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DAT3416 Mastering ISO 42001 for Supply Chain Leaders in Strategic Advisory

$199.00
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What is the ISO 42001 for Supply Chain Leaders course about?

Consultants face pressure to deliver AI governance fast, but without a recognized framework, solutions feel ad hoc. Clients question consistency. Proposals lack defensibility. Engagements stall at procurement. The absence of a standardized approach limits deal size and margin potential, even when the demand signal is clear.

What situation is the ISO 42001 for Supply Chain Leaders for?

Consultants face pressure to deliver AI governance fast, but without a recognized framework, solutions feel ad hoc. Clients question consistency. Proposals lack defensibility. Engagements stall at procurement. The absence of a standardized approach limits deal size and margin potential, even when the demand signal is clear.

Who is the ISO 42001 for Supply Chain Leaders course for?

Senior supply chain consultant in a strategic advisory firm, responsible for designing and selling AI-integrated operations improvements to industrial clients.

What do you take away from the ISO 42001 for Supply Chain Leaders course?

Structure AI governance projects that justify 20%+ higher fee benchmarks Differentiate client proposals with ISO 42001-aligned control frameworks Deliver audit-ready statements of applicability (SoA) in under 10 days Position AI accountability as a repeatable product, not a one-off service Shorten procurement cycles by aligning with regulator-recognized standards.

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.

What does the ISO 42001 for Supply Chain Leaders cover on delivery and format?

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 12 weeks, designed for busy consultants to complete on their own schedule.

How does this compare to the alternatives?

Unlike generic AI ethics courses, this program focuses on implementable ISO 42001 controls. Compared to off-the-shelf compliance training, it’s tailored to supply chain consultants selling into industrial clients.

What does the ISO 42001 for Supply Chain Leaders cover on frequently asked?

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

Closely related courses: Supply Chain in Supply Chain Segmentation, Supply Chain Segmentation in Supply Chain Segmentation, Supply Chain Financing in Supply Chain Segmentation, Supply Chain Mapping in Supply Chain Segmentation.

More answers: what you get with every course, refund policy, all help answers.

A tailored course, built for your situation

Mastering ISO 42001 for Supply Chain Leaders in Strategic Advisory

Turn AI governance into a structured asset for high-margin consulting engagements

$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.
AI governance remains unstructured, making it hard to scale advisory offerings or justify premium fees

The situation this course is for

Consultants face pressure to deliver AI governance fast, but without a recognized framework, solutions feel ad hoc. Clients question consistency. Proposals lack defensibility. Engagements stall at procurement. The absence of a standardized approach limits deal size and margin potential, even when the demand signal is clear.

Who this is for

Senior supply chain consultant in a strategic advisory firm, responsible for designing and selling AI-integrated operations improvements to industrial clients

Who this is not for

Entry-level analysts, internal IT staff, or practitioners focused solely on non-AI supply chain automation

What you walk away with

  • Structure AI governance projects that justify 20%+ higher fee benchmarks
  • Differentiate client proposals with ISO 42001-aligned control frameworks
  • Deliver audit-ready statements of applicability (SoA) in under 10 days
  • Position AI accountability as a repeatable product, not a one-off service
  • Shorten procurement cycles by aligning with regulator-recognized standards

The 12 modules (with all 144 chapters)

Module 1. Introduction to ISO 42001 and the AI Governance Opportunity
Establish the relevance of ISO 42001 in modern supply chain consulting, highlighting its value in structuring premium engagements and differentiating offerings in competitive bids.
12 chapters in this module
  1. Understanding the global demand for AI accountability
  2. How ISO 42001 fills the governance gap in industrial AI
  3. Positioning standards as profit levers, not compliance costs
  4. Case study: AI audit failure in an automotive supplier network
  5. From reactive fixes to proactive governance design
  6. Why consultants are best positioned to lead this shift
  7. Mapping ISO 42001 to client procurement criteria
  8. Avoiding common misinterpretations of the standard
  9. The difference between AI ethics and AI governance
  10. Linking AI controls to supply chain KPIs
  11. Common objections from procurement teams and how to counter them
  12. Setting expectations for project scope and client buy-in
Module 2. Anatomy of an AI Management System (AIMS)
Break down the components of an AI management system, showing how to design scalable frameworks that clients can implement and auditors can validate.
12 chapters in this module
  1. Core elements of an AI Management System
  2. Integrating AIMS with existing supply chain controls
  3. Defining the lifecycle stages of AI-enabled systems
  4. Mapping AIMS to ISO 42001 clause 4.3
  5. Scoping boundaries for multi-tier manufacturing networks
  6. Documenting AI system inventories effectively
  7. Managing legacy AI models within the AIMS framework
  8. Aligning AIMS with SOC 2 and ISO 27001 deployments
  9. Creating governance maps for third-party AI vendors
  10. Tracking AI model drift across production environments
  11. Setting thresholds for human override in AI decisions
  12. Versioning and archiving AI system documentation
Module 3. Leadership Commitment and AI Governance Oversight
Guide consultants on how to structure executive engagement and define clear accountability in AI governance programs.
12 chapters in this module
  1. Defining leadership roles in AI governance
  2. Structuring AI accountability committees
  3. Documenting board-level policy endorsements
  4. Setting AI risk appetite statements
  5. Creating escalation paths for AI incidents
  6. Integrating AI oversight into existing governance forums
  7. Measuring leadership effectiveness in AI governance
  8. Drafting governance charters for client sign-off
  9. Balancing innovation speed with AI controls
  10. Handling conflicts between AI developers and operations
  11. Securing budget for AI monitoring tools
  12. Reporting AI risk exposure to C-suite stakeholders
Module 4. AI Risk Assessment and Opportunity Mapping
Teach how to conduct targeted AI risk assessments that uncover high-impact leverage points across supply chain operations.
12 chapters in this module
  1. Identifying AI use cases in procurement and logistics
  2. Classifying AI risk by impact and likelihood
  3. Using risk matrices tailored to manufacturing settings
  4. Assessing bias potential in supplier selection algorithms
  5. Evaluating AI dependencies in inventory forecasting
  6. Mapping AI failure scenarios to business continuity
  7. Prioritizing high-risk AI systems for immediate remediation
  8. Documenting risk treatment plans with client teams
  9. Benchmarking AI risk maturity against industry peers
  10. Linking AI risk outcomes to ESG reporting
  11. Creating living risk registers for ongoing review
  12. Integrating AI risk into existing enterprise risk frameworks
Module 5. Designing Controls for AI-Driven Decisioning
Provide a systematic approach to building technical and procedural safeguards around AI-influenced supply chain decisions.
12 chapters in this module
  1. Types of AI controls: technical, organisational, procedural
  2. Developing control objectives for demand forecasting models
  3. Validating training data sources for AI systems
  4. Ensuring transparency in AI-driven supplier scoring
  5. Setting human-in-the-loop requirements
  6. Defining thresholds for AI override authority
  7. Auditing AI decision logs for compliance
  8. Control design for edge AI in warehouse robotics
  9. Mitigating data poisoning in predictive maintenance models
  10. Securing AI model weights and inference pipelines
  11. Maintaining control effectiveness across model updates
  12. Documenting control implementation for third-party audits
Module 6. Operationalising AI Governance in Supply Chain Workflows
Show how to embed AI controls directly into procurement, logistics, and production planning processes.
12 chapters in this module
  1. Integrating AI governance into procurement RFPs
  2. Embedding AI controls in supplier onboarding
  3. Monitoring AI performance in logistics routing
  4. Validating AI-based inventory recommendations
  5. Training supply chain staff on AI oversight
  6. Creating playbooks for AI incident response
  7. Scheduling AI model retraining cycles
  8. Tracking AI system performance against SLAs
  9. Integrating AI alerts into existing NOC workflows
  10. Managing AI model versioning in production
  11. Handling fallback procedures during AI outages
  12. Documenting process changes for internal audit
Module 7. Competence, Awareness, and Training for AI Governance
Equip consultants to assess and improve client team readiness for AI accountability.
12 chapters in this module
  1. Assessing team competency in AI governance
  2. Designing role-based training programs
  3. Creating AI governance awareness campaigns
  4. Developing certification paths for AI stewards
  5. Evaluating third-party training providers
  6. Building internal AI expertise roadmaps
  7. Measuring training effectiveness with KPIs
  8. Creating refresher modules for high-turnover teams
  9. Translating AI governance concepts for non-technical staff
  10. Developing AI ethics playbooks for decision-makers
  11. Auditing training compliance across supply chain partners
  12. Maintaining training records for regulatory review
Module 8. Documentation and Evidence Management for Audits
Teach how to create audit-ready documentation packages that accelerate client readiness for compliance reviews.
12 chapters in this module
  1. Essential documents for ISO 42001 compliance
  2. Building a centralized AI governance repository
  3. Standardising templates for AI policies
  4. Creating version-controlled control descriptions
  5. Documenting AI risk treatment decisions
  6. Maintaining audit trails for AI model changes
  7. Preparing statements of applicability (SoA)
  8. Gathering evidence for third-party assessors
  9. Redacting sensitive information for external review
  10. Organising documentation for multi-site audits
  11. Using automation to maintain document freshness
  12. Responding to auditor requests efficiently
Module 9. Monitoring, Measurement, and Continuous Improvement
Guide implementation of ongoing AI governance monitoring that drives measurable supply chain improvements.
12 chapters in this module
  1. Defining KPIs for AI governance effectiveness
  2. Tracking AI model performance degradation
  3. Measuring incident response times
  4. Conducting internal AI control audits
  5. Using AI health dashboards for executive reporting
  6. Setting thresholds for performance alerts
  7. Scheduling management review meetings
  8. Analysing AI incident root causes
  9. Implementing corrective action workflows
  10. Benchmarking AI maturity across sites
  11. Reporting AI governance outcomes to investors
  12. Integrating feedback loops into AI development
Module 10. Internal Audit Readiness and Corrective Action
Prepare consultants to lead clients through AI governance audits and implement effective follow-up actions.
12 chapters in this module
  1. Planning internal AI governance audits
  2. Selecting audit scope and sample size
  3. Developing audit checklists based on ISO 42001
  4. Conducting virtual audits across global sites
  5. Assessing control design and operating effectiveness
  6. Documenting audit findings clearly
  7. Prioritising findings by risk severity
  8. Developing corrective action plans
  9. Tracking remediation progress
  10. Validating closure of action items
  11. Preparing for external certification audits
  12. Using audit results to improve AIMS
Module 11. Client-Facing Delivery of AI Governance Projects
Equip consultants with frameworks to manage client delivery, stakeholder alignment, and governance adoption.
12 chapters in this module
  1. Structuring client engagement kick-offs
  2. Managing stakeholder expectations
  3. Communicating AI governance benefits to operations teams
  4. Handling resistance from AI developers
  5. Creating phased rollout plans
  6. Demonstrating early wins to secure buy-in
  7. Managing scope changes in governance projects
  8. Integrating AI governance into change management
  9. Measuring client adoption rates
  10. Building client self-sufficiency in AI oversight
  11. Handing over governance ownership
  12. Securing follow-on advisory work
Module 12. Scaling AI Governance Across the Enterprise
Show how to expand AI accountability from pilot projects to organization-wide frameworks.
12 chapters in this module
  1. Developing enterprise-wide AI governance roadmaps
  2. Creating central governance functions
  3. Standardising AI controls across business units
  4. Integrating AI oversight with ERM
  5. Building AI governance centres of excellence
  6. Scaling training programs enterprise-wide
  7. Harmonising AI policies across regions
  8. Managing cross-border AI compliance
  9. Leveraging AI governance for M&A due diligence
  10. Positioning AI governance as a revenue enabler
  11. Marketing ISO 42001 certification externally
  12. Sustaining governance momentum post-implementation

How this maps to your situation

  • Client engagement phase
  • Framework design and documentation
  • Operational rollout
  • Ongoing audit and improvement

Before vs. after

Before
AI governance feels ad hoc, hard to scale, and difficult to justify financially in client proposals.
After
You can structure, price, and deliver ISO 42001-aligned AI governance as a repeatable, high-margin advisory product.

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 12 weeks, designed for busy consultants to complete on their own schedule.

If nothing changes
Without a structured framework, AI governance remains a cost center. Competitors who adopt ISO 42001 will differentiate their offerings, close larger deals, and set pricing benchmarks you’ll have to follow.

How this compares to the alternatives

Unlike generic AI ethics courses, this program focuses on implementable ISO 42001 controls. Compared to off-the-shelf compliance training, it’s tailored to supply chain consultants selling into industrial clients.

Frequently asked

How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this relevant for non-technical consultants?
Yes, it focuses on governance structure, client delivery, and commercial positioning, not coding or data science.
Will I be able to use this with clients immediately?
Yes. Each module includes client-ready templates and real-world application examples.
$199 one-time. Approximately 90 minutes per week over 12 weeks, designed for busy consultants to complete on their own schedule..

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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