AI inventory
Know where AI is used, by whom and for what purpose.
Responsible AI in practicePut control around AI
Put control around AI
before complexity grows.
Create clear ownership, risk decisions, oversight and lifecycle controls around AI use. ISO 42001 provides a management-system route where greater formalisation adds value.
Start with clarity, not an unnecessarily large programme.
Explore AI Governance Assessment →Choose your route
Start with the AI Governance question that exists today.
A defined starting point keeps the work proportionate and gives management a clear decision before implementation expands.
AI Governance Assessment
Map AI use, ownership, risk and control gaps.
Explore Assessment →ISO 42001
Use a management system to structure AI governance and continual improvement.
Explore ISO 42001 →ISO 42001 Implementation
Build the AIMS, governance processes and evidence needed for a working system.
Explore Implementation →ISO 42001 Internal Audit
Independently test whether the AIMS is implemented and effective.
Explore Internal Audit →What good looks like
AI governance should keep decisions visible as use expands.
Useful governance shows where AI is used, who can approve it, which risks need escalation and what evidence proves the lifecycle is controlled.
Clear accountability
Assign decision rights across business, risk, legal, security and technology.
Risk-based oversight
Apply stronger controls where AI use creates greater impact or exposure.
Lifecycle evidence
Make approvals, monitoring, incidents and changes demonstrable.
Governancy approach
From AI inventory to accountable decisions.
Map use first, then define decision rights, risk criteria and lifecycle controls. Add ISO 42001 structure where formalisation creates real value.
Map AI use
Establish systems, use cases, owners and critical dependencies.
Define governance
Set roles, decision rights, risk criteria and escalation.
Build controls
Introduce proportionate approval, monitoring, documentation and review.
Formalise where useful
Use ISO 42001 when a management-system structure improves consistency or assurance.
BEFORE YOU DECIDE
Make AI decisions governable before adding bureaucracy
AI governance starts with knowing what is used, who owns it, and which risks or legal questions arise. ISO 42001 may provide useful management-system structure, but the first step need not be a certification project.
AI visibility
Establish an initial register of uses, systems, suppliers, purposes and business owners. Include externally purchased AI and locally adopted tools rather than relying on a central IT list alone.
Responsibilities and controls
Agree who accepts risks, approves use cases, monitors changes and decides when additional impact, privacy, security or legal review is needed.
A sustainable operating model
Connect intake, assessment, approval, monitoring, incidents and evidence to everyday processes. Use a stronger management-system structure when the organisation has the scale or assurance requirements to justify it.
Questions to settle before commissioning
Does ISO 42001 certification prove compliance with the EU AI Act?
No. An AI management system can support governance and evidence, but roles, use-case classification and applicable legal obligations need independent evaluation.
Can we start with an AI governance assessment rather than implementation?
Yes. A defined baseline helps management decide where controls are missing before investing in a full management-system programme.
A practical first step
Start with the AI decision that needs an owner.
Tell us what AI use is creating uncertainty. We will help determine whether you need a baseline assessment, governance design or ISO 42001 assurance.
Discuss your AI governance