GraphMind: From Operational Traces to Self-Evolving Workflow Automation

ArXi:2605.17617v2 Announce Type: replace Complex operational workflows coordinating personnel, tools, and information are central to system operations, yet end-to-end automation remains challenging due to extensive human input requirements and limited ability to adapt over time. We present GraphMind, a system that constructs, executes, and evolves action-centric workflow graphs with minimal human effort. The system operates in three phases.