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CMP2990 Mastering ISO 42001 for Senior Risk and Compliance Leaders in Professional Services

$199.00
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A tailored course, built for your situation

Mastering ISO 42001 for Senior Risk and Compliance Leaders in Professional Services

Build authoritative command of AI governance frameworks with structured implementation pathways tailored to complex advisory environments.

$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.
Generic AI governance training doesn’t close the gap between advisory insight and audit-ready execution.

The situation this course is for

Most practitioners can cite ISO 42001 clauses, but few can ship a complete Statement of Applicability that survives partner review, or build a control mapping that aligns with existing SOC 2 and NIST CSF workflows. The miss? A lack of end-to-end operational knowledge, the kind that turns frameworks into reproducible outcomes.

Who this is for

Senior risk, compliance, or governance lead in a professional services firm; responsible for translating AI governance standards into client-ready deliverables with speed and precision.

Who this is not for

This is not for junior analysts, technology implementers without advisory exposure, or those seeking certification prep only. It assumes familiarity with compliance lifecycle concepts and client delivery contexts.

What you walk away with

  • Produce a fully compliant ISO 42001 Statement of Applicability in under 10 days
  • Map AI-specific controls to pre-existing SOC 2 and NIST CSF environments
  • Lead client workshops with source-backed rationale for control exclusions
  • Anticipate common audit findings and build pre-emptive documentation
  • Operationalize AI governance as a repeatable, differentiating service line

The 12 modules (with all 144 chapters)

Module 1. Understanding the ISO 42001 Standard and Its Strategic Context
Establish foundational clarity on ISO 42001’s scope, intent, and alignment with global AI governance trends. Learn how it complements existing frameworks like NIST AI 100-1 and OECD Principles, and how to position it within client maturity assessments.
12 chapters in this module
  1. Introduction to AI governance and the role of ISO standards
  2. Historical development of ISO 42001 and key driving factors
  3. Core objectives and high-level structure of the standard
  4. Relationship between ISO 42001 and other frameworks like NIST CSF
  5. Differences between ISO 42001 and ISO/IEC 27001 controls
  6. Sector-specific applications in professional services and consulting
  7. How ISO 42001 supports organizational accountability for AI
  8. Understanding the roles of developers, deployers, and auditors
  9. Key terminology and definitions used in the standard
  10. Governance vs risk management focus in AI systems
  11. Integration with enterprise risk management frameworks
  12. Common misconceptions about ISO 42001 scope and applicability
Module 2. Initiating the ISO 42001 Project and Securing Stakeholder Alignment
Learn how to launch an ISO 42001 initiative with executive clarity and cross-functional buy-in. Focus on defining objectives, scoping boundaries, and aligning with strategic priorities in advisory-led environments.
12 chapters in this module
  1. Defining project goals for ISO 42001 implementation
  2. Identifying internal and external stakeholders
  3. Securing leadership sponsorship and resources
  4. Establishing governance structure for the project
  5. Creating a project charter with clear objectives
  6. Setting realistic timelines and milestones
  7. Aligning ISO 42001 with client delivery timelines
  8. Managing expectations across legal, tech, and operations
  9. Developing communication plans for rollout
  10. Building cross-functional engagement strategies
  11. Leveraging existing compliance infrastructure
  12. Avoiding common initiation-phase delays
Module 3. Conducting Organizational Context and Scope Definition
Define what falls inside and outside the scope of ISO 42001 with precision. Understand how to assess organizational context, identify interested parties, and document scope justifications that hold up under review.
12 chapters in this module
  1. Assessing organizational context for AI governance
  2. Identifying internal and external interested parties
  3. Defining scope boundaries for AI systems
  4. Documenting rationale for in-scope and out-of-scope decisions
  5. Integrating scope with client engagement models
  6. Addressing jurisdictional and regulatory overlaps
  7. Using maturity models to inform scope depth
  8. Aligning scope with service delivery boundaries
  9. Handling multi-jurisdictional AI deployments
  10. Documenting dependencies on third-party AI models
  11. Managing scope creep in complex advisory projects
  12. Validating scope with legal and compliance teams
Module 4. Establishing Leadership Roles and Accountability Frameworks
Clarify leadership responsibilities required under ISO 42001. Learn how to assign roles, define accountability, and ensure management commitment in client-facing advisory contexts.
12 chapters in this module
  1. Understanding top management responsibilities
  2. Assigning roles for AI governance oversight
  3. Defining accountability for AI system lifecycle
  4. Developing leadership engagement strategies
  5. Creating board-level reporting mechanisms
  6. Ensuring management commitment to AI ethics
  7. Integrating AI governance into performance reviews
  8. Establishing escalation paths for AI incidents
  9. Documenting decision-making authorities
  10. Aligning leadership roles with client expectations
  11. Managing distributed leadership across geographies
  12. Handling leadership transitions in ongoing projects
Module 5. Developing AI Governance Policies and Ethical Principles
Build compliant and defensible AI governance policies grounded in ISO 42001 requirements. Learn how to codify ethical principles, data handling rules, and transparency commitments.
12 chapters in this module
  1. Creating organization-wide AI governance policy
  2. Defining ethical principles for AI development
  3. Establishing transparency and explainability standards
  4. Setting data quality and bias mitigation requirements
  5. Documenting policy approval and review cycles
  6. Integrating policy with client contractual terms
  7. Handling conflicts between client needs and policy
  8. Updating policies in response to regulatory changes
  9. Communicating policy across internal teams
  10. Enforcing policy adherence in project delivery
  11. Auditing policy compliance across engagements
  12. Linking policy to disciplinary actions
Module 6. Risk Assessment and Treatment Methodology
Apply a systematic approach to identifying, analyzing, and treating AI-related risks. Learn how to document risk assessments, prioritize exposures, and validate treatment plans.
12 chapters in this module
  1. Establishing risk assessment criteria and thresholds
  2. Identifying AI-specific risk scenarios
  3. Conducting risk impact and likelihood analysis
  4. Prioritizing risks for treatment
  5. Selecting risk treatment options
  6. Developing risk treatment plans
  7. Assigning ownership for risk mitigation
  8. Integrating risk assessment with client workflows
  9. Validating effectiveness of risk treatments
  10. Maintaining risk register documentation
  11. Handling residual risk acceptance
  12. Updating risk assessments annually or after major changes
Module 7. Designing AI System Lifecycle Controls
Implement controls across the AI lifecycle , from design and development to deployment and monitoring. Focus on practical integration with existing SDLC and DevOps practices.
12 chapters in this module
  1. Applying controls during AI system conception
  2. Ensuring data quality and provenance in training sets
  3. Validating model development processes
  4. Implementing bias detection and correction methods
  5. Securing AI model deployment pipelines
  6. Monitoring AI system performance in production
  7. Establishing feedback loops for continuous improvement
  8. Handling model updates and retraining
  9. Controlling access to AI models and data
  10. Managing third-party AI component risks
  11. Documenting control implementation
  12. Integrating lifecycle controls with client delivery
Module 8. Building the Statement of Applicability (SoA)
Create a comprehensive and defensible SoA that justifies control inclusion and exclusion. Learn how to align it with organizational context and client-specific requirements.
12 chapters in this module
  1. Understanding the purpose of the Statement of Applicability
  2. Listing applicable controls from ISO 42001 Annex A
  3. Justifying control exclusions with documented rationale
  4. Aligning SoA with client risk profiles
  5. Linking SoA to existing compliance frameworks
  6. Using SoA to guide audit preparation
  7. Maintaining version control of the SoA
  8. Reviewing SoA annually or after changes
  9. Incorporating client feedback into SoA updates
  10. Training teams on SoA interpretation
  11. Ensuring SoA is accessible to auditors
  12. Avoiding common SoA pitfalls in advisory settings
Module 9. Implementing Control Mapping and Integration Strategies
Map ISO 42001 controls to existing governance structures, including SOC 2, NIST CSF, and internal audit frameworks. Learn how to avoid duplication and ensure coherence.
12 chapters in this module
  1. Creating a unified control mapping matrix
  2. Aligning ISO 42001 with SOC 2 requirements
  3. Integrating controls with NIST CSF functions
  4. Mapping to internal audit checklists
  5. Avoiding control redundancy across frameworks
  6. Using automation tools for control tracking
  7. Validating control effectiveness through testing
  8. Documenting control ownership and maintenance
  9. Handling control gaps in hybrid environments
  10. Updating mappings after framework revisions
  11. Training teams on cross-framework navigation
  12. Demonstrating integration maturity to clients
Module 10. Audit Readiness and Evidence Compilation
Prepare for internal and external audits by compiling and organizing evidence. Learn how to structure documentation workflows that reduce last-minute scrambling.
12 chapters in this module
  1. Understanding audit requirements for ISO 42001
  2. Identifying required evidence for each control
  3. Organizing documentation for auditor access
  4. Conducting internal readiness reviews
  5. Training teams on audit response protocols
  6. Handling auditor inquiries efficiently
  7. Documenting corrective actions
  8. Using checklists to streamline preparation
  9. Integrating audit prep into project timelines
  10. Reducing evidence collection time
  11. Maintaining evidence repositories
  12. Ensuring consistency across client engagements
Module 11. Continuous Monitoring and Performance Evaluation
Establish processes for ongoing monitoring of AI systems and governance effectiveness. Learn how to measure performance and drive improvements.
12 chapters in this module
  1. Defining key performance indicators for AI governance
  2. Monitoring AI system behavior in production
  3. Detecting drift in model performance
  4. Conducting regular control effectiveness reviews
  5. Using dashboards for real-time oversight
  6. Scheduling periodic governance audits
  7. Incorporating lessons learned into updates
  8. Updating policies based on monitoring results
  9. Reporting metrics to leadership
  10. Benchmarking against industry peers
  11. Integrating feedback from client incidents
  12. Planning for continuous improvement cycles
Module 12. Maintaining Certification and Driving Improvement
Sustain ISO 42001 compliance over time and drive incremental improvements. Learn how to manage surveillance audits, update documentation, and evolve the program.
12 chapters in this module
  1. Scheduling annual surveillance audits
  2. Preparing for recertification cycles
  3. Updating documentation for ongoing compliance
  4. Managing changes to AI systems or controls
  5. Communicating updates to stakeholders
  6. Driving cultural adoption of AI governance
  7. Benchmarking against emerging best practices
  8. Expanding governance to new AI use cases
  9. Leveraging certification for client differentiation
  10. Training new staff on ISO 42001 requirements
  11. Integrating lessons from audit findings
  12. Scaling governance across business units

How this maps to your situation

  • Preparing for client-specific AI governance implementations
  • Leading audit-readiness initiatives across engagements
  • Standardizing internal advisory methodologies
  • Strengthening defensibility of client recommendations

Before vs. after

Before
Spending excessive time reconciling ISO 42001 requirements with client-specific needs, lacking a structured approach to control mapping and audit preparation.
After
Producing consistent, defensible deliverables on tighter timelines, with reusable templates and a clear methodology that elevates advisory credibility.

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 90 minutes per week over six weeks, designed to fit around client delivery cycles.

If nothing changes
Without structured implementation knowledge, teams risk inconsistent application of ISO 42001, leading to audit failures, client distrust, and missed opportunities to differentiate advisory services in a competitive market.

How this compares to the alternatives

Generic online courses cover ISO 42001 theory but lack advisory-specific workflows. Competitor certifications focus on memorization, not practical application. This course delivers actionable implementation tools used in real-world professional services environments.

Frequently asked

Is this course focused on certification exam prep?
No. This course is designed for practical implementation, not exam preparation. It focuses on how to apply ISO 42001 in advisory and client delivery contexts.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive templates I can use with clients?
Yes. Every module includes downloadable, customizable templates and worked examples applicable to real advisory engagements.
$199 one-time. Approximately 90 minutes per week over six weeks, designed to fit around client delivery cycles..

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
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