Training Module
Operational Control of AI Systems
Understand how to define, implement, and maintain operational controls for AI systems across deployment, change, and monitoring
Training Module
Operational Control of AI Systems
Understand how to define, implement, and maintain operational controls for AI systems across deployment, change, and monitoring
Training Module
Operational Control of AI Systems
Understand how to define, implement, and maintain operational controls for AI systems across deployment, change, and monitoring
Do your AI controls work in practice?
Controls only matter if they are embedded in daily operations and remain effective as systems evolve. This module shows how to define proportionate control sets, integrate them across the lifecycle, and demonstrate that they work in practice.
Do your AI controls work in practice?
Controls only matter if they are embedded in daily operations and remain effective as systems evolve. This module shows how to define proportionate control sets, integrate them across the lifecycle, and demonstrate that they work in practice.
Do your AI controls work in practice?
Controls only matter if they are embedded in daily operations and remain effective as systems evolve. This module shows how to define proportionate control sets, integrate them across the lifecycle, and demonstrate that they work in practice.
Training module overview
Training module overview
Training module overview
Selecting controls for AI systems is only the starting point. The real challenge is embedding them into daily build, deployment, monitoring, and change practices so they remain effective as systems evolve.
This module provides a structured approach to translating ISO/IEC 42001 operational control expectations into lifecycle control points. Participants learn how to design proportionate control sets based on system impact and risk, define clear roles and escalation paths, and establish release and change routines that preserve control integrity. The focus is on demonstrable effectiveness: identifying the minimum evidence required and preventing “paper controls” that exist in documentation but not in practice.
Selecting controls for AI systems is only the starting point. The real challenge is embedding them into daily build, deployment, monitoring, and change practices so they remain effective as systems evolve.
This module provides a structured approach to translating ISO/IEC 42001 operational control expectations into lifecycle control points. Participants learn how to design proportionate control sets based on system impact and risk, define clear roles and escalation paths, and establish release and change routines that preserve control integrity. The focus is on demonstrable effectiveness: identifying the minimum evidence required and preventing “paper controls” that exist in documentation but not in practice.
Applicable environments
This module applies to organisations implementing or operating a AI Management System (AIMS) in line with ISO/IEC 42001. It focuses on how the standard’s requirements are interpreted and applied in practice within real organisational contexts.
The content is relevant for organisations seeking certification as well as for those using ISO/IEC 42001 as a reference framework to structure responsibilities, processes, and controls in the AI management domain.
Target audience
Target audience
Target audience
People involved in designing, building, operating, or improving an AIMS aligned with ISO/IEC 42001
Executives and department heads accountable for the effectiveness and performance of an AIMS
Those responsible for processes, policies, applications, risks or risk controls related to AI
Auditors of ISO/IEC 42001 who want to deepen their understanding of management-side best practices (not audit technique)
People involved in designing, building, operating, or improving an AIMS aligned with ISO/IEC 42001
Executives and department heads accountable for the effectiveness and performance of an AIMS
Those responsible for processes, policies, applications, risks or risk controls related to AI
Auditors of ISO/IEC 42001 who want to deepen their understanding of management-side best practices (not audit technique)
Decision support
Is this module for you?
It is a good fit if you…
want a clear mental model of operational control for AI systems.
need to understand how AI governance decisions translate into daily practice.
oversee AI deployment, change, or monitoring without owning the tooling.
need to judge whether operational controls are credible and complete.
want ISO/IEC 42001 requirements to make sense in real operations.
want a clear mental model of operational control for AI systems.
need to understand how AI governance decisions translate into daily practice.
oversee AI deployment, change, or monitoring without owning the tooling.
need to judge whether operational controls are credible and complete.
want ISO/IEC 42001 requirements to make sense in real operations.
If most of the points above apply, this module is likely a good fit.
It may not be the best fit if you…
want tool-specific procedures or technical implementation guidance.
expect hands-on MLOps or engineering training.
are looking for risk or impact assessment methods.
already operate mature, well-documented AI operational controls.
want tool-specific procedures or technical implementation guidance.
expect hands-on MLOps or engineering training.
are looking for risk or impact assessment methods.
already operate mature, well-documented AI operational controls.
Agenda
Agenda
Agenda
Operational control in an ISO/IEC 42001 AI management system
Defining operational control requirements per AI system and use context
Lifecycle control points: build, deploy, use, and monitor
Change and release discipline for AI systems
Operational roles, responsibilities, and competence in AI control
Documented information and evidence for operational control
Case-based workshop
Show detailed agenda...
Operational control in an ISO/IEC 42001 AI management system
Defining operational control requirements per AI system and use context
Lifecycle control points: build, deploy, use, and monitor
Change and release discipline for AI systems
Operational roles, responsibilities, and competence in AI control
Documented information and evidence for operational control
Case-based workshop
Show detailed agenda...
Operational control in an ISO/IEC 42001 AI management system
Defining operational control requirements per AI system and use context
Lifecycle control points: build, deploy, use, and monitor
Change and release discipline for AI systems
Operational roles, responsibilities, and competence in AI control
Documented information and evidence for operational control
Case-based workshop
Show detailed agenda...
Learning outcomes
Learning outcomes
Learning outcomes
Key outcomes
Translate ISO/IEC 42001 operational control expectations into lifecycle control points for AI systems
Define control sets that are proportionate to the AI system’s impact and risk and integrate them into build, deployment and use
Establish change and release practices that ensure controls remain effective as systems evolve
Translate ISO/IEC 42001 operational control expectations into lifecycle control points for AI systems
Define control sets that are proportionate to the AI system’s impact and risk and integrate them into build, deployment and use
Establish change and release practices that ensure controls remain effective as systems evolve
Additional capabilities
Specify roles, responsibilities and escalation paths for AI operational control
Identify the minimum evidence needed to demonstrate that controls are working
Recognise paper controls and design corrective actions to embed controls into daily routines
Specify roles, responsibilities and escalation paths for AI operational control
Identify the minimum evidence needed to demonstrate that controls are working
Recognise paper controls and design corrective actions to embed controls into daily routines
Additional benefits
Additional benefits
Additional benefits
Learning materials
Slide deck
Participant workbook
Templates & tools
Practical, reusable artefacts to apply the module directly to your organisation.
AI operational control pack template
Lifecycle control points map
AI change & release checklist template
Re-approval trigger log template
Operational monitoring review log template
Exception & escalation record template
Supporting AI prompt set
AI operational control pack template
Lifecycle control points map
AI change & release checklist template
Re-approval trigger log template
Operational monitoring review log template
Exception & escalation record template
Supporting AI prompt set
Confirmation
Certificate of completion
Module ID
HAM-AI-S-03
Domain
Audience
Auditor
Manager
Language
English
Delivery
Live virtual
Duration
7 h
List price
CHF 550
Excl. VAT. VAT may apply depending on customer location and status.
Delivery & learning format
Delivery & learning format
Delivery & learning format
Virtual live teaching
This module is delivered live, with a strong focus on discussion, practical application, and direct interaction with the instructor.
Sessions work through realistic examples, clarify concepts in context, and apply methods directly to participants’ organisational realities.
Custom delivery options
For organisations with specific constraints or learning objectives, the module can be adapted in format or scope, including in-house delivery and contextualised case material.
Not sure if this module is right for you?
Not sure if this module is right for you?
Not sure if this module is right for you?
For an optimal learning experience
Preparation guidance
This module is designed as part of a modular training approach. Topics are deliberately distributed across modules and are not repeated in full, in order to avoid unnecessary redundancy. Each module is self-contained and can be taken on its own. Where prior knowledge or experience is helpful, this is indicated below so you can decide whether any preparation is useful for you.
For an optimal learning experience
Preparation guidance
This module is designed as part of a modular training approach. Topics are deliberately distributed across modules and are not repeated in full, in order to avoid unnecessary redundancy. Each module is self-contained and can be taken on its own. Where prior knowledge or experience is helpful, this is indicated below so you can decide whether any preparation is useful for you.
For an optimal learning experience
Preparation guidance
This module is designed as part of a modular training approach. Topics are deliberately distributed across modules and are not repeated in full, in order to avoid unnecessary redundancy. Each module is self-contained and can be taken on its own. Where prior knowledge or experience is helpful, this is indicated below so you can decide whether any preparation is useful for you.
Assumed background
This module assumes participants can work within a management system and can interpret operational responsibilities and evidence requirements.
Helpful background includes:
Basic understanding of management system roles, procedures, and documented information
Familiarity with how risk decisions and approvals create operational constraints
Practical understanding of AI lifecycle artefacts and monitoring concepts
This module assumes participants can work within a management system and can interpret operational responsibilities and evidence requirements.
Helpful background includes:
Basic understanding of management system roles, procedures, and documented information
Familiarity with how risk decisions and approvals create operational constraints
Practical understanding of AI lifecycle artefacts and monitoring concepts
Preparatory modules
Foundational modules (depending on background)
Useful if you are new to the underlying concepts or want a shared baseline before attending this module.
Operational Control Foundations
Learn the fundamentals of designing and running controlled operational processes with clear roles, controls, records, and change handling
7 h
Operational Control Foundations
Learn the fundamentals of designing and running controlled operational processes with clear roles, controls, records, and change handling
7 h
Operational Control Foundations
Learn the fundamentals of designing and running controlled operational processes with clear roles, controls, records, and change handling
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
Supporting modules (optional)
Helpful if you want to deepen related skills, but not required to participate effectively.
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 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
Continuous learning
Follow-up modules
Continuous learning
Follow-up modules
Continuous learning
Follow-up modules
After completion of this module, the following modules are ideal to further deepen your competence. If you are looking for a structured learning path, modules can also be taken as part of a professional track.
Monitoring & Measurement Foundations
Learn the fundamentals of measurement methods, data quality checks, and measurement registers for consistent performance data
Duration
7 h
List price
CHF 550
View module
Monitoring & Measurement Foundations
Learn the fundamentals of measurement methods, data quality checks, and measurement registers for consistent performance data
Duration
7 h
List price
CHF 550
View module
Monitoring & Measurement Foundations
Learn the fundamentals of measurement methods, data quality checks, and measurement registers for consistent performance data
Duration
7 h
List price
CHF 550
View module
Performance Evaluation Foundations
Learn the fundamentals of analysing performance results, interpreting trends and deviations, and summarising evaluation outputs for management decisions
Duration
7 h
List price
CHF 550
View module
Performance Evaluation Foundations
Learn the fundamentals of analysing performance results, interpreting trends and deviations, and summarising evaluation outputs for management decisions
Duration
7 h
List price
CHF 550
View module
Performance Evaluation Foundations
Learn the fundamentals of analysing performance results, interpreting trends and deviations, and summarising evaluation outputs for management decisions
Duration
7 h
List price
CHF 550
View module
Improvement Management
Understand corrective actions, root cause analysis, action tracking, and effectiveness verification in management systems
Duration
7 h
List price
CHF 550
View module
Improvement Management
Understand corrective actions, root cause analysis, action tracking, and effectiveness verification in management systems
Duration
7 h
List price
CHF 550
View module
Improvement Management
Understand corrective actions, root cause analysis, action tracking, and effectiveness verification in management systems
Duration
7 h
List price
CHF 550
View module
Internal Audit Foundations
Understand the purpose of internal audits, role responsibilities, independence expectations, and how audit results are used in governance and improvement
Duration
7 h
List price
CHF 550
View module
Internal Audit Foundations
Understand the purpose of internal audits, role responsibilities, independence expectations, and how audit results are used in governance and improvement
Duration
7 h
List price
CHF 550
View module
Internal Audit Foundations
Understand the purpose of internal audits, role responsibilities, independence expectations, and how audit results are used in governance and improvement
Duration
7 h
List price
CHF 550
View module
Management Review
Learn the fundamentals of planning, conducting, and documenting management reviews using integrated inputs and decision-focused outputs
Duration
7 h
List price
CHF 550
View module
Management Review
Learn the fundamentals of planning, conducting, and documenting management reviews using integrated inputs and decision-focused outputs
Duration
7 h
List price
CHF 550
View module
Management Review
Learn the fundamentals of planning, conducting, and documenting management reviews using integrated inputs and decision-focused outputs
Duration
7 h
List price
CHF 550
View module
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.