A tailored course, built for your situation
Reference of choice on cross-functional ISO 42001 reviews
Become the named authority your peers and stakeholders defer to when AI governance frameworks are evaluated
The situation this course is for
Even senior procurement leaders find themselves reacting to AI governance initiatives rather than shaping them. With ISO 42001 emerging as the benchmark, there's growing separation between those who comply and those who lead. The risk isn't non-conformance, it's irrelevance in conversations that define the future of trustworthy AI.
Who this is for
Strategic procurement leaders in regulated environments who influence vendor governance and compliance outcomes but lack a named framework to anchor their authority
Who this is not for
This is not for administrators managing checklists, junior analysts, or anyone focused solely on cost reduction without governance integration.
What you walk away with
- Lead ISO 42001 vendor assessments with documented evaluation criteria others adopt
- Anticipate auditor questions and structure procurement artifacts to meet them
- Build cross-functional credibility as the practitioner who 'gets' both logistics and AI governance
- Become the default invite, then the expected lead, on AI governance working groups
- Turn procurement from a compliance checkpoint into a strategic influence point
The 12 modules (with all 144 chapters)
- Procurement’s invisible role in AI risk
- From cost center to governance steward
- Mapping ISO 42001 clauses to sourcing decisions
- Vendor lock-in vs. compliance agility
- The procurement audit trail advantage
- Early signal detection in RFP responses
- Scoring AI vendors on governance maturity
- Language that resonates in compliance meetings
- Ownership without overreach
- Documenting decisions for downstream reuse
- Positioning beyond 'cost and delivery'
- Case example: AI-powered logistics platform review
- Clause 8 vs. Clause 9 in vendor scoring
- Human oversight requirements in logistics AI
- Transparency demands in algorithmic decisioning
- Bias mitigation as a procurement filter
- Data quality thresholds for training sets
- Explainability expectations in SLAs
- Security in AI model updates
- Lifecycle management clauses
- Right to audit vs. right to inspect
- Liability for third-party model drift
- Fallback mechanisms in uptime guarantees
- Case example: Autonomous warehouse routing system
- Baseline templates for AI vendor intake
- Customizing for high-risk vs. general-purpose AI
- Rapid triage using ISO 42001 scope
- Stakeholder alignment checklist
- Documenting governance assumptions
- Risk-based questioning hierarchy
- First-round disqualifiers
- Weighting criteria for scoring
- Tracking decision rationale
- Peer review integration
- Updating playbooks with audit findings
- Case example: Predictive maintenance AI
- Embedding ISO 42001 references in RFPs
- Contractual right to observe model reviews
- Penalties for undocumented updates
- Version control in AI-as-a-Service
- Audit trail requirements for AI decisions
- Right to access training data summaries
- Documentation of human-in-the-loop compliance
- Performance metrics tied to fairness
- Incident response roles in contracts
- Exit clauses for non-compliance
- Updating SLAs for AI drift
- Case example: AI-powered freight routing
- Aligning procurement with legal risk appetite
- Translating audit findings to sourcing teams
- Facilitating joint risk workshops
- Common ground in AI ethics debates
- Procurement’s role in due diligence timing
- Managing tension between speed and rigor
- Building trust with data protection officers
- Escalation paths for vendor non-compliance
- Cross-functional scoring rubrics
- Synchronizing renewal cycles with audits
- Shared dashboards for governance status
- Case example: Inter-departmental AI oversight
- Vendor due diligence timing expectations
- Evidence of human oversight implementation
- Documenting bias testing results
- Transparency in decision logic
- Right to explanation clauses
- Fallback mechanisms in contracts
- Model update approval workflows
- Incident logging requirements
- Training data provenance tracking
- Bias monitoring frequency commitments
- Handling model drift documentation
- Case example: Audit prep for AI-driven logistics
- Speaking the language of standards bodies
- Sharing templates across departments
- Volunteering for complex vendor reviews
- Documenting decisions for reuse
- Credibility through consistency
- Owning the vendor governance FAQ
- Presenting findings to compliance leads
- Writing internal white papers
- Mentoring junior staff in AI clauses
- Being cited in audit reports
- Recognition beyond titles
- Case example: Internal promotion post-audit
- Joint compliance roadmaps
- Shared documentation platforms
- Early access to model updates
- Co-developed bias testing
- Transparency scorecards
- Annual governance reviews
- Incentives for compliance overruns
- Roadmap alignment sessions
- Escalation protocols for drift
- Vendor self-assessment templates
- Mutual audit readiness
- Case example: Long-term AI logistics partner
- Governance tagging in procurement systems
- Categorizing AI risk by function
- Automated alerts for high-risk vendors
- Template library for RFP clauses
- Vendor governance dashboard
- Cross-departmental onboarding
- Standardizing evaluation timelines
- Centralized decision repositories
- Lessons learned from failed bids
- Benchmarking against peer firms
- Updating templates quarterly
- Case example: Enterprise-wide AI procurement
- Monitoring EU AI Act developments
- Preparing for U.S. federal AI guidance
- Adapting to new ISO supplements
- Global consistency in vendor scoring
- Cultural differences in AI ethics
- Emerging third-party certification schemes
- Climate impact of AI models
- Energy efficiency in AI logistics
- AI labor displacement clauses
- Responsible exit strategies
- Long-term AI vendor sustainability
- Case example: Global AI procurement strategy
- Reduction in audit findings
- Time saved in vendor onboarding
- Cost avoidance from early disqualifiers
- Increased win rate on high-compliance bids
- Stakeholder satisfaction scores
- Number of cross-functional invites
- Citations in internal reports
- Peer recognition metrics
- Leadership visibility
- Promotion velocity
- Retention of high-compliance vendors
- Case example: Governance impact dashboard
- Mentoring the next generation
- Documenting institutional knowledge
- Updating playbooks with new hires
- Presenting at industry events
- Publishing procurement insights
- Advising on future standards
- Building cross-company networks
- Recognition beyond the firm
- Balancing oversight with agility
- Avoiding governance fatigue
- Staying relevant post-certification
- Case example: Post-certification influence
How this maps to your situation
- When your team starts evaluating AI vendors
- Before the first internal audit review
- During vendor contract renewal cycles
- After a regulatory change announcement
Before vs. after
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 to be completed at your pace over 6-8 weeks.
How this compares to the alternatives
Unlike generic AI ethics courses, this program focuses on procurement-specific implementation of ISO 42001, with templates and playbooks used by practitioners in regulated logistics environments.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.