A tailored course, built for your situation
Mastering ISO 42001 for Product Operations Leaders
Build AI governance programs with documented authority over framework decisions
$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.
Losing influence because governance decisions default to legal or compliance teams
The situation this course is for
AI governance is often reactive, driven by external audits or compliance mandates, leaving product ops teams to implement decisions made upstream. Without clear ownership, your team absorbs execution burden without decision rights, eroding trust and slowing innovation cycles.
Who this is for
Product Operations Leaders in tech-forward companies scaling AI-driven products and need to own governance outcomes without ceding control to centralized risk functions
Who this is not for
Individuals seeking introductory AI awareness or general compliance training without focus on decision ownership
What you walk away with
- Documented authority to approve or adjust ISO 42001 control mappings without escalation
- Final input on AI risk classification thresholds and exemption criteria
- Ownership of internal audit scope definition for AI governance reviews
- Established process to update AI governance policies without senior review on routine changes
- Clear escalation boundary that preserves autonomy on standard framework operations
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 Scope Boundaries
Define what falls under AI governance and what doesn’t, with precedents from peer companies and audit outcomes.
12 chapters in this module
- Scope definition criteria
- AI system inventory thresholds
- Exclusion justification framework
- Boundary documentation standards
- Cross-functional alignment triggers
- Version control for scope updates
- Audit evidence requirements
- Stakeholder notification protocols
- Change review frequency
- Integration with product lifecycle
- Regulatory alignment checks
- Internal sign-off workflow
Module 2. Control Selection and Justification
Choose and defend control applicability with documented rationale accepted by internal and external reviewers.
12 chapters in this module
- Baseline control set definition
- Risk-based adjustment framework
- Control exclusion documentation
- Acceptable rationale patterns
- Precedent library curation
- Cross-team consultation triggers
- Versioning control changes
- Audit trail for modifications
- Thresholds for revalidation
- Integration with policy updates
- Stakeholder challenge response
- Final determination process
Module 3. Risk Assessment Framework Design
Build and maintain a risk classification model that supports consistent AI governance decisions.
12 chapters in this module
- Hazard identification taxonomy
- Impact scoring bands
- Likelihood assessment scale
- Risk matrix calibration
- Scenario documentation
- Threshold definition
- Review frequency standards
- Change management process
- Stakeholder input rules
- Override justification
- Version control
- Audit alignment
Module 4. Internal Audit Scope Definition
Define the depth, frequency, and sample size of internal reviews without requiring upstream approval.
12 chapters in this module
- Audit cycle planning
- Risk-based sampling rules
- Scope boundary criteria
- Evidence sufficiency standards
- Team notification protocols
- Findings classification
- Remediation tracking
- Follow-up frequency
- Escalation thresholds
- Stakeholder reporting
- Documentation retention
- Process update workflow
Module 5. Policy Update Authority
Implement routine updates to AI governance policies without mandatory senior review.
12 chapters in this module
- Update classification framework
- Minor change definition
- Stakeholder notification
- Version control standards
- Archive management
- Cross-reference validation
- Change tracking
- Approval workflow
- Review frequency
- Compliance checks
- Stakeholder feedback
- Final issuance
Module 6. Exemption Criteria and Thresholds
Establish and maintain rules for granting exemptions from AI governance controls.
12 chapters in this module
- Exemption types definition
- Threshold criteria
- Documentation standards
- Risk tolerance bands
- Review frequency
- Stakeholder input
- Approval delegation
- Audit trail
- Revocation triggers
- Communication rules
- Version control
- Compliance checks
Module 7. Stakeholder Communication Protocols
Define how governance decisions are shared across teams with clarity and authority.
12 chapters in this module
- Audience segmentation
- Notification timing
- Format standards
- Escalation pathways
- Feedback collection
- Version control
- Stakeholder onboarding
- Change summaries
- Archive access
- Review cycles
- Compliance verification
- Process updates
Module 8. Decision Boundary Enforcement
Maintain clear limits on when external input is required versus when decisions rest solely with product ops.
12 chapters in this module
- Boundary definition
- Escalation triggers
- Challenge response framework
- Authority documentation
- Dispute resolution
- Review frequency
- Stakeholder education
- Compliance checks
- Version control
- Process audit
- Feedback integration
- Continuous improvement
Module 9. Implementation Playbook Development
Create a living document that institutionalizes your team's governance ownership.
12 chapters in this module
- Playbook structure
- Decision ownership mapping
- Process workflows
- Stakeholder roles
- Review cycles
- Update process
- Version control
- Access control
- Training integration
- Onboarding process
- Compliance checks
- Archive standards
Module 10. Cross-Functional Alignment
Engage legal, compliance, and engineering teams as partners without ceding decision rights.
12 chapters in this module
- Alignment meeting structure
- Input windows
- Feedback integration rules
- Escalation paths
- Dispute resolution
- Stakeholder onboarding
- Change notification
- Review frequency
- Compliance checks
- Process audit
- Continuous improvement
- Documentation standards
Module 11. Audit Readiness and Evidence Management
Produce consistent, high-quality outputs for internal and external reviewers.
12 chapters in this module
- Evidence taxonomy
- Storage standards
- Retention periods
- Access control
- Audit trail
- Review frequency
- Compliance checks
- Version control
- Stakeholder access
- Change management
- Process updates
- Archive protocols
Module 12. Sustaining Governance Authority
Preserve decision ownership through leadership changes and organizational shifts.
12 chapters in this module
- Leadership onboarding
- Succession planning
- Playbook maintenance
- Review frequency
- Compliance checks
- Process audit
- Feedback integration
- Continuous improvement
- Stakeholder education
- Version control
- Documentation standards
- Archive management
How this maps to your situation
- Establishing control over AI governance framework
- Maintaining autonomy during internal audits
- Scaling governance with product velocity
- Preserving decision rights through organizational change
Before vs. after
Before
AI governance decisions are influenced or overridden by centralized teams, creating friction and slowing product delivery.
After
You have documented authority to make final decisions on framework applicability, policy updates, and audit scope, no approvals needed.
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 6-8 hours over 3 weeks, with self-paced access to all materials.
If nothing changes
Without clear ownership, AI governance remains reactive, dependencies grow, and product operations teams lose influence to centralized functions.
How this compares to the alternatives
Most AI governance training focuses on awareness or compliance checklists. This course is the only one that delivers documented decision authority over framework operations, tailored for product ops leaders who need to own outcomes.
Frequently asked
Is this course about implementing ISO 42001 from scratch?
No. It’s for establishing and defending decision ownership within an active or planned ISO 42001 program.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive a certificate of completion?
Yes, upon finishing all modules, you’ll receive a downloadable certificate recognizing your mastery of ISO 42001 governance authority.
$199 one-time. Approximately 6-8 hours over 3 weeks, with self-paced access to all materials..
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