Sourced government-connected technology context
Controlled delivery and contract boundaries: SAP PP
The Washington DC Economic Partnership connects the District's technology sector with government agencies, private contractors, established companies, and startups. 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. Government-connected systems may separate environments and organizations while adding procurement limits, accessibility requirements, approval records, fixed release windows, and contract handoffs.
Evidence to request: Use a demand-to-production exercise and require planning, supply, capacity, order, confirmation, quality, and costing decisions. Document the agency or customer boundary, hosting model, system owner, approval path, maintenance window, evidence retention, and transfer between teams.
Sourced cybersecurity context
Identity, sensitive data, and audit evidence: SAP PP
The partnership identifies cybersecurity as a central part of Washington's technology sector and connects the field to agencies and contractors. 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. Security-sensitive work can require controlled identities, least-privilege access, protected data, artifact provenance, vulnerability handling, incident records, and proof of each production change.
Evidence to request: Review a shop-floor or planning interface with mapping, timing, failure handling, replay, and production reconciliation. Name the identity authority, sensitive records, access-review owner, security gates, emergency path, retained logs, and remediation deadline attached to the system.
Sourced artificial intelligence context
Model, data, and service governance: SAP PP
Artificial intelligence appears as a named focus within the partnership's technology profile for Washington. 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. AI-enabled services can add model artifacts, source-data permissions, evaluation gates, cost limits, human review, monitoring, and rollback decisions to an existing business process.
Evidence to request: Ask for a plant cutover or planning recovery the consultant owned, including stock, open orders, jobs, exceptions, and fallback. Clarify whether the role owns the business workflow, source data, model service, integration, evaluation, access control, monitoring, or incident response.