A tailored course, built for your situation
Faster path from policy intent to working ISO 42001 artefact
Build compliant AI systems faster with repeatable implementation patterns
The situation this course is for
Teams are stuck in revision loops, translating high-level AI governance mandates into control statements that auditors accept. The gap between intent and artefact creates delays, especially when frameworks like ISO 42001 are applied reactively.
Who this is for
Senior technical leader in a global services firm, accountable for delivering compliant AI systems on time and with minimal rework
Who this is not for
Entry-level auditors, consultants selling ISO 42001 as a checklist, or practitioners focused solely on non-AI domains
What you walk away with
- Produce a complete ISO 42001 Statement of Applicability in under 10 working days
- Reduce control implementation time by leveraging pre-mapped evidence templates
- Align engineering, legal, and compliance teams using a shared implementation rhythm
- Confidently respond to auditor follow-ups with documented control rationale
- Deploy a repeatable workflow that cuts rework across future AI governance projects
The 12 modules (with all 144 chapters)
- Define AI system classification tiers
- Identify applicable clauses in ISO 42001
- Scope control coverage by risk domain
- Document decision rationale for auditors
- Align with legal and compliance stakeholders
- Establish review cadence for scope changes
- Track control relevance over time
- Integrate with vendor assessment process
- Flag high-risk control gaps early
- Assign ownership per control domain
- Build living scope register
- Link to project intake workflow
- Structure SoA for audit navigation
- Justify exclusions with evidence
- Cite framework clause verbatim
- Attach implementation status per control
- Link to risk register decisions
- Version control the SoA
- Highlight implementation timelines
- Include rationale for partial implementations
- Map roles to control ownership
- Integrate feedback from legal review
- Automate evidence collection triggers
- Publish for cross-team access
- Identify dual-use controls
- Map access controls to A.8.1
- Link data governance to A.10
- Apply model monitoring to A.12
- Connect incident response to A.16
- Embed bias audit trails in A.14
- Align training pipelines with A.7
- Map third-party APIs to A.15
- Document model versioning under A.9
- Link CI/CD to A.13
- Assign control ownership tags
- Track implementation completeness
- Design minimal viable evidence
- Standardize screenshots for audits
- Template model card outputs
- Generate logs with audit trails
- Automate policy attestation flows
- Archive training data snapshots
- Document model decay thresholds
- Log human-in-the-loop interactions
- Capture feedback loop metrics
- Preserve versioned decision logs
- Integrate with existing ticketing
- Tag evidence by control clause
- Set control review milestones
- Schedule evidence collection sprints
- Define handoff protocols
- Assign compliance liaisons
- Host alignment checkpoints
- Track dependencies across teams
- Integrate with sprint planning
- Escalate blocker issues
- Document resolution paths
- Share control status dashboards
- Rotate audit shadow roles
- Celebrate control completions
- Predict common auditor queries
- Embed rationale in control write-ups
- Structure documentation for reviewer flow
- Highlight compliance exceptions
- Link to supporting policies
- Include implementation screenshots
- Reference training materials
- Note control limitations honestly
- Show version history clearly
- Pre-attach evidence files
- Build FAQ appendices
- Simulate audit walkthroughs
- Track model update impacts
- Reassess control applicability
- Update SoA after releases
- Flag deprecated controls
- Archive old versions securely
- Notify stakeholders of changes
- Trigger re-evidence cycles
- Maintain change logs
- Link to CI/CD pipeline events
- Document rollback implications
- Preserve audit trail across versions
- Report changes to compliance team
- Assess vendor compliance posture
- Map vendor features to control clauses
- Demand evidence from providers
- Negotiate control-specific SLAs
- Document shared responsibility
- Track vendor control gaps
- Integrate vendor audits
- Verify evidence collection
- Monitor for control drift
- Enforce contract clauses
- Build exit checklists
- Update SoA for vendor changes
- Plan audit scope by risk tier
- Select sample AI systems
- Verify evidence completeness
- Assess control effectiveness
- Document findings clearly
- Classify severity levels
- Assign remediation owners
- Set correction deadlines
- Track closure status
- Report to leadership
- Archive audit packages
- Improve checklists iteratively
- Set control review intervals
- Automate evidence collection
- Monitor control drift
- Trigger re-attestation
- Update documentation automatically
- Alert on policy changes
- Audit model behavior continuously
- Log control exceptions
- Report compliance health
- Optimize control scope
- Reduce manual effort
- Scale across new AI projects
- Document reusable control mappings
- Share implementation templates
- Train team leads on core principles
- Standardize evidence formats
- Centralize SoA oversight
- Delegate control ownership
- Monitor cross-team compliance
- Host knowledge exchange sessions
- Improve templates iteratively
- Reduce onboarding time
- Track adoption metrics
- Celebrate team achievements
- Document institutional knowledge
- Standardize control language
- Preserve implementation playbooks
- Archive decision rationales
- Train new leaders systematically
- Publish compliance expectations
- Maintain versioned guidance
- Onboard new team members
- Update policies incrementally
- Capture lessons learned
- Refresh control mappings
- Plan for long-term continuity
How this maps to your situation
- When building your first AI system under ISO 42001
- During internal audit preparation cycles
- After acquiring a new AI vendor
- Before regulatory scrutiny or client audit
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 3 hours per module, designed to be completed alongside active projects.
How this compares to the alternatives
Unlike generic ISO 42001 training, this course focuses specifically on accelerating AI governance delivery with real templates and implementation logic used in global services firms.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.