AI software for billing and administration in healthcare
We build our own products for private medical billing and deliver custom AI projects for hospitals and healthcare companies. From infrastructure to day-to-day operations.
Our Products
Software we build, run and keep improving ourselves.
From treatment document to paid invoice
GOÄ direkt reads treatment documentation and drafts GOÄ-compliant invoices with codes, factors and justifications. When something is unclear, the AI asks a targeted question instead of guessing. It also checks existing invoices for missed services and weak justifications. Delivery, payment matching and dunning then run automatically.
- AI invoice drafting from treatment documents
- AI optimisation of existing invoices
- Targeted questions instead of guessing, approval stays with the practice
- Delivery, payment matching and dunning run automatically
to a finished AI invoice
less time on delivery
practices and MVZs
„A very positive experience with GOÄ direkt. The switch went absolutely smoothly, billing works reliably and support for questions was always fast and professional. Plus a more attractive rate. A clear recommendation.“
GOÄ billing at hospital scale
GOÄ direkt Klinik brings the billing expertise of the practice platform to hospitals: generate private invoices from hospital information system case data, check codes, factors and justifications before an invoice leaves the building, and pre-qualify insurer queries automatically.
klinik.goae-direkt.de- Invoice generation from HIS case data
- Invoice optimisation before delivery
- Query management with suggested replies
- Runs on-premise or in the EU cloud
Custom AI Projects
For hospitals and healthcare companies we build AI systems to measure, integrated into existing IT and run where the data lives.
Form automation inside the hospital
Würzburg University Hospital
A local language model inside the hospital pre-fills rehabilitation applications and other administrative forms from existing patient data. Connected to the hospital information system, no patient data leaves the building. Staff review and approve.
AI review of QM documentation
ARCHIMEDlife and ARCHIMEDline, Vienna
IVDR certification of diagnostic test kits requires quality documentation that is consistent across hundreds of procedures, forms and records. The AI reads the entire document set, finds inconsistencies between documents and versions and proposes corrections, traceably and with a reference to the source.
AI assistant in Microsoft 365
Client unnamed at their request
An assistant that works directly inside the client's Microsoft 365 tenant: it reads email, calendar and SharePoint documents, answers questions about contracts and correspondence and drafts documents in the house style. No document leaves the tenant.
AI method for a patent application
Healthcare company in stealth, unnamed
For a healthcare company that is not yet public, we worked on an AI-based patent application: from the technical design of the method to drafting it with the patent attorneys. The application has been filed.
How we work on projects
A structured path from the first conversation to AI in day-to-day operations. One team for infrastructure, software, integration and compliance.
We map your workflows, identify high-impact opportunities, and build a concrete implementation roadmap.
- Process and workflow analysis
- Opportunity prioritization and roadmap
- Technical feasibility evaluation
- Compliance and data assessment
Handling sensitive data
Health data is the norm in our projects. Depending on the use case, we run AI systems on the customer's premises or in the European cloud.
On-premise
Where data must not leave the building, the language model runs on the customer's own hardware inside their network. No external AI provider is involved.
European cloud
Where scale and model quality come first, we process data in European data centres. Use of the data for model training is contractually excluded, and a data processing agreement under Art. 28 GDPR is part of every contract.
Legal expertise on the team
GDPR, medical device law and the EU AI Act are not outsourced. A lawyer with this expertise is part of the management.
Our Team
Expertise in Technology and Law

Laurin Wischounig
After his computer science studies, Laurin gained several years of experience as a Full-Stack Developer and now oversees all technical development.

Mattias Köck
As an experienced lawyer, Mattias brings deep expertise in GDPR and medical device law, essential for secure practice software.

Tim Deiters
Tim studied Business Informatics and combines technical know-how with business understanding for practical AI solutions.

Franz Harnoncourt
Franz Harnoncourt was CEO of the Oberösterreichische Gesundheitsholding until early 2026 and advises us on hospital management.
Let's talk about your next step
Tell us about your practice, MVZ or hospital and where you see potential for AI. We assess the options and outline a concrete way forward.