Document Intelligence for the Enterprise Setting
The BECONEX AI Suite powers document understanding — OCR, splitting, classification, and extraction — that adapts to your infrastructure.
Our enterprise document intelligence solution runs each processing step within your own network, so that sensitive data stays under your control.
Data Sovereignty as an Architectural Principle: Your data. Your control.
Enterprise document intelligence means staying in control of your data instead of sending sensitive information to external platforms.
We design Enterprise AI processes around your protection requirements, infrastructure, and operating model: reliable rules, artificial intelligence, and human review — each doing what they’re best at.
Local-first document intelligence — data stays in-house
OCR, splitting, classification, and extraction can run entirely within your own network. Cloud models connect only where they deliver true business value, deliberately and under control.
End-to-end traceability built in from the start
Decisions, transfers, and manual reviews are logged to maintain visibility throughout the process. Uncertain results are routed specifically to a human reviewer for quality assessment.
Designed around EU-GDPR requirements
Data minimization and purpose limitation. Roles and authorization concepts for better access control. These critical system boundaries are transparently defined as part of the architecture.
A solution is not “GDPR-compliant” merely because of individual functions. The specific use, operating model, and documented procedure determine that — not a feature list.
The Enterprise Document Intelligence Process
01. Capture
The documents that initiate the process can come from diverse devices and sources, including scanners, MFPs, folders, email inboxes, etc.
02. Understand
OCR, document splitting, classification, and extraction turn unstructured input into usable information.
- Split: automatically split multi-page batches and combined files into logically related documents.
- Classify: recognize document types and context, and assign them to the right business process.
- Extract: capture the required content in a structured format, validated against a schema.
03. Validate
Schemas, confidence scores, and quality rules route only uncertain cases to targeted human review:
- Efficiency: No need to go through every document, just the ones that actually need it.
- Control: The configurable review process serves as quality gate to protect downstream workflows.
- Modularity: Once approved, documents continue to AI-driven or traditional processing steps.
04. Route
DMS, ERP, and other systems receive the documents and extracted structured data. This enables automated storing, for example, in SAP.
Where Document AI provides immediate relief
Historical document collections
Make large archives searchable through OCR, split them into logical documents, classify and structure them for research or migration.
Incoming documents and business processes
Automatically recognize incoming documents, extract the relevant data, and route it to the responsible process.
HR and contract documents
Capture heterogeneous document types in an orderly way, and process sensitive content under controlled operating conditions.
SAP-related document flows
Connect documents and structured metadata to business objects and the downstream processes that depend on them.
Frequently asked Questions
Can the AI Suite run entirely on-premises?
Yes. OCR, document splitting, classification, and extraction can run entirely within the customer network. External cloud models are a deliberate option, not a requirement.
Does sensitive data remain within the company?
With a local operating model, documents, training data, and results remain within the customer’s controlled infrastructure. Permissions, logging, and deletion paths are designed for the specific use case.
Does BECONEX support EU-GDPR-oriented processes?
BECONEX supports data minimization and purpose limitation, as well as access control mechanisms. Formal conformity depends on the specific overall system and data handling procedure.