A tailored course, built for your situation
Expanded Scope in AI Governance with ISO 42001
Master the framework to lead broader AI governance initiatives in your current role
$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 overlooked for governance leadership despite being in a trusted comms role
The situation this course is for
Skilled communicators are often sidelined in AI governance design, even when they're closest to stakeholder concerns and escalation patterns. Without formal frameworks, influence stays limited to messaging, not mandate.
Who this is for
Strategic comms lead at a high-growth tech firm, trusted to shape narrative and manage escalation risk around AI deployment
Who this is not for
Individuals seeking entry-level compliance training or technical AI auditing roles
What you walk away with
- Own the end-to-end AI governance narrative across legal, risk, and engineering teams
- Produce ISO 42001-compliant documentation that triggers formal recognition
- Lead cross-functional workshops on AI risk categorization using standardized criteria
- Embed governance requirements directly into comms planning cycles
- Build repeatable artefacts that compound influence across initiatives
The 12 modules (with all 144 chapters)
Module 1. Introducing ISO 42001 and the AI Governance Shift
Understand how ISO 42001 redefines governance ownership and creates new space for comms-integrated leadership.
12 chapters in this module
- What changed with ISO 42001
- Why comms roles are now central
- Governance vs oversight distinction
- Key clauses every practitioner owns
- Mapping organizational impact
- Identifying governance champions
- Tracking adoption across sectors
- Early signaling in earnings calls
- Vendor positioning shifts
- Stakeholder expectation curves
- Regulatory alignment patterns
- Internal readiness indicators
Module 2. Framing AI Risk with Comms Precision
Translate technical risk into narrative structures that align leadership and reduce escalation cycles.
12 chapters in this module
- Risk tiers and language guides
- Escalation path mapping
- Tone and audience matrices
- Prebunking misinformation loops
- Defining 'acceptable use' clearly
- Boundary setting with engineering
- Handling external inquiries
- Crisis narrative scaffolds
- Attribution framing rules
- Feedback loop integration
- Version control for statements
- Cross-channel consistency
Module 3. Building the AI Governance Statement of Applicability
Step through crafting a living SoA that reflects real deployment scope and decision weight.
12 chapters in this module
- Starting your SoA draft
- Clause selection logic
- Exclusion justification templates
- Stakeholder review workflow
- Versioning and audit trail
- Linking to data lineage
- Updating after model changes
- Sign off escalation path
- Legal alignment checklist
- Engineering handoff points
- Third party service inclusions
- Public facing summary derivation
Module 4. Designing Cross-Functional Governance Workshops
Run sessions that produce documented outcomes and expand your decision footprint.
12 chapters in this module
- Workshop goal definition
- Invitation rationale design
- Pre-read package assembly
- Role cards for clarity
- Consensus capture method
- Decision logging format
- Risk categorization exercise
- Policy exception tracking
- Action owner assignment
- Follow up rhythm setup
- Executive summary derivation
- Archiving for audits
Module 5. Documenting AI Management System Policies
Create clear, enforceable policies that reflect actual workflows and stakeholder weight.
12 chapters in this module
- Policy vs procedure distinction
- Ownership declaration format
- Approval chain mapping
- Integration with code deployment
- Model lifecycle triggers
- Change request pathways
- Review cycle definitions
- Version control rules
- Retention and access rules
- Localization requirements
- Translation protocols
- Public disclosure filters
Module 6. Implementing Governance Across AI Lifecycles
Embed controls at design, training, deployment, and monitoring phases.
12 chapters in this module
- Design phase check in points
- Training data provenance
- Bias assessment timing
- Stakeholder alignment gates
- Deployment approval chain
- Monitoring threshold setting
- Drift detection escalation
- Incident response playbooks
- Model retirement rules
- Audit readiness triggers
- External certification paths
- Lessons capture workflow
Module 7. Conducting AI Governance Risk Assessments
Lead assessments that result in documented actions and expanded oversight scope.
12 chapters in this module
- Scoping the assessment
- Stakeholder identification
- Risk matrix customization
- Data source integration
- Model inventory linkage
- Impact scoring guide
- Likelihood calibration
- Risk treatment options
- Mitigation validation
- Residual risk documentation
- Reporting structure alignment
- External benchmark use
Module 8. Managing Third-Party AI Governance
Extend your framework to vendors and partners without direct control.
12 chapters in this module
- Vendor risk tiers
- Contractual clause library
- Audit right negotiation
- Compliance verification steps
- Subprocessor tracking
- Model card requirements
- Performance benchmarking
- Incident notification terms
- Exit strategy clauses
- Renewal leverage points
- Certification acceptance rules
- Liability allocation models
Module 9. Creating Audit-Ready Governance Artefacts
Produce documentation that survives scrutiny and positions you as the reference point.
12 chapters in this module
- Artifact version control
- Evidence trail structure
- Cross-module consistency
- Timestamping protocols
- Storage location rules
- Access control setup
- Review cycle logging
- Update justification documentation
- Stakeholder alignment proof
- Change order integration
- External auditor prep
- Follow up response workflow
Module 10. Improving Governance Maturity with Metrics
Define and track KPIs that reflect growing influence and operational resilience.
12 chapters in this module
- Defining maturity levels
- Lead lag indicator selection
- Escalation volume tracking
- Decision cycle time measurement
- Stakeholder coverage index
- Policy exception rate
- Audit finding trends
- Training completion rates
- Incident recurrence metrics
- Compliance coverage score
- External validation count
- Leadership escalation frequency
Module 11. Leading AI Ethics Review Boards
Structure and guide forums that combine technical insight with societal impact awareness.
12 chapters in this module
- Board charter drafting
- Membership criteria
- Agenda design logic
- Case review templates
- Decision documentation
- Bias impact scoring
- Transparency threshold rules
- Community impact assessment
- Remediation tracking
- Public summary derivation
- Legal risk calibration
- External advisor integration
Module 12. Scaling Governance Through Training and Enablement
Develop programs that spread ownership while maintaining central coherence.
12 chapters in this module
- Role based training paths
- Onboarding integration
- Manager enablement kits
- Self assessment tools
- Refresher cycle design
- Certification pathways
- Knowledge retention methods
- FAQ evolution process
- Misconception tracking
- Escalation reduction goals
- Feedback loop design
- Train the trainer framework
How this maps to your situation
- After product team requests AI risk guidance
- Before executive review of AI initiatives
- During vendor onboarding for AI tools
- When external inquiries increase about AI use
Before vs. after
Before
Responding to governance requests without central authority or standardized approach
After
Leading cross-functional AI governance design with documented frameworks and growing stakeholder reliance
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 for completion within 6 weeks with steady progress.
If nothing changes
Continuing to react to governance demands without shaping the framework means missed opportunities to lead, reduced influence during escalations, and slower recognition of your strategic value.
How this compares to the alternatives
Unlike generic compliance courses, this program focuses specifically on expanding your mandate using ISO 42001, with templates and workflows tailored to comms-savvy practitioners in technical organizations.
Frequently asked
Who is this course for?
Comms, policy, and governance leads in tech organizations who want to expand their influence over AI governance without changing roles.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I use this if my company already has an AI governance team?
Yes. This course helps you strengthen your position within existing structures and earn broader responsibility.
$199 one-time. Approximately 3 hours per module, designed for completion within 6 weeks with steady progress..
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