Govern Every Enterprise AI
Model and Agent
Hertz Matrix provides a comprehensive enterprise AI governance platform - from inventory and risk classification to policy enforcement, audit evidence, and executive reporting.
Complete Enterprise AI Governance
Every capability you need to govern enterprise AI at scale.
AI Inventory
Centralized registry of all enterprise AI models, agents, and use cases.
Risk Classification
Classify AI systems by risk level, impact, and accountability requirements.
Policy Governance
Define and enforce AI governance policies across the enterprise.
Audit Evidence
Maintain comprehensive audit trails and evidence for compliance.
Executive Reporting
Real-time dashboards and reports for executive oversight.
Compliance Mapping
Map AI systems to regulatory and compliance requirements.
Complete Visibility of AI Assets
Maintain a comprehensive inventory of all AI models, agents, and use cases across your enterprise.
Model Registry
- Model metadata
- Version tracking
- Owner assignment
- Deployment status
Agent Registry
- Agent capabilities
- Interaction logging
- Performance metrics
- Approval status
Use Case Library
- Use case catalog
- Business impact
- Risk assessment
- Compliance mapping
Classify and Manage AI Risk
Systematic risk classification for all enterprise AI systems based on impact and accountability.
Critical Risk
High-impact decisions, safety-critical systems
High Risk
Significant business impact, regulated use cases
Medium Risk
Moderate impact, internal decision support
Low Risk
Minimal impact, operational automation
Define and Enforce AI Policies
Create, manage, and enforce AI governance policies across your enterprise.
Policy Library
- Acceptable use policies
- Data privacy policies
- Model governance policies
- Ethical AI guidelines
Control Framework
- Approval workflows
- Human review gates
- Control requirements
- Policy enforcement
Continuous Monitoring
- Policy compliance
- Risk monitoring
- Exception handling
- Remediation tracking
Comprehensive Audit Readiness
Maintain complete audit trails and evidence for compliance and oversight.
Decision Records
Complete records of all AI governance decisions
Evidence Repository
Centralized storage for all audit evidence
Audit Trail
Complete audit trail of all system interactions
Compliance Certification
Automated compliance certification and reporting
Real-Time Executive Oversight
Dashboards and reports designed for executive visibility and decision support.
Executive Dashboard
- Overall governance status
- Risk summary
- Compliance metrics
- Key performance indicators
Risk Reports
- Risk distribution
- Trend analysis
- Control effectiveness
- Incident tracking
Compliance Reports
- Regulatory compliance
- Policy adherence
- Audit readiness
- Remediation progress
Map AI to Regulations
Map enterprise AI systems to regulatory and compliance requirements.
EU AI Act
- Risk-based classification
- Obligation mapping
- Compliance controls
- Reporting requirements
Data Privacy
- GDPR compliance
- Data processing controls
- Privacy impact assessment
- Data protection requirements
Industry Standards
- ISO 42001
- NIST AI RMF
- IEEE standards
- Industry frameworks
Continuous Oversight
Monitor and oversee AI models and agents throughout their lifecycle.
Performance Monitoring
Continuous performance monitoring and alerts
Human Oversight
Human review gates and oversight controls
Lifecycle Management
Model and agent lifecycle governance
Automated Workflows
Automated oversight and governance workflows
Your Path to AI Governance
A structured implementation approach for enterprise AI governance.
Discovery and Assessment
- Current state analysis
- AI inventory assessment
- Risk baseline
- Stakeholder identification
Framework Design
- Governance framework design
- Policy development
- Control definition
- Process mapping
Deployment and Integration
- Platform deployment
- System integration
- Data migration
- User onboarding
Operations and Optimization
- Continuous monitoring
- Performance optimization
- Governance refinement
- Scaled rollout
Proven Path to Enterprise AI
A structured pilot approach for enterprise AI governance implementation.
Discovery and Planning
- Needs assessment
- Stakeholder engagement
- Use case selection
- Success criteria
Prototype Deployment
- Platform configuration
- Limited deployment
- Integration testing
- Feedback collection
Evaluation and Refinement
- Performance assessment
- Framework refinement
- User training
- Process optimization
Enterprise Rollout
- Full deployment
- Organization-wide training
- Governance scaling
- Continuous improvement
Request an Enterprise Assessment
Complete the form to request an enterprise AI governance assessment. A specialist will respond to discuss your requirements.