DRAIDIS Use Case
Local decision support and battle-rhythm workflows for degraded communications
The Challenge
The Army's Next-Generation Command and Control (NGC2) vision calls for a common operating picture across echelons, while contested spectrum and degraded communications constrain cloud-dependent workflows at the point of need.
How DRAIDIS Solves It
DRAIDIS connects the command-and-control feeds your program selects, runs chosen AI workloads locally, drafts reports, and presents source-linked recommendations for staff review. During the pilot, your team tests data quality, interfaces, update latency, offline behavior, and operator workflow under expected network conditions. Your team controls whether mission records may be used to evaluate or improve a model.
Connect Mission Feeds
Connect selected messages, tracks, reports, and summaries through API adapters, then test each interface with the program's data.
Resolve Entities
Compare tracks from multiple sensors and present possible matches with confidence and source attribution for analyst review.
Assess the Situation
Compare correlated entities with the doctrine, order-of-battle data, and activity baselines your team provides, then rank possible threats for review.
Build the Operating View
Present selected information in a layered operating view for configured ATAK clients and the web workspace.
Draft Battle-Rhythm Reports
Prepare draft SITREPs, INTSUMs, and LOGSTATs from selected events. Staff officers review, edit, and approve each report.
Support Decisions
Let operators ask natural-language questions and inspect the source references behind each answer before using it in a decision.
Synchronize Updates
When connectivity is available, exchange the updates your team selects with higher echelon and adjacent units over configured links.
Record the Decision Trail
Record sources, model version, confidence, evidence, policy checks, and the operator response for the recommendations your team chooses to track.
Deployment Configuration
This reference design spans 2 DRAIDIS tiers. The pilot defines and tests the coverage needed for your environment.
DRAIDIS BRAVO
Supports local data fusion, operating-view, and reporting workflows at selected command posts. The pilot tests which functions remain available during link outages.
DRAIDIS CHARLIE
Connects selected BRAVO nodes, AWS Outposts workloads, and regional services for command-level aggregation and a shared operating view.
Key Capabilities
Purpose-built AI capabilities for this mission set.
Multi-Domain Fusion
Compare selected space, cyber, EW, logistics, and kinetic inputs in one view, with possible entity matches presented for analyst review.
Natural Language Querying
Ask questions about selected mission data and inspect source references and confidence before using the answer.
Battle-Rhythm Drafting
Prepare draft SITREPs, INTSUMs, and LOGSTATs from the operating view for staff review and approval.
Local Operations
Place selected functions on local hardware and synchronize chosen updates when a link returns.
NGC2 Interface Adapters
Configure adapters for the NGC2 interfaces your program selects, then test data exchange in the target environment.
Human-Controlled AI
Show sources, confidence, policy checks, approvals, and operator actions at the decision points your program defines.
Performance Metrics
Measure
Operating-view update latency
Measured
Reporting-efficiency baseline
Local
Disconnected processing mode
Selected
Mission data-source scope
Plan a Pilot for This Workflow
Review how DRAIDIS could support ngc2 command & control, then define the interfaces, data, hardware, controls, and operating conditions your team wants to test.