A tailored course, built for your situation
Mastering ISO 42001 for ESG and Human Capital Leaders
Deliver AI governance frameworks faster, with repeatable artefacts aligned to global standards
$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.
Stalled AI governance cycles due to fragmented stakeholder input and unclear documentation paths
The situation this course is for
Teams waste months aligning on AI governance scope, only to deliver documentation that requires rework. Without a structured, standard-aligned process, even strong intent collapses under review cycles.
Who this is for
Senior ESG or sustainability leader with cross-functional influence, accountable for human capital and information security governance artefacts
Who this is not for
Individuals seeking entry-level compliance training or technical AI model auditing roles
What you walk away with
- Produce ISO 42001-compliant documentation in half the time using templated workflows
- Confidently lead cross-functional alignment on AI governance scope without escalation
- Deploy a living SoA (Statement of Applicability) that survives leadership changes
- Reduce rework cycles by anchoring stakeholder input to ISO 42001 control clauses
- Accelerate external audit readiness with pre-mapped evidence trails
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001 in ESG and Human Capital
Establish core terminology, scope boundaries, and governance linkage for AI systems under ISO 42001, tailored to ESG reporting and workforce data frameworks.
12 chapters in this module
- What ISO 42001 adds to existing ESG reporting
- AI governance vs AI ethics: scope clarity
- Human Capital data in AI risk assessments
- Mapping AI use cases to organizational values
- Integrating ISO 42001 with ESG disclosure timelines
- Defining organizational context for AI
- Stakeholder identification for AI governance
- Risk tolerance thresholds for HR-facing AI
- Documenting AI asset inventory
- Linking AI governance to DEI initiatives
- Controlled vocabulary for cross-functional teams
- Version control for policy drafts
Module 2. Leadership Accountability and Policy Formation
Translate executive intent into enforceable AI governance policies with defined ownership, escalation paths, and review cadence.
12 chapters in this module
- Board-level messaging vs operational policy
- Signing authority on AI use policies
- Policy exception workflows
- AI governance charter drafting
- Leadership training on AI accountability
- Documenting decision rights
- Aligning AI policy with code of conduct
- Review cycle timing and triggers
- Version control for policy documents
- Cross-functional policy validation
- Escalation paths for policy breaches
- AI policy communication plan
Module 3. Organizational Context and AI Risk Assessment
Conduct targeted risk assessments that reflect your organization's ESG commitments and workforce structure.
12 chapters in this module
- Scoping AI systems by impact level
- Workforce data sensitivity classification
- AI use cases in recruitment and retention
- Third-party AI vendor risk
- Identifying high-risk AI decision points
- ESG-aligned risk criteria
- Stakeholder risk input sessions
- Documenting risk treatment plans
- Risk register formatting
- Risk ownership assignment
- Risk tolerance documentation
- Risk reassessment cadence
Module 4. Control Objectives and Statement of Applicability
Build a defensible, living SoA that aligns with internal ESG goals and external regulatory expectations.
12 chapters in this module
- Control selection rationale
- Justifying control exclusions
- SoA formatting standards
- Cross-referencing controls to policies
- Version-controlled SoA updates
- Internal audit preview process
- SoA sign-off workflow
- Stakeholder review timing
- SoA storage and access control
- Linking SoA to training records
- SoA integration with incident response
- Automated SoA change tracking
Module 5. AI Risk Treatment Planning
Develop action plans that close control gaps efficiently, with clear ownership and milestone tracking.
12 chapters in this module
- Prioritizing control gaps by impact
- Assigning risk treatment owners
- Timeline planning for remediation
- Evidence collection standards
- Third-party assessment coordination
- Internal validation checkpoints
- Risk treatment budgeting
- Progress reporting templates
- Cross-functional alignment tactics
- Documenting treatment outcomes
- Escalation for stalled treatments
- Closure criteria for risk items
Module 6. Information Security in AI Systems
Implement security controls specific to AI data flows, model access, and inference outputs.
12 chapters in this module
- Data classification in AI pipelines
- Access control for model training
- Model version integrity checks
- Monitoring for data drift
- Secure model deployment
- Encryption standards for AI outputs
- Incident response for AI failures
- Audit logging for AI decisions
- Penetration testing scope
- Vendor security assessments
- Security training for AI teams
- Breach notification alignment
Module 7. Human-Centric AI Design and Monitoring
Ensure AI systems respect human oversight, fairness, and recourse , critical for ESG and Human Capital contexts.
12 chapters in this module
- Human-in-the-loop requirements
- Bias detection in hiring models
- Performance monitoring thresholds
- Employee recourse mechanisms
- Transparency in AI decision-making
- Right to explanation implementation
- Human review escalation paths
- AI impact assessments
- Workforce feedback integration
- Model fairness metrics
- Bias mitigation playbooks
- Documentation of human oversight
Module 8. Compliance and Audit Readiness
Prepare for internal and external audits with pre-built evidence trails and standardized responses.
12 chapters in this module
- Audit scope definition
- Evidence collection checklist
- Internal audit dry runs
- Corrective action tracking
- Audit communication protocols
- Evidence storage standards
- Audit trail completeness
- Cross-functional audit prep
- Auditor Q&A preparation
- Post-audit follow-up process
- Audit finding severity levels
- Re-audit scheduling
Module 9. Training and Awareness Programs
Roll out role-based training that drives behavioral change and policy adherence across functions.
12 chapters in this module
- Training needs assessment
- Role-specific curriculum design
- Delivery format selection
- Training frequency schedules
- Attendance tracking
- Knowledge validation testing
- Refresher timing
- Leadership training modules
- Third-party training alignment
- Training record retention
- Effectiveness measurement
- Feedback loop integration
Module 10. Continuous Improvement and Management Review
Establish review cycles that drive ongoing refinement of AI governance without creating burden.
12 chapters in this module
- Management review meeting cadence
- Review agenda templates
- Performance metric selection
- Trend analysis of audit findings
- Stakeholder satisfaction input
- Policy effectiveness assessment
- Resource needs evaluation
- Risk landscape updates
- Benchmarking against peers
- Improvement initiative tracking
- Change request integration
- Review meeting minutes standards
Module 11. Third-Party and Vendor Governance
Extend ISO 42001 controls to vendors and partners using AI systems that touch your data.
12 chapters in this module
- Vendor risk classification
- Contractual control clauses
- Due diligence checklists
- Vendor audit rights
- Subprocessor oversight
- Data processing agreements
- Vendor performance monitoring
- Third-party certification review
- Vendor incident response
- Exit planning for AI vendors
- Vendor training requirements
- Ongoing vendor assessment
Module 12. Implementation Playbook Integration
Adapt the hand-built implementation playbook to your organization’s ESG and Human Capital priorities.
12 chapters in this module
- Playbook customization steps
- Stakeholder onboarding
- Pilot program design
- Change management messaging
- Executive update templates
- Progress dashboard setup
- KPI tracking
- Lessons learned documentation
- Scaling beyond pilot
- Sustaining governance momentum
- Version update process
- External benchmarking
How this maps to your situation
- Aligning AI governance with ESG reporting cycles
- Reducing rework in cross-functional policy rollouts
- Accelerating audit readiness for human capital systems
- Defending control scope to external assessors
Before vs. after
Before
Months-long cycles to draft and align on AI governance documentation, with frequent rework and stakeholder misalignment
After
Repeatable, ISO 42001-aligned artefacts produced in weeks, with stakeholder buy-in built into the process
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 hours per module, designed for completion in 6-8 weeks with real-world application.
If nothing changes
Without a structured approach, AI governance efforts remain slow, reactive, and prone to rework , increasing exposure to regulatory scrutiny and internal friction.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to ESG and Human Capital leads, with ISO 42001-specific workflows and artefacts that reflect real-world audit expectations.
Frequently asked
Is this course technical or strategic?
Strategic, for practitioners leading cross-functional governance. No coding required.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I use this for external audits?
Yes. The templates and playbook are designed to support ISO 42001 certification efforts.
$199 one-time. Approximately 3 hours per module, designed for completion in 6-8 weeks with real-world application..
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