
M
Satisfaction Score
M
Integration Index
M
Cost per Placement
Conflict

Quality vs Speed

Conflict

Economic vs Welfare

Conflict

Retention vs Fair

Conflict

Cohesion vs Transparent

Migration and employment are not one-way matching. They are decision networks with time and state that can be paused and reviewed.

Value Scan implements this as the highest-level constraint.