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DAT2111 Mastering ISO 42001 for Global Supply Chain Leaders

$199.00
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A tailored course, built for your situation

Mastering ISO 42001 for Global Supply Chain Leaders

Build AI governance into your core operations with confidence and control.

$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.
Feeling like AI governance is being added to your plate without formal authority?

The situation this course is for

Leaders are being asked to govern AI systems they didn’t deploy, without budget increases or clear frameworks to lean on.

Who this is for

Senior global operations leader expected to absorb AI governance into existing compliance and supply chain oversight

Who this is not for

Individual contributors, ICs in regional roles, or those without cross-jurisdictional accountability

What you walk away with

  • Documented authority to assess and approve AI use cases in procurement and logistics
  • Clear mapping of ISO 42001 controls to existing supply chain risk frameworks
  • Internal recognition as the decision anchor for AI system onboarding
  • Ability to produce evidence-ready artifacts for internal and external audits
  • Consistent stakeholder alignment on AI governance thresholds across regions

The 12 modules (with all 144 chapters)

Module 1. Understanding ISO 42001 and Its Role in Global Supply Chains
Explore how ISO 42001 fills the governance gap for AI systems in complex, cross-border operations. Learn to distinguish it from legacy standards and identify where it intersects with existing compliance mandates.
12 chapters in this module
  1. Defining AI governance in the context of supply chain operations
  2. How ISO 42001 differs from ISO 27001 and ISO 20000
  3. Key clauses relevant to procurement and vendor oversight
  4. Mapping AI risks to operational continuity in global networks
  5. The evolution from ethics frameworks to auditable standards
  6. Global regulatory alignment and cross-jurisdictional applicability
  7. Connecting AI governance to ESG and sustainability reporting
  8. Understanding the scope of organizational AI systems
  9. Identifying AI use cases in logistics and forecasting
  10. Assessing third-party AI dependencies in supply networks
  11. The role of documentation in audit readiness
  12. Establishing governance boundaries without overreach
Module 2. Integrating ISO 42001 into Existing Compliance Frameworks
Learn to embed ISO 42001 within your current risk and compliance workflows without creating parallel systems. Focus on integration points with SOX, SOC 2, and COBIT where applicable.
12 chapters in this module
  1. Auditing existing control environments for AI readiness
  2. Identifying overlap with current governance frameworks
  3. Streamlining documentation across compliance standards
  4. Leveraging existing audit cycles for ISO 42001 evidence
  5. Aligning AI governance with internal control reviews
  6. Reducing duplication in policy management systems
  7. Working with legal and privacy teams on joint deliverables
  8. Incorporating AI controls into annual risk assessments
  9. Updating vendor due diligence questionnaires
  10. Training procurement teams on AI-related red flags
  11. Creating unified dashboards for cross-functional oversight
  12. Maintaining consistency across global subsidiaries
Module 3. Establishing Governance Boundaries for AI in Procurement
Define where your authority starts and ends when AI is embedded in vendor systems. Develop protocols to assess third-party AI tools used across the supply chain.
12 chapters in this module
  1. Identifying AI features in vendor-provided platforms
  2. Setting thresholds for acceptable AI automation
  3. Developing vendor intake processes for AI capabilities
  4. Creating standard language for AI clauses in contracts
  5. Assessing explainability requirements for procurement AI
  6. Managing model drift and retraining expectations
  7. Defining responsibility for AI failure in vendor systems
  8. Establishing audit rights for third-party AI models
  9. Documenting decision logs for AI-assisted sourcing
  10. Handling AI bias in supplier selection algorithms
  11. Maintaining human-in-the-loop requirements
  12. Tracking changes to AI functionality over contract life
Module 4. Building an AI Governance Playbook Aligned to Supply Chain Risks
Create a living document that defines roles, escalation paths, and response protocols for AI incidents specific to logistics, forecasting, and inventory systems.
12 chapters in this module
  1. Defining critical AI failure scenarios in supply chains
  2. Mapping escalation paths for AI performance drops
  3. Creating response checklists for forecasting errors
  4. Establishing ownership for AI model monitoring
  5. Defining thresholds for manual override
  6. Planning for AI-driven demand spikes or shortages
  7. Integrating AI alerts into existing operations centers
  8. Documenting root cause analysis procedures
  9. Setting recovery time objectives for AI failures
  10. Managing communication during AI disruptions
  11. Conducting post-mortems on AI-related incidents
  12. Updating playbooks based on incident learnings
Module 5. Implementing Documentation Requirements for ISO 42001
Master the specific records and evidence needed to pass an ISO 42001 review, tailored to supply chain use cases and decentralized operations.
12 chapters in this module
  1. Identifying mandatory documentation per clause
  2. Creating centralized repositories for distributed teams
  3. Version control for AI governance policies
  4. Capturing decision rationale for AI approvals
  5. Maintaining logs of AI model performance reviews
  6. Documenting stakeholder consultation outcomes
  7. Formatting records for auditor accessibility
  8. Ensuring multilingual compliance documentation
  9. Tracking changes to AI governance scope
  10. Linking records to specific ISO 42001 controls
  11. Reducing documentation burden through templates
  12. Automating evidence collection where possible
Module 6. Conducting AI Risk Assessments in Global Operations
Apply a structured method to evaluate AI risks across jurisdictions, focusing on continuity, ethics, and cross-border data flows.
12 chapters in this module
  1. Defining risk tolerance for AI in supply chain contexts
  2. Assessing geopolitical exposure in AI dependencies
  3. Evaluating data sovereignty implications
  4. Identifying single points of failure in AI systems
  5. Analyzing supply chain concentration risks with AI
  6. Scoring AI use cases by operational impact
  7. Involving local teams in risk assessment design
  8. Benchmarking against industry-specific threats
  9. Integrating AI risk into enterprise risk frameworks
  10. Updating assessments based on threat intelligence
  11. Communicating findings to senior operations leads
  12. Prioritizing mitigation based on risk severity
Module 7. Leading Cross-Functional Alignment on AI Governance
Gain influence across legal, IT, and procurement by speaking the language of operations and risk, not just compliance.
12 chapters in this module
  1. Positioning AI governance as a strategic enabler
  2. Translating ISO 42001 into operational terms
  3. Collaborating with legal on regulatory exposure
  4. Working with IT on integration feasibility
  5. Aligning procurement on AI vendor standards
  6. Gaining buy-in from regional operations leads
  7. Facilitating cross-functional governance meetings
  8. Managing resistance to new oversight processes
  9. Demonstrating value beyond audit readiness
  10. Building coalitions around common AI risks
  11. Measuring alignment through shared KPIs
  12. Sustaining engagement through regular updates
Module 8. Designing Human Oversight Mechanisms for Autonomous Systems
Ensure human judgment remains central in AI-driven decisions, especially in high-consequence logistics and sourcing scenarios.
12 chapters in this module
  1. Defining critical decision points for human review
  2. Setting thresholds for automatic vs manual approval
  3. Designing escalation triggers for anomalous AI output
  4. Creating checklists for human-in-the-loop validation
  5. Training teams on recognizing AI overreach
  6. Documenting override decisions for audit purposes
  7. Balancing efficiency with oversight rigor
  8. Monitoring false positive rates in AI alerts
  9. Ensuring accessibility of override functions
  10. Evaluating fatigue risks in continuous monitoring
  11. Updating oversight rules based on performance
  12. Auditing compliance with human oversight policies
Module 9. Managing AI Model Lifecycle in Operational Contexts
Establish protocols for monitoring, retraining, and retiring AI models used in forecasting, routing, and inventory optimization.
12 chapters in this module
  1. Tracking model performance over time
  2. Setting retraining triggers based on data drift
  3. Managing version control for AI models
  4. Documenting model retirement procedures
  5. Communicating changes to downstream teams
  6. Assessing impact of model updates on operations
  7. Validating model accuracy in real-world conditions
  8. Involving domain experts in model review
  9. Handling model dependency chains
  10. Ensuring backup processes during model transitions
  11. Auditing model change history
  12. Maintaining model lineage for transparency
Module 10. Preparing for Internal and External ISO 42001 Reviews
Turn audit preparation into a strategic advantage by demonstrating governance maturity and operational resilience.
12 chapters in this module
  1. Anticipating auditor questions on supply chain AI
  2. Organizing evidence for efficient review
  3. Conducting internal mock audits
  4. Training teams on auditor interactions
  5. Responding to findings without overreacting
  6. Demonstrating continuous improvement
  7. Highlighting operational benefits of governance
  8. Positioning your role in audit narratives
  9. Leveraging audit outcomes for authority expansion
  10. Maintaining audit readiness year-round
  11. Integrating feedback into governance updates
  12. Building credibility through consistency
Module 11. Scaling Governance Practices Across Regions and Functions
Adapt ISO 42001 implementation to diverse legal and operational environments without sacrificing consistency.
12 chapters in this module
  1. Respecting local regulations while maintaining standards
  2. Adapting governance playbooks for regional needs
  3. Training regional teams on core principles
  4. Creating multilingual resources
  5. Empowering local champions
  6. Standardizing critical controls across locations
  7. Allowing flexibility in implementation
  8. Monitoring compliance across subsidiaries
  9. Addressing cultural differences in AI adoption
  10. Balancing central oversight with autonomy
  11. Sharing best practices across regions
  12. Auditing consistency without duplication
Module 12. Sustaining AI Governance Maturity Over Time
Turn initial implementation into lasting capability by embedding practices into routines and leadership expectations.
12 chapters in this module
  1. Integrating AI governance into leadership reviews
  2. Updating playbooks based on operational feedback
  3. Measuring governance effectiveness quantitatively
  4. Celebrating wins and reinforcing norms
  5. Onboarding new team members effectively
  6. Revising policies based on performance data
  7. Connecting governance to business outcomes
  8. Positioning AI governance as a differentiator
  9. Maintaining momentum after initial rollout
  10. Aligning with executive priorities
  11. Ensuring leadership continuity
  12. Planning for next-phase enhancements

How this maps to your situation

  • Module 1: Establishing foundational knowledge of ISO 42001 in supply chain contexts
  • Module 4: Developing incident response plans specific to logistics AI failures
  • Module 7: Building influence with cross-functional peers without formal authority
  • Module 10: Demonstrating audit readiness to expand internal credibility

Before vs. after

Before
Overseeing AI systems without formal governance authority or clear frameworks
After
Leading with documented oversight rights and repeatable processes aligned to ISO 42001

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 week over three months, designed for integration into existing workflows.

If nothing changes
Continuing to manage AI risks ad hoc increases exposure to operational failures and missed opportunities to formalize expanded responsibilities.

How this compares to the alternatives

Unlike generic AI ethics courses, this program delivers actionable governance frameworks directly applicable to supply chain operations and compliance expectations.

Frequently asked

Is this course relevant if I’m not in tech or data science?
Yes. This course is designed for operations and compliance leaders who must govern AI systems they don’t build or deploy.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me gain formal authority over AI initiatives?
Yes. The course provides the structure and documentation needed to claim and justify expanded governance scope in your current role.
$199 one-time. Approximately 90 minutes per week over three months, designed for integration into existing workflows..

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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