A tailored course, built for your situation
M&A Escalations and Regulator-Facing Reviews Routed to You Under ISO 42001
Become the default escalation point for high-stakes AI governance work as standards evolve
$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.
Who this is for
Senior transformation leader in a global systems integrator responsible for AI governance, compliance, and operational risk in client-facing programmes
Who this is not for
Individuals seeking entry-level compliance training or general awareness of AI ethics principles without implementation focus
What you walk away with
- Own the review and sign-off queue for AI governance escalations from peer teams
- Receive first referral on M&A-related AI due diligence packages under ISO 42001
- Produce regulator-facing documentation that clears compliance gates without rework
- Build a referenceable track record of closed-loop AI governance under audit conditions
- Establish direct routing paths from senior sponsors to your desk for high-stakes AI reviews
The 12 modules (with all 144 chapters)
Module 1. First internal team to ship a working ISO 42001 SoA
Learn how to initiate and deliver a Statement of Applicability that passes internal audit scrutiny and becomes a reference for other teams.
12 chapters in this module
- Initiating the SoA process
- Scoping AI systems under review
- Identifying control exclusions
- Documenting rationale for omissions
- Mapping to ISO 42001 Annex A
- Engaging legal stakeholders
- Capturing version history
- Securing initial sign-off
- Integrating feedback loops
- Establishing maintenance rhythm
- Benchmarking against peers
- Publishing the final artefact
Module 2. Regulator-facing review packets under ISO 42001
Build audit-ready documentation packages that anticipate regulator questions and reduce follow-up cycles.
12 chapters in this module
- Understanding regulator expectations
- Structuring evidence folders
- Preparing executive summaries
- Compiling control narratives
- Including implementation timelines
- Adding third-party attestations
- Formatting for external access
- Annotating deviation responses
- Versioning control documents
- Assembling cover letters
- Validating completeness
- Delivering securely
Module 3. M&A escalation handling for AI governance
Master the intake and response workflow for AI due diligence requests during merger and acquisition cycles.
12 chapters in this module
- Receiving initial M&A request
- Classifying AI system risk tier
- Initiating data flow mapping
- Assessing vendor contracts
- Reviewing model documentation
- Validating training data lineage
- Checking for bias assessment
- Confirming human oversight
- Evaluating explainability controls
- Reporting findings to sponsor
- Escalating unresolved items
- Closing the review loop
Module 4. Peer team referral routing under ISO 42001
Design intake processes that make your desk the default destination for cross-functional AI governance referrals.
12 chapters in this module
- Defining referral criteria
- Creating intake forms
- Setting SLA expectations
- Automating triage workflows
- Categorizing request types
- Routing to specialists
- Tracking resolution time
- Generating status reports
- Soliciting feedback
- Updating knowledge base
- Improving handover quality
- Reducing bounce rate
Module 5. Documented sign-off chains for AI systems
Establish clear approval trails that survive leadership changes and demonstrate accountability under ISO 42001.
12 chapters in this module
- Identifying decision owners
- Mapping approval levels
- Designing escalation paths
- Capturing digital signatures
- Logging rationale entries
- Archiving decisions
- Linking to control evidence
- Integrating with Jira tickets
- Auditing access history
- Updating for role changes
- Validating chain integrity
- Reporting on sign-off health
Module 6. Repeatable artefacts for AI governance reviews
Develop templates and checklists that accelerate review cycles and maintain consistency across engagements.
12 chapters in this module
- Inventorying common request types
- Designing response templates
- Building checklist libraries
- Standardizing formatting
- Versioning artefacts
- Storing centrally
- Training team members
- Updating for new regulations
- Measuring adoption rate
- Reducing custom work
- Improving response time
- Demonstrating scalability
Module 7. First response to AI incident escalations
Become the primary contact for emerging AI incidents and lead structured response workflows.
12 chapters in this module
- Detecting incident triggers
- Activating response protocol
- Assembling incident team
- Assessing business impact
- Investigating root cause
- Reviewing model logs
- Checking for bias drift
- Notifying affected parties
- Reporting to leadership
- Documenting lessons learned
- Updating controls
- Closing the case
Module 8. Vendor review ownership under ISO 42001
Lead third-party AI vendor assessments with confidence using standardized evaluation criteria.
12 chapters in this module
- Initiating vendor onboarding
- Sending questionnaire
- Reviewing responses
- Assessing AI risk level
- Evaluating training data
- Checking model documentation
- Validating testing process
- Confirming human oversight
- Rating vendor maturity
- Recommending approval
- Escalating concerns
- Closing review
Module 9. Executive visibility on AI governance work
Surface key AI governance milestones and achievements to senior leadership through structured reporting.
12 chapters in this module
- Identifying reporting needs
- Designing dashboard metrics
- Selecting KPIs
- Creating monthly summaries
- Highlighting risk reductions
- Showcasing compliance wins
- Linking to business goals
- Presenting to sponsors
- Gathering leadership input
- Adjusting priorities
- Demonstrating value
- Securing recognition
Module 10. Cross-functional AI governance alignment
Lead coordination across legal, risk, IT, and business units to ensure unified AI governance posture.
12 chapters in this module
- Mapping stakeholder landscape
- Establishing governance council
- Setting meeting rhythm
- Agreeing on definitions
- Aligning on risk tiers
- Coordinating control ownership
- Resolving disputes
- Publishing decisions
- Tracking action items
- Measuring alignment
- Improving collaboration
- Scaling across regions
Module 11. Internal audit readiness under ISO 42001
Prepare proactively for internal audits with complete, organized, and defensible AI governance documentation.
12 chapters in this module
- Understanding audit scope
- Gathering evidence
- Organizing folders
- Validating completeness
- Running pre-audit checks
- Scheduling walkthroughs
- Preparing responses
- Clarifying control mappings
- Demonstrating compliance
- Addressing findings
- Updating records
- Passing with minimal findings
Module 12. Sustaining AI governance through leadership changes
Ensure continuity and resilience of AI governance practices regardless of team or sponsor turnover.
12 chapters in this module
- Documenting playbooks
- Training backups
- Establishing knowledge base
- Conducting handover sessions
- Updating materials
- Verifying understanding
- Maintaining artefacts
- Tracking ownership
- Auditing knowledge health
- Onboarding new leaders
- Preserving institutional memory
- Ensuring sustainability
How this maps to your situation
- M&A due diligence cycle
- Regulator examination window
- Internal audit preparation
- Cross-team governance alignment
Before vs. after
Before
AI governance work arrives ad hoc, with inconsistent formats and unclear ownership, leading to rework and missed visibility.
After
You are the named recipient of high-stakes escalations, producing auditable outputs under ISO 42001 that elevate your role across client and internal programmes.
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, with self-paced access to all materials.
How this compares to the alternatives
Unlike generic AI ethics courses, this programme delivers actionable, ISO 42001-specific artefacts and workflows used by leading practitioners in global enterprises facing real regulatory scrutiny.
Frequently asked
Who is this course designed for?
Senior practitioners leading AI governance, compliance, and risk transformation in enterprise settings where ISO 42001 is being adopted.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this cover other standards like ISO 27001 or SOC 2?
No, this course focuses exclusively on building implementation capacity under ISO 42001 for AI management systems.
$199 one-time. Approximately 3 hours per week over 12 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