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Direct Authority Over AI Governance Decisions Using ISO 42001

$199.00
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A tailored course, built for your situation

Direct Authority Over AI Governance Decisions Using ISO 42001

Own every phase of AI governance sign-off with documented control mapping to ISO 42001

$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.

Who this is for

Senior AI governance practitioner leading delivery modules in a global services firm

Who this is not for

Entry-level auditors, junior compliance staff, or practitioners without ownership over control implementation

What you walk away with

  • Full ownership of AI governance control decisions without escalation
  • Documented ISO 42001 control mappings ready for internal audit
  • First-mover status on AI assurance frameworks within delivery teams
  • Clear decision boundaries between you and compliance, risk, and architecture teams
  • Standardized evidence packages that satisfy both internal and client-facing audits

The 12 modules (with all 144 chapters)

Module 1. Mapping AI Use Cases to ISO 42001 Clauses
Identify which AI initiatives trigger specific ISO 42001 controls and document the linkage.
12 chapters in this module
  1. AI project typology
  2. Control trigger analysis
  3. Data lineage mapping
  4. Human oversight thresholds
  5. Risk-based classification
  6. Documentation standards
  7. Stakeholder alignment points
  8. Evidence collection triggers
  9. Control depth by AI type
  10. Update frequency rules
  11. Crosswalk to NIST AI RMF
  12. Living control inventory
Module 2. Ownership Boundaries for Control Design
Define where your authority begins and ends in designing AI governance controls.
12 chapters in this module
  1. Decision rights framework
  2. Control logic ownership
  3. Escalation thresholds
  4. Peer validation points
  5. Architecture sign-off process
  6. Vendor input boundaries
  7. Version control rules
  8. Change freeze periods
  9. Audit trail requirements
  10. Final documentation authority
  11. Sign-off delegation paths
  12. Review cycle cadence
Module 3. Building the Internal Audit Package
Assemble evidence packages that pass internal audit on first submission.
12 chapters in this module
  1. Audit readiness checklist
  2. Control implementation proof
  3. Test case documentation
  4. Exception logging process
  5. Reviewer access setup
  6. Timeline alignment with cycles
  7. Stakeholder sign-off capture
  8. Versioned control records
  9. Gap remediation tracking
  10. Historical change log
  11. Automated evidence tagging
  12. Final approval workflow
Module 4. Vendor Assessment and Input Governance
Control how vendor proposals are evaluated and integrated into your framework.
12 chapters in this module
  1. Vendor input criteria
  2. Proposal scoring rubric
  3. Architecture compatibility rules
  4. Security control alignment
  5. Third-party audit requirements
  6. Pricing model review
  7. SLA enforcement triggers
  8. Change request process
  9. Performance review cycle
  10. Compliance evidence mandates
  11. Exit strategy documentation
  12. Final selection authority
Module 5. Policy Update Execution Without Escalation
Implement routine policy updates independently, with clear auditability.
12 chapters in this module
  1. Update classification rules
  2. Low-risk change criteria
  3. Documentation templates
  4. Stakeholder notification process
  5. Version control protocol
  6. Effective date scheduling
  7. Training update linkage
  8. Audit log update
  9. Internal comms plan
  10. Feedback collection mechanism
  11. Rollback procedure
  12. Post-implementation review
Module 6. Cross-Functional AI Governance Alignment
Lead alignment sessions with data, security, and compliance teams using ISO 42001 as the anchor.
12 chapters in this module
  1. Stakeholder mapping
  2. Control ownership matrix
  3. Meeting rhythm design
  4. Decision log structure
  5. Conflict resolution protocol
  6. Escalation path definition
  7. Shared documentation platform
  8. Version sync process
  9. Change notification rules
  10. Feedback incorporation cycle
  11. Authority boundary clarification
  12. Joint audit preparation
Module 7. AI Risk Appetite and Control Depth
Set control depth based on organizational risk tolerance and AI impact level.
12 chapters in this module
  1. Risk appetite definition
  2. AI impact scoring
  3. Control intensity tiers
  4. Oversight frequency rules
  5. Human-in-the-loop thresholds
  6. Bias detection frequency
  7. Model monitoring rules
  8. Data quality standards
  9. Incident response linkage
  10. Escalation triggers
  11. Review cycle adjustment
  12. Documentation depth rules
Module 8. Evidence Collection Automation
Design repeatable systems for evidence gathering across AI projects.
12 chapters in this module
  1. Evidence type taxonomy
  2. Automated logging setup
  3. System integration points
  4. Data retention rules
  5. Access control configuration
  6. Audit trail generation
  7. Validation rule configuration
  8. Exception flagging system
  9. Dashboard setup
  10. Reporting frequency
  11. Data lineage tagging
  12. Final review workflow
Module 9. Internal Training and Knowledge Transfer
Scale governance adoption by training delivery teams using standardized materials.
12 chapters in this module
  1. Training needs assessment
  2. Module design process
  3. Delivery format selection
  4. Content validation method
  5. Session scheduling
  6. Attendance tracking
  7. Feedback collection
  8. Update cycle rules
  9. Knowledge check design
  10. Certification process
  11. Refresher scheduling
  12. Documentation archive
Module 10. Continuous Control Monitoring
Implement systems to track control effectiveness over time.
12 chapters in this module
  1. Monitoring scope definition
  2. KPI selection
  3. Data collection method
  4. Threshold setting
  5. Alert generation rules
  6. Review meeting setup
  7. Remediation tracking
  8. Trend analysis process
  9. Control update triggers
  10. Reporting frequency
  11. Stakeholder communication
  12. Audit trail update
Module 11. Adapting to Evolving AI Regulations
Update your control framework in response to new regulatory expectations.
12 chapters in this module
  1. Regulatory monitoring setup
  2. Change impact analysis
  3. Stakeholder consultation
  4. Control update process
  5. Documentation update
  6. Training update
  7. Internal audit alignment
  8. Vendor coordination
  9. Timeline management
  10. Version control
  11. Communication plan
  12. Effectiveness tracking
Module 12. Building the Institutional Playbook
Create a durable, transferable governance guide that outlives leadership changes.
12 chapters in this module
  1. Playbook scope definition
  2. Control ownership rules
  3. Decision authority mapping
  4. Evidence standards
  5. Review cycle definition
  6. Update process
  7. Access control setup
  8. Version control system
  9. Change log maintenance
  10. Onboarding integration
  11. Audit integration
  12. Long-term maintenance plan

How this maps to your situation

  • You're launching a new AI initiative and need to justify your control design.
  • A vendor proposes an architecture that bypasses your oversight.
  • Internal audit flags gaps in documented decision authority.
  • A new team member inherits your framework and needs clarity on boundaries.

Before vs. after

Before
Reliant on approvals for standard governance updates, with ambiguous lines of control
After
Owns final decisions on AI governance design, evidence, and review, documented to ISO 42001

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, with self-paced access and lifetime updates.

If nothing changes
Continuing without clear decision ownership leads to delayed implementations, duplicated effort, and diminished influence on AI delivery outcomes.

How this compares to the alternatives

Generic AI governance courses focus on awareness. This course gives you documented authority over decisions, actionable, auditable, and tailored to your role.

Frequently asked

How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this course cover other frameworks like NIST or ISO 27001?
The primary anchor is ISO 42001, with crosswalks to NIST AI RMF and COBIT where relevant.
Will I receive a certification upon completion?
No. This course delivers practical implementation tools, not a branded credential.
$199 one-time. Approximately 3 hours per module, with self-paced access and lifetime updates..

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
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