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Known as the go-to authority on ISO 42001 in your firm

$199.00
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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

$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.
Being seen as just another project manager instead of the recognized expert on AI governance

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)

Module 1. Foundations of ISO 42001 in program leadership
Understand how ISO 42001 fits within consulting delivery and program governance structures.
12 chapters in this module
  1. What ISO 42001 means for project leads
  2. AI governance vs AI ethics
  3. Core obligations of AI management systems
  4. How ISO 42001 complements existing frameworks
  5. Scope definition for client engagements
  6. Identifying AI systems in mixed portfolios
  7. Mapping AI risk to program milestones
  8. Defining roles in AI governance
  9. Documentation expectations
  10. Audit-readiness timeline
  11. Vendor inclusion criteria
  12. Client communication plan
Module 2. Building the leadership case for ISO 42001
Craft narratives that position ISO 42001 as a strategic advantage, not just a compliance requirement.
12 chapters in this module
  1. Framing ISO 42001 as client value
  2. Executive summary drafting
  3. Linking compliance to mission outcomes
  4. Competitive differentiation examples
  5. Cost of inaction scenarios
  6. Success benchmarks from peers
  7. Internal advocacy talking points
  8. Stakeholder mapping for buy-in
  9. Pilot program design
  10. Measuring adoption success
  11. Client-facing narrative
  12. Scaling beyond initial use case
Module 3. Scope definition and boundary setting
Define what falls under ISO 42001 and what doesn't across programs.
12 chapters in this module
  1. Identifying AI components in legacy systems
  2. Exclusions and justification rules
  3. Human-in-the-loop criteria
  4. Decision automation thresholds
  5. Client co-development edge cases
  6. Open source AI considerations
  7. Model lifecycle boundaries
  8. Procured AI tools scope
  9. Cloud platform responsibilities
  10. Service provider alignment
  11. Version update triggers
  12. Re-scope checklist
Module 4. Risk assessment and control integration
Embed ISO 42001 risk controls into existing program workflows.
12 chapters in this module
  1. AI-specific risk categories
  2. Bias detection thresholds
  3. Transparency requirements
  4. Human oversight design
  5. Failure impact analysis
  6. Fallback mechanism planning
  7. Data lineage tracking
  8. Model validation frequency
  9. Incident escalation paths
  10. Control testing documentation
  11. Remediation timelines
  12. Audit trail maintenance
Module 5. Stakeholder engagement and transparency
Lead communication with internal teams and clients on AI governance expectations.
12 chapters in this module
  1. Defining transparency scope
  2. User awareness requirements
  3. Client disclosure templates
  4. Third-party audit preparedness
  5. Public reporting guidelines
  6. Marketing claims alignment
  7. Misuse prevention statements
  8. Feedback mechanism setup
  9. Training plan for users
  10. Change communication strategy
  11. Escalation protocol
  12. Incident response coordination
Module 6. Performance evaluation and monitoring
Implement ongoing evaluation of AI systems under ISO 42001 standards.
12 chapters in this module
  1. KPIs for AI performance
  2. Accuracy decay thresholds
  3. Bias drift detection
  4. System stability monitoring
  5. User satisfaction metrics
  6. Fallback usage tracking
  7. Update impact assessment
  8. Retraining triggers
  9. Model version control
  10. Performance dashboard design
  11. Reporting intervals
  12. Anomaly investigation process
Module 7. Documentation and evidence management
Create audit-ready records that demonstrate continuous compliance.
12 chapters in this module
  1. Required documentation list
  2. Statement of Applicability drafting
  3. Control implementation proof
  4. Revision history tracking
  5. Evidence retention policy
  6. Internal audit preparation
  7. External auditor coordination
  8. Document access controls
  9. Versioning strategy
  10. Cross-project reuse methods
  11. Template library setup
  12. Automated evidence collection
Module 8. Corrective action and continual improvement
Establish feedback loops that drive ongoing maturity in AI governance.
12 chapters in this module
  1. Non-conformance tracking
  2. Root cause analysis method
  3. Remediation planning
  4. Preventive action logic
  5. Improvement opportunity logging
  6. Lessons learned integration
  7. Process update workflow
  8. Training updates
  9. Client feedback use
  10. Benchmarking against peers
  11. Gap closure evidence
  12. Closure sign-off process
Module 9. Certification preparation and audit readiness
Lead your organization through ISO 42001 certification with confidence.
12 chapters in this module
  1. Choosing a certification body
  2. Pre-certification gap analysis
  3. Internal audit checklist
  4. Corrective action timeline
  5. Stage 1 audit prep
  6. Stage 2 audit prep
  7. Evidence folder organization
  8. Interview preparation
  9. Nonconformity response
  10. Surveillance audit planning
  11. Maintaining certification
  12. Re-certification roadmap
Module 10. Scaling ISO 42001 across programs
Replicate success across multiple client engagements and internal initiatives.
12 chapters in this module
  1. Playbook adaptation strategy
  2. Template customization rules
  3. Knowledge transfer planning
  4. Training new leads
  5. Centralized governance model
  6. Decentralized ownership approach
  7. Cross-program review cadence
  8. Shared resource pool
  9. Lessons learned database
  10. Client-specific variations
  11. Industry adaptation examples
  12. Rapid deployment checklist
Module 11. Vendor and partner compliance oversight
Extend ISO 42001 requirements to third parties and subcontractors.
12 chapters in this module
  1. Vendor pre-qualification check
  2. Contractual compliance terms
  3. Subcontractor monitoring
  4. Third-party audit rights
  5. Evidence collection from vendors
  6. Onsite assessment planning
  7. Remote review methods
  8. Performance under SLA
  9. Remediation coordination
  10. Exit transition planning
  11. Multi-vendor integration
  12. Shared accountability mapping
Module 12. Thought leadership and external positioning
Position yourself and your firm as leaders in AI governance.
12 chapters in this module
  1. Speaking opportunity identification
  2. White paper development
  3. Client workshop design
  4. Webinar hosting
  5. Conference participation
  6. Media outreach strategy
  7. Byline drafting
  8. Social proof collection
  9. Case study creation
  10. Internal knowledge sharing
  11. Mentorship role
  12. 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

Before
You manage programs with growing AI components but lack a recognized framework to lead governance discussions.
After
You’re the person others consult when ISO 42001 questions come up, shaping decisions, not just executing them.

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.

If nothing changes
Without clear ownership of emerging AI governance standards, even strong program managers can be bypassed when strategic decisions are made. Others will define the framework, and you’ll be asked to implement it, rather than lead it.

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

Will this help me lead client conversations on AI compliance?
Yes. Every module includes client-facing language, documentation examples, and positioning strategies tailored to consulting environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this suitable for someone without technical AI experience?
Yes. The course is designed for program leaders who need to govern AI systems, not build them. No coding or data science background required.
$199 one-time. Approximately 3-4 hours per week over 12 weeks, designed for working professionals..

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