Advisory
AI Governance
Practical governance, risk management and oversight for the responsible use of AI, from early use cases through to regulated environments
Advisory
AI Governance
Practical governance, risk management and oversight for the responsible use of AI, from early use cases through to regulated environments
Advisory
AI Governance
Practical governance, risk management and oversight for the responsible use of AI, from early use cases through to regulated environments
Bring clarity and control to how AI is used in your organisation
Many organisations use AI long before clear responsibilities, controls or risk assessments are in place. We help you establish governance structures that make AI usable, defensible and auditable, without slowing innovation.
Bring clarity and control to how AI is used in your organisation
Many organisations use AI long before clear responsibilities, controls or risk assessments are in place. We help you establish governance structures that make AI usable, defensible and auditable, without slowing innovation.
Bring clarity and control to how AI is used in your organisation
Many organisations use AI long before clear responsibilities, controls or risk assessments are in place. We help you establish governance structures that make AI usable, defensible and auditable, without slowing innovation.
How we support you
Depending on your starting point, we support organisations in four clearly defined roles: from initial design to independent assurance and future-oriented development.
How we support you
Depending on your starting point, we support organisations in four clearly defined roles: from initial design to independent assurance and future-oriented development.
How we support you
Depending on your starting point, we support organisations in four clearly defined roles: from initial design to independent assurance and future-oriented development.
Depending on your starting point, we support organisations across clearly defined roles, from initial structuring to independent assurance and ongoing evolution. Our focus is on translating AI governance requirements into practical processes, clear accountability and effective oversight. This enables responsible AI use without slowing innovation.
01 Design
Establishing clear structures and accountability
AI governance framework and policy design, including AI Management Systems (AIMS) aligned with ISO/IEC 42001
Definition of roles, responsibilities and decision rights
AI system classification and risk categories
Integration into existing management systems (e.g. ISMS, QMS)
Design of documentation and evidence structures
01 Design
Establishing clear structures and accountability
AI governance framework and policy design, including AI Management Systems (AIMS) aligned with ISO/IEC 42001
Definition of roles, responsibilities and decision rights
AI system classification and risk categories
Integration into existing management systems (e.g. ISMS, QMS)
Design of documentation and evidence structures
01 Design
Establishing clear structures and accountability
AI governance framework and policy design, including AI Management Systems (AIMS) aligned with ISO/IEC 42001
Definition of roles, responsibilities and decision rights
AI system classification and risk categories
Integration into existing management systems (e.g. ISMS, QMS)
Design of documentation and evidence structures
02 Operate
Making AI governance work in daily practice
AI risk and system impact assessments
Operational processes for AI lifecycle management
Controls for data quality, model changes and human oversight
Incident and issue handling for AI-related risks
Enablement of key roles (management, product owners, compliance)
02 Operate
Making AI governance work in daily practice
AI risk and system impact assessments
Operational processes for AI lifecycle management
Controls for data quality, model changes and human oversight
Incident and issue handling for AI-related risks
Enablement of key roles (management, product owners, compliance)
02 Operate
Making AI governance work in daily practice
AI risk and system impact assessments
Operational processes for AI lifecycle management
Controls for data quality, model changes and human oversight
Incident and issue handling for AI-related risks
Enablement of key roles (management, product owners, compliance)
03 Assure
Providing confidence and audit readiness
Independent reviews of AI governance and AIMS structures
Control effectiveness and implementation checks
Outsourced internal audit based on ISO/IEC 42001
Certification readiness assessments
Supplier and third-party AI reviews
Preparation for internal and external audits
03 Assure
Providing confidence and audit readiness
Independent reviews of AI governance and AIMS structures
Control effectiveness and implementation checks
Outsourced internal audit based on ISO/IEC 42001
Certification readiness assessments
Supplier and third-party AI reviews
Preparation for internal and external audits
03 Assure
Providing confidence and audit readiness
Independent reviews of AI governance and AIMS structures
Control effectiveness and implementation checks
Outsourced internal audit based on ISO/IEC 42001
Certification readiness assessments
Supplier and third-party AI reviews
Preparation for internal and external audits
04 Evolve
Keeping governance effective as technology and regulation change
Monitoring regulatory and technological developments
Scenario analysis for future AI use cases
Maturity assessments and improvement roadmaps for AIMS
Executive sparring on strategic AI decisions
Integration of new requirements into existing systems
04 Evolve
Keeping governance effective as technology and regulation change
Monitoring regulatory and technological developments
Scenario analysis for future AI use cases
Maturity assessments and improvement roadmaps for AIMS
Executive sparring on strategic AI decisions
Integration of new requirements into existing systems
04 Evolve
Keeping governance effective as technology and regulation change
Monitoring regulatory and technological developments
Scenario analysis for future AI use cases
Maturity assessments and improvement roadmaps for AIMS
Executive sparring on strategic AI decisions
Integration of new requirements into existing systems
Typical situations and challenges
Organisations typically contact us when one or more of the following situations arise.
Typical situations and challenges
Organisations typically contact us when one or more of the following situations arise.
Typical situations and challenges
Organisations typically contact us when one or more of the following situations arise.
AI tools are already in use, but roles and responsibilities are unclear
Management asks whether current AI usage is compliant and defensible
Concerns about legal, ethical or reputational risks of AI systems
Preparation for new regulations
Lack of transparency over data sources, models or decision logic
Pressure from customers, auditors or regulators
AI tools are already in use, but roles and responsibilities are unclear
Management asks whether current AI usage is compliant and defensible
Concerns about legal, ethical or reputational risks of AI systems
Preparation for new regulations
Lack of transparency over data sources, models or decision logic
Pressure from customers, auditors or regulators
Typical starting points for engagement
Engagements often start with a focused assessment or review, such as the following.
Typical starting points for engagement
Engagements often start with a focused assessment or review, such as the following.
Typical starting points for engagement
Engagements often start with a focused assessment or review, such as the following.
AI risk assessment
AI system impact impact assessment
ISO/IEC 42001 readiness assessment
AI supplier & third-party review
AI policy & documentation review
AI risk assessment
AI system impact impact assessment
ISO/IEC 42001 readiness assessment
AI supplier & third-party review
AI policy & documentation review
Discuss your challenge
A short conversation to understand your current situation and discuss possible next steps.
Discuss your challenge
A short conversation to understand your current situation and discuss possible next steps.
Discuss your challenge
A short conversation to understand your current situation and discuss possible next steps.
Why Halderstone
Why Halderstone
Why Halderstone
Our approach
We focus on governance that works in practice, not paper frameworks
Strong experience with management systems and audits
Clear separation between design, operation and assurance
Independent, technology-agnostic perspective
Suitable for both early-stage AI adoption and regulated environments
We focus on governance that works in practice, not paper frameworks
Strong experience with management systems and audits
Clear separation between design, operation and assurance
Independent, technology-agnostic perspective
Suitable for both early-stage AI adoption and regulated environments
What we deliberately do not do
We do not build or operate AI models ourselves.
We do not offer generic, template-driven compliance solutions.
We do not build or operate AI models ourselves.
We do not offer generic, template-driven compliance solutions.
Our services
Related advisory services
These services are often closely connected in practice and build on similar governance principles.
Our services
Related advisory services
These services are often closely connected in practice and build on similar governance principles.
Our services
Related advisory services
These services are often closely connected in practice and build on similar governance principles.
Halderstone Academy
Related training modules
Halderstone Academy
Related training modules
Halderstone Academy
Related training modules
Halderstone Academy offers focused training modules on related topics.
AI Fundamentals I
Learn core AI concepts, AI system types, and the technical building blocks that underpin modern AI-enabled products and services
7 h
AI Fundamentals I
Learn core AI concepts, AI system types, and the technical building blocks that underpin modern AI-enabled products and services
7 h
AI Fundamentals I
Learn core AI concepts, AI system types, and the technical building blocks that underpin modern AI-enabled products and services
7 h
AI Fundamentals II
Understand AI uncertainty, limitations, and common failure modes across predictive and generative AI systems
7 h
AI Fundamentals II
Understand AI uncertainty, limitations, and common failure modes across predictive and generative AI systems
7 h
AI Fundamentals II
Understand AI uncertainty, limitations, and common failure modes across predictive and generative AI systems
7 h
AI System Scope, Lifecycle & Inventory
Define AI system scope, lifecycle boundaries, and a maintained AI system inventory aligned to ISO/IEC 42001
7 h
AI System Scope, Lifecycle & Inventory
Define AI system scope, lifecycle boundaries, and a maintained AI system inventory aligned to ISO/IEC 42001
7 h
AI System Scope, Lifecycle & Inventory
Define AI system scope, lifecycle boundaries, and a maintained AI system inventory aligned to ISO/IEC 42001
7 h
AI Risk, Impact & Harm Assessment
Understand how to assess AI impacts and harms, document results, and connect them to risk decisions in an AI management system
7 h
AI Risk, Impact & Harm Assessment
Understand how to assess AI impacts and harms, document results, and connect them to risk decisions in an AI management system
7 h
AI Risk, Impact & Harm Assessment
Understand how to assess AI impacts and harms, document results, and connect them to risk decisions in an AI management system
7 h
Operational Control of AI Systems
Understand how to define, implement, and maintain operational controls for AI systems across deployment, change, and monitoring
7 h
Operational Control of AI Systems
Understand how to define, implement, and maintain operational controls for AI systems across deployment, change, and monitoring
7 h
Operational Control of AI Systems
Understand how to define, implement, and maintain operational controls for AI systems across deployment, change, and monitoring
7 h
Auditing AI Risk & Impact Management
Understand how to audit harm, impact, and risk reasoning, intended use alignment, and decision documentation in an ISO/IEC 42001 AI management system
3 h
Auditing AI Risk & Impact Management
Understand how to audit harm, impact, and risk reasoning, intended use alignment, and decision documentation in an ISO/IEC 42001 AI management system
3 h
Auditing AI Risk & Impact Management
Understand how to audit harm, impact, and risk reasoning, intended use alignment, and decision documentation in an ISO/IEC 42001 AI management system
3 h
Auditing AI Lifecycle & Data Governance Controls
Assess evidence and control effectiveness across data sourcing, training, validation, deployment, monitoring, and lifecycle change
3.5 h
Auditing AI Lifecycle & Data Governance Controls
Assess evidence and control effectiveness across data sourcing, training, validation, deployment, monitoring, and lifecycle change
3.5 h
Auditing AI Lifecycle & Data Governance Controls
Assess evidence and control effectiveness across data sourcing, training, validation, deployment, monitoring, and lifecycle change
3.5 h
Ready to improve your management systems?
We support continuous improvement by embedding ISO requirements into everyday practice and daily operations.
Ready to improve your management systems?
We support continuous improvement by embedding ISO requirements into everyday practice and daily operations.
Ready to improve your management systems?
We support continuous improvement by embedding ISO requirements into everyday practice and daily operations.