Podcasts
Why core banking projects fail
Many different systems are in operation in a bank’s IT landscape. To some extent, they are interconnected via interfaces and use various programming languages. In view of this, changes are difficult to implement. It takes a lot of investment to keep this type of system, which has developed over time, in operation or to replace it with a completely new system. We would like to recommend a third option. Our project approach ‘Continuous Renewal’ facilitates a smooth changeover. We use state-of-the-art technologies to provide software modules that only upgrade and enhance individual sectors, if necessary.
Our technological approach
Do you want your system architecture to still be flexible and well arranged in the future? Then our advice is to replace existing, inefficient systems and add new functionalities.
Learn more about the options offered by our FlexFinance solution with its agile project approach and make your system architecture future-proof.
FlexFinance Package for IFRS, ALM and Liquidity
With the introduction of IFRS 9 banks are required to consider possible expected credit losses during the entire life cycle of a loan.
But beside this fact expected credit losses are moving into ALM and Liquidity too as they impact expected future cash flows which form the basis for ALM and Liquidity analysis.
Therefore it becomes even more necessary than ever before to run IFRS, ALM, Liquidity on the same data for consistent and reliable results.
The end of the nightmare of regulatory reporting
Putting an end to the nightmare of regulatory reporting involves a lot of time and resources. Our new technology, ‘Continuous Reporting’, which has been patented, will save you money, time and human resources.
Our software ‘Continuous Reporting‘ has reversed the principles of conventional programming for regulatory reporting activities.
Loan application via Conversational Banking - interaction via Messenger and AI Chatbot
For their banking transactions, customers are less and less likely to go to a bank branch, but instead use online banking. It is also possible to check loan conditions or to conclude a loan agreement online without any problems. With our lending solution, bank customers can submit their loan application via Messenger and AI Chatbot. Not only will this result in satisfied customers, it will also allow the bank to save 80% of the costs in the lending business.
Lending management - revolutionary: customer self-service with AI support
The self-service portal offers an additional service to customers and huge cost benefits to banks: payment holidays, early repayments, special repayments and much more. Introduce the self-service portal to your customers and cleverly link this to your management strategy.
Continuous Renewal of Lending Technology
The lending business is gaining more and more importance for banks. Is your lending technology up to date or are you already thinking about modernisation? There are advantages to both a "big bang" project to introduce a new software package and a gradual update of the existing one. In order to benefit from improved agility, flexibility and efficiency, we recommend our project method "Continuous Renewal". You receive a component system that is independent of any manufacturer and uses state-of-the-art technology.
How secure are your recurring incoming payments?
Our AI knows the answer!
More and more companies are relying on business models with recurring payments in the form of subscriptions, instalment payments and the like. Defaults and/or delays in these payment flows often represent a considerable economic risk for the respective provider. Artificial intelligence (AI) has also found its way into the financial sector. FERNBACH has used AI to develop a solution that can be used to forecast the future payment behaviour of customers in arrears.
Artificial intelligence – best practice guidelines
We can show you how to implement a project for artificial intelligence without a security risk when the AI application is operated via a remote connection. Based on practical experience, we have developed a simple procedure model that can be easily used in a bank. Even without any knowledge of artificial intelligence and complex software development.
