One governance layer for every model, agent and decision
Hertz Matrix brings executive assurance, risk governance and evidence into a single conceptual architecture — built for enterprises and governments deploying AI responsibly.
Governance for the Full AI Lifecycle
Hertz Matrix is a conceptual governance platform: one layer that gives organizations a consistent way to register, evaluate, approve and monitor AI systems — without dictating which models or infrastructure they run on.
Executive assurance
A single view of AI risk and readiness for leadership and boards.
Governed by design
Policy, risk and oversight built into the platform from day one.
Evidence, not opinion
Decisions, approvals and reviews captured as a durable record.
Deploy on your terms
Enterprise, government and sovereign deployment paths.
One Governance Layer Across the AI Stack
Executive Decision Layer
- Executive dashboards
- Decision intelligence
- Assurance reporting
- Board visibility
Governance and Trust Layer
- AI Trust Score™
- AI risk register
- Policies and controls
- Compliance mapping
Intelligence Orchestration Layer
- Model and agent inventory
- Approved-model routing
- Evaluation workflows
- Human-review controls
Sovereign Data and Security Foundation
- Identity and access
- Encryption
- Data residency
- Audit logs
Every Control Point, in One Command Centre
AI Trust Score™
A structured framework for assessing accuracy, fairness, security, compliance, evidence and oversight.
Executive Command Centre
A single executive view of governed AI systems, risks, decisions and readiness.
AI Risk Register
Central inventory of model, agent, operational, regulatory and data risks.
Governance Dashboard
Policies, controls, approvals, monitoring and human oversight.
Evidence Centre
Decision records, audit evidence, policy checks and approval history.
Policy Library
Reusable AI governance policies, standards, controls and review requirements.
Model and Agent Registry
A governed inventory of enterprise AI models, agents, owners and risk classes.
Government Edition
Sovereign deployment, national data controls and public-sector governance.
A Continuous Governance Lifecycle
Assess the AI environment
Register models, agents and use cases
Classify risk and accountability
Apply policies and controls
Evaluate trust and readiness
Record evidence and approvals
Support executive decisions
Continuously monitor and improve
How a Decision Moves Through Governance
Every registered AI system moves through the same four stages, so accountability is consistent regardless of team, region or risk level.
Propose
A model, agent or use case is registered with its owner, purpose and risk context.
Review
Risk classification and policy checks run against the registered use case.
Approve
Named approvers sign off, with human oversight required for higher-risk cases.
Monitor
Approved systems are watched on an ongoing basis, with issues routed back for review.
Governance You Can Prove
Rather than relying on point-in-time attestations, the platform is designed to keep a running record of governance activity that can be reviewed later.
Decision records
Who decided what, when, and on what basis.
Policy checks
Which policies applied and whether they were satisfied.
Approval history
A traceable chain of sign-offs for every governed system.
Audit-ready records
Evidence organized for internal audit and regulator review.
Security Principles, Not a Blueprint
These are the principles the security foundation is designed around. Implementation details are intentionally not published.
Identity and access
Role-based access so people only see and act on what they're authorized for.
Encryption
Data protected at rest and in transit.
Data residency
Configurable regional storage to meet local requirements.
Audit logging
Activity logs to support internal review and oversight.
Deploy on Your Own Terms
The platform is designed to be vendor-neutral and deployable in the environment that fits an organization's regulatory and operational needs.
Cloud
Managed deployment for fast onboarding and standard enterprise use.
Hybrid
A mix of cloud and on-premises components for organizations with mixed requirements.
On-premises
Fully self-hosted for organizations that require complete infrastructure control.
Sovereign / in-country
In-country deployment designed to meet national data-residency and oversight requirements.
An Honest Product Roadmap
Completed
- Enterprise strategy
- Digital platform blueprint
- Engineering handbook
- Reference architecture
- Legal and IP framework
Current phase
- UX design
- Technical specification
- Clickable prototype
- MVP scoping
- Pilot engagement
Next phase
- MVP development
- Security validation
- Pilot deployment
- Customer feedback
Future
- Enterprise release
- Government edition
- Integration ecosystem
- International scale
Product status
Hertz Matrix is currently in active development and is not yet operational. Everything on this page — including module names, dashboards, screens and figures — describes a conceptual platform architecture and is provided for illustrative purposes only. It does not represent a live product, a committed feature set, or a guarantee of future functionality. Detailed technical design remains confidential and is shared only under appropriate agreements.