A tailored course, built for your situation
Mastering ISO 42001 for Consulting Delivery Leaders in Agile Program Management
A structured approach to AI governance that scales across global delivery teams and complex 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.
AI compliance packages requiring last-minute rework during final stakeholder reviews
The situation this course is for
Consulting delivery leaders face mounting pressure to deliver AI governance artifacts that satisfy diverse regional standards, client-specific compliance requirements, and internal audit cycles. The current process often leads to reactive revisions, late-stage escalations, and reconciliation across geographically dispersed teams, particularly when final client packages come under scrutiny.
Who this is for
A senior consulting delivery leader at a global IT services firm managing complex Agile programs with emerging AI components. They are accountable for on-time, compliant delivery across regions and client sectors, and are expected to anticipate governance requirements before they become roadblocks.
Who this is not for
Individual contributors focused only on technical AI implementation, practitioners without client-facing delivery responsibilities, or those working in non-consulting environments without multi-regional or multi-client governance demands.
What you walk away with
- Produce client-ready AI governance packages that pass final review without rework
- Standardize AI compliance artifacts across global delivery teams
- Integrate ISO 42001 controls into Agile program sprints without slowing delivery
- Position yourself as the internal authority on scalable AI governance in consulting
- Reduce final-stage validation time for AI compliance from weeks to hours
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001 in Client-Facing Consulting
Establish the core principles of ISO 42001 within the context of global consulting delivery, focusing on client expectations, regulatory variance, and audit readiness across jurisdictions.
12 chapters in this module
- Understanding ISO 42001 scope in multi-client engagements
- Mapping AI governance to client delivery lifecycle phases
- Differentiating ISO 42001 from sector-specific AI regulations
- Client contract clauses that trigger ISO 42001 compliance
- Regional variance in AI governance expectations
- Auditor perspectives on consulting delivery artifacts
- The role of the delivery lead in governance oversight
- Integrating AI risk assessments into kickoff meetings
- Documenting AI system purpose across geographies
- Handling third-party AI components in deliverables
- Establishing governance baselines before sprint one
- Common misconceptions about ISO 42001 in Agile
Module 2. AI Governance Integration in Agile Program Frameworks
Learn how to embed ISO 42001 requirements directly into Agile workflows, ensuring governance is continuous rather than a final-stage add-on.
12 chapters in this module
- Aligning ISO 42001 controls with Agile sprint cycles
- Embedding governance checkpoints in backlog grooming
- Assigning AI compliance ownership within Scrum teams
- Synchronizing control validation with sprint reviews
- Tracking AI risk indicators in stand-up updates
- Adapting retrospectives to improve governance outcomes
- Managing evolving AI scope within fixed sprints
- Handling audit evidence collection incrementally
- Coordinating governance across offshore delivery pods
- Integrating automated AI logging into CI/CD pipelines
- Maintaining ISO 42001 alignment during pivots
- Documenting governance decisions in sprint notes
Module 3. Cross-Regional AI Compliance Mapping
Develop a repeatable method for aligning ISO 42001 compliance with regional AI laws and client-specific requirements across global delivery teams.
12 chapters in this module
- Creating a master AI compliance mapping matrix
- Translating EU AI Act into ISO 42001 controls
- Mapping US state AI laws to governance requirements
- Adapting controls for APAC client engagements
- Handling conflicting regional data governance laws
- Client-specific exceptions to standard frameworks
- Versioning governance packages by region
- Managing language and cultural variance in reporting
- Centralized oversight of regional compliance
- Leveraging shared control libraries across regions
- Conducting cross-regional AI risk assessments
- Standardizing evidence formats for head office review
Module 4. Stakeholder Communication and Governance Narrative
Craft clear, credible narratives that explain AI governance compliance to non-technical stakeholders and clients across industries.
12 chapters in this module
- Translating ISO 42001 controls into business terms
- Designing executive summaries for client governance
- Communicating AI risk posture during reviews
- Anticipating common client questions on AI compliance
- Creating visual control mapping for non-technical teams
- Balancing transparency with commercial sensitivity
- Framing governance as delivery enablement
- Handling pushback on governance process overhead
- Reporting AI compliance status to client leadership
- Preparing teams for auditor walkthroughs
- Documenting governance decisions for external scrutiny
- Building credibility through consistent narrative
Module 5. Automating Evidence Collection and Reporting
Implement systems to automatically gather and package ISO 42001 evidence across distributed Agile teams and reduce manual reporting burden.
12 chapters in this module
- Identifying automatable ISO 42001 control evidence
- Integrating logging tools into development environments
- Configuring automated policy adherence checks
- Centralizing evidence in a client-accessible repository
- Setting up alerts for control deviations
- Validating automated outputs against audit standards
- Reducing manual reconciliation across teams
- Ensuring data integrity in automated reporting
- Managing access controls for evidence repositories
- Documenting automation logic for auditors
- Maintaining human oversight in automated systems
- Scaling evidence collection to multiple clients
Module 6. Vendor and Third-Party AI Governance
Extend ISO 42001 compliance to third-party AI components and vendor partnerships, ensuring end-to-end accountability.
12 chapters in this module
- Assessing vendor AI systems against ISO 42001
- Including governance clauses in vendor contracts
- Managing vendor access to client AI data
- Auditing third-party AI model development practices
- Handling AI supply chain transparency
- Integrating vendor evidence into main package
- Managing multi-vendor AI integration risks
- Enforcing compliance across SaaS AI tools
- Overseeing offshore AI development partners
- Creating vendor-specific governance checklists
- Handling disputes over governance responsibility
- Documenting vendor exception processes
Module 7. Building Reusable AI Governance Artifacts
Develop standardized, reusable templates and documentation that maintain compliance across multiple engagements and reduce setup time.
12 chapters in this module
- Designing modular ISO 42001 documentation
- Creating jurisdiction-specific governance addenda
- Developing client-tailored compliance playbooks
- Standardizing AI system description templates
- Building reusable risk assessment frameworks
- Versioning governance artifacts for reuse
- Tagging templates for easy retrieval
- Integrating templates into project initiation
- Maintaining a central governance asset library
- Training teams on template adaptation
- Updating templates based on audit feedback
- Measuring reuse impact on delivery speed
Module 8. Scaling AI Governance Across Delivery Portfolios
Implement governance structures that scale across multiple concurrent client programs without increasing oversight burden.
12 chapters in this module
- Establishing centralized AI governance oversight
- Defining clear escalation paths for issues
- Implementing consistency checks across programs
- Sharing lessons learned across delivery teams
- Standardizing metrics for governance performance
- Creating governance scorecards for leadership
- Managing resource allocation for compliance
- Coordinating cross-program AI risk reviews
- Implementing governance maturity assessments
- Benchmarking performance across industries
- Scaling automation to multi-client operations
- Maintaining agility during governance scale-up
Module 9. Preparing for External Audit and Review
Structure deliverables and internal processes to ensure ISO 42001 compliance packages pass external review on the first submission.
12 chapters in this module
- Anticipating auditor questions on AI systems
- Organizing evidence for efficient retrieval
- Conducting internal pre-audit assessments
- Simulating external review scenarios
- Training delivery teams on audit response
- Documenting control effectiveness with examples
- Addressing gaps before formal submission
- Creating audit-friendly artifact navigation
- Handling auditor requests during review
- Responding to findings without rework loops
- Maintaining composure during challenging reviews
- Securing sign-off before external submission
Module 10. Leading Cultural Adoption of AI Governance
Drive adoption of ISO 42001 practices across delivery teams by aligning governance with team incentives and delivery goals.
12 chapters in this module
- Framing governance as delivery protection
- Aligning compliance goals with team objectives
- Recognizing governance champions in teams
- Integrating governance into performance reviews
- Reducing resistance to compliance processes
- Communicating long-term benefits of governance
- Providing just-in-time governance training
- Creating feedback loops for process improvement
- Celebrating first-time audit pass successes
- Addressing workload concerns transparently
- Building governance into team rituals
- Measuring cultural adoption over time
Module 11. Maintaining Governance Through Organizational Change
Ensure AI governance continuity during leadership transitions, M&A activity, or restructuring.
12 chapters in this module
- Documenting governance rationale for new leaders
- Creating governance handover checklists
- Preserving institutional knowledge in systems
- Updating documentation during restructuring
- Communicating governance stability to clients
- Managing temporary leadership gaps
- Integrating new teams into governance frameworks
- Adapting controls for merged organizations
- Maintaining compliance during integration
- Protecting governance investments post-M&A
- Preventing compliance drift during transitions
- Auditing governance resilience annually
Module 12. Future-Proofing AI Governance Practices
Anticipate emerging trends and regulatory shifts to keep governance strategies ahead of client and compliance demands.
12 chapters in this module
- Tracking new AI legislation globally
- Participating in industry governance forums
- Updating frameworks for emerging AI types
- Adapting to evolving auditor expectations
- Incorporating lessons from peer organizations
- Investing in governance innovation
- Balancing agility with compliance stability
- Scaling practices for generative AI expansion
- Preparing for AI liability regulation
- Integrating ethical AI considerations
- Building governance foresight into planning
- Positioning your team as governance innovators
How this maps to your situation
- Consulting delivery leadership
- Global Agile programs
- Multi-regional client engagements
- AI governance in enterprise services
Before vs. after
Before
Spending weeks assembling last-minute AI compliance packages across regions, facing rework during final reviews, and managing inconsistent governance practices across Agile teams.
After
Producing standardized, client-ready governance artifacts in hours, with confident oversight across global programs and reduced final-stage escalations.
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: 90 minutes of focused learning, structured to be completed in short sessions across a single week.
If nothing changes
Without a structured approach, AI governance will remain reactive, leading to repeated rework, delayed deliveries, compliance gaps across regions, and missed opportunities to lead in high-trust client engagements.
How this compares to the alternatives
Unlike generic AI governance courses, this program is tailored to consulting delivery leaders, focusing on Agile integration, cross-regional compliance, and client-facing artifact production , not abstract theory.
Frequently asked
Is this course focused on technical AI implementation?
No. This course is designed for delivery leaders and focuses on governance, compliance, and client-facing processes , not coding or model development.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help with ISO 27001 or other standards?
The core framework is ISO 42001, but the methods apply to other governance standards through modular adaptation.
$199 one-time. 90 minutes of focused learning, structured to be completed in short sessions across a single week..
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