Case Workflow Orchestration Engine (Plug-in Middleware Product)
A lightweight, agency-deployable workflow orchestration engine that sits between legacy case management systems and provides a unified 'case view' and automated routing logic. Staff log into ONE interface that pulls real-time data from multiple backends (CLAIMS, ELIS, visitor databases, correspondence systems) and automatically routes cases through defined workflows (e.g., 'security screening → background check → interview scheduling') without manual handoffs. The engine is deployed as containerized software on agency servers, not as a SaaS platform.
29 weeks • 70% confidence
Value Proposition
Provides unified case view and automated routing WITHOUT replacing legacy systems or moving data to cloud. Deployed in 6-8 weeks on agency infrastructure. Reduces case processing time by 30-50% by eliminating manual data lookups and routing delays. Fully auditable and compliant with FedRAMP/FISMA requirements because it runs on-premise.
Target Audience
Federal agencies with 50-500 case workers processing time-sensitive cases (DHS, USCIS, State Department visa units, FBI field offices) that cannot tolerate cloud-only solutions or long vendor lock-in contracts
Key Features
- Unified dashboard showing cases from all connected systems in a single view (no tab-switching)
- Drag-and-drop workflow builder: agencies define case routing rules without coding (e.g., 'if country=China, route to senior reviewer')
- Automatic task assignment and escalation based on staff availability and case priority
- And more, with full implementation detail...
Tech Stack
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Sign up freeOriginal Problem
Government agencies struggle to integrate and manage multiple legacy case management systems across departmentsLarge government agencies like DHS need to consolidate data and workflows across fragmented systems (case management, visitor programs, correspondence tracking) that don't communicate with each other, causing delays in critical operations like immigration processing and security screening. Current solutions fail because they're built as isolated silos rather than integrated platforms, forcing staff to manually transfer data between systems and creating bottlenecks in time-sensitive cases.
Score: 18.1% • 2 demand signals