A tailored course, built for your situation
Premium engagement picks with ISO 42001
Position yourself for higher-margin AI governance work by mastering the framework clients are asking for
Who this is for
Senior individual contributor in AI governance or GenAI development at a global systems integrator, actively involved in client delivery and internal framework adoption
Who this is not for
Entry-level analysts, board-level executives, or practitioners outside AI governance and compliance implementation
What you walk away with
- First access to strategic AI governance engagements with clear budget and scope
- Repeatable ISO 42001 implementation artefacts that compound across client deals
- Stronger positioning in pursuit cycles for higher-margin projects
- Faster client trust-building through structured framework alignment
- Clear differentiation from peers who lack certified framework fluency
The 12 modules (with all 144 chapters)
- Client RFPs now name ISO 42001 explicitly
- How firms are using it in pre-sales advantage
- Real-world examples from financial services
- The link between certification and budget approval
- ISO 42001 vs NIST AI RMF in client talks
- When clients ask for proof of capability
- Mapping client needs to framework clauses
- How the firm teams are positioning it
- First-mover advantage in pursuit decks
- Evidence clients trust over claims
- Benchmarking against competitors
- Positioning beyond checkbox compliance
- Clause 4: Understanding context of the organization
- Clause 5: Leadership and commitment evidence
- Clause 6: Planning for AI risk treatment
- Clause 7: Resource and competence mapping
- Clause 8: Operational controls for AI systems
- Clause 9: Performance evaluation planning
- Clause 10: Continual improvement loops
- Annex A controls deep dive
- Mapping controls to AI development phases
- Control ownership models across teams
- Worked example: Healthcare AI pilot
- Framework navigation shortcuts
- Defining the scope of AI activities
- Identifying interested parties
- Setting AI governance objectives
- Assigning accountability for AI risks
- Documented information requirements
- Internal audit planning for AI
- Management review inputs and outputs
- Maintaining competence records
- Vendor oversight within AIMS
- Incident management protocols
- Management of high-risk AI models
- Linking AIMS to existing QMS
- Assessing alignment on ongoing AI projects
- Identifying gaps in current workflows
- Prioritizing remediation efforts
- Integrating with MLOps pipelines
- Documentation requirements per model
- Version control for AI systems
- Change management for AI updates
- Training data governance links
- Model validation evidence needed
- Human oversight mechanisms
- Post-deployment monitoring integration
- Audit trail requirements
- Purpose of the SoA in ISO 42001
- Required fields and structure
- How to justify exclusions
- Tailoring controls to AI context
- Examples from autonomous systems
- Language for external audits
- Versioning and maintenance
- Cross-referencing with SOC 2
- SoA as a sales enablement asset
- Client-facing SoA summaries
- Internal review checklist
- First draft in under four hours
- Selecting internal auditors
- Audit planning calendar
- Checklist design for AI controls
- Sampling approach for AI models
- Document review protocols
- Interview techniques for developers
- Evidence collection standards
- Nonconformity classification
- Corrective action workflows
- Management reporting templates
- Audit follow-up timing
- Mock audit walkthrough
- Defining vendor relationships
- Assessing third-party AI risks
- Contractual clauses for compliance
- Right-to-audit provisions
- Vendor self-attestation review
- Oversight of cloud AI services
- Monitoring outsourced AI development
- Incident response coordination
- Certification requirements for partners
- Subcontractor management
- Due diligence templates
- Risk escalation triggers
- Mapping ISO 42001 to NIST AI RMF
- Common controls with SOC 2 Type 2
- COBIT the current cycle alignment points
- GDPR and AI transparency overlap
- Using existing ISMS for faster rollout
- Consolidated control matrices
- Effort reduction through reuse
- Cross-walk documentation
- Single audit evidence strategy
- Leveraging past certification work
- Integration playbook template
- Change request workflows
- Defining improvement objectives
- Metrics for AI system performance
- Feedback loops from users
- Post-deployment review cadence
- Updating risk assessments
- Lessons learned capture
- Benchmarking against peers
- Internal reporting dashboards
- Executive communication rhythm
- Annual review process design
- Improvement evidence for auditors
- Showcasing maturity to clients
- Including ISO 42001 in solution designs
- Positioning in pre-RFP discussions
- Differentiation vs competitors
- Client education materials
- Workshops for client teams
- Case studies from certified projects
- Pricing advantage with certification
- Trusted advisor positioning
- Joint compliance planning
- Client audit readiness support
- Strengthening referenceability
- Building client-specific playbooks
- Training delivery teams
- Standardizing documentation
- Knowledge sharing mechanisms
- Centers of excellence design
- Internal certification paths
- Mentorship models
- Playbook distribution
- Tooling for consistency
- Quality assurance checkpoints
- Feedback from project leads
- Scaling without bloat
- Measuring adoption impact
- Surveillance audit timing
- Document retention schedules
- Control monitoring frequency
- Internal review cadence
- Handling scope changes
- Model lifecycle updates
- Re-certification strategy
- Auditor communication approach
- Evidence repository setup
- Change logs for AI systems
- Incident reporting process
- Continuous compliance mindset
How this maps to your situation
- New client engagement where ISO 42001 is referenced
- Internal push to adopt formal AI governance frameworks
- Competitive differentiation in pursuit cycle
- Preparation for external audit or certification
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 for completion in 6 weeks with steady progress or accelerated for immediate application.
How this compares to the alternatives
Unlike generic AI ethics courses, this program delivers specific, actionable fluency in ISO 42001 , the only framework clients are currently citing in procurement. Compared to vendor-led training, it's vendor-agnostic, implementation-focused, and tailored to consulting delivery contexts.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.