The FlexVertex sidecar pattern enables organizations to unify knowledge, reconstruct decisions, detect drift, and support AI workloads without replacing existing systems of record.

Most physical AI failures are system failures rooted in missing state. Logs, vectors, and explainability cannot reconstruct the exact conditions under which decisions were made. This paper outlines a shift toward structured, connected, and version-pinned state models that enable deterministic replay and true auditability.