AI Bulk Document Processing

Mass, post-processing and data extraction to enrich data in enterprise archives

The bulk document processing and data extraction solution for enterprise use. It enables the automated processing, structuring and business exploitation of large quantities of existing documents.  The solution is primarily optimized for the processing of historical, archival or one-off large-scale document files, such as migration projects, archive processing or data asset exploration initiatives.

Highlights

1. Batch, automated processing of large volumes of documents.
2. Automatically detect document boundaries and document types.
3. Manage mixed document packages.
4. Uniform processing of structured and unstructured documents.
5. Data extraction, validation, and data enrichment for a large document.
6. Reconciliation with external systems and data pairing.
7. Automatically create metadata and load it into document libraries.
8. Exception-based processing at high volumes.
9. Uniform processing of archives from multiple sources.

Business benefits

1. To make historical and archival documents commercially usable.
2. Reduce the time and cost of migration and archiving projects.
3. Trigger high-volume manual processing.
4. Creation of structured, searchable document assets.
5. Exploration of data assets for reporting and decision support purposes.
6. Uniform data interpretation for large volumes of documents.

Working principle

Document sets from document libraries, archives, or specified sources are processed in batches. The solution automatically classifies documents, detects document boundaries, and then performs the necessary data extraction, validation, and reconciliation. Processing is carried out on a campaign basis or periodically, not as part of daily operational processes, but for the structuring and reuse of archive and historical data files for business purposes, supporting the elimination of the backlog and the efficient implementation of migration projects.

Technology

The solution is built on an enterprise architecture that supports high-volume, batch-based processing, scalability, and flexible integration with document libraries and business systems. Processing based on artificial intelligence ensures the efficient, uniform and commercially viable processing of large volumes of documents, enabling the structured utilization of archive files for business purposes.