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Own the ISO 42001 audit readiness cycle end to end

$199.00
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A tailored course, built for your situation

Own the ISO 42001 audit readiness cycle end to end

A 199 course for quality assurance practitioners leading compliance evolution

$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.
Stalled audits, last-minute evidence runs, and framework gaps slow down compliance cycles

The situation this course is for

Even skilled QA leads face delays when audit ownership is fragmented. Without clear control ownership, teams default to reactive mode, chasing artifacts, not setting pace.

Who this is for

Senior QA practitioner in global services driving compliance maturity beyond testing into framework ownership

Who this is not for

Entry-level testers, auditors focused only on checklists, or practitioners not involved in governance rollout

What you walk away with

  • Define and lock audit scope for ISO 42001 without escalation
  • Produce a complete statement of applicability with documented exclusions
  • Map controls to internal processes with evidence trails ready for review
  • Lead cross-functional alignment on control ownership and testing cadence
  • Deploy a repeatable audit prep cycle that compounds across clients

The 12 modules (with all 144 chapters)

Module 1. Defining ISO 42001 applicability in complex delivery environments
Learn to assess organizational context, define boundaries, and justify exclusions for AI management systems with real client examples.
12 chapters in this module
  1. Understanding ISO 42001 scope criteria
  2. Identifying AI system boundaries
  3. Documenting exclusion justifications
  4. Stakeholder alignment on scope
  5. Common pitfalls in applicability statements
  6. Evidence requirements for exclusion claims
  7. Case study global banking client
  8. Case study healthcare AI tooling
  9. Template for internal review
  10. Version control for scope documents
  11. Audit readiness check for scope
  12. Hand-off protocol to implementation teams
Module 2. Building the leadership commitment narrative
Craft executive messaging that ties AI governance to delivery excellence and client trust.
12 chapters in this module
  1. Defining leadership roles in AI governance
  2. Mapping policy to delivery outcomes
  3. Internal communication cadence
  4. Executive sign-off documentation
  5. Tone from the top examples
  6. Risk ownership assignment
  7. Accountability framework design
  8. Policy distribution tracking
  9. Training completion oversight
  10. Audit trail for leadership review
  11. Document retention for governance
  12. Escalation path for non-compliance
Module 3. Risk assessment for AI system lifecycles
Apply ISO 42001 risk methodology to QA workflows, focusing on bias, transparency, and operational impact.
12 chapters in this module
  1. AI-specific risk categories
  2. Stakeholder impact analysis
  3. Probability vs criticality scoring
  4. Risk register structure
  5. Mitigation control pairing
  6. Third-party vendor risks
  7. Ongoing monitoring triggers
  8. Risk review meeting cadence
  9. Reporting format for leadership
  10. Integration with existing QA risks
  11. Automated risk flagging
  12. Audit evidence for risk decisions
Module 4. Control mapping across development and operations
Align ISO 42001 controls to SDLC phases and QA checkpoints with traceable outputs.
12 chapters in this module
  1. Control to process alignment
  2. Development phase mappings
  3. Testing integration points
  4. Deployment gate controls
  5. Monitoring and logging rules
  6. Incident response linkage
  7. Version control requirements
  8. Access control integration
  9. Audit trail configuration
  10. Change management rules
  11. Rollback procedure validation
  12. Evidence tagging system
Module 5. Designing transparent AI system documentation
Create living artifacts that satisfy auditors and guide engineering teams simultaneously.
12 chapters in this module
  1. Minimum viable documentation set
  2. Version control for AI models
  3. Change logs for algorithm updates
  4. Data provenance tracking
  5. Model performance metrics
  6. Bias assessment records
  7. Stakeholder communication logs
  8. Update approval workflows
  9. Retirement documentation
  10. Archival and retrieval process
  11. Audit access setup
  12. Documentation review cycle
Module 6. Verification and validation planning
Design test strategies that prove AI system conformity without over-testing.
12 chapters in this module
  1. Verification vs validation scope
  2. Test case design principles
  3. Bias testing methodology
  4. Performance benchmarking
  5. User feedback integration
  6. Third-party validation rules
  7. Automated testing inclusion
  8. False positive handling
  9. Model drift detection
  10. Feedback loop design
  11. Audit readiness of test results
  12. Reporting format for leadership
Module 7. Internal audit preparedness
Run dry runs that identify gaps before external auditors arrive, using ISO 42001 checklists.
12 chapters in this module
  1. Audit scope finalization
  2. Evidence collection timeline
  3. Control mapping review
  4. Gap identification protocol
  5. Remediation assignment
  6. Evidence tagging system
  7. Interview preparation
  8. Cross-functional alignment
  9. Audit run-through facilitation
  10. Corrective action tracking
  11. Pre-audit sign-off
  12. Post-audit follow-up
Module 8. Managing third-party AI components
Extend control ownership to vendor-supplied AI tools and APIs.
12 chapters in this module
  1. Vendor due diligence process
  2. Contractual compliance terms
  3. API security validation
  4. Model update notifications
  5. Subprocessor oversight
  6. Data handling agreements
  7. Audit rights negotiation
  8. Performance SLA tracking
  9. Incident response coordination
  10. Exit strategy documentation
  11. Vendor risk reassessment
  12. Compliance evidence exchange
Module 9. Incident response for AI systems
Build playbooks that integrate with existing ITIL processes while meeting ISO 42001 requirements.
12 chapters in this module
  1. AI-specific incident types
  2. Detection and alerting rules
  3. Severity classification
  4. Escalation paths
  5. Cross-team coordination
  6. Root cause analysis method
  7. Remediation tracking
  8. Transparency requirements
  9. Stakeholder notification
  10. Post-mortem documentation
  11. Regulatory reporting triggers
  12. Preventive action update
Module 10. Continuous improvement of AI management
Design feedback loops that refine governance based on operational data and audit outcomes.
12 chapters in this module
  1. Performance metric identification
  2. Feedback source integration
  3. Review meeting cadence
  4. Improvement initiative tracking
  5. Change approval process
  6. Version update planning
  7. Stakeholder input collection
  8. Audit finding resolution
  9. Lessons learned documentation
  10. Benchmarking against peers
  11. Innovation allowance
  12. Resource allocation planning
Module 11. Cross-functional alignment on governance
Lead alignment sessions with engineering, legal, and delivery teams to unify AI governance ownership.
12 chapters in this module
  1. Stakeholder identification
  2. Governance role definition
  3. Decision rights mapping
  4. Meeting facilitation skills
  5. Conflict resolution protocol
  6. Consensus building techniques
  7. Documentation standards
  8. Version control integration
  9. Change notification system
  10. Compliance tracking
  11. Escalation process
  12. Success measurement
Module 12. Sustaining compliance across delivery cycles
Turn ISO 42001 adherence into a repeatable advantage across client engagements.
12 chapters in this module
  1. Onboarding new projects
  2. Template adaptation process
  3. Client-specific customization
  4. Knowledge transfer sessions
  5. Compliance metric tracking
  6. Audit outcome benchmarking
  7. Lessons learned integration
  8. Staff training program
  9. Certification renewal
  10. External auditor coordination
  11. Public disclosure preparation
  12. Stakeholder trust building

How this maps to your situation

  • Client onboarding with AI components
  • Pre-audit preparation cycle
  • Third-party vendor integration
  • Post-incident governance review

Before vs. after

Before
Audit scope is defined by external consultants, control mapping is reactive, evidence collection is fragmented across teams.
After
You lead the audit scope decision, own control mapping, and produce a complete evidence trail ready for review.

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 to be completed alongside active projects.

If nothing changes
Without ownership of the audit cycle, QA leads remain execution partners, not governance decision-makers, missing the shift toward strategic compliance leadership.

How this compares to the alternatives

Unlike generic compliance courses, this program delivers actionable, role-specific capabilities in audit ownership, no theory, no fluff, just proven artifacts and decision frameworks used by top practitioners.

Frequently asked

How is this different from general ISO 42001 training?
This course is built for QA practitioners who need to own audit readiness end to end, not just understand the standard, but lead its execution in complex delivery environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I get templates I can use immediately?
Yes, every module includes downloadable templates and real-world examples tailored to QA-led governance rollout.
$199 one-time. Approximately 3 hours per module, designed to be completed alongside active projects..

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