Sourced artificial intelligence and software context
Models, products, and production services: Workday HCM
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 operating context into supervisory organizations, staffing models, business processes, and eligibility rules. Ask the consultant to explain the downstream effect of each design choice. 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 a worker-event scenario and ask for organization, process, rule, security, 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 HCM
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 the security and integration boundary. Require evidence from domain and business-process security, inbound or outbound interfaces, payroll vendors, benefits providers, or identity systems. 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 security or integration defect with the affected population, diagnosis, correction, and regression test. 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 HCM
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 and testing ownership. Candidates should cover worker data, organizations, compensation, benefits, calculated fields, reports, exceptions, and business sign-off. 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 conversion cycle the consultant owned, including mapping, validation, exception handling, 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.