A tailored course, built for your situation
Mastering ISO 42001 for Problem Managers in Global IT Service Organizations
Build defensible AI governance decisions rooted in international standards and real-world problem resolution workflows
$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.
Making AI governance calls that hold up under cross-functional scrutiny
The situation this course is for
AI governance decisions often face pushback because they lack traceability to real incidents or documented problem patterns. Without clear lineage to standards like ISO 42001, teams default to opinion-based debate.
Who this is for
Senior Problem Manager in a global IT services firm, responsible for resolving high-severity incidents and driving process improvement, now expected to govern AI-integrated systems
Who this is not for
Individuals looking for introductory AI awareness or generic compliance overviews without integration into incident and problem workflows
What you walk away with
- Trace every AI control decision back to ISO 42001 clause requirements
- Reference real-world problem tickets that informed specific control implementations
- Respond to peer challenges with source-backed reasoning from standards and past incidents
- Build repeatable decision templates aligned to both ITIL practices and ISO 42001
- Produce audit-ready documentation that links AI governance to problem management outcomes
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 42001 in Problem Management Context
Understand how ISO 42001 applies specifically to high-severity incident resolution and recurring problem patterns in global service environments.
12 chapters in this module
- What ISO 42001 means for problem managers
- Core clauses linked to incident resolution
- AI governance vs traditional problem ownership
- Mapping controls to ticket types
- Establishing decision ownership
- Integrating with ITIL practices
- Documenting AI-informed decisions
- Audit trail requirements
- Cross-functional alignment points
- Common misapplications to avoid
- Baseline assessment tool
- First-week action plan
Module 2. Connecting Problem Patterns to AI Control Objectives
Identify recurring incident types that justify specific AI governance controls under ISO 42001, with documented examples from service desks and escalation paths.
12 chapters in this module
- Classifying problem clusters
- AI exposure in ticket lifecycles
- Control relevance scoring
- Historical data as justification
- Linking RCA to AI decisions
- Pattern-based control mapping
- False positive filtering
- Documentation thresholds
- Peer review triggers
- Versioning decision logic
- Toolchain alignment
- Validation checklist
Module 3. Building Source-Backed Justification Frameworks
Develop defensible reasoning using ISO 42001 clauses, internal incident histories, and peer-reviewed examples to justify AI governance decisions.
12 chapters in this module
- Clause-to-incident linking
- Internal precedent database
- External benchmarking
- Decision rationale templates
- Version-controlled playbooks
- Cross-team validation
- Escalation paths for disputes
- Auditor-ready artifacts
- Change impact analysis
- Retrospective validation
- Stakeholder communication
- Maintenance cycle plan
Module 4. Embedding ISO 42001 into Existing Problem Workflows
Integrate AI governance requirements seamlessly into current problem management processes without creating parallel overhead.
12 chapters in this module
- Workflow touchpoints
- Gate review integration
- Ticket field enhancements
- Automation triggers
- Reporting integration
- KPI alignment
- Role-based access
- Change control sync
- Knowledge base updates
- Training integration
- Compliance logging
- Continuous monitoring
Module 5. Documenting Defensible Control Implementations
Produce clear, auditable records that show how AI governance decisions were made, reviewed, and validated using ISO 42001 and internal data.
12 chapters in this module
- Statement of Applicability basics
- Control implementation logs
- Evidence collection
- Internal review cycles
- Version history tracking
- Cross-functional sign-off
- Storage policies
- Access controls
- Audit preparation
- Gap remediation log
- Stakeholder summaries
- Annual review process
Module 6. Handling Peer Challenges with Precision
Equip yourself with specific examples, clause references, and internal precedents to confidently respond to skepticism or disagreement on AI governance calls.
12 chapters in this module
- Common pushback types
- Response framework structure
- Clause citation bank
- Internal case library
- Escalation protocols
- Neutral language templates
- Data-backed rebuttals
- Meeting preparation
- Post-engagement follow-up
- Feedback integration
- Dispute resolution path
- Lessons learned archive
Module 7. Leveraging Past Incidents as Governance Evidence
Turn resolved problem tickets into authoritative justification for current AI control decisions, creating a growing library of practical examples.
12 chapters in this module
- Identifying precedent cases
- Classifying usable incidents
- Anonymization process
- Metadata tagging
- Searchable knowledge base
- Relevance scoring
- Cross-service applicability
- Version tracking
- Update triggers
- Retention rules
- Access permissions
- Audit readiness check
Module 8. Aligning AI Decisions with Organizational Risk Appetite
Connect ISO 42001 control choices to company-wide risk thresholds and documented tolerance levels from leadership.
12 chapters in this module
- Risk appetite documentation
- Threshold mapping
- Leadership alignment
- Escalation criteria
- Budget linkage
- Impact assessment
- Control cost-benefit
- Alternative evaluation
- Stakeholder input
- Documentation standards
- Review cycles
- Adjustment protocols
Module 9. Creating Repeatable Decision Playbooks
Develop standardized templates and processes for recurring AI governance decisions, reducing debate and accelerating resolution.
12 chapters in this module
- Playbook structure
- Decision tree design
- Approval workflows
- Template governance
- Version control
- Distribution process
- Training rollout
- Feedback mechanism
- Performance metrics
- Update triggers
- Archival rules
- Lessons integration
Module 10. Maintaining Compliance Across Technology Shifts
Ensure ISO 42001 alignment persists through infrastructure changes, tool migrations, and evolving AI capabilities.
12 chapters in this module
- Change impact assessment
- Control continuity checks
- Technology watch process
- Vendor change management
- Integration testing
- Documentation updates
- Stakeholder notification
- Training updates
- Review cycle sync
- Exception logging
- Remediation planning
- Post-change audit
Module 11. Scaling Defensible Practices Across Teams
Extend your problem management-level rigor to other units dealing with AI governance, becoming a reference point across functions.
12 chapters in this module
- Internal consulting model
- Best practice sharing
- Cross-team workshops
- Mentorship framework
- Standardization incentives
- Performance recognition
- Knowledge transfer
- Tool sharing
- Joint reviews
- Feedback loops
- Scaling thresholds
- Governance committee role
Module 12. Sustaining Defensibility Through Leadership Changes
Build systems that preserve institutional knowledge and decision standards regardless of personnel turnover or restructuring.
12 chapters in this module
- Document ownership
- Succession planning
- Knowledge transfer
- Onboarding integration
- Playbook maintenance
- Review responsibilities
- Leadership transition plan
- Audit trail integrity
- Policy continuity
- Cultural embedding
- Feedback mechanisms
- Long-term health check
How this maps to your situation
- When inheriting a legacy problem queue
- After a major incident involving AI
- During ISO 42001 certification prep
- Facing peer skepticism on control decisions
Before vs. after
Before
AI governance decisions lack traceability, leading to repeated justification cycles and peer skepticism.
After
Every decision is rooted in ISO 42001 clauses and past incidents, with ready references for instant recall under scrutiny.
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 week over 12 weeks, designed to fit around core responsibilities.
If nothing changes
Continuing without a defensible framework means recurring debates, delayed implementations, and vulnerability to audit findings when AI governance decisions lack clear justification.
How this compares to the alternatives
Unlike generic AI governance courses, this program is tailored to problem managers in service organizations, integrating ISO 42001 with real-world incident patterns and defense-ready documentation practices.
Frequently asked
Is this course suitable for someone who hasn't led an ISO 42001 audit?
Yes. The course is designed for practitioners actively managing problems in environments adopting AI, regardless of prior audit leadership experience.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me justify decisions to non-technical stakeholders?
Yes. You'll gain access to clear rationale templates and precedent examples that translate technical decisions into business-relevant justifications.
$199 one-time. Approximately 3 hours per week over 12 weeks, designed to fit around core responsibilities..
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