A tailored course, built for your situation
Mastering ISO 42001 for Global Marketing Program Managers
Build defensible AI governance that stands up to scrutiny across jurisdictions
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Standing firm when global stakeholders challenge your AI governance approach
The situation this course is for
Many marketing leaders absorb pressure when governance decisions face legal, technical, or regional pushback, especially without direct authority. The gap isn't knowledge, it's having accessible, source-backed reasoning at the moment of challenge.
Who this is for
Senior marketing executive leading cross-functional programs in regulated, global environments where AI governance intersects brand, compliance, and procurement
Who this is not for
Individuals looking for introductory AI ethics content or non-compliance-focused branding strategy
What you walk away with
- Articulate the rationale behind ISO 42001 controls using cited examples and implementation trade-offs
- Respond confidently to technical or legal challenges with sourced precedent
- Structure vendor discussions using standardized control language
- Differentiate between mandatory requirements and organizational choice in AI governance
- Prepare internal teams to maintain consistency even after leadership changes
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001's Core Structure
Break down the standard’s six clauses and their relationship to marketing governance frameworks. Map each section to real-world program decisions.
12 chapters in this module
- Defining AI system boundaries in global marketing campaigns
- How ISO 42001 differs from ISO 27001 in data handling
- Clause 4.1 and assessing external pressures on AI use
- Marketing-specific risks in AI transparency obligations
- Integrating stakeholder expectations into design criteria
- Documenting AI purpose statements for audit readiness
- Scope determination for multi-region digital tools
- Aligning AI governance with brand integrity goals
- Identifying non-technical decision points in AI deployment
- Mapping marketing automation tools to clause 4.2
- Common misinterpretations of 'intended use' in AI systems
- Case study: AI-enabled personalization under ISO 42001
Module 2. Governance and Leadership Responsibilities
Clarify leadership roles in AI governance, focusing on accountability without direct control. Learn how to lead through influence.
12 chapters in this module
- Assigning accountability for AI model outcomes
- Establishing top management commitment to AI policies
- Creating documented roles for marketing-led AI oversight
- Balancing innovation speed with governance thresholds
- How the firm Digital structures cross-functional AI review
- Linking AI governance to existing compliance reporting lines
- Communicating leadership intent across geographies
- Developing internal charters for AI use in campaigns
- Managing exceptions to AI standards with traceability
- Documenting decision rationale for external scrutiny
- Integrating AI governance into leadership KPIs
- Precedent: How IBM structured AI oversight committees
Module 3. Planning the AI Management System
Build a planning framework that anticipates risks, identifies opportunities, and aligns with marketing program cycles.
12 chapters in this module
- Identifying regulatory triggers in AI-driven content
- Assessing bias risks in audience segmentation models
- Planning for model lifecycle management in campaigns
- Integrating AI planning with quarterly marketing sprints
- Documenting risk treatment plans for automated decisions
- Determining acceptable levels of transparency by market
- Setting performance metrics for AI-enabled workflows
- Aligning AI planning with data privacy obligations
- Case study: AI image generation compliance roadmap
- Common pitfalls in AI planning across time zones
- How to scope AI initiatives without overreach
- Creating a living register of AI use cases
Module 4. Supporting the AI Management System
Ensure resources, competence, and awareness support consistent AI governance across teams and regions.
12 chapters in this module
- Defining required competencies for marketing AI roles
- Training teams on ISO 42001 documentation standards
- Creating multilingual awareness materials for AI use
- Selecting documentation formats for global access
- Securing buy-in from regional marketing leads
- Maintaining records of AI training and attestation
- Managing access rights to AI governance assets
- Integrating AI compliance into onboarding workflows
- Standardizing terminology across language groups
- Precedent: Multilingual rollout at Allianz Global
- Version control for marketing-specific AI policies
- Measuring awareness through engagement signals
Module 5. Operation and Control of AI Systems
Implement controls for AI use in marketing operations, from campaign design to real-time adjustments.
12 chapters in this module
- Validating AI-driven content before publication
- Monitoring model drift in personalization engines
- Establishing thresholds for human override
- Logging AI decisions in marketing automation
- Reviewing AI output against brand guidelines
- Controlling access to model tuning parameters
- Managing third-party AI tools in digital campaigns
- Documenting changes to AI system configurations
- Case study: Chatbot updates in regulated markets
- Handling versioning in multilingual AI responses
- Integrating AI controls into existing QA workflows
- Testing AI outputs for unintended bias
Module 6. Performance Evaluation of AI Governance
Measure effectiveness of AI governance through audits, reviews, and feedback loops tailored to marketing outcomes.
12 chapters in this module
- Designing internal audit checklists for AI use
- Scheduling reviews aligned with campaign cycles
- Collecting feedback from legal and compliance teams
- Measuring adherence to AI transparency standards
- Analyzing incident trends in AI-driven content
- Reporting on AI governance to senior sponsors
- Benchmarking maturity against ISO 42001 criteria
- Using customer complaints as governance signals
- Case study: Post-campaign AI audit at Microsoft
- Adjusting governance based on audit findings
- Integrating AI performance into operational reviews
- Documenting improvements from past incidents
Module 7. Improvement and Corrective Action
Respond to findings and enhance AI governance iteratively, ensuring lessons are captured and applied.
12 chapters in this module
- Classifying nonconformities in AI deployments
- Determining root causes of governance gaps
- Implementing corrective actions in marketing workflows
- Tracking effectiveness of AI policy updates
- Updating training materials after incidents
- Revising documentation after control changes
- Managing change in global AI tooling environments
- Integrating AI lessons into future campaign planning
- Case study: Corrective action after model bias finding
- Ensuring consistency across marketing regions
- Archiving deprecated AI governance materials
- Validating improvements through follow-up checks
Module 8. Vendor and Third-Party Management
Apply ISO 42001 principles to third-party AI tools and managed services used in marketing programs.
12 chapters in this module
- Assessing vendor AI governance maturity
- Including ISO 42001 clauses in procurement contracts
- Auditing third-party AI system documentation
- Managing access to vendor-owned AI models
- Ensuring vendor compliance with transparency rules
- Handling data flows in outsourced AI processing
- Defining joint accountability for AI outcomes
- Monitoring vendor performance on AI controls
- Case study: SaaS personalization tool onboarding
- Documenting third-party risk treatment plans
- Managing exit strategies for AI vendor contracts
- Evaluating open-source AI tools for marketing use
Module 9. Jurisdictional Compliance Mapping
Align ISO 42001 implementation with regional laws including GDPR, CCPA, and DORA.
12 chapters in this module
- Mapping GDPR data subject rights to AI controls
- Aligning CCPA opt-out mechanisms with AI systems
- Integrating DORA requirements into AI oversight
- Handling AI disclosures in financial promotions
- Adapting AI governance for APAC market rules
- Complying with Brazilian LGPD in AI campaigns
- Documenting jurisdiction-specific AI treatments
- Managing conflicting transparency demands
- Case study: Cross-border email campaign audit
- Balancing standardization with local adaptation
- Tracking regulatory changes across regions
- Creating jurisdictional decision trees for AI use
Module 10. Marketing-Specific AI Use Cases
Explore practical applications of ISO 42001 in content generation, personalization, and customer interaction.
12 chapters in this module
- Applying controls to AI-generated social content
- Governance for dynamic pricing algorithms
- Ensuring fairness in AI-driven audience targeting
- Transparency in chatbot identity disclosure
- Managing expectations in AI-powered recommendations
- Auditing AI copy variations across markets
- Case study: AI video generation compliance
- Handling AI hallucination in customer replies
- Labeling AI content in multilingual environments
- Reviewing AI copy for brand voice consistency
- Monitoring sentiment in AI-generated responses
- Documenting rationale for AI creative choices
Module 11. Internal Audit Preparation
Prepare for internal reviews with complete, defensible documentation and clear rationale.
12 chapters in this module
- Organizing documentation for ISO 42001 audits
- Rehearsing responses to common auditor questions
- Validating evidence trails for AI decisions
- Preparing program leads for audit interviews
- Cross-checking marketing materials against controls
- Addressing gaps in AI policy implementation
- Demonstrating continuous improvement efforts
- Case study: Pre-audit readiness at Siemens
- Responding to requests for AI system logs
- Clarifying roles during audit walkthroughs
- Updating records before audit commencement
- Streamlining access to supporting evidence
Module 12. Sustaining AI Governance Over Time
Ensure long-term durability of AI governance through documentation, training, and leadership continuity.
12 chapters in this module
- Preserving AI governance knowledge across roles
- Updating playbooks for new marketing technologies
- Onboarding successors to AI oversight roles
- Maintaining currency with ISO 42001 revisions
- Refreshing training content with real examples
- Archiving legacy AI system documentation
- Linking AI governance to leadership succession
- Scaling governance for new market entries
- Case study: Knowledge transfer post-merger
- Measuring institutional memory retention
- Creating evergreen templates for new campaigns
- Building resilience against team turnover
How this maps to your situation
- Global marketing governance
- AI transparency in customer engagement
- Cross-jurisdictional compliance
- Vendor-managed AI tools in campaigns
Before vs. after
Before
Handling governance challenges reactively, relying on fragmented documentation and inconsistent stakeholder alignment
After
Leading with confidence, equipped with source-backed reasoning, clear controls, and proven examples that withstand scrutiny
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 90 minutes per module, designed for completion within two weeks at a part-time pace.
If nothing changes
Without defensible governance, marketing innovations may face delays, legal challenges, or brand risk when questioned by compliance or external reviewers.
How this compares to the alternatives
Unlike generic AI ethics courses, this program focuses on ISO 42001’s specific controls and their application in marketing governance, providing defensible, auditable reasoning rather than abstract principles.
Frequently asked
Is this course technical or policy-focused?
It's policy and governance-focused, designed for practitioners leading programs, not coding models. Covers implementation, compliance, and cross-functional alignment.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this to non-marketing AI systems?
Yes. While examples are marketing-focused, the ISO 42001 framework applies universally. You’ll gain transferable reasoning skills.
$199 one-time. Approximately 90 minutes per module, designed for completion within two weeks at a part-time pace..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours