PRODUCT
AegisIQ AI Governance Workbench
A governance accelerator for AI inventory, risk classification, approval workflows, control evidence, and compliance readiness.
The problem it solves
Why this exists
AI governance that lives in policy documents produces no evidence — and evidence is what boards, auditors, and regulators ask for.
How it works
What it actually is
A practical workbench of registers, workflows, and evidence models aligned to ISO 42001 and regulatory expectations.
AI governance control-plane
An AI governance architecture.
How AI use-cases get registered, risk-classified, governed, and evidenced — aligned to the EU AI Act and ISO 42001.
Intake & register
Every AI use-case enters through a gate and lands in a living system register with a named owner.
Classify & map
Each system is risk-classified and mapped to EU AI Act and ISO 42001 obligations.
Govern & approve
Review and approval gates apply proportionate controls, with a human sign-off and conditions of use.
Evidence the controls
Controls are bound to policy and produce inspectable evidence — not just documents.
Monitor & report
Behaviour, incidents, and re-assessments feed a board-grade oversight dashboard.
Example output
Reference architecture.
Intake & registration
Classification
Governance workflow
Evidence & controls
Monitoring & oversight
Control plane
Illustrative reference architecture · representative stack, adapted per engagement · no client data shown.
Modules
What is inside.
- AI system register
- Risk classification
- Use-case intake
- Governance workflow
- Evidence model
- ISO 42001 readiness
- Regulatory alignment
What you receive
- Populated AI system register
- Risk classification model
- Approval and intake workflows
- Evidence and reporting pack
Assess AI Governance Readiness.
We will walk through the architecture and how it maps onto your environment.