Recognise. Understand. Categorise – faScan automates your document processes
Artificial neural networks for fast, error-free and efficient property financing processes.
faScan is the document processing software that fully automates documents of all formats and sources: recognise, classify, categorise, hand over.
No manual pre-sorting. No media disruptions. No detours.
What faScan delivers – and how it works
Before a loan is approved, dozens of documents must be reviewed, sorted, categorised and checked. On average, this takes qualified case workers 30 to 60 minutes per case – for every single application.
faScan handles exactly this part. Fully automated, around the clock, and with a precision that structurally outperforms manual work. The platform combines state-of-the-art AI with a well-thought-out user interface and gives case workers control exactly where it is needed.
Increased efficiency in the lending process
faScan significantly reduces the processing effort per case. Activities that previously took 30–60 minutes now run automatically in the background.
More quality & fewer errors
Standardised, AI-supported processes reduce the error rate and measurably increase document quality.
Relief for your employees
Case workers focus on professional decisions instead of time-consuming document sorting.
Scalable & future-proof
faScan uses scalable machine learning approaches as well as modern AI and is continuously evolved in line with changing requirements.
faScan is more than document recognition
Classification is the entry point. Data extraction is the gamechanger.
With the new extraction feature, faScan closes the gap between the incoming document and the populated data set. Recognised values from salary statements, land register extracts or energy performance certificates flow directly into the target system – laying the foundation for further, true end-to-end automation of the lending process:
- Validation of loan application details against recognised document data
- Automation of follow-on workflows, e.g. household budget calculation
- Targeted routing of processing instructions via an AI assistant
faScan takes the lending process further – not just faster, but fundamentally more intelligent.
Areas of application – far beyond property financing
faScan has proven its practical capability in complex property financing. The same technology works wherever documents need to be processed at scale.
Proven areas of application:
- Property financing and mortgage lending
- Consumer and instalment loan processes
- Debt management
- Central inbox of banks and insurers
- Document-intensive processes beyond traditional lending
Thanks to its stand-alone architecture and REST interface, faScan can be integrated as a central document hub into any existing system landscape – also compatible with ERP and DMS solutions, such as Infor Document Management and SAP.
Fast. Flexible. Without dependencies.
Who is faScan made for?
faScan is aimed at everyone who no longer sees document volume as a cost factor but as automation potential – and even more so at those who view AI not just as an efficiency driver but as a value creator.
The solution is a fit for:
- Savings banks, cooperative banks and regional banks
- Universal banks with high loan application volumes
- Credit brokers
- Insurers and other financial service providers
- Specialist lenders in property and consumer credit
Frequently asked questions
Data extraction is the latest feature of faScan: relevant content from documents such as salary statements, energy performance certificates, ID cards or land register extracts is read out, normalised and validated by artificial intelligence – and flows directly into the target system. The integrated user interface enables manual validation and correction where required.
Get to know faScan in a personal demo and see live what is possible.
In a joint conversation we will show you:
- How faScan processes your specific document inputs
- What automation potential is realistically achievable at your institution
- What integration into your existing system landscape can look like
- What other institutions have already achieved with faScan