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DAT3292 Mastering ISO 42001 for Enterprise Architects in Global Firms

$199.00
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A tailored course, built for your situation

Mastering ISO 42001 for Enterprise Architects in Global Firms

A complete implementation guide to AI management systems tailored for enterprise architecture leadership

$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.
Audit evidence packages that require last-minute fixes due to misaligned control ownership

The situation this course is for

Enterprise Architects in global firms face recurring delays in compliance deliverables because control ownership isn't clearly mapped to technical components. This leads to rework cycles during client reviews, regulator touchpoints, and internal audits, consuming bandwidth that should be spent on design leadership.

Who this is for

Senior Enterprise Architect in a global consulting firm, responsible for aligning technical architecture with compliance frameworks like ISO 42001, ISO 27001, and NIST CSF. Works across client engagements and internal transformation programs. Needs to produce credible, defensible artefacts under tight timelines.

Who this is not for

This course is not for junior compliance officers, entry-level auditors, or practitioners focused solely on SOC 2 or PCI DSS. It assumes fluency in enterprise architecture patterns and control frameworks.

What you walk away with

  • Produce ISO 42001 control mappings that pass internal review the first time
  • Defend architectural decisions with cited sources and real-world parallels
  • Reduce stakeholder alignment cycles from weeks to days
  • Position AI governance as a core architectural capability, not a compliance add-on
  • Build reusable implementation templates for AI management systems

The 12 modules (with all 144 chapters)

Module 1. Understanding ISO 42001 and Its Role in Enterprise Architecture
Foundational overview of ISO 42001, its structure, and how it integrates with existing enterprise architecture frameworks like TOGAF and Zachman. Focus on identifying where AI governance intersects with data, security, and compliance domains.
12 chapters in this module
  1. What ISO 42001 is and why it matters for architects
  2. Key differences between ISO 42001 and ISO 27001
  3. How AI governance fits within the enterprise architecture lifecycle
  4. Mapping ISO 42001 clauses to architecture domains
  5. The role of architects in AI risk identification
  6. Common misalignments between AI policy and technical design
  7. Integrating ISO 42001 into architecture review boards
  8. How consulting firms are applying ISO 42001 in client work
  9. Case study: AI governance in a global banking transformation
  10. Identifying high-impact control areas early
  11. Avoiding over-engineering in AI management systems
  12. Setting realistic scope boundaries for ISO 42001 implementation
Module 2. Defining AI Governance Boundaries in Complex Organizations
Guidance on scoping AI systems within large, multi-vendor environments. Covers identifying in-scope systems, defining ownership, and managing dependencies across teams.
12 chapters in this module
  1. How to define what counts as an AI system
  2. Boundary-setting for machine learning pipelines
  3. Determining control ownership across teams
  4. Managing AI systems that span multiple business units
  5. When to include or exclude third-party AI models
  6. Scoping AI use cases in hybrid cloud environments
  7. Documenting system boundaries for audit readiness
  8. Common pitfalls in defining AI scope
  9. How to handle legacy AI models
  10. Integrating AI governance into change management
  11. Aligning with data governance frameworks
  12. Using architecture diagrams to clarify boundaries
Module 3. Control Mapping for AI Management Systems
Step-by-step approach to translating ISO 42001 requirements into technical controls, including ownership assignment, evidence collection, and integration with existing control frameworks.
12 chapters in this module
  1. Breaking down ISO 42001 control clauses
  2. Mapping controls to technical components
  3. Assigning ownership to specific roles
  4. Integrating with ISO 27001 and NIST CSF
  5. Documenting control implementation
  6. Avoiding duplication across frameworks
  7. Using control matrices effectively
  8. Common gaps in AI control mapping
  9. How to handle overlapping responsibilities
  10. Linking controls to architecture decisions
  11. Validating control completeness
  12. Preparing for internal audit review
Module 4. Evidence Collection and Artefact Management
Practical strategies for gathering and organizing compliance evidence, including documentation standards, version control, and stakeholder sign-off.
12 chapters in this module
  1. What constitutes valid evidence for ISO 42001
  2. Designing evidence collection workflows
  3. Standardizing documentation formats
  4. Version control for compliance artefacts
  5. Obtaining timely stakeholder sign-offs
  6. Automating evidence collection where possible
  7. Managing evidence across geographies
  8. Using templates to reduce rework
  9. Common delays in evidence gathering
  10. Integrating with ServiceNow and Jira
  11. Auditor expectations for evidence
  12. Preparing for unannounced reviews
Module 5. Stakeholder Alignment and Communication
Techniques for aligning legal, compliance, data science, and engineering teams around AI governance requirements, including messaging, timelines, and escalation paths.
12 chapters in this module
  1. Identifying key stakeholders in AI governance
  2. Tailoring communication to different audiences
  3. Building cross-functional working groups
  4. Setting realistic timelines for compliance
  5. Managing competing priorities
  6. Escalation paths for unresolved issues
  7. Running effective alignment workshops
  8. Using architecture reviews to drive consensus
  9. Handling resistance from technical teams
  10. Communicating progress to leadership
  11. Documenting decisions and rationale
  12. Maintaining momentum across quarters
Module 6. Integrating ISO 42001 with Existing Governance Frameworks
How to align ISO 42001 with COBIT, NIST CSF, and internal risk frameworks without creating redundancy or confusion.
12 chapters in this module
  1. Mapping ISO 42001 to COBIT domains
  2. Aligning with NIST CSF functions
  3. Integrating with internal risk registers
  4. Avoiding control duplication
  5. Using a unified control taxonomy
  6. Common integration pitfalls
  7. How to handle conflicting requirements
  8. Leveraging existing compliance infrastructure
  9. Aligning with data protection frameworks
  10. Cross-walking between standards
  11. Documenting integration decisions
  12. Maintaining consistency across audits
Module 7. Risk Assessment for AI Systems
Methodology for conducting AI-specific risk assessments, including identifying harm, assessing impact, and determining risk tolerance.
12 chapters in this module
  1. Defining risk criteria for AI systems
  2. Identifying potential harms from AI
  3. Assessing likelihood and impact
  4. Determining risk tolerance levels
  5. Involving domain experts in risk workshops
  6. Documenting risk assessment outcomes
  7. Common biases in AI risk evaluation
  8. Using risk matrices effectively
  9. Linking risk to control design
  10. Revisiting risk assessments over time
  11. Handling high-risk AI use cases
  12. Auditor expectations for risk documentation
Module 8. AI System Lifecycle Management
Guidance on managing AI systems from design to decommissioning, including version control, monitoring, and retirement.
12 chapters in this module
  1. Phases of the AI system lifecycle
  2. Designing for auditability and explainability
  3. Version control for models and data
  4. Monitoring AI performance in production
  5. Handling model drift and degradation
  6. Retiring AI systems securely
  7. Documenting lifecycle decisions
  8. Integrating with CI/CD pipelines
  9. Common failures in lifecycle management
  10. Using architecture diagrams to track versions
  11. Ensuring data lineage
  12. Preparing for end-of-life reviews
Module 9. Third-Party and Vendor Management
Approach to managing AI risks in vendor-supplied systems, including due diligence, contract terms, and ongoing monitoring.
12 chapters in this module
  1. Assessing vendor AI capabilities
  2. Due diligence for third-party AI
  3. Contractual requirements for AI systems
  4. Monitoring vendor compliance
  5. Handling vendor model updates
  6. Managing black-box AI systems
  7. Ensuring data privacy in vendor relationships
  8. Auditing vendor AI controls
  9. Common pitfalls in vendor management
  10. Using SIG and CAIQ questionnaires
  11. Escalating vendor non-compliance
  12. Documenting vendor oversight
Module 10. Internal Audit and Continuous Improvement
Preparing for internal audits, responding to findings, and building feedback loops for continuous improvement.
12 chapters in this module
  1. What internal auditors look for in AI governance
  2. Preparing for audit interviews
  3. Responding to audit findings
  4. Prioritizing remediation actions
  5. Tracking findings to closure
  6. Using audit results to improve controls
  7. Common audit findings in AI governance
  8. Avoiding repeat findings
  9. Building a culture of compliance
  10. Integrating audit feedback into design
  11. Reporting audit status to leadership
  12. Maintaining audit readiness
Module 11. Change Management and Organizational Adoption
Strategies for driving adoption of AI governance practices across large organizations, including training, incentives, and leadership engagement.
12 chapters in this module
  1. Identifying change champions
  2. Designing training programs for AI governance
  3. Communicating benefits to teams
  4. Aligning incentives with compliance goals
  5. Handling resistance to change
  6. Measuring adoption success
  7. Sustaining momentum over time
  8. Integrating with performance reviews
  9. Using pilot projects to demonstrate value
  10. Scaling from proof of concept
  11. Documenting lessons learned
  12. Building a community of practice
Module 12. Future-Proofing AI Governance
Anticipating regulatory changes, emerging standards, and technological shifts to ensure long-term compliance and relevance.
12 chapters in this module
  1. Tracking regulatory developments
  2. Anticipating updates to ISO 42001
  3. Monitoring AI legislation globally
  4. Adapting to new technologies
  5. Ensuring scalability of governance
  6. Building modular control designs
  7. Using architecture patterns for flexibility
  8. Planning for audits under new rules
  9. Engaging with standards bodies
  10. Contributing to industry best practices
  11. Balancing innovation and compliance
  12. Documenting future readiness

How this maps to your situation

  • Initial scoping and boundary setting
  • Control design and integration
  • Stakeholder alignment and evidence collection
  • Ongoing audit and improvement

Before vs. after

Before
Spending weeks aligning stakeholders on ISO 42001 controls, only to face rework during audit cycles due to unclear ownership and missing evidence.
After
Producing audit-ready control mappings in days, with clear ownership, cited sources, and reusable templates that stand up to peer 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: 90 minutes per week over six weeks, designed for working professionals.

If nothing changes
Without a structured approach to ISO 42001 implementation, Enterprise Architects risk repeated rework cycles, delayed client deliverables, and diminished influence in AI governance conversations , especially as regulators increase scrutiny of AI systems.

How this compares to the alternatives

Unlike generic compliance courses, this program is tailored to Enterprise Architects in global firms, with real-world examples from consulting engagements and implementation templates you can use immediately.

Frequently asked

Is this course only for people working at large firms?
While it's designed with global consulting firms in mind, the frameworks apply to any organization implementing ISO 42001 at scale.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help with client-facing ISO 42001 engagements?
Yes, the course includes templates and examples specifically adapted for consulting delivery environments.
$199 one-time. 90 minutes per week over six weeks, designed for working professionals..

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
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