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DAT4508 Mastering ISO 42001 for Change Managers in Global Consulting

$199.00
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What is the ISO 42001 for Change Managers course about?

Mid-to-senior level Change Manager in a global consulting or systems integration firm, actively involved in digital transformation, AI adoption, or governance rollout, with influence across delivery teams but not formally responsible for AI policy.

Who is the ISO 42001 for Change Managers course for?

Mid-to-senior level Change Manager in a global consulting or systems integration firm, actively involved in digital transformation, AI adoption, or governance rollout, with influence across delivery teams but not formally responsible for AI policy.

Who is the ISO 42001 for Change Managers course not for?

Entry-level consultants, auditors looking for checklist training, or executives seeking board-level summaries. This is for hands-on practitioners ready to stretch their mandate.

What do you take away from the ISO 42001 for Change Managers course?

Define and own the AI governance framework within transformation programs Integrate ISO 42001 controls into change lifecycle deliverables without adding friction Position yourself as the internal authority on AI risk decisions Design repeatable governance patterns that scale across engagements Earn unchallenged sign-off on AI project approvals and audit readiness.

How does this map to your situation?

Onboarding a new AI tool in a client environment Leading change for an AI-powered automation initiative Responding to internal audit findings on AI risk Designing governance for a multi-year transformation program.

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.

What does the ISO 42001 for Change Managers cover on delivery and format?

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 to be completed over 4-6 weeks with flexible pacing.

How does this compare to the alternatives?

Unlike generic compliance training or vendor-led certifications, this course is tailored to change managers in consulting, focusing on influence, execution, and real-world decision-making, not abstract theory.

Closely related courses: Global Consulting Operations Practice Reset, Global Consulting Manager's Portfolio-Authorship Playbook, Global Consulting VP's Practice-Anchor Playbook, Learning Operations for Global Consulting Teams.

More answers: what you get with every course, refund policy, all help answers.

A tailored course, built for your situation

Mastering ISO 42001 for Change Managers in Global Consulting

Build authoritative AI governance frameworks that expand your remit without requiring a title change

$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

Mid-to-senior level Change Manager in a global consulting or systems integration firm, actively involved in digital transformation, AI adoption, or governance rollout, with influence across delivery teams but not formally responsible for AI policy.

Who this is not for

Entry-level consultants, auditors looking for checklist training, or executives seeking board-level summaries. This is for hands-on practitioners ready to stretch their mandate.

What you walk away with

  • Define and own the AI governance framework within transformation programs
  • Integrate ISO 42001 controls into change lifecycle deliverables without adding friction
  • Position yourself as the internal authority on AI risk decisions
  • Design repeatable governance patterns that scale across engagements
  • Earn unchallenged sign-off on AI project approvals and audit readiness

The 12 modules (with all 144 chapters)

Module 1. Understanding ISO 42001 and Its Role in Change Management
Lay the foundation by connecting ISO 42001’s AI governance requirements to real-world change initiatives. Learn how this standard positions change leaders as gatekeepers of responsible AI adoption.
12 chapters in this module
  1. What ISO 42001 actually requires
  2. How it differs from ISO 27001 and SOC 2
  3. AI governance vs AI ethics: where change managers add value
  4. Mapping AI risks to change impact areas
  5. The four pillars of ISO 42001 compliance
  6. Why consultants are first to see gaps
  7. Linking AI controls to transformation KPIs
  8. When to escalate vs when to decide
  9. Stakeholder roles in AI governance
  10. How CGI positions ISO 42001 in client work
  11. Common misinterpretations of clause 8
  12. Building internal credibility on AI standards
Module 2. Integrating ISO 42001 into Change Lifecycle Deliverables
Embed compliance seamlessly into change artifacts like impact assessments, communication plans, and readiness reviews, without slowing delivery.
12 chapters in this module
  1. Adding AI governance to change impact templates
  2. Updating RAIDs for AI risk
  3. Change request forms with AI flags
  4. AI considerations in comms planning
  5. Training plans for AI-enabled workflows
  6. How to modify adoption metrics
  7. Integrating control checks into stage gates
  8. Updating transition checklists
  9. Managing AI-related resistance
  10. Linking AI controls to OB plans
  11. Documenting decisions for audit
  12. Versioning governance alongside change
Module 3. Designing AI Governance Frameworks for Client Programs
Move from participant to designer by creating reusable governance structures tailored to different client industries and risk appetites.
12 chapters in this module
  1. Scoping AI governance by industry
  2. Tailoring controls for financial services
  3. Healthcare-specific AI risks
  4. Manufacturing and operational AI
  5. Building client-specific playbooks
  6. Templates for AI risk registers
  7. Designing governance tiering models
  8. Client engagement strategies
  9. How to position yourself as the owner
  10. Pricing governance as value-add
  11. Integrating with client audit cycles
  12. Handover strategies for sustainability
Module 4. Establishing Authority Without Formal Mandate
Leverage existing influence to become the go-to decision-maker on AI governance, even without a formal policy role.
12 chapters in this module
  1. Identifying key decision inflection points
  2. Positioning yourself early in AI projects
  3. Using past wins as social proof
  4. Creating visible artefacts that attract attention
  5. How to answer tough questions confidently
  6. Building coalitions with security teams
  7. Aligning with internal audit priorities
  8. Communicating governance as enablement
  9. Handling pushback from technical teams
  10. Documenting decisions to build trust
  11. Earning unasked-for approvals
  12. Becoming the default reviewer
Module 5. Building Repeatable AI Governance Patterns
Turn one-off compliance tasks into scalable, repeatable processes that compound across engagements and elevate your strategic value.
12 chapters in this module
  1. Identifying reusable components
  2. Creating modular control libraries
  3. Standardizing documentation formats
  4. Developing go/no-go checklists
  5. Building quick-start templates
  6. Packaging governance for reuse
  7. Version control for frameworks
  8. Measuring efficiency gains
  9. Sharing best practices internally
  10. Avoiding over-customization
  11. Scaling across delivery teams
  12. Updating patterns post-audit
Module 6. Earning Unchallenged Sign-Off on AI Projects
Shift from seeking approval to granting it, by demonstrating clarity, consistency, and command of ISO 42001 requirements.
12 chapters in this module
  1. What 'final say' actually looks like
  2. Building decision authority incrementally
  3. Documenting rationale for others
  4. Pre-approving common scenarios
  5. Setting thresholds for escalation
  6. How to handle exceptions cleanly
  7. Communicating decisions with confidence
  8. Creating audit-ready trails
  9. Gaining tacit recognition
  10. Using precedents to reinforce authority
  11. Handling leadership challenges
  12. Maintaining decision quality over time
Module 7. Leading AI Risk Assessments in Transformation
Take ownership of risk identification and mitigation planning for AI-driven change, positioning yourself as the central node in risk conversations.
12 chapters in this module
  1. Scoping AI risk assessments
  2. Identifying high-risk use cases
  3. Engaging legal and compliance partners
  4. Conducting AI-specific SWOTs
  5. Mapping risks to business outcomes
  6. Prioritizing by impact and likelihood
  7. Documenting mitigation plans
  8. Tying risk to change readiness
  9. Reporting risks to stakeholders
  10. Integrating with project plans
  11. Updating assessments over time
  12. Lessons from real audits
Module 8. Creating Audit-Ready Documentation
Produce clean, complete, and defensible records that satisfy internal and external reviewers, without last-minute scrambles.
12 chapters in this module
  1. What auditors actually look for
  2. Documenting change decisions
  3. Version control best practices
  4. Evidence collection strategies
  5. Linking artefacts to controls
  6. Avoiding common documentation gaps
  7. Preparing for ISO 42001 audits
  8. Using templates to ensure completeness
  9. Storing records securely
  10. Cross-referencing change and control logs
  11. Demonstrating continuous compliance
  12. Responding to findings efficiently
Module 9. Influencing Vendor AI Governance Practices
Extend your influence beyond internal teams by shaping how third parties approach AI, ensuring alignment with ISO 42001 standards.
12 chapters in this module
  1. Assessing vendor AI maturity
  2. Incorporating ISO 42001 into RFPs
  3. Vendor selection criteria for AI
  4. Contractual clauses for AI governance
  5. Onboarding vendors to your framework
  6. Monitoring third-party compliance
  7. Managing joint risk ownership
  8. Handling vendor incidents
  9. Auditing vendor AI practices
  10. Reporting on vendor performance
  11. Improving vendor collaboration
  12. Scaling oversight across partners
Module 10. Scaling Governance Across Multiple Engagements
Manage multiple programs without diluting quality, by designing lightweight, consistent governance practices that travel well.
12 chapters in this module
  1. Governance portability principles
  2. Lightweight vs comprehensive models
  3. Adapting to client size and risk
  4. Using playbooks for consistency
  5. Training others to follow your model
  6. Measuring governance effectiveness
  7. Balancing flexibility and control
  8. Handling exceptions at scale
  9. Centralizing lessons learned
  10. Automating reminders and check-ins
  11. Managing bandwidth constraints
  12. Reporting up across portfolios
Module 11. Owning the AI Governance Narrative
Shape how AI governance is discussed across teams, framing it as an enabler of change, not a constraint.
12 chapters in this module
  1. Reframing governance as speed
  2. Communicating value to delivery teams
  3. Telling success stories
  4. Using data to support your case
  5. Positioning controls as protection
  6. Building buy-in early
  7. Creating internal advocacy
  8. Influencing leadership messaging
  9. Handling skepticism
  10. Celebrating wins publicly
  11. Documenting impact over time
  12. Becoming the reference point
Module 12. Sustaining Governance Through Leadership Changes
Ensure your governance framework survives reorganizations and turnover by embedding it into standard operating procedures.
12 chapters in this module
  1. Institutionalizing governance practices
  2. Documenting decision logic
  3. Training successors
  4. Building cross-functional ownership
  5. Updating frameworks post-audit
  6. Responding to new regulations
  7. Maintaining relevance over time
  8. Avoiding over-reliance on individuals
  9. Using templates to preserve knowledge
  10. Linking to performance metrics
  11. Creating feedback loops
  12. Planning for continuous improvement

How this maps to your situation

  • Onboarding a new AI tool in a client environment
  • Leading change for an AI-powered automation initiative
  • Responding to internal audit findings on AI risk
  • Designing governance for a multi-year transformation program

Before vs. after

Before
Reacting to AI governance as an afterthought, waiting for direction, and relying on others to define risk boundaries.
After
Proactively shaping AI governance in every change initiative, making key decisions confidently, and being sought out for guidance.

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 to be completed over 4-6 weeks with flexible pacing.

If nothing changes
Without clear governance, AI initiatives risk delays, rework, or failure during audit, leaving change managers to clean up downstream. Meanwhile, peers who embed control early will gain influence and visibility.

How this compares to the alternatives

Unlike generic compliance training or vendor-led certifications, this course is tailored to change managers in consulting, focusing on influence, execution, and real-world decision-making, not abstract theory.

Frequently asked

Who is this course for?
Change Managers and transformation leads in consulting or systems integration firms 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 access the materials after completion?
Yes, lifetime access is included with purchase.
$199 one-time. Approximately 3 hours per module, designed to be completed over 4-6 weeks with flexible pacing..

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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