AI Agents & Document Processing

AI-powered extraction of structured data from unstructured documents — invoices, delivery notes, contracts, forms and PDFs — using OCR combined with large language models that understand context, not just fixed field positions. Handles layout variation, handwriting and multi-page documents.

• OCR + LLM extraction from PDFs, scans and images
• Handles layout-variable documents (no fixed template required)
• Field-level confidence scoring and human review flagging
• Extraction from tables, line items and nested structures
• Support for German and multi-language documents
• Integration with ERP, CRM and accounting systems
• Audit trail for every extracted value and its source
• Continuous improvement via correction feedback loop

Classifying incoming documents, emails, support tickets, leads and records automatically using AI — routing each to the correct team, system or workflow based on content, intent and urgency. Eliminates manual triage and ensures nothing is misrouted or delayed.

• Document type classification (invoice, contract, complaint, enquiry)
• Intent classification for incoming emails and messages
• Priority and urgency scoring
• Multi-label classification for complex items
• Language detection and localisation routing
• Custom taxonomy and category training per client
• Confidence thresholds with human escalation below threshold
• Real-time classification with webhook output

End-to-end automated invoice and contract processing — from receipt through extraction, validation, three-way matching and ERP posting to payment approval. Reduces invoice processing time from days to minutes and eliminates duplicate payments, missed discounts and manual data entry errors.

• Invoice data extraction: supplier, amount, VAT, line items, due date
• Three-way matching against purchase orders and goods receipts
• Duplicate invoice detection before posting
• Approval workflow routing by amount, supplier or cost centre
• ERP integration (SAP, DATEV, custom systems)
• Contract clause extraction and obligation tracking
• Renewal date and expiry alerting from contract data
• GDPR-compliant document storage and retention

AI systems that analyse data, documents and context to surface recommendations, risk flags and next-best-action suggestions — keeping humans in control of decisions while reducing the time and cognitive load required to make them. Built for loan assessment, compliance review, credit checks and operational triage.

• Risk scoring and anomaly flagging on incoming cases
• Summary generation for long documents before human review
• Recommendation engine with confidence and evidence display
• Explainability: why the AI flagged or recommended what it did
• Custom decision rules combined with AI scoring
• Human override logging for audit and model improvement
• Integration with existing case management systems
• Bias monitoring and fairness reporting for regulated industries

Making sense of free-text data — emails, survey responses, reviews, support tickets, meeting notes and chat logs — by extracting entities, sentiments, topics and action items at scale. Turns raw text into structured records that can be analysed, routed and acted upon.

• Named entity recognition (people, companies, products, dates)
• Sentiment analysis and escalation scoring
• Topic modelling and category extraction
• Action item and deadline extraction from emails and notes
• Multi-language support including German
• Batch processing of historical data archives
• Real-time streaming for incoming data sources
• Structured output to database, CRM or workflow systems

Integrating large language models (Claude, GPT-4, Mistral, open-source models) into business software — with proper context management, prompt engineering, retrieval-augmented generation (RAG) and guardrails for enterprise use. Builds on your private data and complies with EU data residency requirements.

• LLM API integration (Anthropic, OpenAI, Azure OpenAI, local models)
• Retrieval-augmented generation (RAG) over private documents
• Vector database setup (pgvector, Pinecone, Weaviate)
• Prompt engineering and system instruction design
• Context window management for long-document use cases
• Output validation and safety guardrails
• EU data residency configuration (no data leaves EU)
• Fine-tuning and model evaluation for domain-specific use cases