Fecha de publicación: -- Fuente: WIPO "tomato" Novel methods and systems derive meaning from context to automate processes that currently require significant human judgment and intervention. An autonomous, Event-driven system runs continually over time, responding to new information (including the mere passage of time) by employing contextual semantic derivation (CSD), often in parallel, to discern relationships within and across documents that are otherwise difficult to derive (DDRs). Such relationships are maintained in one or more iteratively traversed and updated knowledge graphs, providing Relationship Persistence leveraged to perform Document-Processing Tasks (Capture, Classification, Matching, Reconciliation) and Higher-Level Tasks (Interrogation, Anomaly detection and resolution, Decisioning, Compliance, Analytics). The automated performance of Workflow Tasks constitutes an Agentic Workflow. In some embodiments, Context-Derived Conditioning conditions a Workflow Task on conditions reflected in the knowledge graphs rather than static rules, and accumulated risk drives transitions among relationship states to gate operations and incorporate post-decision feedback.