Organizations often begin document automation with rules. Define a template, map fields, extract values, and move data into systems. It works well at first. Then new vendors appear, formats change, and documents arrive in unexpected layouts. Rules multiply. Maintenance increases. Errors become frequent. Teams start spending more time fixing outputs than processing documents. This is where rule-based systems begin to fail. This blog explains how rule-based document processing works, why it performs in limited scenarios, and what happens when scale, variability, and complexity increase across enterprise workflows. What Is Rule-Based Document Processing? Rule-based systems rely on predefined logic to extract and process data. Definition of Rule-Based Extraction in Enterprise Systems These systems use fixed rules to identify fields and extract values from documents. How Rules, Templates, and Patterns Are Used Templates define positions, patterns define formats, and rules map extracted data to fields.…