A tailored course, built for your situation
Direct ownership of ISO 42001 certification deliverables
Build and govern AI management system documentation with full sign-off authority
$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 on tech spend because AI governance feels outside finance's lane
The situation this course is for
Even with strong fiscal oversight, finance leaders are being bypassed on AI investments because they don’t speak the certification language. That creates budget leakage and misaligned priorities.
Who this is for
Senior finance executive in a tech-driven enterprise who needs to lead AI governance from a capital allocation and compliance posture, not just cost control
Who this is not for
Individuals looking for introductory AI ethics overviews or engineers implementing model cards. This is for executives who must sign off, not build.
What you walk away with
- Produce ISO 42001 Statement of Applicability (SoA) with minimal input loops
- Own the AI management system review package ahead of auditor engagement
- Receive peer-team escalations on AI risk classification with predefined response paths
- Deliver board-facing summaries grounded in certification progress, not opinion
- Lead vendor assessment cycles using ISO 42001 control requirements as evaluation criteria
The 12 modules (with all 144 chapters)
Module 1. Mapping ISO 42001 to capital expenditure workflows
Align AI management system controls with fiscal governance gates and budget cycle milestones. Learn how to trigger ISO 42001 compliance checkpoints at funding decision points.
12 chapters in this module
- ISO 42001 scope definition for AI projects
- Linking control implementation to quarterly CAPEX reviews
- Budgeting for third-party conformity assessments
- Tracking AI risk exposure across portfolio spend
- Integrating ISO 42001 into vendor procurement thresholds
- Defining financial materiality for AI incidents
- Documenting AI risk treatment costs
- Aligning AI controls with SOX implications
- Creating audit trails for AI spend decisions
- Setting tolerance levels for AI experimentation
- Reporting control gaps to audit committee
- Establishing reserves for AI compliance remediation
Module 2. Ownership of Statement of Applicability (SoA)
Build and maintain the SoA as a living document tied to financial oversight. Gain confidence in justifying in-scope and out-of-scope controls based on capital impact.
12 chapters in this module
- Structure of ISO 42001 SoA
- Classifying AI systems by financial exposure
- Control selection rationale documentation
- Relying on existing financial controls
- Mapping controls to AI lifecycle phases
- Documenting deviation justifications
- Review frequency for financial leadership
- Integrating legal risk assessments
- Version control for regulatory submissions
- Cross-referencing with vendor SLAs
- Updating SoA during M&A integration
- Archiving decisions for future audits
Module 3. Leading ISO 42001 readiness assessments
Orchestrate internal readiness checks ahead of certification audits. Coordinate legal, compliance, and engineering inputs under a finance-led timeline.
12 chapters in this module
- Scheduling readiness cycles with audit calendar
- Assigning responsibility for control evidence
- Validating data sources for AI metrics
- Reviewing model inventory completeness
- Assessing accountability frameworks
- Testing incident response playbooks
- Evaluating third-party risk coverage
- Confirming training completion records
- Benchmarking against peer certifications
- Identifying control automation opportunities
- Prioritizing remediation spend
- Finalizing audit package content
Module 4. Managing external certification audits
Own the relationship with certification bodies and define scope boundaries. Ensure auditor requests are fielded through controlled workflows.
12 chapters in this module
- Selecting accredited certification bodies
- Negotiating audit scope and timeline
- Preparing auditors for financial context
- Issuing data access protocols
- Responding to observations
- Escalating technical disputes
- Tracking corrective action plans
- Validating closure of findings
- Reporting outcomes to executive leadership
- Maintaining surveillance schedules
- Budgeting for re-certification
- Archiving audit evidence packages
Module 5. Integrating AI risk with financial reporting
Translate AI control gaps into financial disclosure language. Bridge technical risk with enterprise risk management frameworks.
12 chapters in this module
- Defining material AI risk events
- Estimating potential loss scenarios
- Documenting risk mitigation effectiveness
- Linking controls to ERM categories
- Reporting to audit and risk committees
- Aligning with SOX 404 disclosures
- Assessing insurance coverage fit
- Updating internal control narratives
- Benchmarking against public peers
- Stress-testing AI incident impact
- Reviewing capital allocation impact
- Updating risk appetite statements
Module 6. Governance of AI vendor ecosystems
Apply ISO 42001 requirements to third-party AI providers. Lead vendor assessments with control-based evaluation criteria.
12 chapters in this module
- Classifying vendor AI systems by risk
- Requiring ISO 42001 conformity statements
- Reviewing vendor audit reports
- Assessing model transparency levels
- Evaluating data handling practices
- Negotiating contractual control clauses
- Tracking ongoing compliance
- Managing sub-processor oversight
- Validating incident response commitments
- Auditing vendor environments
- Terminating non-compliant relationships
- Scaling due diligence by spend tier
Module 7. Leading cross-functional AI control design
Own the design of financial and operational controls for AI systems. Coordinate input from engineering, legal, and compliance teams.
12 chapters in this module
- Identifying AI control owners
- Defining control testing procedures
- Documenting control effectiveness
- Integrating with change management
- Aligning with data governance
- Reviewing model validation practices
- Enforcing approval workflows
- Monitoring control automation
- Updating controls for new use cases
- Assessing control scalability
- Retiring obsolete controls
- Reporting control KPIs to leadership
Module 8. Finance-led AI incident response
Lead financial evaluation of AI incidents. Own the cost assessment and disclosure implications of control failures.
12 chapters in this module
- Classifying AI incidents by financial impact
- Activating incident playbooks
- Estimating remediation costs
- Assessing reputational exposure
- Reviewing contractual liabilities
- Updating risk reserves
- Reporting to executive committee
- Coordinating with legal counsel
- Engaging insurance carriers
- Tracking incident trends
- Updating control frameworks
- Communicating to investors
Module 9. M&A integration under ISO 42001
Apply AI governance standards during acquisition integration. Lead due diligence and alignment of AI systems to corporate standards.
12 chapters in this module
- Assessing target AI inventory
- Reviewing existing controls
- Estimating gap remediation cost
- Integrating model registries
- Aligning data governance
- Transferring accountability
- Validating model performance
- Updating risk assessments
- Consolidating vendor contracts
- Updating SoA for combined entity
- Planning joint audits
- Reporting integration progress
Module 10. Training leadership on AI governance
Deliver executive briefings on ISO 42001 compliance posture. Build awareness of financial and strategic implications.
12 chapters in this module
- Developing executive summaries
- Translating controls to business impact
- Highlighting cost avoidance wins
- Demonstrating risk reduction
- Showing compliance ROI
- Communicating audit readiness
- Sharing incident response maturity
- Presenting vendor oversight
- Illustrating governance scalability
- Linking to strategic goals
- Answering leadership questions
- Updating governance dashboards
Module 11. Sustaining certification across business cycles
Maintain ISO 42001 compliance through budget shifts and leadership changes. Ensure continuity of financial oversight.
12 chapters in this module
- Budgeting for ongoing compliance
- Updating controls for new regulations
- Adapting to organizational changes
- Maintaining documentation systems
- Revising risk assessments
- Re-evaluating control effectiveness
- Updating training programs
- Refreshing vendor assessments
- Aligning with technology strategy
- Reporting to board committees
- Preparing for auditor changes
- Archiving historical evidence
Module 12. Scaling AI governance across the enterprise
Expand ISO 42001 compliance to new business units. Lead enterprise-wide adoption with finance oversight.
12 chapters in this module
- Identifying new scope areas
- Assessing business unit readiness
- Allocating implementation resources
- Setting compliance timelines
- Providing centralized support
- Standardizing control implementation
- Monitoring progress metrics
- Sharing best practices
- Addressing resistance
- Celebrating milestones
- Optimizing for cost efficiency
- Reporting enterprise-wide status
How this maps to your situation
- Preparing for external audit
- Responding to regulator inquiry
- Onboarding new AI vendor
- Integrating acquisition
Before vs. after
Before
Reliant on compliance teams to explain AI governance status, with limited input on control scope or certification timing.
After
Owns the ISO 42001 certification package, receives peer escalations, and leads executive briefings on AI risk posture.
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: 6-8 hours total, designed for completion in short sessions between meetings.
If nothing changes
Continuing to treat AI governance as a compliance task cedes strategic influence to technical teams and increases exposure to unmanaged risk in high-spend AI initiatives.
How this compares to the alternatives
Unlike generic AI ethics courses, this program focuses on the specific artefacts and decision rights that define ISO 42001 ownership, SoA authorship, audit response leadership, and cross-functional escalation authority.
Frequently asked
Who is this course for?
Senior finance and risk leaders who must own AI governance outcomes, not just monitor them.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help with regulatory exams?
Yes. You’ll receive templates for regulator-facing responses and audit evidence packages aligned with ISO 42001.
$199 one-time. 6-8 hours total, designed for completion in short sessions between meetings..
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