Document extraction
In many property management operations, inbound documents remain static archives: maintenance invoices, insurance policies, utility statements, and owner meeting protocols are scanned, stored as raw PDFs, and rarely parsed into actionable data.
On etg24, document workflows are fully automated. A document processing agent ingests batches of incoming files — with the platform comfortably handling high-volume uploads. Our integrated document intelligence analyzes the files, extracting critical metadata: invoice amounts, due dates, IBANs, contracting parties, and unit references. Extracted values are saved directly into the database as structured entities — updating contract fields, creating vendor contacts, and filing documents into the digital archive.
Extraction is transparent and under your complete control:
- Every action is executed by a scoped, attributable agent.
- Every extracted record is stored securely in your tenant.
- Erroneous extractions can be rolled back safely thanks to Soft delete & rollback.
Architectural building blocks
- High-throughput document upload: Programmatic file ingestion via REST and MCP.
- Document intelligence: Automatic OCR processing, structured entity extraction, and embedding indexing.
- Command tools: Automatically file extracted documents into verified target categories and attach notes.
- Comprehensive audit trail: Complete visibility into which agent extracted each document and what fields were populated.
Suggested rollout strategy
We recommend starting with a single document classification — such as incoming utility or maintenance invoices. Once extraction rules and validation thresholds are fine-tuned, expand the pipeline to insurance policies, lease agreements, and meeting protocols.