Anduril LatticeOS: Autonomous Operations Model: Schema, Counter-Narrative, and Implementation

LatticeOS is not an AI operating system. It is a data ontology enforcement layer with a tasking bus. This technical position note maps LatticeOS (SDK v4.4.0) onto a 4-layer Autonomous Operations Model (AOM) skeleton (cognitive, coordination, control, and governance) and identifies the gap between what the platform currently provides and what a complete AOM implementation requires. The core finding is that the traceability and governance problem is a tenant observability problem, not a platform problem: the ML inference workloads running on top of Lattice require instrumentation, not the message bus itself. The paper specifies a minimal governance overlay: signed intent capsules with MIO constraint chains, a rule-based auditor agent, OpenTelemetry sidecar tracing on edge nodes, an anti-complacency human decision UI, and a phased implementation roadmap with explicit numerical gates. The $20B U.S. Army enterprise contract consolidating 120+ procurement actions is identified as the delivery vehicle for governance updates at software-update cadence. The primary failure mode is identified as automation complacency (OWASP ASI09), not AI error: the structural defense is a forced-choice operator UI that requires active classification commitment rather than passive approval. An evidence table with source-type and confidence ratings and a full limitations section accompany the analysis.