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Influence Across More Business Units with ISO 42001

$199.00
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A tailored course, built for your situation

Influence Across More Business Units with ISO 42001

Turn AI governance from a compliance task into a strategic lever across regions, functions, and client engagements

$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.
Getting pulled into fragmented AI governance efforts across teams without clear ownership or standards

The situation this course is for

As AI adoption accelerates, practitioners are caught between high expectations and low-definition frameworks. Without a unified standard, efforts stall across regions and business units. The cost? Diluted impact, repeated work, and narrow influence.

Who this is for

Senior consulting managers leading AI governance in global services firms, advising cross-functional teams on compliance and risk

Who this is not for

Individuals looking for introductory AI ethics overviews or non-technical philosophy courses on responsible AI

What you walk away with

  • Lead ISO 42001 scoping decisions across diverse AI systems and business functions
  • Orchestrate cross-regional control assessments with documented confidence
  • Deploy a repeatable AI governance playbook across client engagements
  • Earn recognition as the internal reference for AI accountability frameworks
  • Expand advisory reach into new business units and service lines

The 12 modules (with all 144 chapters)

Module 1. Mapping AI Systems to ISO 42001 Scope Boundaries
Learn how to define what counts as an AI system under the standard and set clear boundaries for governance applicability across enterprise units.
12 chapters in this module
  1. Defining AI systems per ISO 42001 clause 4 1
  2. Classifying systems by risk impact and automation level
  3. Setting scope thresholds for audit readiness
  4. Excluding non-AI decision support tools
  5. Documenting rationale for scope inclusion
  6. Aligning scope with existing client compliance frameworks
  7. Handling borderline cases in machine learning ops
  8. Managing scope creep in agile environments
  9. Engaging engineering leads in boundary setting
  10. Versioning scope documentation for reuse
  11. Integrating scope decisions with vendor contracts
  12. Avoiding overreach in low-risk AI use cases
Module 2. Assigning Control Ownership Across Teams
Establish clear accountability for AI governance controls across technical, legal, and business teams to ensure consistent execution.
12 chapters in this module
  1. Identifying control owners in distributed teams
  2. Matching controls to role-based responsibilities
  3. Documenting RACI matrices for audit trails
  4. Negotiating ownership with regional leads
  5. Handling shared ownership in joint ventures
  6. Clarifying handoffs between dev and compliance
  7. Managing turnover in control owner roles
  8. Using playbooks to standardize owner briefings
  9. Validating understanding through walkthroughs
  10. Updating ownership for system changes
  11. Linking ownership to performance metrics
  12. Integrating with client SLAs and governance terms
Module 3. Conducting Multi-Region Compliance Assessments
Adapt ISO 42001 assessments to regional legal and operational differences while maintaining framework consistency.
12 chapters in this module
  1. Benchmarking regional data handling norms
  2. Adjusting assessment rigor by jurisdiction
  3. Mapping local laws to control requirements
  4. Scheduling staggered audit cycles
  5. Centralizing findings without losing context
  6. Training regional assessors on core principles
  7. Standardizing evidence collection formats
  8. Handling language and timezone challenges
  9. Calibrating risk ratings across offices
  10. Reporting consolidated status to leadership
  11. Managing time-sensitive findings
  12. Using templates to reduce assessor ramp time
Module 4. Developing Reusable AI Governance Playbooks
Create adaptable, field-tested playbooks that accelerate deployment across new teams and geographies.
12 chapters in this module
  1. Capturing lessons from first implementation
  2. Structuring playbook sections for clarity
  3. Including decision trees for common scenarios
  4. Adding annotated examples from real cases
  5. Versioning control for team collaboration
  6. Embedding compliance checklists by phase
  7. Linking playbook steps to ISO 42001 clauses
  8. Formatting for mobile and offline access
  9. Integrating with client documentation standards
  10. Updating playbooks after audit feedback
  11. Training new consultants using the playbook
  12. Scaling playbook use across service lines
Module 5. Leading Cross-Functional AI Risk Reviews
Run effective sessions that bring together technical, legal, and business stakeholders to assess AI system risks.
12 chapters in this module
  1. Setting agenda for risk review meetings
  2. Preparing pre-reads with system context
  3. Facilitating consensus on risk levels
  4. Documenting rationale for risk decisions
  5. Incorporating external auditor perspectives
  6. Managing conflicting stakeholder views
  7. Introducing bias detection thresholds
  8. Using scoring models to rank risks
  9. Linking risk outcomes to control design
  10. Tracking action items post-review
  11. Improving review efficiency over time
  12. Adapting formats for virtual attendance
Module 6. Designing AI System Documentation Packages
Produce complete, consistent documentation required for ISO 42001 audits across diverse AI applications.
12 chapters in this module
  1. Listing required artifacts per clause
  2. Creating system description templates
  3. Documenting training data provenance
  4. Recording human oversight mechanisms
  5. Specifying accuracy monitoring procedures
  6. Detailing cybersecurity safeguards
  7. Including third-party component disclosures
  8. Standardizing version control practices
  9. Organizing files for auditor access
  10. Automating documentation updates
  11. Redacting sensitive client details
  12. Validating completeness before submission
Module 7. Implementing Human Oversight Mechanisms
Ensure effective human review of AI systems in production, aligned with ISO 42001 requirements.
12 chapters in this module
  1. Defining oversight roles by system type
  2. Setting frequency of human review cycles
  3. Designing escalation paths for anomalies
  4. Training reviewers on expected behavior
  5. Documenting intervention decisions
  6. Integrating oversight with incident response
  7. Measuring review effectiveness over time
  8. Auditing oversight logs for compliance
  9. Balancing automation with review load
  10. Using dashboards to support oversight
  11. Adapting mechanisms for real-time systems
  12. Reporting oversight metrics to leadership
Module 8. Managing AI System Lifecycle Transitions
Apply ISO 42001 controls consistently as AI systems move from development to production and retirement.
12 chapters in this module
  1. Applying controls at each lifecycle phase
  2. Setting entry criteria for production
  3. Documenting change management approvals
  4. Updating risk assessments after updates
  5. Validating controls in staging environments
  6. Planning for model retraining cycles
  7. Handling emergency rollbacks
  8. Tracking system version history
  9. Managing dependencies between models
  10. Retiring systems with full documentation
  11. Transferring ownership during handovers
  12. Archiving records for audit access
Module 9. Integrating Third-Party AI Components
Ensure vendor-built or open-source AI components meet ISO 42001 standards within client environments.
12 chapters in this module
  1. Assessing vendor compliance posture
  2. Reviewing third-party documentation
  3. Verifying control implementation claims
  4. Conducting spot checks on AI outputs
  5. Managing license and IP risks
  6. Including vendors in risk assessments
  7. Setting integration approval criteria
  8. Monitoring performance in production
  9. Handling updates from external sources
  10. Enforcing SLAs for AI behavior
  11. Auditing third-party logs and access
  12. Documenting component dependencies
Module 10. Applying Cybersecurity Controls to AI Systems
Extend traditional security practices to protect AI models, data, and inference pipelines.
12 chapters in this module
  1. Identifying AI-specific attack surfaces
  2. Securing model training environments
  3. Protecting against data poisoning
  4. Detecting adversarial inputs
  5. Hardening inference APIs
  6. Managing access to model parameters
  7. Encrypting sensitive training data
  8. Logging model behavior changes
  9. Validating input integrity
  10. Responding to model compromise
  11. Integrating with existing security tools
  12. Auditing security controls quarterly
Module 11. Conducting Internal ISO 42001 Audits
Lead internal audits that validate compliance and prepare teams for external assessment.
12 chapters in this module
  1. Scheduling audit cycles by risk level
  2. Selecting auditors with relevant expertise
  3. Developing checklists from framework clauses
  4. Collecting evidence from system owners
  5. Interviewing control owners effectively
  6. Recording observations with clarity
  7. Prioritizing findings by impact
  8. Writing clear non-conformance reports
  9. Tracking correction timelines
  10. Verifying closure of actions
  11. Reporting results to management
  12. Using audit data to improve playbooks
Module 12. Preparing for External ISO 42001 Certification
Guide organizations through successful third-party certification with confidence and minimal disruption.
12 chapters in this module
  1. Selecting accredited certification bodies
  2. Understanding auditor expectations
  3. Compiling documentation packages
  4. Preparing teams for interviews
  5. Conducting pre-certification dry runs
  6. Addressing pre-audit findings
  7. Scheduling audit windows strategically
  8. Coordinating multi-site assessments
  9. Responding to auditor inquiries
  10. Managing certification body communications
  11. Implementing post-certification improvements
  12. Maintaining certification over time

How this maps to your situation

  • Leading first ISO 42001 engagement for a client
  • Expanding AI governance across regional offices
  • Onboarding new team members to the framework
  • Supporting multiple clients with varying maturity

Before vs. after

Before
Managing AI governance as fragmented initiatives across teams and regions, with inconsistent standards and limited influence.
After
Leading unified, repeatable ISO 42001 implementations across business units, recognized as the trusted advisor on AI accountability.

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 60 minutes per module, designed for busy practitioners to complete at their own pace over 4-6 weeks.

If nothing changes
Continuing with ad-hoc AI governance approaches risks duplicated effort, audit failures, and missed opportunities to expand advisory reach into high-impact client areas.

How this compares to the alternatives

Unlike generic AI ethics courses or high-level compliance overviews, this program delivers actionable, step-by-step guidance specific to ISO 42001 implementation in consulting environments, with field-tested templates and real-world examples from multi-region deployments.

Frequently asked

Is this course suitable for practitioners outside of consulting?
While designed with consulting managers in mind, anyone implementing ISO 42001 in complex, multi-stakeholder environments will benefit from the structured approach and reusable artifacts.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I use this to prepare for ISO 42001 certification?
Yes. The course covers all requirements and practical steps needed to lead a successful certification effort, including documentation, audits, and stakeholder alignment.
$199 one-time. Approximately 60 minutes per module, designed for busy practitioners to complete at their own pace over 4-6 weeks..

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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