Unknown use
AI tools are used without a central view of purpose, data, provider, or owner.
AI governance · EU AI Act
AI governance that controls risk and enables delivery.
Practical AI governance covering roles, risk inventory, the EU AI Act, privacy, documentation, and human oversight.
01
For companies that want faster and more accountable AI adoption.
AI governance defines roles, decision rights, controls, and evidence for responsible AI. It connects use-case inventory, risk classification, privacy, information security, model assessment, and ongoing monitoring.
For management, IT, privacy, and security teams that need an inventory, risk logic, clear roles, approvals, and technical evidence for AI systems.
02
Where governance removes operational friction
Slow approvals
Every use case restarts the same debate between business, IT, legal, and privacy teams.
Missing evidence
Decisions, evaluations, model versions, and human oversight are not documented consistently.
03
Governance that enables delivery
Faster risk assessment
Reusable criteria and risk classes provide a clear review route.
Explicit accountability
Roles show who approves, operates, and responds to incidents.
Traceable operations
Inventory, records, versions, and monitoring create credible evidence.
Proportionate controls
Low-risk tools follow lean reviews while critical systems receive stronger checks.
Scope
A practical governance operating model
Specific enough for a sound decision and bounded enough for dependable delivery.
AI inventory & risk logic
Use cases, vendors, models, data, owners, and explainable risk classes.
Roles & controls
Decision rights, human oversight, approvals, documentation, and incident processes.
Technical evidence
Evaluations, audit logs, versions, data flows, vendor assessment, and monitoring.
05
Governance as a risk-based workflow
- 01
Inventory
Record use cases, models, data, vendors, users, and accountable owners.
- 02
Classify
Assess risk, organisational role, transparency, oversight, and documentation needs.
- 03
Embed controls
Define approvals, evaluations, access, human oversight, and incident processes.
- 04
Maintain evidence
Track changes, model versions, and operational results continuously.
06
Technology, privacy, and organisation together
CodeXaureus supports technical and organisational implementation but does not replace individual legal advice. Regulatory interpretation is aligned with the client’s legal, privacy, and security specialists.
Common questions
Questions to answer before making a decision.
What is AI governance?+
AI governance is the system of roles, rules, controls, and evidence used to select, build, approve, and monitor AI. It makes responsibility and operational risk manageable.
Why do companies need AI governance?+
To prevent uncoordinated, insecure, or ownerless AI use. Good governance protects data and affected people, accelerates approvals, and gives procurement, engineering, and operations a shared foundation.
What does the EU AI Act require?+
Obligations depend on the organisation’s role and the system’s risk class. Companies need to assess inventory, purpose, risk, transparency, oversight, and documentation. Specific legal interpretation requires qualified counsel.
How can governance remain practical?+
Use risk-based workflows: low-risk tools receive lightweight review while critical systems receive stronger controls. Reusable checklists, roles, and technical standards prevent a bespoke process for every project.
Frame governance
Which AI systems must your organisation govern today?
We structure inventory, roles, controls, and technical evidence with your specialist teams.