Services
Put accountable governance around AI use.
Help your organisation understand how AI is used, who is responsible and what oversight and evidence are needed. We support practical governance that connects business use, risk management and technical teams.
What we help you do.
- Establish an AI use-case inventory.
- Define roles and approval processes.
- Review risk, supplier and data considerations.
- Plan human oversight and monitoring.
- Organise governance documentation and improvement actions.
Typical outputs.
AI inventory, governance responsibilities, review criteria and an assurance roadmap.
Typical outputs describe potential engagement deliverables. Actual deliverables depend on the scope agreed for each engagement.
What to discuss when scoping the work
- Which AI systems or use cases are being considered?
- Who decides how they are used and oversees their operation?
- Which suppliers, data sources and affected people are involved?
Illustrative engagement
Different teams use AI tools without a shared inventory or approval process. Governance work can establish a use-case register, decision owners and proportionate review criteria without assuming every use case has the same legal classification.
How the engagement can proceed
- Map AI use and clarify the organisation’s role.
- Review risks, responsibilities and oversight arrangements.
- Define approval, monitoring and documentation practices.
We do not classify every AI use case as high risk under the law, and this service does not certify AI systems.