Business Readiness, Leadership, and AI Transformation

AIB-C01 · 48 questions

• A county CIO office completes a cross-department AI readiness assessment ahead of deploying a new GenAI assistant. The findings show strong leadership enthusiasm and budget support, but no established data governance body exists to oversee data use, quality, or access decisions. Which readiness gap should the office address first?
• A city housing authority evaluates itself against a five-stage AI maturity model: initial, developing, defined, managed, optimizing. The assessment evidence shows the agency has deployed several AI tools across departments, but each department's data remains siloed from the others and no post-deployment monitoring process exists for any tool in production. Which maturity stage does this evidence best support?
• A regional transit authority runs a people/process/technology/governance gap analysis before scaling a route-optimization AI tool. The technology stack is modern and well-funded, governance policies are documented, and process workflows are mapped, but frontline planners lack the analytical skills to interpret and act on the tool's recommendations. Which readiness dimension is the true bottleneck?
• A school district's AI readiness review finds that cloud infrastructure is already solid and well-provisioned for a planned AI-based grading tool, but a staff survey reveals deep distrust of AI grading among teachers, many of whom fear it will replace their professional judgment. Which readiness constraint is actually binding the district's rollout?
• A public-health agency plans to pilot a GenAI triage-support tool across several divisions, but the readiness review finds that each division follows different, inconsistent record-keeping standards for patient intake data. What should the agency do before scaling the pilot?
• A county administrator's office is preparing an executive briefing on AI readiness and must choose between benchmarking against a generic industry maturity model or building a custom department-specific scorecard. The briefing's goal is to let executives compare the county's standing against peer organizations. Which approach best fits that goal?
• An emergency management agency's AI readiness assessment finds that the agency director actively champions AI adoption and has secured funding for several pilot projects, but no cross-functional body exists with the authority to review use cases, approve deployment, or intervene when a project raises operational concerns. What should the assessment identify as the primary readiness gap?
• A public library system completes an AI readiness self-assessment. Its cloud infrastructure is modern, scalable, and already supports several digital services, but the library has no formal process for classifying proposed AI use cases by risk level before they move forward, such as distinguishing a low-risk catalog recommendation tool from a higher-risk patron-facing chatbot handling personal data. What kind of gap does this represent?
• A municipal utility has a fixed year-end budget and must choose between two proposals: a data-quality remediation initiative that cleans up inconsistent meter-reading records across legacy systems, or a higher-visibility generative AI chatbot pilot for customer billing questions that would rely on those same records. Which proposal should the utility prioritize?
• A parks and recreation department wants to move directly to an enterprise-wide deployment of an AI scheduling and maintenance system across every facility. Before approving the rollout, the CIO runs a readiness check and finds unresolved capability gaps: inconsistent facility data, no defined incident-escalation process for AI errors, and staff who have not been trained on the new tool. What should the CIO recommend?
• A courts and clerk's office readiness assessment finds that the IT director wants to expand an AI document-summarization pilot to case files across every division, while the general counsel believes the pilot should stay limited to non-sensitive administrative records until further legal review. Both leaders agree the technology performs well in testing. What does this assessment reveal as the primary blocking factor?
• A regional 311 program completes a readiness assessment scoring four capability dimensions: leadership sponsorship scores high, technology infrastructure scores moderate, workforce skills score low, and data governance scores low. The agency has enough budget for exactly one investment next fiscal year, and several stakeholders are pushing for a new infrastructure upgrade. Based on the assessment scores, what should the program prioritize?
• A county government plans a cross-agency generative AI assistant to help caseworkers screen residents for eligibility across health, social services, and housing programs. During planning, the county discovers that each department stores its client data in a siloed system with no agreed process for sharing records across agencies. What should the county establish before the assistant can move forward?
• A city IT department is preparing to pilot an Amazon Bedrock-based knowledge base so employees can look up internal policy documents through natural-language search. The technical design is nearly finished, but no one has decided who is responsible for approving which policy documents get loaded into the knowledge base or for keeping outdated versions out of it. What should the department resolve before launching the pilot?
• A metropolitan transit authority wants to launch an AI-powered trip-planning assistant that gives riders real-time route and transfer guidance, but ridership and schedule data live fragmented across three separate legacy scheduling systems that don't share a common format. What should the transit authority prioritize before building the AI assistant?
• A school district is preparing a GenAI tutoring pilot that will train or ground the tool on student academic data. District leaders are debating whether the IT department should independently own decisions about how that student data is governed, or whether a broader group should be involved. Which approach best reflects sound AI governance practice for this decision?
• A public-health agency is preparing to scale an AI model that processes personally identifiable patient information from a limited pilot to agency-wide use. Before expanding, agency leadership wants to confirm the right foundation is in place. What should they establish first?
• A county housing authority wants to deploy an AI-assisted eligibility-screening tool that would draw on income and benefits data held by a state agency. What must the county establish before the technical build of the screening tool proceeds?
• A municipal utility is preparing to launch a predictive-maintenance AI initiative for its water infrastructure, but an internal review finds that meter readings are frequently missing or inconsistent across service areas. What should the utility do before proceeding with the initiative?
• A city parks department ran a small pilot of an AI chatbot that answers questions about park hours and reservations. Before scaling the chatbot department-wide, leadership wants to know whether the department's existing technology infrastructure can handle the increased usage. What is the appropriate next step?
• An emergency management agency wants to deploy a disaster-response AI tool that recommends resource allocation across county and state jurisdictions during major incidents. Planning reveals that county and state emergency data are governed separately with no shared framework. What is missing that the agency should establish first?
• A consortium of independently governed public libraries wants to deploy a shared AI-powered catalog assistant that searches across every member library's collection. Each library maintains its own board and its own policies about its catalog data. What question must the consortium resolve before deploying the shared assistant?
• A county clerk's office holds most of its historical property and vital records as scanned images of paper documents with no extracted text or structured fields. The office wants to deploy an AI tool to extract and search this information. What is the foundational blocker the office must address first?
• A citywide 311 call center is deciding whether to centralize citizen-request data into one repository or keep it federated across department systems before deploying an AI routing tool. Which approach best supports a solid data foundation for the AI initiative?
• A city manager designates one AI champion in each department to help drive adoption of a new GenAI drafting tool for public communications. Which trait makes a champion network most effective at driving genuine adoption?
• County social services caseworkers worry that a new AI eligibility-screening tool will replace their jobs. Which communication approach best supports responsible change management during the rollout?
• A transit authority runs an internal hackathon inviting frontline staff to propose GenAI use cases for daily operations. What is the correct way for leadership to interpret the hackathon's strategic purpose?
• A school district rolling out an AI grading-assistance tool to teachers must sequence training, piloting, and feedback collection. Which sequence best supports a responsible rollout?
• Clinicians at a public-health department distrust recommendations from a new AI-assisted diagnosis-support tool. Which leadership intervention is most likely to build genuine clinician trust?
• A county IT director seeks executive sponsorship for an enterprise AI initiative, but the CFO has not been meaningfully engaged. What risk should leadership recognize in this situation?
• A municipal utility is automating meter reading with AI and must decide how to transition affected field staff into new roles. Which workforce-transition approach best reflects responsible change management?
• A city 311 director wants to run a small proof-of-concept GenAI response tool before committing to a workforce-wide rollout. What is the correct strategic purpose of this POC?
• A housing authority forms a cross-functional AI working group spanning IT, legal, program staff, and frontline caseworkers. Why does this composition matter for responsible AI decision-making?
• A courts administrative office faces resistance from judges' support staff toward an AI-assisted document-review tool. Which leadership response most effectively addresses this resistance?
• A parks department is preparing to scale an AI chatbot to residents but has not yet trained frontline staff to handle escalated cases. What should leadership recognize about this plan?
• An emergency management agency has not defined who is accountable when an AI-generated dispatch recommendation turns out to be wrong. What should leadership establish first?
• A city AI strategy office establishes an AI Center of Excellence to standardize how successful pilots move to enterprise scale across departments. What is the COE's core function?
• A county's successful 311 chatbot pilot in one department is ready to move toward citywide deployment. Within an envision, experiment, launch, scale transformation model, what is the correct next phase?
• A transit authority's predictive-maintenance pilot succeeded at a single depot, and leadership is considering scaling it to every depot. What should be established before proceeding with enterprise-wide scaling?
• A school district scaling a successful AI tutoring pilot district-wide must define how ongoing performance will be tracked after launch. What should leadership establish?
• A public-health agency scaling an AI triage tool must plan for what happens if the system becomes unavailable during peak demand. What should this business-continuity plan include?
• A housing authority's AI pilot succeeded on temporary grant funding, and leadership must plan how to sustain it at enterprise scale once the grant ends. What should this plan establish?
• A municipal utility is moving an AI pilot to enterprise scale without having defined what success will look like at that scale. What risk should leadership recognize?
• A county clerk's office scaling a document-processing AI tool must decide which governance body will own production oversight going forward. What is the correct governance transition?
• A library consortium scaling an AI catalog assistant across all member branches must decide between a shared playbook and independent branch-by-branch builds. Which approach is preferable for enterprise-wide scaling?
• An emergency management agency's successful resource-allocation pilot needs cross-agency coordination before it can scale to the full region. What should leadership recognize as the binding constraint on scaling?
• A city court system scaling an AI-assisted case-triage tool from one pilot court to all courts must avoid disrupting the existing case backlog during rollout. What should the scaling plan prioritize?
• A regional transit authority's AI Center of Excellence reviews several department pilots to decide which to scale, pause, or terminate for the coming year. What should drive this prioritization decision?