Cognitive Automation at Scale
Document Intelligence
Transform unstructured documents into structured, actionable data using AI-powered extraction, classification, and language translation pipelines.
Discuss This ServiceKey Metrics
90%
Manual data entry reduction
1,200 docs/hr
Document processing speed
99.2%
Extraction accuracy (post-validation)
Instant
Compliance audit readiness
The Challenge
Enterprises process thousands of contracts, invoices, delivery notes, and compliance documents manually. Each document carries valuable structured data — pricing, terms, dates, entities — that is locked away, costing tens of thousands of hours per year in manual data entry.
Our Solution
We deploy end-to-end document intelligence pipelines that automatically classify, extract, validate, and route document data into your ERP and workflow systems. Our pipelines run on-premise, keeping sensitive contracts and financial data within your jurisdiction.
Technical Implementation
- Document type classification and routing pipeline
- AI-powered OCR with layout-aware extraction (tables, signatures, stamps)
- Named entity recognition for contracts, invoices, and compliance docs
- Automated language translation (DE ↔ EN and 30+ languages) with domain-aware terminology
- Validation rules engine against ERP master data
- Human-in-the-loop review interface for low-confidence extractions
- Audit trail and retention management
Frequently Asked Questions
What types of documents can your AI process?
Our pipelines handle invoices, purchase orders, delivery notes, contracts, NDAs, compliance certificates, tax documents, and free-form correspondence in German, English, and mixed-language formats. We train domain-specific extraction models on your document corpus.
How accurate is AI document extraction compared to manual entry?
After a supervised training phase on your specific document types, our pipelines achieve 97–99.5% field-level extraction accuracy. A human-in-the-loop review step handles the low-confidence tail, maintaining near-zero error rates in downstream systems.
Can the system translate documents automatically?
Yes. We integrate neural machine translation (NMT) directly into the processing pipeline. Documents can be translated between German, English, and 30+ languages with domain-aware terminology — e.g., legal, financial, or technical glossaries specific to your industry. Translation happens on-premise or in your private cloud, so no document content is sent to external services.
Is the document processing GDPR-compliant?
Yes. All processing occurs on-premise or within your private cloud. No document content is sent to external AI APIs. We implement data minimisation, purpose limitation, and automated retention/deletion policies as required by GDPR Art. 5.