Skip to content

ITIL 5 SL : AI-Augmented Strategy & Sustainability (Domain 6)

ITIL 5 – Strategic Leader : Certified ITIL Strategic Leader - Domain 6 - AI Augmented Strategy, Sustainability and Ethics

30 questionsmedium

The ITIL 5 Strategic Leader qualification represents a significant evolution in the field of digital management, transitioning from traditional IT frameworks to a unified approach known as Digital Product and Service Management (DPSM). Within this scheme, Domain 6, titled “AI Augmented Strategy, Sustainability and Ethics,” carries a weight of 16.25% in the Strategic Leader syllabus. This domain is critical for modern leaders who must navigate the complexities of AI-enabled organizations while ensuring that digital transformation efforts are responsible, sustainable, and ethically sound.

Governing AI at the Board Level

Board-level governance is a cornerstone of the ITIL 5 Strategic Leader path, particularly within the “Direct, Plan and Improve” (DPI) and “Digital and IT Strategy” (DITS) modules. For AI initiatives to deliver measurable business value, they must be governed through a framework that prioritizes strategic alignment and accountability.

The governance of AI at the highest organizational levels involves the “Direct, Monitor, and Evaluate” model. Boards are responsible for directing the AI strategy to ensure it aligns with the organization’s vision, mission, and purpose. Monitoring involves oversight of AI performance and risk management, while evaluation ensures that AI investments are contributing to long-term value realization.

A key component of this governance structure is the “Three Lines of Defence” model. This approach provides a systematic way to manage risks associated with AI:

  • First Line: Operational management responsible for implementing AI and managing risks daily.
  • Second Line: Oversight functions, such as risk management and compliance, that set the boundaries for AI usage.
  • Third Line: Internal audit providing independent assurance to the board regarding the effectiveness of AI governance.

By integrating AI governance into the broader enterprise strategy, boards can ensure that technology investments are not just technical updates but strategic drivers that support business outcomes.

Responsible and Ethical AI Adoption

As organizations increasingly adopt artificial intelligence, the ITIL 5 framework emphasizes the need for a responsible, ethical, and compliant approach. This is specifically addressed in the ITIL AI Governance extension module, which focuses on the challenges of adopting AI within a service management and DPSM context.

Responsible AI adoption requires a focus on several key pillars:

  • Transparency: Organizations must be clear about how AI models make decisions, particularly when those decisions impact customers or employees.
  • Accountability: There must be clear ownership of AI outcomes, ensuring that humans remain “in the loop” for critical decision-making processes.
  • Compliance: AI systems must adhere to evolving regulatory considerations and international standards to mitigate legal and reputational risks.
  • Risk Management: Leaders must identify and address the unique risks posed by AI, such as algorithmic bias or data security vulnerabilities.

Ethical AI adoption ensures that digital transformation initiatives do not compromise the organization’s core values. In a Volatile, Uncertain, Complex, and Ambiguous (VUCA) environment, an ethical framework provides the “clarity and confidence” needed to lead digital innovation responsibly.

AI Governance Frameworks (ITIL AI Capability Model)

The ITIL 5 Strategic Leader syllabus introduces specific frameworks designed to manage the lifecycle of digital products and services in an AI-enabled economy. The strategy for AI must be adaptive and sustainable, moving beyond simple automation to become a core building block of the organizational operating model.

Effective AI governance frameworks within ITIL focus on:

  • Strategic Alignment: Ensuring AI initiatives directly support the organization’s strategic objectives and competitive positioning.
  • The ITIL Value System: Leveraging AI to enhance value chains and value streams across the four dimensions of product and service management.
  • Governance Controls: Implementing “direct, plan, and improve” activities at the portfolio level to maintain oversight of AI-driven changes.

These frameworks help organizations move from modernizing IT to fundamentally changing how products and services are designed and delivered. By utilizing the ITIL Strategy Management Model, leaders can balance strategy development (planning for the future) with strategy implementation (executing AI initiatives in daily operations).

FinOps and AI Strategy

AI initiatives often involve significant financial investment, requiring a robust strategy for investment prioritization and resource allocation. Within the ITIL 5 Strategic Leader path, this is categorized under Strategic Risk, Resilience, and Portfolio Management.

The intersection of FinOps and AI strategy focuses on:

  • Investment Prioritization: Using portfolio management techniques to decide which AI projects will deliver the highest return on investment (ROI) and strategic advantage.
  • Resource Allocation: Ensuring that technology, people, and financial resources are allocated to AI initiatives that realize long-term business outcomes.
  • Measurable Success Criteria: Establishing KPIs and OKRs (Objectives and Key Results) at the portfolio level to track the financial efficiency of AI models.
  • Cost Realization: Aligning every technology investment with business strategy to ensure that the “Build, Buy, or Partner” decisions for AI services are financially sound.

By applying these principles, organizations can avoid the “transformation by crisis” trap and instead build an AI-enabled, product-centric economy where technology spending is a strategic differentiator.

Sustainability and Carbon-Aware Design

Sustainability is no longer an optional component of IT strategy; it is an essential capability for long-term strategic success. ITIL 5 integrates sustainability into the heart of the digital strategy, emphasizing that products and services must be designed with an awareness of their environmental impact.

A “carbon-aware strategy” involves:

  • Carbon-Aware Design: Optimizing digital products and services to minimize their carbon footprint throughout their lifecycle.
  • Sustainable Strategy Management: Balancing the need for rapid digital change with the requirement for long-term environmental stewardship.
  • Lifecycle Management: Evaluating the environmental impact of digital products from design and development through to retirement.

This focus on sustainability ensures that organizations contribute to global goals while also improving their own operational resilience. The ITIL Guiding Principles serve as a foundation here, encouraging organizations to “Think and Work Holistically” and “Progress Iteratively with Feedback” when implementing sustainable practices.

Environmental, Social, and Governance (ESG) Reporting

ESG reporting is a critical part of Domain 6, reflecting the need for organizations to be transparent about their impact on the world. Strategic Leader candidates must understand how to integrate ESG considerations into their reporting and assurance processes.

Key elements of ESG in ITIL 5 include:

  • ESG Reporting Frameworks: Using standardized metrics to report on the organization’s environmental impact, social responsibility, and governance health.
  • Strategic Communication to Boards: Ensuring that the board has visibility into ESG performance and how it aligns with the organization’s vision and purpose.
  • Measurable Value: ESG initiatives should not just be for compliance; they should deliver measurable business value and enhance the organization’s professional credibility.

By incorporating ESG into the “Direct, Plan, and Improve” cycle, organizations can demonstrate that their digital transformation is not only technically successful but also socially and environmentally responsible.

Digital Ethics and Privacy (GDPR, CCPA)

Digital ethics and privacy are fundamental to maintaining customer and employee trust. The ITIL 5 framework highlights the importance of compliance with global regulations such as GDPR (General Data Protection Regulation).

Strategic considerations for digital ethics include:

  • Data Privacy by Design: Integrating privacy considerations into the initial design of digital products and services.
  • Digital Ethics as a Strategic Support: Using ethical guidelines to support strategic change and manage the complexities of modern digital ecosystems.
  • Compliance Management: Ensuring that the organization stays current with evolving privacy laws across different jurisdictions.

Digital ethics go beyond mere legal compliance; they involve making “informed, conscious decisions” in uncertain settings to protect the rights of individuals while pursuing digital innovation.

Strategic Workforce and Talent Planning

The transition to an AI-enabled, product-centric economy requires a fundamental shift in how organizations manage their people. This is addressed within the “Organizations and People” dimension of the four dimensions of product and service management.

Strategic workforce planning involves:

  • Culture and Structure: Building an organizational culture that supports digital transformation and AI adoption.
  • Capability Development: Identifying the new skills required for a digital workforce and creating pathways for talent development.
  • Organizational Change Management (OCM): Leading people through the transition from traditional ways of working to modern, product-centric models.
  • Leadership-Oriented Learning: Equipping managers with the strategic thinking and decision-making skills needed to lead in a VUCA environment.

By focusing on talent planning, leaders ensure that their workforce is prepared to collaborate effectively with new technologies and contribute to the organization’s strategic goals.

Data Strategy in Modern Ecosystems

Data is the fuel for AI and digital transformation, making data strategy a central pillar of Domain 6. Organizations must move beyond simple data storage to a strategic view of data as a valuable asset.

The core components of a modern data strategy include:

  • Innovation and Data Use: Guiding the use of data to drive innovation and create new digital capabilities.
  • Data Governance: Establishing clear policies for data quality, security, and usage across the organization.
  • Integrating Digital Strategy with Business Goals: Ensuring that the data collected and analyzed directly supports the organization’s strategic objectives.
  • Strategic Sourcing: Making informed decisions about whether to build data capabilities internally or partner with external providers.

A well-executed data strategy ensures that the organization can act with clarity and confidence, using data-driven insights to optimize service value streams.

Industry 5.0 and Human-Technology Collaboration

Industry 5.0 represents a shift toward a more human-centric approach to technology, where collaboration between humans and digital systems is optimized to create value. ITIL 5 reflects this by elevating both customer and employee experience as strategic differentiators.

Key themes of Industry 5.0 in the Strategic Leader path include:

  • Experience-Led Decision-Making: Using stakeholder experience as a core driver of value and a guide for strategic alignment.
  • Human-Technology Collaboration: Designing digital products and services that complement human capabilities and improve the employee experience.
  • Value Co-Creation: Emphasizing that value is created through the collaborative relationship between the service provider and the consumer.
  • Digital Operating Models: Designing operating models that are flexible, adaptive, and focused on delivering a unified lifecycle of digital products and services.

This approach ensures that technology serves the needs of the organization and its stakeholders, rather than becoming an end in itself.


Short-Answer Questions

1. What is the primary weight of Domain 6 in the ITIL 5 Strategic Leader syllabus? The primary weight of Domain 6: AI Augmented Strategy, Sustainability and Ethics is 16.25%.

2. Which module in the Strategic Leader stream focuses specifically on the responsible and ethical adoption of AI? The ITIL AI Governance extension module focuses on the responsible, ethical, and compliant adoption of AI.

3. What are the two lifecycles contained within the ITIL Strategy Management Model? The two lifecycles are strategy development and strategy implementation.

4. How does ITIL 5 define “Strategy”? Strategy is defined as a set of decisions and plans that enable an organization to fulfill its purpose and progress toward its vision.

5. What model is used for board-level governance in ITIL 5? Board-level governance utilizes the “Direct, Monitor, and Evaluate” model.

6. What are the “Three Lines of Defence” in the context of strategic risk management? The three lines are operational management (first line), oversight functions like risk and compliance (second line), and independent assurance through internal audit (third line).

7. What are the four dimensions of product and service management? The four dimensions are Organizations and People, Information and Technology, Partners and Suppliers, and Value Streams and Processes.

8. What does “Carbon-Aware Design” entail? It involves optimizing digital products and services to minimize their environmental impact and carbon footprint throughout their lifecycle.

9. What is the passing score for the ITIL 5 Strategy examination? The passing score is 70% (28 out of 40 questions).

10. In a VUCA environment, what does the acronym VUCA stand for? VUCA stands for Volatile, Uncertain, Complex, and Ambiguous.


Answer Key for Short-Answer Questions

  1. 16.25%: This is the allocated weight for Domain 6 as per the PeopleCert syllabus.
  2. ITIL AI Governance: This extension module specifically addresses risk management, transparency, and accountability in AI adoption.
  3. Strategy Development and Strategy Implementation: These two cycles work together to translate vision into actionable initiatives.
  4. Decisions and Plans: Strategy determines long-term direction and competitive positioning to help an organization fulfill its purpose.
  5. Direct, Monitor, and Evaluate: This model ensures the board sets the direction, oversees progress, and evaluates outcomes.
  6. Operational, Oversight, and Assurance: These three levels provide a structured approach to managing organizational risk.
  7. The Four Dimensions: These represent the core areas that must be balanced to deliver effective products and services.
  8. Footprint Optimization: It is a strategic approach to sustainability by designing services that reduce environmental impact.
  9. 70%: This threshold must be met in the 90-minute open-book examination to earn the certification.
  10. Volatile, Uncertain, Complex, and Ambiguous: This describes the dynamic and unpredictable environments where modern strategy must operate.

Open-Ended and Design Questions

  1. AI Governance Design: Design a high-level AI Governance framework for a global organization. How would you incorporate the “Three Lines of Defence” to manage the risks of generative AI in customer-facing services?
  2. Sustainability Integration: An organization wants to move toward a “Carbon-Aware Strategy.” Outline the steps needed to integrate sustainability into the strategy implementation lifecycle, ensuring that daily operations are balanced with environmental goals.
  3. Digital Ethics Strategy: Develop a set of “Digital Ethics” guidelines for an AI-enabled product team. How should these guidelines influence the design of value streams and the use of information and technology?
  4. Workforce Transformation: Propose a talent development plan for an organization transitioning to Industry 5.0. How will you address the “Organizations and People” dimension to ensure humans and AI collaborate effectively?
  5. Investment Prioritization: Using the principles of FinOps and the ITIL Strategy Management Model, create a set of criteria for prioritizing AI investments within a digital portfolio. How will you measure success at the portfolio level?

Glossary of Key Terms

  • AI Augmented Strategy: The integration of artificial intelligence into the strategic planning and execution processes to enhance decision-making and value creation.
  • Carbon-Aware Strategy: A strategic approach that prioritizes the reduction of environmental impact and carbon emissions in the design and delivery of digital services.
  • Digital Product and Service Management (DPSM): The unified ITIL 5 approach that manages the complete lifecycle of digital offerings from strategy to execution.
  • Direct, Plan and Improve (DPI): An ITIL module focused on governance, risk management, and the alignment of strategy with organizational improvement.
  • Digital and IT Strategy (DITS): An ITIL module emphasizing the integration of digital technology with business goals and operating model design.
  • ESG Reporting: The disclosure of data regarding an organization’s environmental, social, and governance performance to provide transparency to stakeholders.
  • FinOps: A cultural practice and financial management discipline that optimizes the value of technology and cloud investments.
  • Industry 5.0: A phase of industrial evolution that prioritizes human-centric design and collaboration between people and smart technologies.
  • ITIL Guiding Principles: Seven core recommendations that guide an organization in all circumstances, regardless of changes in goals or strategies.
  • ITIL Strategy Management Model: A framework containing two cycles—development and implementation—to manage an organization’s strategic direction.
  • OCM (Organizational Change Management): A set of practices used to lead the people side of change to achieve a desired business outcome.
  • PESTLE: A tool used to analyze external factors (Political, Economic, Social, Technological, Legal, Environmental) that influence strategy.
  • Product-Centric Economy: An economic model where organizations focus on creating value through continuous product and service lifecycles rather than one-off projects.
  • Three Lines of Defence: A risk management model that separates operational management, oversight, and independent assurance.
  • Value Co-Creation: The principle that value is not simply delivered but created through collaboration between providers and consumers.
  • VUCA: An environment characterized by Volatility, Uncertainty, Complexity, and Ambiguity, requiring adaptive and clear leadership.
  • Value Stream: A series of steps an organization undertakes to create and deliver products and services to consumers.

Leaderboard

No scores saved yet. Be the first!

30 Questions — ITIL 5 – Strategic Leader : Certified ITIL Strategic Leader - Domain 6 - AI Augmented Strategy, Sustainability and Ethics

Expand any question to reveal the correct answer and explanation.

  1. 1 An organization is transitioning to Industry 5.0. Which strategic shift best characterizes the ITIL (Version 5) approach to human-technology collaboration compared to Industry 4.0?

    Consider the difference between 'humans operating technology' and 'humans collaborating with technology' as defined in the source.

    Moving from technology as an operational support tool to technology as a collaborator that augments human judgment and creativity.

    Industry 5.0 focuses on the synergy between human creativity and the scale/speed of AI, ensuring humans remain 'in the loop' for ethics and context.

    • Prioritizing the replacement of human judgment with high-velocity automated decision-making engines to ensure absolute consistency.

      Replacing human judgment is a goal of pure automation (Industry 4.0), whereas Version 5 emphasizes technology augmenting human capability.

    • Focusing exclusively on efficiency and output metrics through cyber-physical systems to drive competitive advantage.

      Efficiency and cyber-physical systems were primary drivers of Industry 4.0; Industry 5.0 layers human-centricity and sustainability on top.

    • Establishing rigid command-and-control structures to manage the complexity of AI-integrated workflows.

      Version 5 moves away from rigid structures toward servant leadership and complexity thinking to foster resilience.

  2. 2 A Chief Technology Officer (CTO) is implementing 'Responsible AI' at the board level. According to the ITIL Strategic Leader framework, what is the primary risk of 'automating everything' without adequate governance?

    Focus on the relationship between machine autonomy and human responsibility.

    The erosion of organizational accountability when autonomous systems make decisions that lack human oversight.

    The source explicitly warns that over-automation can result in organizations 'automating away' accountability, which is a core governance concern.

    • A decrease in service desk ticket volume that leads to employee disengagement.

      While ticket volume might change, this is an operational byproduct rather than the primary strategic risk described in the framework.

    • Failure to comply with legacy ITIL 4 process-centric documentation requirements.

      Version 5 shifts from process-centric models to value-driven ones, making legacy process compliance a secondary concern.

    • The inability to use AI-native frameworks for traditional infrastructure management.

      Version 5 is designed to be technology-agnostic and backward-compatible, so this is not the fundamental risk.

  3. 3 When developing an AI-augmented strategy, how does the framework suggest managing the 'FinOps' dimension at the board level?

    Think about how cost management supports 'value realization' in high-stakes technology environments.

    Implementing discipline that ensures AI investments and compute costs are transparently linked to measurable business outcomes.

    FinOps in the SL context ensures that the high costs of AI are governed through transparency and value-driven decision-making.

    • By shifting all AI costs to operational expenses (OPEX) to maximize short-term accounting flexibility.

      FinOps is about value and discipline rather than just accounting classifications like OPEX vs. CAPM.

    • Centralizing all AI spending under a single 'AI Lab' to prevent shadow IT across business units.

      While centralization may occur, the framework emphasizes integrated value streams and collaboration over siloed cost centers.

    • Reducing the frequency of financial audits to allow for rapid AI experimentation and innovation.

      The framework advocates for audit-ready reporting and board-level governance, not a reduction in oversight.

  4. 4 In the context of the 'Sustainability' tenet of Version 5, what distinguishes a 'carbon-aware strategy' from traditional green IT initiatives?

    Consider how sustainability moves from an 'add-on' to a fundamental design principle.

    It embeds environmental impact considerations directly into the design, delivery, and lifecycle management of all digital products.

    Carbon-aware strategy treats sustainability as a core pillar of product design and strategic decision-making across the whole value system.

    • It focuses solely on purchasing hardware with lower power consumption ratings.

      This is a tactical approach characteristic of early Green IT, rather than a strategic lifecycle-based approach.

    • It prioritizes local server hosting over cloud computing to maintain direct control of energy sources.

      Hosting location is a tactical choice; the strategy is about how impact is managed across the entire portfolio, including cloud.

    • It limits the use of AI to non-critical services to prevent excessive energy usage.

      The goal is responsible use and 'Responsible AI,' not the avoidance of AI in critical functions.

  5. 5 An IT Director is using 'Complexity Thinking' to manage an AI-driven digital transformation. Which action aligns with this methodology in an unpredictable environment?

    Reflect on how leaders must act when the 'correct' answer is not immediately visible due to system interconnectivity.

    Applying adaptive responses that acknowledge the lack of linear cause-and-effect in integrated digital ecosystems.

    Complexity thinking helps leaders navigate 'chaotic' or 'complex' domains where outcomes cannot be predicted by looking at individual parts.

    • Designing detailed 5-year project plans with rigid milestones to minimize variance.

      Rigid, long-term plans are poorly suited for complex, unpredictable environments where change is constant.

    • Standardizing all responses to environmental stimuli to ensure predictable outputs.

      Standardization is for 'ordered' environments; complex environments require adaptive, unique responses.

    • Implementing a command-and-control hierarchy to ensure all AI decisions are authorized by a human expert.

      This inhibits the speed and adaptability required in Version 5's resilient and human-centric model.

  6. 6 Which of the following is a core requirement for attaining the 'ITIL Strategic Leader (Version 5)' designation?

    Recall the streamlined pathway for 'SL' which includes a capstone module shared with other designations.

    Completing ITIL Foundation, ITIL Strategy, and the mandatory ITIL Transformation module.

    The Strategic Leader designation is awarded after passing Foundation, the Strategy module, and the cross-cutting Transformation module.

    • Completion of five individual 'Practice Manager' modules and the AI Governance extension.

      Practice Manager requires five modules, but the Strategic Leader path has a specific, different set of requirements.

    • Achieving the 'Managing Professional' designation and completing a thesis on digital ethics.

      Managing Professional is a separate stream, and while ethics are covered, no thesis is required for SL certification.

    • Successfully passing the 'AI Governance' extension module, as it is a prerequisite for all SL modules.

      The AI Governance module is an 'optional' extension with no prerequisites and is not required for the SL designation.

  7. 7 How does ITIL (Version 5) define 'Digital Ethics' within its strategic framework?

    Think about the three tenets of ITILv5: Human-centric, Sustainable, and Resilient.

    A core infrastructure for responsible technology adoption, balancing profit with impact on people and the planet.

    Digital ethics is positioned as a foundation for Industry 5.0, focusing on the long-term viability and moral implications of technology.

    • A set of legal requirements that must be followed only when operating in European jurisdictions (GDPR).

      Legal requirements are just one aspect; ethics is a broader, global pillar of the Version 5 framework.

    • A collection of optional guidelines for service desk staff when interacting with automated chatbots.

      Ethics are strategically embedded at the board level rather than being limited to service desk interactions.

    • The process of ensuring that all digital products are encrypted using advanced cryptographic standards.

      Encryption is a technical security control, whereas digital ethics involves governance, transparency, and accountability.

  8. 8 A board of directors is evaluating their 'Risk Appetite' for AI implementation. Which 'Three Lines of Defence' component provides the necessary strategic reporting and assurance for this?

    Consider which line is responsible for oversight, policy-setting, and reporting to the board.

    The 2nd Line (Governance and Risk), by establishing guardrails, risk appetite, and monitoring compliance.

    The 2nd line is responsible for the oversight, risk appetite setting, and governance frameworks that inform the board.

    • The 1st Line (Operations), as they manage the day-to-day risk of AI failures.

      Operations manage risk directly but do not provide the independent assurance and strategic reporting required at the board level.

    • The 3rd Line (Internal Audit), as they are the only ones permitted to review AI logs.

      While audit provides assurance, the board relies on the 2nd line to set the strategy and appetite for risk.

    • External Regulators, as ITIL 5 shifts all risk responsibility to government agencies.

      The organization retains accountability for its AI strategy; regulators are an external force, not an internal line of defence.

  9. 9 What is the primary objective of the 'ITIL AI Governance' extension module released in 2026?

    Focus on the concepts of 'Responsible AI' and 'Trust' within the service lifecycle.

    To build practical capability in oversight, transparency, and ethical safeguards for AI adoption and scaling.

    This module addresses the responsible and ethical integration of AI, focusing on trust and accountability.

    • To provide a mandatory technical certification for developers building Large Language Models (LLMs).

      The module is optional and focused on governance and management, not technical software development.

    • To teach organizations how to bypass privacy regulations like GDPR using AI-driven anonymization techniques.

      The module focuses on compliance and ethical adoption, which is the opposite of bypassing regulations.

    • To replace the 'ITIL Strategy' module for professionals working in digital-only environments.

      Extension modules add specialized knowledge and do not replace core modules in the qualification scheme.

  10. 10 Under the ITIL (Version 5) Strategic Leader curriculum, how should 'Digital Transformation' be integrated with ESG (Environmental, Social, and Governance) reporting?

    Consider how strategy must connect 'People, Planet, and Profit' through digital capability.

    By aligning technology portfolios and carbon-aware models with corporate sustainability mandates and reporting.

    Strategic leaders must ensure that the digital estate supports and contributes to the organization's overall ESG goals.

    • By ensuring technology investments are tracked solely for their social impact, ignoring environmental metrics.

      ESG is holistic; environmental and governance metrics are just as critical as social ones.

    • By treating ESG as a marketing requirement separate from the digital product lifecycle.

      Version 5 integrates ESG into the strategy to ensure technology portfolios are 'ESG-ready' and compliant.

    • By outsourcing all high-carbon operations to avoid reporting them in the organization's own ESG disclosures.

      Strategy includes 'Strategic Sourcing' and 'Responsible AI,' which requires managing the carbon footprint of partners as well.

  11. 11 An organization is using 'Objectives and Key Results (OKRs)' at the portfolio level. According to the ITIL 5 Strategy model, what is the role of OKRs in strategy execution?

    Think about how strategic leaders translate 'vision' into 'action'.

    To cascade broad strategic intent into actionable initiatives and measurable business value.

    OKRs bridge the gap between high-level vision and the concrete work being done across value streams.

    • To replace individual performance reviews with algorithmic scoring systems.

      OKRs are for strategic alignment and value measurement, not human resource performance monitoring.

    • To provide a fixed set of processes that ensure no changes are made to the strategy mid-year.

      Strategy in Version 5 is 'adaptive' and 'continuous'; OKRs support this flexibility by focusing on outcomes.

    • To ensure that all technology projects are completed under the initial budget estimate.

      While cost is a factor, OKRs prioritize 'outcomes' and 'value' over simple output or budget adherence.

  12. 12 Which aspect of 'Digital Strategy' in ITIL (Version 5) is specifically designed to address the needs of Industry 5.0?

    Recall the three core tenets of ITILv5 mentioned in the 'Beyond20' source.

    The inclusion of human-centricity and resilience as primary design and governance goals.

    Industry 5.0 is characterized by these traits, ensuring that systems survive volatility and augment human judgment.

    • The focus on achieving the highest possible automation throughput to minimize human intervention.

      Industry 5.0 prioritizes human-technology collaboration and human-centricity over pure automation throughput.

    • The return to rigid, predefined service management processes from ITIL v2/v3.

      Version 5 moves further toward flexibility and 'Complexity Thinking,' not back to rigid processes.

    • A requirement that all strategy managers hold a degree in Artificial Intelligence.

      No such requirement exists; the framework focuses on 'Management Practices' and 'Leadership' across backgrounds.

  13. 13 In an 'AI-Native' organization, how do roles and ways of working change according to ITIL (Version 5) Strategic Leader guidance?

    Consider the term 'AI-Native' as defined by PeopleCert in the FAQ source.

    AI is integrated into the foundation of value streams, enhancing decision-making and automating repetitive tasks natively.

    AI-native means AI is not an 'afterthought' but a core component that influences the design of the work itself.

    • Traditional roles are abolished and replaced by a single 'AI Orchestrator' role for the entire enterprise.

      Roles evolve but do not disappear; the framework supports cross-functional teams and multidisciplinary collaboration.

    • The framework remains rigid, and AI is treated as a separate silo that does not interact with value streams.

      Version 5 integrates AI 'naturally' into practices, value streams, and roles from the outset.

    • Decision-making is fully delegated to algorithms to eliminate the risk of human bias.

      The framework emphasizes 'Human-Centric' values and 'Responsible AI Governance' to maintain accountability.

  14. 14 When applying 'Digital Ethics' to AI-augmented strategy, what does the 'Transparency' principle require of an organization?

    Think about how organizations build 'trust' with users in algorithm-driven environments.

    Ensuring that stakeholders understand how AI-supported decisions are made and what logic was applied.

    Transparency in governance is about making algorithm-driven contexts understandable and trust-based for stakeholders.

    • Publishing the entire source code of every AI model to the general public.

      Transparency involves explainability and disclosure of logic, not necessarily the disclosure of proprietary intellectual property.

    • Removing all human data from training sets to ensure total anonymity.

      While privacy is important, transparency focuses on the 'how' of decision-making rather than data removal.

    • Automating the legal review process to ensure all ethical checks are performed by a machine.

      This risks 'automating away' accountability; human judgment is still essential for ethics.

  15. 15 Strategic Leaders must manage 'Operational Resilience' alongside digital strategy. What is the framework's view on resilience in complex environments?

    Recall the 'Three Tenets' and how they apply to unpredictable, AI-integrated ecosystems.

    Resilience is the ability of systems to survive volatility and recover effectively when failures occur.

    As a core tenet of Version 5, resilience focuses on system survival and adaptability in uncertain settings.

    • Resilience is defined as the total prevention of all service failures through exhaustive testing.

      Complexity thinking acknowledges that failure in complex systems is unpredictable and often inevitable.

    • Resilience is achieved by reducing the number of digital products offered to customers.

      Resilience is a design goal for all products, not a reason to limit innovation or portfolio size.

    • Resilience is exclusively a technical concern for DevOps teams and does not require board-level attention.

      Version 5 explicitly positions resilience and strategic risk as board-level governance priorities.

  16. 16 Which strategic capability in ITIL (Version 5) focuses on balancing technology innovation with long-term viability and risk management?

    Look for the capability that specifically addresses 'responsible AI' at the board level.

    AI Governance

    AI Governance allows leaders to balance the speed of innovation with ethical, compliant, and value-driven guardrails.

    • Value Stream Mapping (VSM)

      VSM is an operational toolkit for optimizing flow rather than a board-level governance capability.

    • Continuous Integration (CI)

      CI is a DevOps practice for software delivery, not a strategic governance framework.

    • The Theory of Constraints (ToC)

      ToC is used to manage bottlenecks in transformation flows rather than the overall strategic governance of AI.

  17. 17 When assessing the 'Sustainability' of a digital strategy, why does ITIL (Version 5) emphasize ESG reporting mandates?

    Consider how the board views the organization's total impact on the world.

    To align technology portfolios with global standards for environmental impact and social responsibility.

    Version 5 expects technology to deliver value while balancing impact on 'people, profit, and planet' via ESG.

    • To ensure that IT service management teams are legally allowed to work remotely.

      Remote work is an operational choice, not the core reason for ESG strategic alignment.

    • To eliminate the need for financial audits by focusing only on social impact scores.

      ESG reporting complements financial reporting; it does not replace the 'Profit' or 'Governance' dimensions.

    • To mandate that all organizational data be stored in data centers powered by 100% wind energy.

      The framework provides guidance for 'carbon-aware' decisions but does not dictate specific energy contracts.

  18. 18 A company is integrating AI into its Customer Experience (CX) strategy. How should 'Digital Trust' be established according to Domain 6?

    Focus on the role of governance in managing stakeholder perceptions and moral obligations.

    By ensuring the AI-augmented strategy includes responsible-AI guardrails and board-level ethical oversight.

    Trust is a strategic outcome of governing AI responsibly and ensuring transparency in how it operates.

    • By informing customers that all interactions are monitored by a human to prevent AI errors.

      Establishing trust involves transparency and ethics in the technology itself, not just human monitoring.

    • By offering financial incentives to customers who agree to use AI platforms instead of human support.

      Financial incentives do not address the underlying ethical or governance concerns that build 'trust'.

    • By keeping the use of AI hidden from customers to avoid negative perceptions of automation.

      Hiding AI usage violates the core principles of transparency and digital ethics in ITIL 5.

  19. 19 In the 'ITIL Strategy Management Model,' how are strategic objectives connected to day-to-day operations during execution?

    Recall the tools mentioned in the 'ITIL Strategy Implementation Lifecycle' domain.

    By translating objectives into actionable initiatives using balanced scorecards and portfolio metrics.

    These tools allow strategic intent to be measured and tracked as it moves through the implementation lifecycle.

    • Through a rigid hierarchy where executive orders are documented in 'Standard Operating Procedures'.

      Version 5 emphasizes flexibility and 'stepping stones' over rigid, old-fashioned process documentation.

    • By delegating all operational decisions to AI agents to ensure alignment with the data strategy.

      Human judgment remains central to Industry 5.0 and the 'Human-Centric' tenet of ITIL 5.

    • By reducing the complexity of the digital estate to a single, monolithic product line.

      The framework is designed to manage 'complexity' and 'diversity,' not to force artificial simplification.

  20. 20 Why does Domain 6 include 'M&A (Mergers and Acquisitions) Strategy' as a strategic competency for the ITIL Strategic Leader?

    Consider the impact of organizational structural changes on digital products and AI governance.

    To ensure digital operating models and AI assets can be effectively integrated or divested during organizational changes.

    Managing the 'digital estate' during M&A is a critical leadership skill for maintaining strategic direction and value.

    • Because SLs are expected to perform the financial valuation of competitor firms independently.

      Financial valuation is a finance role; the SL focuses on digital strategy, operating models, and integration.

    • Because ITIL 5 is only applicable to firms that are actively acquiring other companies.

      The framework applies to all organizations, but M&A is a specific domain of advanced strategic management.

    • To provide a way to bypass competitive hiring practices by acquiring talent through firm takeovers.

      Talent strategy is part of workforce planning; M&A is a broader strategy for the digital portfolio and capabilities.

  21. 21 A board-level 'Strategic Risk Register' in ITIL 5 would most likely include which of the following risks?

    Identify the risk that has the potential to fundamentally disrupt the organizational vision or purpose.

    Loss of digital trust due to a high-profile ethical failure in an AI-driven service.

    Strategic risks are those that impact the organization's long-term viability, reputation, and alignment with business goals.

    • A temporary outage of a non-critical printer server in a branch office.

      This is an operational risk managed at the 1st line, not a strategic board-level concern.

    • A minor increase in the licensing cost of a standard office software suite.

      While financial, this is a budgetary/operational matter rather than a strategic redirection risk.

    • Failure of an employee to complete their annual security awareness training on time.

      This is a compliance/operational oversight, typically managed through standard HR or management practices.

  22. 22 Which 'Industry 5.0' tenet focuses on ensuring technology serves human needs and judgment rather than replacing it?

    Consider the core principle that addresses 'judgment, ethics, and creativity'.

    Human-Centric

    Human-centricity ensures technology augments human creativity and judgement, keeping humans at the center of the value system.

    • Sustainability

      Sustainability focuses on long-term viability and environmental/social impact.

    • Resilience

      Resilience focuses on surviving failures and volatility in complex systems.

    • Product-Centric

      This is a scope definition (DPSM) rather than a tenet of the Industry 5.0 philosophy.

  23. 23 How does ITIL (Version 5) Strategic Leader guidance recommend addressing 'Digital Disruption'?

    Focus on the need for 'adaptability' in a VUCA (Volatile, Uncertain, Complex, Ambiguous) environment.

    By developing adaptive strategy and innovation portfolios that allow for rapid pivoting and response to market shifts.

    Strategic leaders must lead disruption responses by being flexible and evidence-based in their decision-making.

    • By creating a static 'Disruption Response' document that is reviewed once every five years.

      Static documents are insufficient for 'rapid and frequent change' environments described in the source.

    • By ignoring disruption to focus on traditional IT stability and cost-reduction metrics.

      Stability is secondary to 'agility' and 'adaptability' in the AI-native Version 5 framework.

    • By using AI to predict and prevent all forms of market competition.

      Predictive AI is used, but it is impossible to prevent all competition; the goal is effective response and resilience.

  24. 24 Within the 'Strategic Direction Setting' domain, what is the purpose of using 'Wardley Mapping'?

    Recall the tools used for 'Direction Setting' and 'Situational Awareness'.

    To visualize the evolution of components in a value chain and identify strategic opportunities.

    Wardley Mapping is used for situational awareness and understanding the landscape for strategic decision-making.

    • To identify the geographical locations of all physical data centers.

      This is a physical mapping task, not the strategic intent of Wardley Mapping.

    • To replace traditional 'Service Value Chain' diagrams for all operational teams.

      Wardley Mapping is a strategic tool, whereas the Service Value Chain (or Product/Service Lifecycle) is a structural framework.

    • To track the movement of employees between different departments in an organization.

      Workforce planning tracks employee movement; Wardley Mapping tracks the evolution of technology and services.

  25. 25 An organization is applying 'FinOps Strategy' to its AI initiatives. What is a key indicator of success in this area according to Domain 6?

    Look for the answer that connects 'expenditure' with 'measurable outcomes'.

    All AI compute costs are justified by the co-created business value they deliver.

    FinOps success is measured by the clarity of the relationship between technology spend and strategic value realization.

    • The organization has eliminated all variable cloud spending.

      FinOps manages variable spending for value; it does not necessarily eliminate it.

    • The IT department is the only unit authorized to view the AI cost dashboard.

      FinOps requires transparency and 'collaboration' across business and technology functions.

    • The cost of AI training data has been reduced to zero through the use of synthetic data.

      This is a technical/cost-saving metric, not a strategic FinOps success indicator.

  26. 26 How does ITIL (Version 5) Strategic Leader framework characterize the 'Service Journey' in an AI-native environment?

    Think about the move toward 'experience-led service design' and stakeholder outcomes.

    As an end-to-end flow from stakeholder need to outcome across diverse digital touchpoints and interactions.

    The service journey formalizes how stakeholders co-create value across the entire lifecycle.

    • As a series of disconnected technical transactions performed by automated bots.

      The framework emphasizes integrated value streams and holisitic experience management.

    • As a legacy concept from ITIL 4 that has been replaced by 'AI Prompt Engineering'.

      The service journey is expanded and formalized in Version 5, not replaced by prompt engineering.

    • As a rigid set of mandatory steps that all customers must follow to receive support.

      Version 5 prioritizes 'minimal friction' and 'flexibility' over rigid, mandatory process steps.

  27. 27 Which of the following is a key 'Strategy Implementation' output for an AI-augmented initiative?

    Recall the specific outputs of the 'Strategy Implementation Lifecycle' module.

    Target Operating Model (TOM) designs and implementation initiatives aligned with the strategy.

    Strategic intent is translated into reality through operating model design and specific change initiatives.

    • A list of developers who have been laid off due to automation.

      This is a byproduct of poor change management, not a core strategic implementation output.

    • The original ITIL 4 Service Value Chain diagram for the entire organization.

      Implementation focuses on new ITIL 5 Product and Service Lifecycles and specific operating models.

    • A collection of AI-generated mission statements for internal review.

      Mission statements are 'Strategy Development' outputs; implementation is about 'action' and 'initiatives'.

  28. 28 A board is worried about 'Digital Disruption' and 'Operational Resilience.' According to ITIL 5, how should these concerns be managed at the board level?

    Think about what a board needs to see to maintain 'oversight' and 'accountability'.

    By implementing 'Board Reporting and Dashboards' that track strategic risks, ESG metrics, and AI compliance.

    Board-level GRC requires clear, strategic visibility into these key areas of impact and risk.

    • By shifting focus away from AI to minimize the technical complexity of the organization.

      Version 5 encourages embracing AI responsibly, not avoiding it due to complexity.

    • By hiring external consultants to take over all strategic decision-making.

      Organizational leadership must retain accountability for their own strategy and governance.

    • By requiring all managers to memorize the 34 ITIL practices via PeopleCert Plus.

      Memorization is not a governance strategy for managing disruption or resilience.

  29. 29 What is the relationship between 'Sustainable Strategy Management' and 'Daily Operations' in the Strategic Leader path?

    Look for the answer that mentions 'balancing change with ongoing operations'.

    Strategy implementation must balance necessary transformational changes with the stability of business-as-usual operations.

    A key challenge for leaders is executing strategy without destabilizing the current services that create value.

    • Operations should be completely halted while a new sustainability strategy is being developed.

      This would cause total business failure; strategy implementation must balance change with ongoing operations.

    • Sustainability should be ignored in daily operations to ensure maximum short-term profit.

      Sustainability is a core pillar that must be embedded into all levels of activity for long-term viability.

    • Daily operations are the sole responsibility of AI agents, while humans focus only on strategy.

      Industry 5.0 emphasizes human-technology collaboration across both tactical and strategic levels.

  30. 30 In the ITIL 5 Strategic Leader qualification scheme, how is 'AI Governance' positioned relative to the 'ITIL Master' designation?

    Think about the role of 'Extension Modules' in the overall scheme structure.

    It is an optional specialization that does not replace any mandatory stream in the ITIL Master path.

    Extension modules provide focused knowledge without changing the mandatory certification structure for Master.

    • It is a mandatory prerequisite for the ITIL Master designation.

      The ITIL Master designation requires the three core streams (PM, MP, SL), but extension modules are optional.

    • It is only available to those who have already achieved the ITIL Master status.

      Extension modules have no prerequisites and can be taken at any time, including by those without Foundation.

    • It is the final exam required for all candidates transitioning from ITIL 4 Master to ITIL 5 Master.

      There is a 'Managing Professional Transition' module for this, not the AI Governance extension.