A tailored course, built for your situation
Known as the go-to authority on ISO 42001 in your firm
Become the internal reference for AI management systems with a tailored implementation path
The situation this course is for
Even strong program leads can fade into the background when it comes to strategic frameworks. Without clear ownership of emerging standards like ISO 42001, valuable contributions stay under the radar.
Who this is for
Senior program and project managers in consulting and federal services firms who lead cross-functional initiatives and want to own high-impact governance frameworks
Who this is not for
Entry-level coordinators, software developers without governance responsibilities, or practitioners focused only on technical AI implementation without program-level oversight
What you walk away with
- Position yourself as the internal go-to expert for ISO 42001 implementation
- Lead cross-functional teams with confidence using a clear, repeatable framework playbook
- Produce documentation and control mappings that stand up to client and auditor scrutiny
- Gain visibility with senior leaders when AI governance decisions are made
- Own the vendor and partner assessment track for AI compliance
The 12 modules (with all 144 chapters)
- What ISO 42001 means for project leads
- AI governance vs AI ethics
- Core obligations of AI management systems
- How ISO 42001 complements existing frameworks
- Scope definition for client engagements
- Identifying AI systems in mixed portfolios
- Mapping AI risk to program milestones
- Defining roles in AI governance
- Documentation expectations
- Audit-readiness timeline
- Vendor inclusion criteria
- Client communication plan
- Framing ISO 42001 as client value
- Executive summary drafting
- Linking compliance to mission outcomes
- Competitive differentiation examples
- Cost of inaction scenarios
- Success benchmarks from peers
- Internal advocacy talking points
- Stakeholder mapping for buy-in
- Pilot program design
- Measuring adoption success
- Client-facing narrative
- Scaling beyond initial use case
- Identifying AI components in legacy systems
- Exclusions and justification rules
- Human-in-the-loop criteria
- Decision automation thresholds
- Client co-development edge cases
- Open source AI considerations
- Model lifecycle boundaries
- Procured AI tools scope
- Cloud platform responsibilities
- Service provider alignment
- Version update triggers
- Re-scope checklist
- AI-specific risk categories
- Bias detection thresholds
- Transparency requirements
- Human oversight design
- Failure impact analysis
- Fallback mechanism planning
- Data lineage tracking
- Model validation frequency
- Incident escalation paths
- Control testing documentation
- Remediation timelines
- Audit trail maintenance
- Defining transparency scope
- User awareness requirements
- Client disclosure templates
- Third-party audit preparedness
- Public reporting guidelines
- Marketing claims alignment
- Misuse prevention statements
- Feedback mechanism setup
- Training plan for users
- Change communication strategy
- Escalation protocol
- Incident response coordination
- KPIs for AI performance
- Accuracy decay thresholds
- Bias drift detection
- System stability monitoring
- User satisfaction metrics
- Fallback usage tracking
- Update impact assessment
- Retraining triggers
- Model version control
- Performance dashboard design
- Reporting intervals
- Anomaly investigation process
- Required documentation list
- Statement of Applicability drafting
- Control implementation proof
- Revision history tracking
- Evidence retention policy
- Internal audit preparation
- External auditor coordination
- Document access controls
- Versioning strategy
- Cross-project reuse methods
- Template library setup
- Automated evidence collection
- Non-conformance tracking
- Root cause analysis method
- Remediation planning
- Preventive action logic
- Improvement opportunity logging
- Lessons learned integration
- Process update workflow
- Training updates
- Client feedback use
- Benchmarking against peers
- Gap closure evidence
- Closure sign-off process
- Choosing a certification body
- Pre-certification gap analysis
- Internal audit checklist
- Corrective action timeline
- Stage 1 audit prep
- Stage 2 audit prep
- Evidence folder organization
- Interview preparation
- Nonconformity response
- Surveillance audit planning
- Maintaining certification
- Re-certification roadmap
- Playbook adaptation strategy
- Template customization rules
- Knowledge transfer planning
- Training new leads
- Centralized governance model
- Decentralized ownership approach
- Cross-program review cadence
- Shared resource pool
- Lessons learned database
- Client-specific variations
- Industry adaptation examples
- Rapid deployment checklist
- Vendor pre-qualification check
- Contractual compliance terms
- Subcontractor monitoring
- Third-party audit rights
- Evidence collection from vendors
- Onsite assessment planning
- Remote review methods
- Performance under SLA
- Remediation coordination
- Exit transition planning
- Multi-vendor integration
- Shared accountability mapping
- Speaking opportunity identification
- White paper development
- Client workshop design
- Webinar hosting
- Conference participation
- Media outreach strategy
- Byline drafting
- Social proof collection
- Case study creation
- Internal knowledge sharing
- Mentorship role
- Industry working group participation
How this maps to your situation
- When starting a new AI-focused client engagement
- After a client requests formal AI governance documentation
- Before an internal audit cycle
- When expanding AI initiatives across business units
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 3-4 hours per week over 12 weeks, designed for working professionals.
How this compares to the alternatives
Public training courses cover ISO 42001 generically. This program is tailored to program managers in firms like the firm, with real-world examples, client-facing documentation templates, and strategies for gaining visibility across engagements.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.