Document AI & Automation
From documents to structured data, automatically
At a glance: invoices, contracts, forms, reports — document work is where companies lose the most hours. We build extraction and processing pipelines that turn your documents into structured, validated data and trigger the downstream actions automatically.
What we deliver
- Extraction pipelines — OCR plus LLM parsing that pull structured fields from PDFs, scans, emails and images, handling layout variation far beyond template-based OCR.
- Validation & review queues — confidence scoring, exception handling and human review only where the model is unsure.
- Downstream automation — extracted data flows into your ERP, accounting or CRM and triggers the next steps (booking, filing, notifications) automatically.
- Document generation — the reverse flow: reports, quotes and filings generated from your data, formatted and ready to send.
What changes
Hours back every day
Invoice processing is one of the highest-ROI automations in accounting and finance — we documented the full playbook in our guide.
Beyond template OCR
LLM-based extraction handles unseen layouts, merged fields and messy scans that break template systems.
Validated, not blind
Confidence scoring routes uncertain extractions to human review — you keep control, the machine does the volume.
End-to-end
From inbox to ERP: extraction, validation, booking and filing in one monitored pipeline.
How we work
Discover
We audit your document flows: volumes, formats, current tools, error costs.
Design
We design the extraction schema, validation rules and downstream actions.
Deploy
We build the pipeline, run it in shadow mode against your real documents, then go live.
Enable
We train your team on the review queue and monitoring dashboards.
Common use cases
Invoice & expense processing
Extraction, three-way matching and booking into your accounting stack.
Contract intelligence
Parties, dates, amounts and obligations extracted and tracked across your contract base.
Form & application intake
Applications, claims and forms structured and routed automatically.
Report generation
Periodic reports assembled from your data and shipped as formatted documents.
Pricing
Document automation projects typically run €1,500–€10,000 depending on volume and integrations — confirmed by a scoped quote.
See our step-by-step guide on how to automate invoice processing with AI.
Frequently Asked Questions
We already use OCR tools. What does AI change?
Template OCR breaks on every unseen layout. LLM-based extraction reads documents the way a person does — handling new suppliers' formats, merged fields and poor scans — and outputs validated, structured data rather than raw text. Teams usually keep their OCR for high-volume, fixed-layout documents and add AI extraction for the long tail.
What accuracy can we expect?
Honest answer: it depends on your documents, which is why we benchmark on your real files before committing. The pipeline is designed around confidence thresholds: high-confidence extractions flow through automatically, uncertain ones go to a human review queue. Accuracy improves as the review data accumulates.
Does the data leave our systems?
Your choice. Processing can run on EU-hosted APIs under a data-processing agreement, or fully on your own infrastructure with open-weight models — see our open-source AI deployment service. Either way, we document where data goes and why.
Can it push into our ERP or accounting tool?
Yes — that is the point. Extraction alone saves typing; the ROI comes from the full path: extraction, validation, booking, filing and notifications, orchestrated through your existing tools.