A tailored course, built for your situation
Influence across more business units with ISO 42001
Build authority in AI governance through structured, enterprise-wide implementation
$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.
Who this is for
Senior technical advisor in a global IT services firm, embedded in software development governance and AI system architecture, influencing cross-functional standards without direct authority over business units.
Who this is not for
Entry-level developers, auditors focused only on checklist compliance, or practitioners outside of AI/software governance roles.
What you walk away with
- Lead ISO 42001 implementation efforts that span multiple business units
- Serve as the internal reference for AI governance consistency across regions
- Design repeatable control frameworks that scale across product teams
- Shape vendor assessment criteria using ISO 42001 benchmarks
- Present unified compliance narratives to leadership from development-level evidence
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 scope and applicability
Define where ISO 42001 applies across AI systems and software development lifecycles.
12 chapters in this module
- What ISO 42001 governs in AI systems
- Core principles of AI management systems
- Relationship to other ISO standards
- Alignment with software development phases
- Organizational roles in AI governance
- Boundaries of AI system context
- Scope definition for multi-unit rollout
- Identifying AI system stakeholders
- Documentation requirements overview
- Controlled vs uncontrolled AI environments
- Integration with change management
- Preparing for internal audits
Module 2. Establishing leadership commitment
Engage decision-makers and secure support for AI governance initiatives.
12 chapters in this module
- Defining leadership responsibilities
- Securing executive sponsorship
- Creating AI governance policies
- Assigning accountabilities
- Incorporating AI ethics statements
- Setting governance KPIs
- Communicating policy cross-functionally
- Documenting decision rights
- Tracking leadership engagement
- Maintaining governance visibility
- Updating policy with feedback
- Linking to corporate strategy
Module 3. Planning the AI management system
Design the structure and requirements for implementing ISO 42001 across teams.
12 chapters in this module
- Risk-based thinking in AI planning
- Identifying AI-related risks
- Opportunity assessment framework
- Legal and regulatory mapping
- Stakeholder expectation analysis
- AI system lifecycle planning
- Resource allocation models
- Integration with SDLC
- Setting measurable objectives
- Change control procedures
- Vendor AI oversight planning
- Documentation hierarchy setup
Module 4. Supporting AI governance operations
Build the infrastructure to sustain AI governance across departments.
12 chapters in this module
- Competency frameworks for AI roles
- Training needs identification
- Internal communication strategy
- Document control systems
- Managing proprietary algorithms
- Data quality assurance methods
- AI model version control
- Change request workflows
- Knowledge retention planning
- Third-party collaboration rules
- Cybersecurity integration
- Performance monitoring setup
Module 5. Operational controls for AI systems
Implement specific controls to ensure AI systems comply with ISO 42001.
12 chapters in this module
- AI system design controls
- Development environment hardening
- Model validation procedures
- Bias detection protocols
- Transparency requirements
- Human oversight mechanisms
- Output monitoring systems
- Incident reporting structure
- Drift detection implementation
- Model retraining triggers
- Fallback system design
- User feedback integration
Module 6. Ensuring accountability in AI decisions
Establish clear ownership and traceability in AI-driven outcomes.
12 chapters in this module
- Decision logging standards
- Audit trail requirements
- Role-based access control
- AI justification documentation
- Review and approval workflows
- Escalation paths for disputes
- Ethical review board setup
- Complaint handling process
- Model impact assessments
- Bias mitigation tracking
- Stakeholder consultation records
- Accountability reporting formats
Module 7. Evaluating AI system performance
Measure effectiveness and compliance of AI systems over time.
12 chapters in this module
- Defining AI performance metrics
- Monitoring model accuracy
- User satisfaction measurement
- Compliance audit scheduling
- Internal assessment protocols
- Corrective action initiation
- Trend analysis of AI outputs
- Benchmarking against peers
- Updating performance targets
- Reporting to governance bodies
- Continuous improvement loops
- Lessons learned documentation
Module 8. Auditing AI management systems
Conduct internal audits to validate ISO 42001 compliance.
12 chapters in this module
- Audit planning and scheduling
- Checklist development for AI
- Sampling methods for AI models
- Evidence collection techniques
- Interview protocols for developers
- Vulnerability scanning integration
- Gap analysis methodology
- Reporting audit findings
- Prioritizing corrective actions
- Follow-up verification process
- Audit independence requirements
- Audit record retention
Module 9. Improving AI governance maturity
Refine and scale AI governance practices across the organization.
12 chapters in this module
- Identifying improvement opportunities
- Root cause analysis methods
- Feedback collection mechanisms
- Process optimization techniques
- Lessons learned integration
- Benchmarking governance maturity
- Adopting new AI standards
- Scaling governance to new units
- Updating AI policies regularly
- Knowledge sharing frameworks
- Governance metric refinement
- Recognition for compliance excellence
Module 10. Integrating ISO 42001 with development workflows
Embed governance into day-to-day software delivery processes.
12 chapters in this module
- CI CD pipeline integration
- Automated compliance checks
- Policy as code implementation
- Infrastructure as code controls
- Version-controlled documentation
- Peer review enhancements
- Code annotation standards
- Sprint planning alignment
- QA testing for AI compliance
- Model deployment gates
- Rollback procedures
- Post-deployment monitoring
Module 11. Managing third-party AI components
Ensure external AI tools and services meet ISO 42001 standards.
12 chapters in this module
- Vendor selection criteria
- Contractual compliance terms
- Due diligence checklists
- API security assessment
- Model transparency requirements
- Data handling SLAs
- Third-party audit rights
- Subcontractor oversight
- Incident response coordination
- Exit strategy planning
- License compliance tracking
- Vendor performance reviews
Module 12. Scaling governance across global teams
Extend ISO 42001 implementation to multiple regions and business lines.
12 chapters in this module
- Regional adaptation strategies
- Centralized vs decentralized models
- Cross-border data flow rules
- Language and localization issues
- Cultural considerations in governance
- Time zone coordination methods
- Global audit consistency
- Local legal integration
- Knowledge transfer protocols
- Central governance dashboard
- Regional champion networks
- Standardized reporting formats
How this maps to your situation
- Preparing for ISO 42001 certification
- Rolling out AI governance across teams
- Responding to internal audit findings
- Onboarding third-party AI vendors
Before vs. after
Before
AI governance is applied inconsistently across teams, with limited influence beyond immediate projects.
After
You lead ISO 42001 adoption across multiple units, setting standards that shape AI development enterprise-wide.
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 45 minutes per module, designed to fit within weekly planning cycles over 12 weeks.
How this compares to the alternatives
Unlike generic compliance courses, this program focuses specifically on ISO 42001 implementation in software development and multi-unit environments, with templates tailored to global IT services firms.
Frequently asked
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this relevant for someone in a technical advisory role?
Yes, it’s designed for advisors influencing governance and architecture decisions across teams.
Can I apply this to existing AI projects?
Yes, each module includes templates to retrofit ISO 42001 controls into active development workflows.
$199 one-time. Approximately 45 minutes per module, designed to fit within weekly planning cycles over 12 weeks..
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