The peer review process is the critical bottleneck in scholarly communication, consuming weeks of editorial labor for manual reviewer identification, conflict checks, and follow-up. A custom automation workflow directly targets this operational drag by deploying specialized agents to parse manuscript content, query institutional and public expertise databases, and score potential reviewers on relevance, availability, and past performance. The architecture integrates with editorial management systems (e.g., Editorial Manager, Open Journal Systems) to ingest submissions, apply configurable business logic for matching, and trigger automated invitation sequences, reclaiming 40-60% of editorial coordinator time.




