A significant portion of important audit evidence lives in unstructured formats: PDFs, image scans, emails, and older system exports. Manually reviewing and extracting key data from these formats is both tedious and risk-laden.

The Context-Aware Data Extractor ingests unstructured documents and intelligently identifies and extracts critical financial data — invoice amounts, dates, payment terms, contract clauses, and more. It applies advanced language models and layout-aware document parsing to structure this data with precision, making it immediately usable for reconciliation and audit support.

This agent turns a traditionally laborious, error-prone task into an automated, consistent process — allowing downstream agents to work from structured, reliable data.