Covered Bond Assistant
Enhance Your Covered Bond Management with Automation & Analytics
Automated rating template generation, allowing banks to monitor cover pool changes and quickly resolve quality issues. Low-code platform
simplifies integration, offering rapid customization, data analytics, and AI.
Benefits
Workflow
FAQ
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How does the solution work?
Our solution collects and integrates data from various systems within your bank. The prepared data is then used for different dashboards and archived, allowing you to perform historical analyses and make informed decisions.
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Is the solution secure?
The security of your data is guaranteed. Our low-code tool can be installed on your bank's on-premise servers, ensuring that all data remains internal. There is no external data traffic that could compromise security. -
How flexible is the solution?
The data pipelines are tailored specifically to your bank’s requirements. Thanks to the low-code platform, adjustments can be made quickly and efficiently without the need to write additional code.
Request presentation
Please feel free to contact us. We will hold a presentation and show the product at a convenient time for you.
Send us a letter to the
info@adeal-systems.com
Give us a phone call
+49 (0)6102 574 386 0
RaaS
Recommendations as a Service
Our project "AI Services for German SMEs" was funded under the Distr@l program of the state of Hesse: Validierungs-/Wachstumsförderung
Many small and medium-sized enterprises (SMEs) lack the resources and know-how for an automated analysis of their customers' behavior. However, the results of this analysis form the basis for good digital marketing and sales.
Our AI service RaaS solves this issue for SMEs. This pre-built AI service is intended for business users and is thus very different from common technical AI platforms and frameworks. The design of this service is based on an integration of multiple machine learning approaches such as customer segmentation, transaction clustering, statistical consumption analysis and recommendation engines.
The use of our recommendation service provides significant benefits for SMEs such as increasing customer loyalty, increasing marketing team productivity and improving customer service quality. The primary application group is German SMEs from the retail and e-commerce sectors.