Sourced artificial intelligence and software context
Models, products, and production services: Workday Student
The City of San Jose identifies artificial intelligence as a priority growth sector and includes AI training and job-matching programs in its fiscal year 2025 to 2026 economic plan. Translate the institutional setting into academic units, periods, programs of study, course sections, student cohorts, eligibility rules, and business processes. Ask how the design affects records and student service. AI product work can join source data, models, application code, evaluation, user feedback, cost controls, access rules, and production support under separate owners.
Evidence to request: Use an applicant-to-enrollment exercise and require academic, process, eligibility, security, billing, and reporting decisions. Define the user decision, model boundary, source data, evaluation set, deployment path, access control, cost target, failure response, and approving product owner.
Sourced semiconductors and advanced manufacturing context
Engineering, fabrication, and supply controls: Workday Student
A July 2025 City of San Jose economic-development release names advanced manufacturing and semiconductors among the industries the city plans to attract, retain, and grow. Set boundaries among Workday Student, HCM, Financials, identity, learning systems, federal or provincial aid services, payment tools, and campus applications. Require a comparable integration example. Semiconductor and manufacturing programs may connect product definitions, equipment, process recipes, production schedules, quality results, suppliers, inventory, maintenance, and cost records.
Evidence to request: Review a campus interface or student-record defect with the affected population, diagnosis, correction, replay, and validation. Set the design or plant boundary, product revision, process control, equipment interface, traceability unit, quality release, supplier handoff, change window, and support owner.
Sourced data centers and energy infrastructure context
Capacity, continuity, and facility operations: Workday Student
San Jose's July 2026 large energy-use project page distinguishes data centers from research laboratories, advanced manufacturing sites, electric-vehicle charging hubs, and other power-intensive facilities. Define conversion, testing, cutover, and term-support ownership. Candidates should cover applicants, students, curricula, enrollments, balances, aid records, security, reports, exceptions, and reconciliation. These facilities can combine power, cooling, networks, physical security, capacity, asset maintenance, environmental controls, backup systems, and tenant or workload commitments.
Evidence to request: Ask for a term conversion or registration cycle the consultant owned, including record validation, role testing, exceptions, communication, and acceptance. Name the facility and workload boundary, capacity unit, power and cooling dependencies, availability target, access model, maintenance path, recovery test, and change authority.