A tailored course, built for your situation
Direct ownership of ISO 42001 implementation pathways
Build repeatable, defensible AI governance systems that scale with organisational demand
The situation this course is for
Practitioners with strong technical grounding are often passed over for ownership of enterprise-scale AI governance deployments because they lack structured, auditable pathways to prove consistency and control. This creates dependency on external validators and delays internal recognition.
Who this is for
Senior practitioner in governance, risk, or compliance leading or advising on AI system audits, control frameworks, or compliance readiness in a consulting or regulated environment
Who this is not for
Individuals seeking entry-level compliance knowledge or those focused solely on technical AI engineering without governance responsibilities
What you walk away with
- Own end-to-end ISO 42001 control implementation from scoping to audit sign-off
- Produce regulator-facing documentation that survives deep technical scrutiny
- Lead vendor review cycles with structured assessment templates and decision logs
- Establish internal reputation as the go-to owner for repeatable AI governance deployments
- Deploy a living compliance playbook that adapts across engagements and regulators
The 12 modules (with all 144 chapters)
- Identify AI systems in scope
- Map organisational structure to control domains
- Define leadership engagement model
- Set compliance reporting rhythm
- Document risk tolerance thresholds
- Establish control ownership rules
- Integrate with existing frameworks
- Prioritise control deployment phases
- Define measurement baselines
- Build stakeholder alignment map
- Create rollout communication plan
- Initiate first review cycle
- Break down clause 8.1 requirements
- Assign controls to data pipelines
- Map controls to model training phase
- Link controls to inference endpoints
- Integrate human oversight triggers
- Define control override protocols
- Build control dependency map
- Align with NIST AI RMF
- Map to internal audit standards
- Document control rationale
- Establish control review triggers
- Create control exception log
- Define AI governance board roles
- Assign control owners by domain
- Document approval workflows
- Build decision audit trail
- Integrate with legal sign-off
- Set escalation thresholds
- Define review frequency rules
- Create change control process
- Map to regulatory reporting lines
- Link to internal audit calendar
- Establish cross-functional sync
- Build transition playbooks
- Define risk identification criteria
- Build AI-specific risk catalogue
- Set risk scoring methodology
- Map controls to risk treatments
- Integrate with threat modelling
- Define risk acceptance thresholds
- Automate risk review triggers
- Build executive risk summary
- Set risk revalidation cycle
- Link to incident response
- Document residual risk decisions
- Archive risk treatment records
- Anticipate auditor question sets
- Build standard evidence packs
- Define evidence retention rules
- Map controls to auditor checklists
- Create control walkthrough scripts
- Develop auditor Q&A prep kit
- Integrate with SOC 2 outputs
- Align with ISO 27001 mappings
- Streamline sampling requests
- Reduce auditor follow-ups
- Build audit exception tracker
- Close audit loops systematically
- Define vendor due diligence scope
- Build vendor control checklist
- Create vendor risk tiering
- Set third-party audit rights
- Define right-to-audit clauses
- Build vendor compliance playbook
- Track vendor control drift
- Enforce remediation timelines
- Conduct vendor review meetings
- Document termination triggers
- Archive vendor assessment records
- Scale across vendor portfolios
- Define change control scope
- Map changes to control impact
- Set approval thresholds
- Build change request template
- Integrate with CI/CD pipeline
- Log model version changes
- Track data schema updates
- Document rollback procedures
- Notify stakeholders automatically
- Archive change records
- Revalidate controls post-change
- Audit change trail
- Define KPIs for control effectiveness
- Build compliance dashboard
- Set alert thresholds
- Automate control checks
- Track control drift
- Generate executive summaries
- Report to leadership forums
- Benchmark against peers
- Improve reporting cadence
- Integrate with risk registers
- Link to audit planning
- Archive historical reports
- Identify regulatory touchpoints
- Build regulator engagement plan
- Create inspection playbook
- Prepare document repository
- Train spokespersons
- Simulate regulator Q&A
- Document response procedures
- Archive regulator correspondence
- Update policies post-review
- Track regulator guidance updates
- Align with legal team
- Maintain regulator update log
- Define AI incident types
- Map controls to detection rules
- Set escalation paths
- Build incident documentation
- Integrate with SOC workflows
- Trigger control reviews post-incident
- Conduct root cause analysis
- Update controls based on findings
- Report to governance board
- Archive incident records
- Run tabletop exercises
- Improve detection over time
- Identify training audiences
- Define learning objectives
- Build role-specific modules
- Create awareness campaigns
- Deliver refresher training
- Test knowledge retention
- Track completion rates
- Gather feedback
- Update content quarterly
- Integrate with onboarding
- Report training metrics
- Scale across departments
- Define improvement triggers
- Collect stakeholder feedback
- Run control effectiveness reviews
- Benchmark against updates
- Update control mappings
- Revise documentation
- Communicate changes
- Train on updates
- Audit improvement effectiveness
- Archive improvement records
- Set next review cycle
- Close improvement loop
How this maps to your situation
- Preparing for first ISO 42001 certification audit
- Leading vendor AI system assessments
- Responding to internal audit findings
- Scaling AI governance across multiple teams
Before vs. after
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 4 hours per module, designed to be completed at your pace over 6-8 weeks.
How this compares to the alternatives
Unlike generic compliance courses, this program delivers field-tested ISO 42001 implementation patterns used in real regulator-facing reviews and internal escalation cycles, specifically designed for practitioners in consulting environments like the firm.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.