Built for regulated industries
Purpose-built governance for healthcare and regulated enterprise environments where AI accountability is non-negotiable.
Healthcare
EHR-First AI Governance
Healthcare organizations are deploying AI into clinical workflows faster than governance can adapt. aureumhealth provides the control plane that CNIOs, CMIOs, and compliance leaders need to ensure AI is safe, explainable, and audit-ready.
Key Outcomes
- Deploy EHR AI modules with governance confidence
- Prove PHI controls to auditors and regulators
- Give clinicians appropriate AI explanations
- Detect performance drift before patient impact
PHI-Aware Governance
Classify AI assets by PHI tier (0–3) with automatic policy enforcement based on data sensitivity levels.
EHR Integration
Govern AI deployed within your EHR system, including native modules, vendor integrations, and custom clinical decision support.
Clinical Explainability
Provide clinician-appropriate explanations for AI recommendations with L1/L2/L3 transparency levels.
Patient Safety Monitoring
Monitor AI performance drift with thresholds tied to patient safety outcomes and automatic alerting.
Audit-Ready Evidence
Generate compliance documentation for Joint Commission, CMS, and state regulators on demand.
Cost Transparency
Track AI costs across departments, service lines, and clinical applications with showback reporting.
Regulated Enterprise
Model Risk & Compliance
Financial services, insurance, and other regulated industries face increasing pressure to govern AI with the same rigor as traditional model risk management. aureumhealth extends SR 11-7 principles to the full AI lifecycle.
Key Outcomes
- Satisfy model risk requirements for AI
- Enforce explainability policies by AI type
- Demonstrate controls to regulators
- Control AI costs with enterprise governance
Model Risk Management
Implement SR 11-7 compliant model governance with validation workflows and performance monitoring.
Regulatory Compliance
Support compliance with GDPR, EU AI Act, and industry-specific regulations with built-in controls.
Explainability Policy
Define and enforce explainability requirements by AI type, use case, and stakeholder audience.
Performance Governance
Tie model performance to governance decisions with automatic review triggers and escalation.
Separation of Duties
Enforce role-based approval workflows with mandatory sign-offs and audit trails.
Enterprise Cost Controls
Implement chargeback for AI usage with budget alerts, limits, and executive reporting.