With our AI-based systems, you can optimize your entire credit policy with the help of precise analyses, evaluations and forecasts.
ALEVA provides you with reliable support and thus contributes to the effective reduction of your risks.
Optimize Credit Risk Management with AI Analysis
ALEVA - A mature MLOps enviroment
Integrate general or customized models easily into your decision-making processes. Either in our risk management software CAM, in our intuitive ALEVA portal or directly in your system landscape.
With the help of our extensive interface technology, you can easily and efficiently implement ALEVA into your decision-making processes. We help you to clearly define your requirements, identify the best possible applications and thus adapt new models to your needs.
Benefits
- Monitoring: Systematic monitoring of your data flows and corresponding information in the event of changes in operation
- Optimization: Enabling the solution of complex decision-making problems based on a broad information base
- Future-proof: Continuous adaptation of the models in operation to changing conditions
- Integration: Integration of AI models directly into the workflow and the desired system
AI-based Credit Risk Management for Your Needs
Depending on your credit risk management needs, you can integrate an AI-based solution into your system landscape with ALEVA without a long wait. This supports you in analyzing large amounts of data such as payment experiences and create intelligent forecasts. If you have other use cases for optimizing your credit risk management, we will implement your requirements quickly and easily in a project tailored to your needs. This gives you the flexibility you need to overcome your risk management challenges.
ALEVA Payment Experiences
Improve your risk management through automation with AI-supported analyses and forecasts of internal payment experiences.
ALEVA according to Your Personal Use Case
Work with SCHUMANN to identify your personal application options for AI-supported systems in your company.
AI Analysis Platform ALEVA
Smart credit risk management at the touch of a button: optimize your risk management with AI.
Better Payment Recognition through AI
Download our white paper and gain insights into a comprehensive study by SCHUMANN on pattern recognition in payment behaviour:
- How can AI optimize the assessment of payment experiences compared to classic assessment models?
- How does an AI-based model improve the prediction of incoming payments/company insolvencies compared to rule-based systems?
- How does the analysis of payment behaviour help both to minimize credit risk and to uncover sales potential?
White Paper
Download
Study: AI-based Analysis of Payment Experiences
Study: AI-based Analysis of Payment Experiences
Do You Have Any Further Questions About Our Products & Services?
Then simply get in touch with us.
Your Contact Person
Julius Pfahl
Julius Pfahl
As a Business Development Manager in the Financial Services unit, Julius Pfahl has extensive knowledge of factoring and the development of AI-based systems to optimise credit risk management. He supports companies in the development of concepts for the automation of credit risk management and their successful implementation.
Business Development Manager, SCHUMANN
