Aachener Grundvermögen masters property tax reform with AI from EVANA
The Aachener Grundvermögen Group managed 800 physical land registers – exclusively in paper form, without a digital counterpart. As the deadline for the legally required property tax return approached, the company faced an enormous challenge: hundreds of documents had to be reviewed, relevant data extracted, and prepared in a standardized format. Together with EVANA, an AI-powered solution was developed that fully automated this process – and ensured the deadline was met without any stress.
problem
800 physical land registers without a digital format had to be analyzed and structured in a timely manner for the property tax return.
Solution
EVANA developed an AI-supported solution for the automated capture, structuring and processing of all relevant land registry data in the customer-specific target format.
Result
Complete analysis and plausibility check in just 48 hours – deadline met, manual effort eliminated, data directly processable.
From 800 paper documents to a structured database
Physical land registers contain a wealth of property-related information – ownership details, encumbrances, restrictions, and valuation-relevant key figures. However, this data is difficult to analyze efficiently in analog form. This is precisely where the jointly developed solution from EVANA and Aachener Grundvermögen comes in: documents are automatically analyzed after upload, relevant content is systematically captured, and provided in the desired target format. In this way, a stack of papers is transformed into an immediately usable, structured database.
Automated collection of property tax-relevant data
EVANA AI analyzes scanned land registers fully automatically and extracts all tax-relevant information precisely and completely. Both text content and tabular structures are reliably recognized and processed.
The data obtained is then directly available for tax returns, audits and other processes.

Deadline met – without night shifts
The property tax reform put real estate companies under considerable time pressure. For Aachener Grundvermögen, this meant evaluating 800 land registers in a very short time, structuring the data, and submitting it on time. With EVANA's AI solution, the complete analysis, including plausibility checks, was completed in just 48 hours. No manual searching, no error-prone data entry – the data was structured and ready before the deadline.

Data in customer-specific format – ready for immediate use
The extracted information was not only structured, but also prepared precisely in the required target format. This eliminated any further manual post-processing: The data could be directly transferred to downstream systems and processes.
The result: maximum efficiency with a minimal error rate.
Efficiency that pays off – even under time pressure
Especially when regulatory deadlines are tight, every day counts. EVANA's AI solution enables the complete and error-free evaluation of even large volumes of documents in a short amount of time. What previously required weeks of manual work can now be accomplished in hours with EVANA – reliably, transparently, and ready for immediate further processing.
More than just land registers
The developed solution is based on the proven EVANA infrastructure and can be flexibly extended to include other document types and regulatory requirements. New document types can be quickly integrated, additional data fields defined, and existing processes expanded. This allows for the automated analysis not only of land registers, but also of leases, ESG documents, technical documentation, and due diligence reports.
This provides companies with a scalable solution for the automated processing of large volumes of documents – and creates a structured data basis for analyses, processes and decisions, regardless of the type of document.
About EVANA
EVANA develops AI-powered solutions for analyzing large volumes of documents. Based on its own infrastructure, unstructured content is automatically recognized, extracted, and presented in a structured format. This gives companies faster access to relevant information and creates a reliable data foundation for analyses, processes, and decisions.