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DAT3189 Mastering ISO 42001 for Facilities Leaders in High-Efficiency Environments

$199.00
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A tailored course, built for your situation

Mastering ISO 42001 for Facilities Leaders in High-Efficiency Environments

Build AI governance systems that align with global standards and scale with your operational tempo

$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.
AI governance is slowing down deployment cycles

The situation this course is for

Teams are stuck in loops of revision because policies don’t translate cleanly into working systems. Audits reveal gaps not in intent, but in execution speed and artefact completeness.

Who this is for

Facilities leaders in large IT services firms driving digital transformation under efficiency mandates

Who this is not for

Junior coordinators or admins relying on top-down direction; those not involved in AI or governance rollout decisions

What you walk away with

  • Turn AI governance policy into a complete Statement of Applicability in under 10 days
  • Reduce review cycles by 50% with pre-structured control templates
  • Deploy ISO 42001-aligned AI controls without back-and-forth with compliance teams
  • Own end-to-end delivery of AI governance artefacts from kickoff to sign-off
  • Ship first internal AI SoA faster than peer teams

The 12 modules (with all 144 chapters)

Module 1. Understanding ISO 42001 Scope and AI Governance Boundaries
Define what systems and decisions fall under ISO 42001 based on facility type, data flow, and AI use case. Clarify boundaries to prevent scope creep and speed up audit readiness.
12 chapters in this module
  1. AI system classification
  2. Facility-level controls
  3. Scope mapping
  4. Exclusion justification
  5. Stakeholder alignment
  6. Boundary documentation
  7. Control applicability
  8. Risk-based scoping
  9. Cross-domain mapping
  10. SoA foundation
  11. Version tracking
  12. Audit trail setup
Module 2. Building the Initial Statement of Applicability
Create a complete first draft of the SoA using pre-validated assumptions and templates tied to common AI workloads in facilities environments.
12 chapters in this module
  1. Control selection logic
  2. Default inclusions
  3. Exclusion criteria
  4. Rationale drafting
  5. AI-specific controls
  6. Mapping to ISO clauses
  7. Template customization
  8. Version control
  9. Peer review setup
  10. Compliance alignment
  11. Gap tracking
  12. Iteration planning
Module 3. AI Risk Assessment for Facilities Infrastructure
Conduct fast, accurate AI risk assessments anchored to physical environments, uptime requirements, and service-level agreements.
12 chapters in this module
  1. Threat modelling
  2. AI failure modes
  3. Facility dependencies
  4. Uptime impact
  5. Data sensitivity
  6. Third-party AI vendors
  7. Incident likelihood
  8. Risk scoring
  9. Mitigation planning
  10. Residual risk
  11. Documentation standards
  12. Review cadence
Module 4. Control Mapping to Operational Policies
Link ISO 42001 controls directly to existing facilities management policies for faster implementation and audit consistency.
12 chapters in this module
  1. Policy alignment
  2. Control integration
  3. Process documentation
  4. Role mapping
  5. Monitoring methods
  6. Evidence collection
  7. Update procedures
  8. Cross-reference logs
  9. Compliance checks
  10. Review triggers
  11. Version sync
  12. Audit preparation
Module 5. Developing AI Governance Playbooks
Turn compliance requirements into step-by-step operational playbooks for AI deployment, monitoring, and incident response.
12 chapters in this module
  1. Response workflows
  2. AI monitoring
  3. Alert protocols
  4. Escalation paths
  5. Playbook access
  6. Update process
  7. Training integration
  8. Drill scheduling
  9. Compliance tracking
  10. Version control
  11. Stakeholder roles
  12. Audit evidence
Module 6. Internal Audit Preparation for AI Systems
Prepare for internal audits with structured documentation, evidence trails, and pre-emptive gap resolution.
12 chapters in this module
  1. Audit scope
  2. Checklist creation
  3. Evidence bundles
  4. Pre-audit review
  5. Gap logging
  6. Remediation tracking
  7. Timeline planning
  8. Stakeholder comms
  9. Status reporting
  10. Follow-up process
  11. Documentation standards
  12. Audit simulation
Module 7. Third-Party AI Vendor Oversight
Implement standardised review processes for AI vendors used in facilities operations, ensuring ISO 42001 alignment.
12 chapters in this module
  1. Vendor onboarding
  2. Compliance questionnaires
  3. Control validation
  4. Contract alignment
  5. Audit rights
  6. Performance monitoring
  7. Incident reporting
  8. Risk reassessment
  9. Exit planning
  10. Documentation
  11. Review frequency
  12. Escalation protocols
Module 8. AI Asset Inventory and Lifecycle Management
Establish and maintain a dynamic inventory of AI systems used in facilities environments with lifecycle tracking.
12 chapters in this module
  1. Asset identification
  2. Classification schema
  3. Lifecycle stages
  4. Ownership assignment
  5. Update tracking
  6. Decommissioning
  7. Compliance checks
  8. Risk tagging
  9. Integration points
  10. Audit trail
  11. Version history
  12. Status reporting
Module 9. Incident Management for AI Failures
Build incident response capability tailored to AI system failures in physical infrastructure environments.
12 chapters in this module
  1. Failure detection
  2. Alert triage
  3. Response coordination
  4. Facility impact
  5. Root cause analysis
  6. Escalation rules
  7. Comms protocol
  8. Post-mortem
  9. Remediation tracking
  10. Pattern analysis
  11. Control updates
  12. Reporting
Module 10. Continuous Improvement in AI Governance
Institutionalise feedback loops and improvement cycles that keep AI governance current without heavy rework.
12 chapters in this module
  1. Feedback collection
  2. Review cadence
  3. Change triggers
  4. Improvement backlog
  5. Prioritisation
  6. Implementation
  7. Impact tracking
  8. Stakeholder comms
  9. Documentation
  10. Audit linkage
  11. Trend analysis
  12. Version updates
Module 11. Training and Awareness for AI Governance
Develop targeted training plans to ensure team-wide understanding and adherence to AI governance standards.
12 chapters in this module
  1. Role-based training
  2. Content development
  3. Delivery format
  4. Schedule planning
  5. Engagement tracking
  6. Knowledge checks
  7. Feedback loop
  8. Update process
  9. Compliance proof
  10. Session logs
  11. Awareness metrics
  12. Refresher timing
Module 12. Sustaining ISO 42001 Compliance Over Time
Build systems to maintain compliance year after year with minimal disruption to operations.
12 chapters in this module
  1. Monitoring schedule
  2. Control review
  3. Evidence updates
  4. Change management
  5. Leadership comms
  6. Audit prep
  7. Documentation upkeep
  8. Team handover
  9. Policy review
  10. Risk reassessment
  11. Compliance dashboards
  12. Long-term roadmap

How this maps to your situation

  • AI rollout planning
  • Internal audit cycle
  • Vendor onboarding
  • Incident response

Before vs. after

Before
Spending weeks assembling AI governance artefacts with back-and-forth revisions and audit delays.
After
Shipping complete ISO 42001-aligned AI governance packages in days, with no rework.

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 6 hours per week over 3 weeks to complete core modules and build your first artefact.

If nothing changes
Without a structured method, AI governance remains slow, reactive, and prone to audit findings, delaying digital initiatives and increasing scrutiny.

How this compares to the alternatives

Unlike generic compliance courses, this program is designed specifically for facilities leaders implementing AI governance under efficiency pressure, and delivers a working Statement of Applicability in under 10 days.

Frequently asked

Is this course relevant for non-technical facilities managers?
Yes. It focuses on governance structure, decision ownership, and artefact delivery, not technical configuration. The templates and playbooks are designed for operational use.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me pass an ISO 42001 audit?
Yes. You'll build a complete, audit-ready Statement of Applicability and supporting documentation tailored to your environment.
$199 one-time. Approximately 6 hours per week over 3 weeks to complete core modules and build your first artefact..

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