A tailored course, built for your situation
Mastering ISO 42001 for Operations Leaders in Global Logistics
A structured path to owning AI governance in high-impact operational environments
$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.
Most operational teams inherit AI compliance frameworks, Paul’s course flips that: you own the design, the rollout, and the outcomes
The situation this course is for
Without early command of ISO 42001, ops leaders risk being sidelined in AI rollouts, forced to adapt to systems they didn’t shape and can’t optimize
Who this is for
Operations leader in global logistics or transport with influence over process controls and emerging AI integration
Who this is not for
Individuals seeking entry-level overviews of AI ethics or theoretical frameworks without implementation paths
What you walk away with
- Own end-to-end ISO 42001 implementation in operational environments
- Build repeatable compliance artefacts that reduce audit prep time by 50%
- Lead vendor assessments with structured evaluation templates
- Produce a living Statement of Applicability (SoA) with version-controlled updates
- Gain recognition as the internal go-to for AI governance beyond IT
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001 in Operational Contexts
Establish the core principles of ISO 42001 with a focus on logistics and process-driven environments, identifying where AI intersects with safety, routing, and dispatch decisions.
12 chapters in this module
- What ISO 42001 solves in operations
- AI governance vs. AI ethics
- Mapping AI use cases to control objectives
- Key stakeholders in ops-driven AI
- Regulatory alignment beyond GDPR
- How ISO 42001 complements ISO 27001
- Operational risk domains covered
- Preventing AI drift in fleet systems
- Vendor AI vs. custom-built models
- Establishing AI risk tolerance
- Defining 'high impact' for logistics
- Documentation expectations
Module 2. Leadership Commitment and Governance Setup
Structure leadership engagement and define accountabilities specific to AI systems in transportation and dispatch workflows.
12 chapters in this module
- Securing executive sponsorship
- Forming the AI governance committee
- Assigning AI roles and responsibilities
- Integrating with existing ops teams
- Documenting governance scope
- Cadence for AI risk reviews
- Linking to ESG reporting
- Budgeting for AI compliance
- Defining AI oversight boundaries
- Escalation paths for non-compliance
- Training plan for frontline managers
- Maintaining leadership visibility
Module 3. AI Risk Assessment Framework
Deploy a standardized method for evaluating AI risks across routing, dispatch, tracking, and exception handling.
12 chapters in this module
- Identifying AI-impacted processes
- Classifying AI system types
- Threat modeling for AI failures
- Impact scoring for safety risks
- Data quality risk factors
- Human override requirements
- Third-party AI risk sources
- Scenario-based risk testing
- Risk register structure
- Automated vs. manual controls
- Risk acceptance criteria
- Updating assessments quarterly
Module 4. Statement of Applicability (SoA) Development
Build a living SoA tailored to logistics AI systems with version control and cross-functional input.
12 chapters in this module
- Extracting controls from ISO 42001 Annex A
- Customizing control applicability
- Documenting justification for exclusions
- Version control for SoA updates
- SoA sign-off workflow
- Linking SoA to audit evidence
- Integrating with SOC 2 reporting
- Sharing SoA with vendors
- Automating SoA updates
- SoA vs. control mapping
- Storing SoA in document systems
- Training teams on SoA use
Module 5. AI System Documentation Standards
Establish documentation practices for AI models in routing, tracking, and exception systems.
12 chapters in this module
- Required documentation list
- Model purpose and scope
- Data lineage for AI inputs
- Training data provenance
- Model performance metrics
- Human oversight mechanisms
- Incident response for AI errors
- Version history tracking
- API documentation for AI services
- Audit trail requirements
- Update and rollback protocols
- Decommissioning AI systems
Module 6. Vendor AI Oversight and Procurement
Lead procurement reviews with structured checklists and vendor evaluation criteria aligned with ISO 42001.
12 chapters in this module
- Pre-qualification for AI vendors
- Reviewing vendor ISO 42001 claims
- SLA requirements for AI services
- Right-to-audit clauses
- Third-party assessment sharing
- AI model transparency expectations
- Data handling in vendor systems
- Incident notification timelines
- Penalty structures for non-compliance
- Benchmarking vendor maturity
- Managing multi-vendor AI stacks
- Exit strategies for underperforming AI
Module 7. Human-AI Collaboration Design
Design workflows where human operators oversee and intervene in AI-driven dispatch and routing decisions.
12 chapters in this module
- Defining human-in-the-loop roles
- Alerting thresholds for intervention
- Override authority protocols
- Training for AI-handling skills
- Shift handover for AI systems
- Feedback loops into AI models
- Bias detection by operators
- Audit trails for human actions
- Stress-testing AI under load
- Documentation of override events
- Reviewing AI performance trends
- Rewarding proactive oversight
Module 8. AI Incident Management
Implement a response plan for AI errors, outages, and unintended behaviors in operational systems.
12 chapters in this module
- Defining AI incident types
- Detection and alerting systems
- Tiered incident response
- Escalation to governance committee
- Root cause analysis for AI
- Communicating with stakeholders
- Regulator reporting triggers
- Corrective action tracking
- Post-mortem documentation
- Model retraining workflows
- Updating controls after incidents
- Lessons learned dissemination
Module 9. Monitoring and Performance Review
Set KPIs and dashboards for AI system performance and compliance adherence in logistics operations.
12 chapters in this module
- KPIs for AI accuracy
- Monitoring model drift
- Tracking human override rates
- Uptime for AI services
- Compliance control testing
- Automated control monitoring
- Audit readiness metrics
- Supplier performance reviews
- Benchmarking against peers
- Review meeting cadence
- Reporting to leadership
- Adjusting thresholds dynamically
Module 10. Internal Audit and Continuous Improvement
Conduct audits of AI governance processes and drive iterative enhancements.
12 chapters in this module
- Audit planning for AI systems
- Sampling AI control execution
- Reviewing documentation completeness
- Testing incident response
- Evaluating vendor compliance
- Assessing human oversight
- Audit report structure
- Tracking findings to closure
- Continuous improvement cycle
- Benchmarking audit maturity
- Preparing for external audits
- Audit tool integration
Module 11. Preparing for External Certification
Navigate the ISO 42001 certification process with confidence and minimal disruption.
12 chapters in this module
- Choosing a certification body
- Pre-certification gap assessment
- Stage 1 audit preparation
- Evidence collection strategy
- Interview readiness for auditors
- Addressing auditor findings
- Corrective action timelines
- Certification decision review
- Post-certification surveillance
- Maintaining certification
- Marketing certified status
- Recertification planning
Module 12. Sustaining AI Governance at Scale
Embed ISO 42001 practices into ongoing operations and new technology rollouts.
12 chapters in this module
- Onboarding new AI systems
- Change management for AI
- Training for new hires
- Knowledge transfer protocols
- Updating governance with growth
- Handling M&A integrations
- Extending to subsidiaries
- AI governance in new regions
- Future-proofing for AI regulation
- Leveraging certification for bids
- Sharing best practices externally
- Next-generation control planning
How this maps to your situation
- Implementing ISO 42001 in global logistics operations
- Leading vendor AI procurement with confidence
- Responding to regulator inquiries with full documentation
- Scaling AI governance across expanding fleets and routes
Before vs. after
Before
Inheriting AI compliance frameworks and reacting to audits
After
Leading ISO 42001 implementations and choosing high-impact engagements
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 3-4 hours per module, designed for completion within 12 weeks with weekly pacing.
If nothing changes
Remaining a passive recipient of AI governance mandates risks exclusion from strategic decisions, reduced influence on vendor contracts, and missed opportunities to shape systems that define your operational future.
How this compares to the alternatives
Unlike generic compliance courses, this program is built for operational leaders who must implement ISO 42001 in real-world logistics environments , with templates, playbooks, and decision paths you can deploy immediately.
Frequently asked
Is this course suitable for non-technical operations managers?
Yes , it’s designed for leaders who oversee AI systems but don’t need to code or train models. Focus is on governance, oversight, and decision rights.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive a certificate upon completion?
Yes , a digital certificate of completion is issued after finishing all modules and a final assessment.
$199 one-time. Approximately 3-4 hours per module, designed for completion within 12 weeks with weekly pacing..
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