Sourced artificial intelligence and software context
Models, products, and production services: Dynamics 365 CRM
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 accounts, contacts, opportunities, cases, work orders, assets, and activities. Require a reason for each custom table or process variation. 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 process-design case and require table, form, automation, security, reporting, and ownership 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 CRM
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. Define the Dataverse, Power Platform, ERP, identity, and external-service boundaries. Candidates should cover APIs, events, virtual tables, security, retries, and monitoring. 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 an ERP or external integration with source-of-truth rules, matching, failure handling, replay, 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 CRM
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. Set migration and release ownership. Ask how the consultant profiles source data, controls duplicates, tests roles and automation, sequences cutover, and supports users afterward. 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 migration or release the consultant owned, including data quality, role testing, defects, training handoff, 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.