Document Processing
Invoices, contracts, delivery notes, forms – your team spends hours manually capturing and checking documents.
Document Processing Automated by AI
AI-powered document processing takes over exactly this work: content is automatically extracted, classified, validated, and transferred to your systems. Faster, more accurate, and scalable.
The essentials of Document Processing
- Our AI-powered document processing automatically extracts, classifies, validates and transfers content from invoices, contracts, delivery notes and forms into your systems.
- Success is decided by handling the doubtful case: confidence scores escalate uncertain cases – unfamiliar layouts, bad scans, handwritten notes – selectively to human review.
- Extracted values are checked for plausibility – totals, dates, existing supplier numbers – so automation improves data quality instead of merely shifting typos.
- Validated data flows into ERP, accounting or the DMS without a media break, including the existing approval and exception workflows.
- The system reckons with the variety of different supplier documents, adapts to new formats and improves over time based on the documents that actually come in.
Paper Becomes Data
Whether scanned PDFs, email attachments, or digital forms – we build systems that reliably recognize document content, extract relevant fields, and convert them into structured data. Invoice numbers, amounts, addresses, contract data – everything lands automatically where it's needed.
Validation and Error Handling
Automation that blindly transfers data is dangerous. We build validation logic in: plausibility checks, cross-referencing against master data, confidence scores, and targeted human review when uncertainty arises. High processing speed without sacrificing quality.
Seamless System Integration
Extracted data is transferred directly to your ERP, accounting system, or document management system. No manual copying, no media breaks. We integrate the document pipeline into your existing system landscape – including approval workflows and escalation logic for exceptions.
Learning and Improving
With increasing use, the system learns from corrections and feedback. Documents that initially require manual review become more reliably processed over time. We set up feedback loops that systematically support this learning process.
How a document becomes a clean data entry
AI-powered document processing follows a defined pipeline – from scan to handoff into the target system. Each phase carries a clear responsibility; only together do they form a reliable, scalable setup.
Intake & Normalisation
Documents arrive by email, upload, or scanner – the system standardises formats and resolutions before analysis begins.
Extraction & Classification
AI identifies the document type (invoice, contract, delivery note) and reads relevant fields automatically – regardless of layout.
Confidence Scoring
Every extracted value receives a confidence score. Fields below the threshold are routed for targeted human review.
Validation & Plausibility Check
Totals are verified, dates checked, supplier numbers matched – only then is a record considered ready for release.
System Integration & Workflow
Validated data flows directly into ERP, accounting, or DMS – including approval and exception workflows.
Manual Review Loop
Uncertain fields are routed to the responsible team member for correction and feed back into the model for future cases.
Uncertain cases leave the main flow and return after human review, feeding model improvement.
What actually determines success in document processing
Extraction is the baseline – but not the bottleneck. These four factors decide whether a solution holds up in day-to-day operations or falls short.
- Robust Exception HandlingUnusual layouts, poor scans, handwritten additions
- Built-In Validation LogicPlausibility checks prevent errors from scaling automatically
- Seamless System IntegrationInto ERP/DMS without media breaks – otherwise friction remains
- Adaptability & Model LearningA new supplier layout today becomes tomorrow's standard case
- Raw Extraction AccuracyMost systems handle clean standard documents – not a differentiator
Relative Weighting
Relative weighting – not performance metrics.
What matters for Document Processing
In document processing it is not extraction that decides success but the handling of the doubtful case. Reading fields from clean standard invoices is something almost any system can do today; the difference shows on the unfamiliar layout, the bad scan, the handwritten note. Confidence scores that deliberately escalate uncertain cases to human review are therefore the heart of a robust setup.
Validation matters more than mere recognition. An extracted number only becomes usable once it is checked for plausibility: totals that add up, dates within the expected range, supplier numbers that exist. Without this check, automation merely moves typos from the hand into the machine instead of actually improving data quality.
The value comes from the seamless handover into downstream systems. Extracted and validated data belongs in ERP, accounting or the DMS without a media break, including the approval and exception workflows that already exist. A solution that delivers a clean result which someone then enters by hand has not removed the actual friction.
A document pipeline has to reckon with variety, not the ideal case. Every supplier designs its documents differently, and exactly this variability makes rigid, rule-based solutions fail. A good setup adapts to new formats, handles exceptions cleanly and improves over time based on the documents that actually come in.
Automatic Extraction
Relevant fields from invoices, contracts, and forms are automatically recognized and extracted – no manual data entry, no media break.
Built-In Validation
Plausibility checks and confidence scores ensure quality. When uncertain, the system escalates selectively for human review.
System-Integrated
Extracted data flows directly into ERP, accounting, or DMS – including approval workflows and exception handling.
Documents that process themselves
With us you don't get theoretical AI consulting, you get a partner who delivers. We combine strategic thinking with technical execution power – from the first process analysis to the productive AI system. Together we find the levers where AI has the biggest impact and implement solutions that pay off. Your processes and goals are always at the center.
Comprehensive know-how in AI strategy and implementation
Experience with leading AI platforms: OpenAI, Claude, ElevenLabs, CloudBot
Over 10 years of experience in software development and system integration
Interdisciplinary team of developers, strategists and UX experts
Sustainable AI solutions that strengthen your company long-term
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Frequently asked questions