A tailored course, built for your situation
Mastering ISO 42001 for Senior Facilities Leaders in Global Enterprise Operations
Build authoritative command of the AI management standard shaping enterprise governance worldwide
$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.
Frameworks are moving faster than playbooks can be written
The situation this course is for
Senior practitioners are expected to lead on AI governance without clear implementation patterns or standardised control mappings. Teams default to reactive compliance instead of strategic deployment.
Who this is for
Senior operations leader in global enterprise settings, responsible for governance-aligned facility systems and cross-functional standards adoption
Who this is not for
Entry-level auditors, IT generalists, or consultants without enterprise-scale implementation experience
What you walk away with
- Map ISO 42001 clauses directly to facility operations controls
- Build a repeatable gap assessment template for AI system audits
- Lead internal reviews with source-backed rationale for control decisions
- Own the vendor evaluation track for AI-integrated building systems
- Produce a compliant SoA draft in under two weeks
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001 in Physical Operations
Establish core alignment between AI governance clauses and facility management systems. Define scope boundaries for non-IT AI deployments.
12 chapters in this module
- Clause 4.1 context analysis
- Clause 4.2 stakeholder mapping
- AI system boundary definition
- Facility-specific risk appetite
- Operational integration constraints
- Geographic variance planning
- Third-party system inclusion
- Legacy tech interface planning
- Compliance scope exclusion rules
- Internal audit readiness triggers
- Stakeholder communication plan
- Implementation sequencing model
Module 2. Clause 5 Leadership and Accountability Frameworks
Design governance structures that assign clear ownership for AI-enabled facility systems. Align with senior leadership expectations.
12 chapters in this module
- Accountability matrix design
- Leadership commitment evidence
- Oversight meeting cadence
- Decision rights mapping
- Escalation protocols
- Compliance ownership model
- Cross-functional sign-off design
- Audit trail requirements
- Policy update process
- Training integration plan
- Resource allocation rules
- KPI tracking framework
Module 3. Clause 6 Planning: Risk and Opportunity Assessment
Conduct targeted risk assessments for AI in HVAC, security, and access systems. Build repeatable evaluation templates.
12 chapters in this module
- AI risk register setup
- Threat scenario library
- Likelihood scoring model
- Impact dimension definition
- Control effectiveness metrics
- Opportunity identification
- Scenario stress testing
- Third-party risk inclusion
- Legacy system exposure
- Cyber-physical interface risks
- Mitigation roadmap drafting
- Gap closure tracking
Module 4. Clause 7 Support: Resources and Competence
Align team capability with ISO 42001 demands. Build training plans and competence verification mechanisms.
12 chapters in this module
- Competency framework design
- Training needs analysis
- Vendor staff qualification
- Internal mentorship setup
- Knowledge retention plan
- Cross-team collaboration
- Documentation standards
- Language and access rules
- Remote site compliance
- Audit readiness drills
- Skill gap reporting
- Certification tracking
Module 5. Clause 8 Operational Planning and Control
Design control frameworks for AI-driven facility operations. Implement change management for algorithm updates.
12 chapters in this module
- Control implementation matrix
- Change management protocol
- Version control standards
- Algorithm update review
- Emergency override design
- Performance monitoring
- Threshold alerting
- Data quality validation
- Sensor calibration schedule
- Maintenance integration
- Drift detection rules
- Fallback procedures
Module 6. Clause 9 Performance Evaluation
Build audit-ready performance evaluation workflows. Implement continuous monitoring for AI systems.
12 chapters in this module
- Internal audit schedule
- Audit scope definition
- Checklist development
- Evidence collection rules
- Non-conformance tracking
- Corrective action process
- Trend analysis model
- Dashboard design
- Stakeholder reporting
- Management review inputs
- Key metric selection
- Compliance drift alerts
Module 7. Clause 10 Improvement and Corrective Action
Design feedback loops for AI system refinement. Implement root cause analysis for control failures.
12 chapters in this module
- Incident reporting process
- Root cause analysis method
- Corrective action workflow
- Preventive action design
- Trend identification
- System refinement cycle
- Stakeholder feedback loop
- Audit finding resolution
- Lessons learned process
- Process update protocol
- Control enhancement tracking
- Continuous improvement KPIs
Module 8. SoA Development: Statement of Applicability
Build a compliant Statement of Applicability with justification logic for each control.
12 chapters in this module
- Control applicability rules
- Justification framework
- Risk-based exclusion logic
- Documentation standards
- Approval workflow
- Version control model
- Stakeholder alignment
- Audit trail setup
- Cross-reference mapping
- Gap tracking system
- Update cadence
- Distribution protocol
Module 9. Internal Audit Preparation
Prepare for internal audits with targeted evidence collection and response planning.
12 chapters in this module
- Audit scope definition
- Evidence checklist
- Interview preparation
- Documentation review
- Gap identification
- Response drafting
- Follow-up tracking
- Remediation scheduling
- Stakeholder coordination
- Audit communication plan
- Finding severity matrix
- Closure verification
Module 10. Vendor Evaluation and Management
Lead vendor selection and oversight for AI-integrated facility systems.
12 chapters in this module
- Vendor assessment criteria
- RFP integration
- Due diligence process
- Contractual clauses
- Performance monitoring
- Compliance verification
- Audit rights negotiation
- Incident response role
- Data handling rules
- Subprocessor oversight
- Exit planning
- Relationship management
Module 11. Cross-Functional Implementation Roadmap
Design rollout plans integrating facilities, IT, security, and compliance teams.
12 chapters in this module
- Stakeholder alignment
- Communication plan
- Pilot site selection
- Training rollout
- Change management
- Feedback collection
- Iteration planning
- Scale-up criteria
- Resource allocation
- Timeline sequencing
- Milestone tracking
- Success metrics
Module 12. Sustaining Compliance and Continuous Improvement
Build organisational memory and sustain compliance beyond initial audit.
12 chapters in this module
- Knowledge transfer plan
- Documentation maintenance
- Staff rotation rules
- Leadership onboarding
- Policy refresh cycle
- Benchmarking process
- External update tracking
- Training refresh schedule
- Audit preparation rhythm
- Lessons learned archive
- Improvement backlog
- Stakeholder reporting
How this maps to your situation
- Preparing for first internal AI governance audit
- Leading vendor selection for AI-enabled systems
- Designing facility-specific control frameworks
- Sustaining compliance across global sites
Before vs. after
Before
Navigating AI governance with fragmented resources and unclear implementation paths
After
Leading from framework fluency with repeatable artefacts and authoritative command of ISO 42001
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 access.
Time investment: Approximately 3-4 hours per module, designed for completion within 6-8 weeks with real-world artefact delivery at each stage.
If nothing changes
Without structured command of ISO 42001, teams default to reactive compliance, creating inefficiencies and missed leadership opportunities in AI governance.
How this compares to the alternatives
Unlike generic compliance courses, this program delivers facility-operations-specific control mappings, vendor evaluation frameworks, and SoA templates grounded in ISO 42001 implementation patterns from global enterprises.
Frequently asked
Is this course relevant for non-IT AI deployments?
Yes. It focuses specifically on AI systems in facility operations, including HVAC, access control, and security monitoring.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Do I receive templates I can use immediately?
Yes. Each module includes downloadable templates and worked examples for immediate application.
$199 one-time. Approximately 3-4 hours per module, designed for completion within 6-8 weeks with real-world artefact delivery at each stage..
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