Sourced artificial intelligence and software context
Models, products, and production services: Dynamics 365 Supply Chain
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. Convert the operating setting into sites, warehouses, item dimensions, replenishment rules, production parameters, and reservation behavior. Ask the consultant to trace one item through the required flow. 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 plan-to-fulfill scenario with item, site, warehouse, supply, reservation, picking, 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: Dynamics 365 Supply Chain
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 Supply Chain Management, Finance, Commerce, warehouse tools, product systems, carriers, and suppliers. Require a matching 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 data-entity, event, or service integration with mapping, identity, retries, monitoring, and 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: Dynamics 365 Supply Chain
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 stabilization ownership. Candidates should cover items, vendors, inventory balances, open orders, planning runs, security, batch jobs, 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 supply-chain cutover the consultant owned, including stock validation, open transactions, batch processing, 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.