AI & Document Automation
Leverage artificial intelligence to automatically classify, extract, and process documents, reducing manual effort and achieving over 90% processing accuracy.
Intelligent Document Processing at Scale
AI document automation is the use of OCR, natural language processing, and machine learning models to classify business documents, extract structured data, and route the results into downstream ECM and ERP systems without manual data entry. eelik d.o.o. builds these processing pipelines for clients in the DACH region and Southeast Europe, integrating directly with the customer's DMS and ERP and typically reaching over 90% straight-through processing on structured documents like invoices — with lower, tunable accuracy on free-form contracts depending on layout variety and scan quality. Documents that fall outside the confidence threshold are routed to a built-in human review queue, and each correction feeds back into the model.
How It Works
Our AI document automation solutions combine optical character recognition (OCR), natural language processing (NLP), and machine learning models to create end-to-end processing pipelines. Documents enter the system via email, scan, or upload. The AI engine identifies the document type, extracts relevant fields, validates the data against business rules, and routes the result into your ECM or ERP system.
We build these solutions on top of your DMS platform, integrating AI capabilities directly into your existing content management workflows. We use proven enterprise IDP and OCR models — tuning them for your document types, master data and workflow rather than training proprietary models from scratch — and feed every human correction in the exception queue back as labelled data so accuracy improves over time.
Practical Applications
Common use cases include invoice processing, contract data extraction, mail room automation, and compliance document review. Each solution is tailored to your document landscape and business rules.
The result is a dramatic reduction in manual data entry, faster processing times, fewer errors, and the ability to scale document handling without proportionally scaling headcount. Our team handles everything from initial feasibility analysis through configuration, integration, and ongoing optimization.
Benefits
Frequently asked questions
What accuracy can we expect from AI document extraction?
For structured documents like invoices and forms we typically reach over 90% straight-through processing in mature setups. Free-form contracts run lower and need more tuning, depending on layout variety and document quality. The remaining cases are routed to a human reviewer through a built-in exception workflow.
What happens to documents the AI cannot classify?
They are routed to a dedicated review queue where a human operator confirms or corrects the result. Each correction refines the extraction rules and tuning parameters, so processing accuracy improves over time.
Is our document data used to train external AI models?
No. We run inference on dedicated infrastructure or use enterprise APIs with no-training contractual terms. Your data is never used to train third-party models.
Which document types are best suited for automation?
High-volume, semi-structured documents like invoices, delivery notes, contracts, purchase orders, and forms see the fastest ROI. Free-form correspondence is also possible but typically requires more tuning.
Technologies
Related reading
Blog
How AI invoice automation saves 60% of processing time
AI invoice automation combines OCR, NLP and classification to cut AP processing time by around 60% with 2–6 month ROI — what works, where projects fail.
7 min read
Blog
AI Document Automation - The Future of Business Processes
How artificial intelligence is transforming document processing through OCR, classification, and data extraction - practical examples and possibilities.
6 min read
Reviewed by
Kenan Trgic
Founder & CEO
AI & Document Automation
Leverage artificial intelligence to automatically classify, extract, and process documents, reducing manual effort and achieving over 90% processing accuracy.
All services