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DAT1484 Mastering ISO 42001 for ServiceNow Business Analysts

$199.00
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A tailored course, built for your situation

Mastering ISO 42001 for ServiceNow Business Analysts

Build defensible AI governance artefacts aligned with global standards and your current compliance workflow

$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.
Avoid rework cycles on AI governance documentation by building ISO 42001 compliance outputs that are accurate and defensible from the start

The situation this course is for

Most AI governance initiatives stall because foundational documentation lacks precision and traceability. Business analysts spend cycles revising SoAs and control mappings instead of advancing implementation. The gap isn't knowledge, it's method. Practitioners need a structured way to produce ISO 42001-aligned outputs that stand up to review without rework, especially when integrating with enterprise service workflows.

Who this is for

ServiceNow Business Analysts with CSA and ITIL 4 CDS credentials working in regulated US enterprises adopting AI governance frameworks

Who this is not for

This is not for software developers, infrastructure engineers, or executives seeking board-level overviews. It's not for teams using non-enterprise AI platforms or those without active ISO 42001 or AI governance initiatives. If you're not producing compliance artefacts that require review, this course won’t fit.

What you walk away with

  • Generate ISO 42001 Statement of Applicability (SoA) documents that pass internal review the first time
  • Map AI governance controls to existing ITIL and ServiceNow workflows with precision
  • Produce auditable evidence packages that align with ISO 42001 control requirements
  • Use structured templates to reduce rework in control documentation by at least 50%
  • Confidently defend control selections during cross-functional review cycles

The 12 modules (with all 144 chapters)

Module 1. Foundations of ISO 42001 and AI Governance
Establish a working understanding of ISO 42001 structure, core clauses, and its role in enterprise AI governance. Learn how it intersects with ITIL and ServiceNow operational frameworks. Focus on practical interpretation over theoretical compliance.
12 chapters in this module
  1. Understanding the scope and intent of ISO 42001
  2. Key differences between ISO 42001 and ISO 27001
  3. How AI governance integrates with existing compliance programs
  4. The role of the business analyst in AI control mapping
  5. Linking ISO 42001 to ServiceNow configuration management
  6. Overview of AI risk assessment methodologies
  7. Identifying organisational roles in AI governance rollout
  8. Documenting AI system inventories with completeness
  9. Setting control boundaries for AI use cases
  10. Integrating ISO 42001 with ITIL change management
  11. Avoiding common misinterpretations of Clause 4
  12. Establishing baseline maturity for AI governance
Module 2. Building the Statement of Applicability
Walk through crafting a defensible, audit-ready SoA specific to AI systems. Use real templates and examples to ensure compliance without over-documentation or gaps.
12 chapters in this module
  1. Structuring the SoA for AI-specific controls
  2. Justifying inclusion and exclusion of controls
  3. Writing clear, defensible rationale statements
  4. Aligning SoA with existing ServiceNow data models
  5. Using automation to maintain SoA accuracy
  6. Version control for iterative SoA updates
  7. Linking SoA entries to risk registers
  8. Documenting AI-specific control exceptions
  9. Ensuring traceability from control to implementation
  10. Incorporating feedback from compliance reviewers
  11. Maintaining consistency across multiple AI projects
  12. Validating SoA completeness before review
Module 3. AI Risk Assessment and Control Mapping
Apply structured methods to assess AI risks and map them to ISO 42001 controls. Focus on traceability, defensibility, and integration with existing compliance workflows.
12 chapters in this module
  1. Defining AI system boundaries for risk assessment
  2. Classifying AI systems by impact and autonomy
  3. Using threat modeling for AI governance
  4. Mapping risks to specific ISO 42001 controls
  5. Linking risk decisions to ServiceNow records
  6. Documenting risk acceptance and mitigation
  7. Creating visual control mapping diagrams
  8. Ensuring controls scale across AI use cases
  9. Integrating risk assessment into change tickets
  10. Using templates for consistent risk scoring
  11. Avoiding over- and under-scoping AI risks
  12. Validating risk assessments with peer review
Module 4. Control Implementation Planning
Turn control requirements into actionable implementation plans that integrate with ServiceNow workflows and project timelines.
12 chapters in this module
  1. Breaking down controls into executable tasks
  2. Assigning control ownership across teams
  3. Estimating effort for control implementation
  4. Integrating control tasks into sprint planning
  5. Using ServiceNow to track control rollout
  6. Setting milestones for control deployment
  7. Aligning controls with data governance policies
  8. Documenting control implementation decisions
  9. Ensuring traceability from plan to evidence
  10. Managing control dependencies
  11. Using playbooks to standardise rollout
  12. Monitoring progress across AI projects
Module 5. Evidence Collection and Audit Readiness
Learn how to collect, organise, and present evidence that satisfies ISO 42001 audit requirements without rework or escalation.
12 chapters in this module
  1. Defining evidence requirements for each control
  2. Using ServiceNow to automate evidence capture
  3. Organising evidence for auditor access
  4. Documenting AI model training and validation
  5. Capturing AI decision logic and data sources
  6. Ensuring data retention compliance
  7. Validating evidence completeness
  8. Preparing evidence packages for review
  9. Responding to auditor queries efficiently
  10. Using templates to standardise evidence format
  11. Maintaining evidence across system changes
  12. Reducing audit findings through proactive review
Module 6. Integration with ITIL and Service Management
Align ISO 42001 activities with ITIL processes including change, incident, and problem management to ensure sustainability.
12 chapters in this module
  1. Integrating AI governance into change management
  2. Using incident reports to improve AI controls
  3. Linking problem management to control gaps
  4. Managing AI configuration items in CMDB
  5. Ensuring change advisory board alignment
  6. Documenting AI service dependencies
  7. Aligning SLAs with AI system performance
  8. Using service reports for control monitoring
  9. Handling AI-related service outages
  10. Integrating AI health checks into operations
  11. Training service desk on AI governance
  12. Monitoring AI system performance over time
Module 7. Stakeholder Communication and Review Cycles
Improve cross-functional collaboration by producing clear, consistent outputs for compliance and audit review.
12 chapters in this module
  1. Preparing for internal compliance reviews
  2. Presenting control mappings to non-experts
  3. Using visual aids to explain AI governance
  4. Incorporating feedback without rework
  5. Managing review timelines effectively
  6. Writing clear responses to reviewer comments
  7. Building consensus across legal and IT teams
  8. Documenting decisions during review cycles
  9. Reducing review iteration cycles
  10. Using templates for faster stakeholder alignment
  11. Tracking changes during review phases
  12. Closing review loops with formal sign-off
Module 8. Sustaining Compliance Over Time
Design processes to maintain ISO 42001 compliance as AI systems evolve and organisational needs change.
12 chapters in this module
  1. Planning for control reviews and updates
  2. Using ServiceNow to schedule compliance tasks
  3. Tracking control effectiveness over time
  4. Updating SoA with system changes
  5. Managing AI model retraining cycles
  6. Handling control exceptions and waivers
  7. Integrating compliance into release cycles
  8. Auditing AI system changes
  9. Using dashboards to monitor compliance status
  10. Reporting compliance to leadership
  11. Updating documentation automatically
  12. Ensuring compliance survives team changes
Module 9. Automation and Scalability of AI Governance
Leverage ServiceNow capabilities to automate repetitive governance tasks and scale compliance across multiple AI initiatives.
12 chapters in this module
  1. Identifying candidates for automation
  2. Using workflows to enforce control steps
  3. Automating evidence collection
  4. Integrating with AI model monitoring tools
  5. Scaling controls across business units
  6. Reducing manual effort in compliance
  7. Using templates to standardise outputs
  8. Building reusable control implementation playbooks
  9. Tracking automation effectiveness
  10. Managing exceptions in automated workflows
  11. Ensuring auditability of automated processes
  12. Improving speed of compliance rollout
Module 10. Cross-Functional Governance Alignment
Align AI governance with data privacy, security, and legal teams to avoid siloed compliance efforts.
12 chapters in this module
  1. Integrating with data privacy governance
  2. Aligning with security control frameworks
  3. Coordinating with legal and regulatory teams
  4. Managing shared responsibilities
  5. Resolving conflicting requirements
  6. Using joint review processes
  7. Documenting cross-team agreements
  8. Building governance collaboration norms
  9. Handling jurisdictional differences
  10. Ensuring consistent terminology
  11. Reducing duplication of effort
  12. Creating shared compliance dashboards
Module 11. Advanced Control Customisation for AI
Adapt ISO 42001 controls to complex AI systems including generative models, autonomous agents, and real-time decisioning.
12 chapters in this module
  1. Customising controls for generative AI
  2. Handling AI systems with high autonomy
  3. Addressing real-time decision risks
  4. Ensuring explainability in AI outputs
  5. Managing bias detection and correction
  6. Documenting AI training data lineage
  7. Validating AI model performance thresholds
  8. Handling AI system drift
  9. Integrating human oversight mechanisms
  10. Ensuring compliance with AI usage policies
  11. Adapting controls for edge AI deployments
  12. Planning for AI model retirement
Module 12. Course Wrap-Up and Implementation Roadmap
Synthesise learning into a personal action plan for immediate application in current projects.
12 chapters in this module
  1. Reviewing key principles of ISO 42001
  2. Assessing current project alignment
  3. Identifying immediate improvement areas
  4. Using the implementation playbook
  5. Setting 30-day compliance goals
  6. Integrating learnings into upcoming work
  7. Sharing best practices with team
  8. Tracking personal progress
  9. Maintaining ongoing learning
  10. Accessing updated resources
  11. Joining practitioner community
  12. Providing feedback for course improvement

How this maps to your situation

  • Current ISO 42001 implementation challenges
  • Need for audit-ready documentation
  • Integration with ServiceNow workflows
  • Cross-functional compliance alignment

Before vs. after

Before
Spending cycles revising AI governance documentation, chasing evidence, and responding to audit findings due to gaps in control mapping and SoA completeness
After
Producing accurate, defensible ISO 42001 compliance outputs the first time, aligned with ServiceNow workflows and ready for internal review

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 fit within existing work cycles over 6-8 weeks.

If nothing changes
Continuing without a structured approach risks repeated rework, audit findings, and delays in AI project delivery, especially as ISO 42001 adoption becomes more widespread in regulated sectors.

How this compares to the alternatives

Unlike generic compliance courses, this program is tailored to ServiceNow Business Analysts implementing ISO 42001, with direct applicability to AI governance artefacts, control mapping, and integration into existing ITIL workflows. Most alternatives cover ISO 42001 at a high level without connecting to real-world implementation.

Frequently asked

Is this course relevant if my organisation hasn't officially adopted ISO 42001?
Yes. Many teams are implementing ISO 42001 principles even without formal adoption. This course helps you build defensible outputs that align with the standard, giving your organisation a head start.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will the templates work in my existing ServiceNow environment?
Yes. The templates are designed to integrate with standard ServiceNow configurations and can be adapted to your instance without custom development.
$199 one-time. Approximately 3 hours per module, designed to fit within existing work cycles over 6-8 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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