Smart document ingestion with human-in-the-loop review for regulated industries. Built for dental chains, insurance brokers, accounting firms, and legal practices.
3-day AI Audit · €900 · Private LLM option available · EU data residency
A dental chain processing 200 patient intake forms per day assigns 1.5 FTE to data entry. An insurance broker receives 80 claim documents before noon. An accounting firm manually keys invoice data from 300 PDFs per week. In each case, the same constraint: a person reads a document, types what it says, and moves on. The error rate follows.
Regulated industries cannot cut corners on accuracy. A misread diagnosis code, a transposed policy number, an incorrect VAT entry — each carries real liability. So companies add checkers. Checkers who check the checkers. The headcount grows. The throughput does not.
The alternative is not replacing your compliance team. It is giving them 20 documents to review instead of 200. The AI handles extraction. The human handles exceptions. The audit trail covers both.
Documents arrive by email, upload, or API. The ingestion pipeline classifies the document type, extracts structured fields at 95%+ accuracy, and routes low-confidence extractions to a human reviewer before the data touches your system.
Reviewers see the original document alongside the extracted fields. One click to confirm, one click to correct. Every decision is logged. Correction patterns feed back into the model over time, raising accuracy without retraining from scratch.
For regulated data, we deploy the model on your infrastructure or our EU-only Hetzner servers. No document leaves the jurisdiction you specify. GDPR-compliant by design, not by policy.
Stack: Claude or Mistral for extraction, depending on your data classification requirements. EU hosting on Hetzner (DE/FI). Full audit trail exportable as CSV or JSON. No US data transfers.
We catalog your document types, extraction fields, accuracy requirements, and compliance constraints. We define what the AI handles and what always goes to human review.
The extraction pipeline is built and tested on 200 real documents from your archive. Accuracy is measured against your ground truth. We set the confidence threshold that triggers human review.
The review interface goes live for your compliance team. We connect the pipeline output to your existing system — ERP, practice management software, or custom database. Your team runs a full week on real documents.
Your team runs independently. We monitor accuracy, handle edge cases, and deliver documented runbooks. Thirty days of async support included. The code and the model weights belong to you.
Exact scope set by your AI Audit. The audit identifies document types, volume, and integration requirements before you commit to setup cost.
Leading Slovenian medical clinic (anonymized — permission pending)
A Slovenian medical clinic group with 4 locations was processing patient intake forms, referral letters, and insurance pre-authorizations manually. Volume: 200 documents per day across all locations. Two full-time staff handled intake data entry. A third reviewed their work for compliance with health insurance coding requirements.
We built a document ingestion pipeline that classifies incoming documents, extracts patient identifiers, diagnosis codes, treatment codes, and insurance data. The system routes all low-confidence extractions and any document type it has not seen before to a human reviewer. The full audit trail exports to their existing practice management system.
Result: the same 200 documents per day now process in 25 minutes. The two data entry staff were reassigned to patient coordination. The compliance reviewer now handles 8-12 exceptions per day instead of 200 documents. Accuracy on confirmed fields: 97.3%. The system has been running for 7 months without a compliance incident.
Private deployment adds €2.000 - €4.000 to the setup cost for model hosting configuration. It eliminates ongoing API costs entirely. For high-volume regulated environments it typically pays back within 6 months.
We set the threshold during the discovery week based on your compliance requirements. Typically 92-95% confidence. Everything below that threshold goes to human review before touching your system. You control this number.
The HITL reviewer catches it before it enters your system. The correction is logged, attributed to the specific document and field, and feeds back into the model's training data. Wrong extractions improve the model. They do not reach your records.
EU hosting only. No US data transfers. Data processing agreements provided as standard. For health data (GDPR special category), we default to private LLM or EU-jurisdiction model providers. You retain full data controller status.
Yes. The pipeline is multi-tenant by design. Each location has its own document queue and reviewer interface. Pricing scales per location with group discount at 3+ locations.
Hetzner infrastructure in Germany and Finland. No US data transfers. For stricter requirements, private LLM deployment on your own servers or a dedicated Hetzner instance in your jurisdiction.
Yes. Full audit trail exports as CSV or JSON: document received, fields extracted, confidence scores, reviewer decisions, timestamps, user IDs. Compatible with most compliance reporting requirements.
Yes. The €900 AI Audit runs the extraction pipeline on 50 real documents from your archive and delivers an accuracy report and scoped recommendation. You see the extraction quality before committing to setup.
Fixed price. EU hosting. Code you own. Compliance built in.