Pre-Maven operations required simultaneous use of eight or nine separate systems for data cross-referencing and manual intelligence compilation. Maven consolidated these behind a single interface that Pentagon Chief Digital and AI Officer Cameron Stanley termed an "abstraction layer" concealing underlying complexity. Human operators manage targeting while machine learning systems analyze imagery and sensor data, scoring identification confidence. Three clicks convert map data into formal detections entering targeting pipelines, then progressing through engagement rule columns. The system recommends strike methods - aircraft, drones, missiles, weapons - with officers selecting from ranked options before approval or execution.
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