▸case-19 We need an official legal certification audit report confirming our AI-driven service desk complies with EU GDPR Article 22 requirements regarding automated individual decision-making. Can you provide the legal audit sign-off and official compliance certification documentation? | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-13 Where should the automated compliance and governance gate sit relative to the CI/CD deployment pipeline when connecting DevOps practices with service value chain activities? | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-12 Our organization manages digital applications as independent IT projects that close after deployment. This results in unmaintained legacy applications and unknown total operational costs. How should we shift our management approach for modern digital assets? | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-10 Our AI data science teams and IT infrastructure operators work in separate silos. AI developers release models into production, but infrastructure engineers have no visibility into model performance until incidents occur. What operational tooling practice bridges this gap? | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-22 Our centralized IT operations center is overwhelmed by thousands of unaggregated monitoring alerts every hour, leading to operator fatigue and delayed incident responses. How should event management be modernized in high-velocity environments? | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-05 Our operations group is building an AI initiative and wants to prioritize automating our most complex, low-volume, high-severity incident resolution workflows using custom LLM agents. How should we structure our automation roadmap across incident types? | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-11 Our engineering organization is planning a massive, all-at-once global rollout of a new AI-driven recommendation feature across our entire customer base. What deployment and validation strategy should be used to minimize operational risk? | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-21 Our Agile development team is holding a sprint planning meeting. Here are five user story descriptions for our new microservice. Please assign Fibonacci story point estimates to each story and run our daily standup facilitation script. | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-02 Our IT operations leadership team wants to embed environmental sustainability and circular economy targets into our digital service delivery. Can you draft an operational implementation framework that details how to incorporate green metrics into asset management databases, service level agreements, compute scheduling, and pre-deployment software assessments? | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-17 Our CTO wants to throw out our entire ITIL 4 Service Value System (SVS) investment and purchase a brand-new proprietary management platform for ITIL 5. What foundational principle should guide this transition? | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-09 Our compliance team is insisting on manual Change Advisory Board (CAB) reviews for every release in our cloud-native environment, which is causing severe deployment bottlenecks. How should high-velocity IT environments achieve regulatory compliance without manual gating? | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-01 We are looking to upgrade our enterprise service desk from our current ITIL 4 setup to an AI-assisted product model. Please provide a strategic modernization blueprint structured as an executive briefing. Outline the core design principles to follow, how team ownership should shift, specific governance controls needed when implementing algorithmic decision-making, and how problem management should handle model-related issues. | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-16 We plan to replace our manual password reset and user access provisioning team with an automated AI system. Our leadership team wants to focus exclusively on selecting the software vendor. What broader architectural framework must be evaluated before proceeding? | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-07 Our enterprise digital platform currently measures customer success exclusively using standard technical uptime SLAs like 99.9% availability. Executive leadership complains that users report significant frustration despite meeting all uptime targets. How should we update our service delivery metrics? | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-03 We are trying to align our fast-moving DevOps pipelines with formal IT service management value streams without slowing down releases. Please write a value stream integration guide explaining how to handle change approvals and deployment gates, how monitoring and configuration management should evolve for immutable environments, and how financial tracking should adapt for cloud compute costs. | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-14 We are updating our configuration management database (CMDB) schema to support circular IT principles. What specific carbon tracking metric should be added to hardware configuration items across their lifecycle? | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-15 A vendor is proposing an expensive generative AI plugin for our internal wiki. Our CIO wants to approve it immediately to stay ahead in AI adoption, even though no clear workflow improvement has been identified. What core guiding principle should govern this investment decision? | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-04 We want to implement a machine learning classifier to auto-approve standard and low-risk production changes in our CI/CD pipeline. Our engineers want to use a deep neural network ensemble model because of its high predictive accuracy, even if its decision path cannot be easily explained. How should we establish governance for this automated change approval mechanism? | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-06 We are re-architecting our customer incident intake process. The team wants to deploy a single rule-based chat bot that routes tickets to tier-1 agents. How can we modernize this intake mechanism to leverage advanced AI capabilities during the engage phase? | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-08 We are renewing contracts with our primary cloud managed service providers. Traditionally we evaluated them based on server uptime and incident response response times. How should we modernize our vendor evaluation framework for digital product management? | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-18 Our software development team is about to initiate the build phase for a high-throughput transaction engine. What specific sustainability evaluation gate must be passed before software construction begins? | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
▸case-20 Here is our data center electrical utility log in kilowatt-hours and diesel generator fuel consumption in liters for Q3. Please calculate our exact Scope 1 and Scope 2 greenhouse gas emissions in metric tons of CO2 equivalent using GHG Protocol emission factors for tax reporting. | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |