What is AI Document Analysis?
Overview
AI Document Analysis in Procurize AI is an automated process that evaluates documents in the knowledge base to identify inconsistencies and potential conflicts. The analysis helps ensure that an organization’s policies and reference materials remain accurate, aligned, and internally consistent.
What AI Document Analysis Detects
AI Document Analysis focuses on two main types of inconsistencies:
Internal inconsistencies Conflicts or contradictions within a single document.
Cross-document inconsistencies Conflicts between a document and other public documents in the knowledge base.
This dual analysis helps surface issues that may otherwise go unnoticed when documents are reviewed in isolation.
Scope of Analysis
If a document is associated with a project (workspace):
- Only public documents assigned to the same project are included in the analysis
- This ensures that analysis results remain relevant and context-specific
If no project is specified, analysis may consider all applicable public knowledge base documents.
Why AI Document Analysis Matters
AI Document Analysis enables teams to:
- Quickly identify conflicting policies or statements
- Maintain consistency across large document sets
- Reduce manual review effort
- Improve the reliability of knowledge base content used in AI-driven workflows