A tailored course, built for your situation
Mastering ISO 42001 for Technology Architects in AI Governance
From policy intent to working AI governance artefact in record time
$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.
Reduce the time from ISO 42001 policy decisions to deployable controls by 60-70% with a proven implementation sequence
The situation this course is for
Even strong AI governance teams stall between framework adoption and working implementation. The gap isn’t intent, it’s process.
Who this is for
Technology Architects in global systems integrators who own AI governance implementation and need to deliver compliant, auditable artefacts rapidly
Who this is not for
Entry-level consultants, strategy-only roles, or leadership without hands-on implementation responsibility
What you walk away with
- Produce a fully mapped ISO 42001 control register in under 10 days
- Generate ready-to-audit SoA (Statement of Applicability) with rationale for each control
- Cut review cycles by using pre-structured evidence templates tied to ISO 42001 clauses
- Deploy AI governance controls in parallel with model development sprints
- Re-use modular implementation assets across clients and sectors
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 Scope and Boundaries
Define the AI system boundaries and organisational context for ISO 42001 with precision, avoiding over-scope that delays implementation.
12 chapters in this module
- Context mapping
- AI system scoping
- Stakeholder identification
- Exclusion rationale
- Boundary documentation
- Use case alignment
- Regulatory linkage
- Organisational roles
- Data flow sketch
- Toolchain fit
- Version control setup
- Approval workflow
Module 2. Leadership Commitment and Policy Drafting
Translate executive intent into actionable AI governance policy language that satisfies ISO 42001 requirements and development team needs.
12 chapters in this module
- Top management engagement
- Policy statement structure
- AI risk appetite
- Delegation framework
- Policy versioning
- Internal communication plan
- Leadership sign-off
- Policy review cycle
- Integration with data governance
- Policy exceptions
- Policy enforcement triggers
- Audit trail setup
Module 3. Risk Assessment Methodology Setup
Implement a rapid, repeatable AI risk assessment process aligned with ISO 42001 clause 6.1, tailored for agile environments.
12 chapters in this module
- Risk criteria definition
- Threat modeling for AI
- Asset inventory
- Vulnerability mapping
- Impact scoring
- Likelihood calibration
- Risk register structure
- Automated risk input
- Risk treatment options
- Residual risk assessment
- Risk acceptance workflow
- Reporting rhythm
Module 4. Control Selection and Justification
Select and justify Annex A controls efficiently, with pre-built rationales and exclusion templates to accelerate approvals.
12 chapters in this module
- Annex A overview
- Control mapping
- Applicability rationale
- Exclusion documentation
- Control overlap handling
- Vendor responsibility split
- Internal audit alignment
- Evidence requirement
- Control priority tagging
- Implementation phasing
- Stakeholder review
- Final control register
Module 5. Statement of Applicability Development
Build a complete, auditor-ready SoA with speed and confidence using structured templates and precedent-based reasoning.
12 chapters in this module
- SoA format standards
- Control applicability tagging
- Rationale writing
- Exclusion justification
- Cross-reference linking
- Version management
- Approval chain
- Audit readiness check
- Tool integration
- Client adaptation
- Industry variation
- Final sign-off
Module 6. AI Governance Implementation Planning
Create a realistic, parallelizable implementation roadmap that fits within existing delivery cycles and DevOps timelines.
12 chapters in this module
- Milestone mapping
- Parallel track design
- Sprint integration
- Resource allocation
- Dependency mapping
- Toolchain alignment
- Evidence collection plan
- Review gate placement
- Stakeholder sync points
- Risk-based prioritisation
- Rollback criteria
- Success metrics
Module 7. Documented Information Management
Establish a lightweight but compliant documentation system that satisfies ISO 42001 without slowing down delivery.
12 chapters in this module
- Doc types inventory
- Version control
- Access permissions
- Retention rules
- Indexing strategy
- Searchability
- Audit trail
- Automated generation
- Template library
- Review cycle
- Approval workflow
- Archiving
Module 8. Internal Audit Preparation
Prepare for ISO 42001 internal audits with pre-built checklists, evidence bundles, and response workflows.
12 chapters in this module
- Audit scope definition
- Checklist creation
- Evidence bundling
- Gap identification
- Corrective action logging
- Audit schedule
- Team briefing
- Interview prep
- Finding classification
- Response drafting
- Closure criteria
- Follow-up
Module 9. Performance Evaluation and Monitoring
Implement automated and manual monitoring to continuously assess AI governance effectiveness and compliance.
12 chapters in this module
- KPI selection
- Dashboard setup
- Automated alerts
- Manual review rhythm
- Incident logging
- Control testing
- Performance review
- Trend analysis
- Stakeholder reporting
- Improvement backlog
- Benchmarking
- Adaptation triggers
Module 10. Corrective Action and Continual Improvement
Turn audit findings and performance data into fast, documented improvements that strengthen the AI governance system.
12 chapters in this module
- Finding triage
- Root cause analysis
- Action assignment
- Timeline setting
- Evidence of closure
- Review gate
- Prevention tactics
- Process update
- Training update
- Stakeholder notification
- Audit trail
- Lessons log
Module 11. External Audit and Certification Readiness
Prepare for third-party audits with confidence, using pre-validated evidence packs and rehearsed response protocols.
12 chapters in this module
- Certification body selection
- Audit timeline
- Evidence pack assembly
- Gap remediation
- Interview prep
- Document readiness
- Escalation path
- Response drafting
- Findings handling
- Certification decision
- Post-certification plan
- Surveillance audit prep
Module 12. Scaling Governance Across Engagements
Reuse and adapt your ISO 42001 implementation assets across clients and projects to compound delivery speed.
12 chapters in this module
- Asset inventory
- Template library
- Customisation protocol
- Client onboarding
- Industry adaptation
- Team onboarding
- Knowledge transfer
- Feedback loop
- Version control
- Improvement integration
- Cross-project reuse
- Governance compounding
How this maps to your situation
- When scoping an AI governance engagement
- During internal ISO 42001 audit preparation
- Facing a tight certification deadline
- Leading governance for multiple AI projects
Before vs. after
Before
Spending weeks translating ISO 42001 policy into actionable controls, with fragmented documentation and delayed artefact delivery.
After
Delivering complete, audit-ready ISO 42001 implementations in days, with reusable templates and structured workflows.
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 to be completed in parallel with active projects.
If nothing changes
Continuing to rely on ad-hoc implementation methods means longer delivery cycles, inconsistent artefacts, and missed opportunities to lead AI governance at speed.
How this compares to the alternatives
Unlike generic ISO 42001 overviews or high-level compliance courses, this program is built for Technology Architects who must ship working governance artefacts fast. No theory without implementation. No abstraction without templates.
Frequently asked
Is this course suitable for someone with my background?
Yes. It’s designed for certified data engineers and architects working on AI governance implementation in global services firms.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I get practical tools I can use immediately?
Yes. Every module includes downloadable templates, checklists, and a complete implementation playbook delivered at course start.
$199 one-time. Approximately 3 hours per module, designed to be completed in parallel with active projects..
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