DMAISCAN – AI Automated Document Receipt System

Automated Document Receipt, Validation, and Data Enrichment System for enterprise companies

The Automated Document Receipt, Validation, and Data Enrichment System is a solution designed for enterprise environments that supports the end-to-end, automated processing of incoming documents, complete with intelligent verification, reconciliation, and data enrichment features.

The solution can be used specifically as part of daily operational financial operations, with continuous processing. Its goal is to ensure that documents are forwarded as quickly as possible, in a controlled and commercially interpreted form, to the storage, financial, accounting and approval processes.

Highlights

• Uniform, automated receipt of paper and electronic documents from multiple entry channels.
• Manage documents with mixed content, separating invoices and related attachments.
• Automatically extract header and batch data using artificial intelligence.
• Automatic formal and content validation to ensure the quality of the information that can be read from the document.
• Automatic reconciliation and data pairing with external systems.
• Verification of supplier, contract, order and fulfillment data.
• Data enrichment based on internal and external master data.
• Automatic reporting of discrepancies, deficiencies and inconsistencies.
• Exception-based processing: only problematic invoices require manual intervention.
• Operational transmission of invoice images and structured data to financial processing processes.

Business benefits

• Faster, continuous document processing to support daily operational operations.
• Significant reduction of manual data entry and reconciliation tasks.
• Early detection of erroneous or incomplete documents.
• Higher data quality for accounting, reporting, and controlling.
• Improved transparency in processes and exception handling.
• More efficient use of resources in financial and other areas.

Working principle

The system continuously receives incoming documents through paper and electronic channels, and then automatically identifies the documents and related attachments. The extracted data is automatically validated and matched with data from internal and external systems, as a result of which the system is able to filter out discrepancies, missing information and potential errors. Agents only handle exceptional cases in a central interface, while documents of the appropriate quality are automatically forwarded to predetermined next steps.

Technology

The solution is built on an enterprise architecture that supports high availability, scalability, and secure integration with financial and other enterprise systems. The system uses AI-based document recognition, data extraction, validation, and data enrichment capabilities to process documents efficiently, reliably, and scalably.