Spotlights
Breaking Down Complex Loans: An Opportunity for Automation
The banking of the future is digital and automated. In addition to satisfied customers, banks benefit from cost advantages through automated processes. This applies in particular to routine activities in the consumer credit sector. But when it comes to complex processes, which include corporate loans and project finance, the degree of automation is considerably lower. However, by breaking down a complex loan agreement and identifying the individual functions, the same processes can be automated as with retail loans.
Risks from turnaround in interest rates threaten mortgage business
No more negative interest rates, chance of higher savings rates – but costs are on the rise for debtors. Those who cannot afford their dream of a proper homestead anymore will cause problems for banks. Solutions based on artificial intelligence help identify probabilities of default early on and issue warnings of major damages in advance.
AI solutions in the banking environment
Artificial intelligence, or AI for short, is currently on everyone’s lips. We associate buzzwords such as machine learning, neural networks and self-learning algorithms with a modern trend technology that we already encounter all too often in everyday life: Be it voice assistants like Alexa, Siri, Cortana & Co, personalised advertising while surfing the internet, traffic jam reports from Google Maps or sense-based translation tools like DeepL.
But what about the use of AI solutions in the banking environment?
Balance sheet forecast for banks
Although someone once said that the balance sheet of a company is like the three body shapes of a woman – one shape she has, another one she shows, and yet another one she wants to have – we have succeeded in developing a software that makes it possible to generate reliable forecasts of the bank balance sheet for future booking days. In accordance with the FERNBACH procedure, both balance sheet truth and balance sheet clarity are maintained in the forecasted balance sheets.
Guidelines on loan origination and monitoring
The EBA guidelines on loan origination and monitoring (EBA/ GL/2020/06) introduce requirements for the credit assessment of borrowers. The objective of these guidelines is to ensure that high-quality loans are granted in order to reduce the likelihood of new loans becoming non-performing in the future. To this end, the guidelines define detailed governance arrangements for the granting and monitoring of credit facilities throughout the credit life cycle. The EBA guidelines on loan origination and monitoring are divided into a total of eight chapters.
Continuous Renewal
So what’s your modernisation strategy – a ‘big bang’ project to implement a new software package or do you keep on improving the systems already in operation?
We can recommend a third alternative. Our project method ‘Continuous Renewal’ reduces project risks and achieves success quicker with more focus on customers. We supply a provider-independent, state-of-the-art component system.
NPL servicing platforms. Effectiveness of debt collection
The European Banking Authority (EBA) has set out guidelines for integrating measures for processing problem loans into banking procedures. These focus on concessions to borrowers with regard to repayment methods when borrowers start to show signs of financial difficulties.
The "Guidance to banks on non-performing loans" (NPL) published by the European Central Bank provides for an operational model for NPLs based on specialised NPL workout units (WUs) which are to take over activities in all stages of non-performing loans.