Sourced artificial intelligence and software context
Models, products, and production services: SAP PP
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 setting into material masters, planning strategies, lot sizes, bills of material, routings, work centers, and order controls. Ask the consultant to trace one product from demand through confirmation and receipt. 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 demand-to-production exercise and require planning, supply, capacity, order, confirmation, quality, and costing 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: SAP PP
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 PP, Materials Management, Sales, Quality Management, plant maintenance, costing, warehouse tools, and manufacturing systems. Require a comparable integration example with recovery steps. 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 shop-floor or planning interface with mapping, timing, failure handling, replay, and production reconciliation. 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: SAP PP
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 data, testing, cutover, and plant-support ownership. Candidates should cover materials, recipes or routings, resources, inventory, open orders, planning runs, interfaces, and operational 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 plant cutover or planning recovery the consultant owned, including stock, open orders, jobs, exceptions, and fallback. Name the facility and workload boundary, capacity unit, power and cooling dependencies, availability target, access model, maintenance path, recovery test, and change authority.