Generative AI in finance: Exciting applications

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Generative AI solutions in finance: An introduction


Julia Rose
Marketing & Design
12. May 2023

Generative AI technologies such as ChatGPT (OpenAI) and generative language models have the potential to revolutionize numerous industries. In the financial sector, a shift is already underway as companies begin to utilize generative AI models for certain finance tasks and reap the benefits of the technology. The potential applications for generative AI in this field are diverse, ranging from creating financial analyses to developing intelligent assistants for customer service. Thanks to these AI technologies, financial institutions can improve their efficiency and accuracy and ultimately offer better services to their customers.

In this article, we will examine potential use cases of generative AI in finance and address some of the challenges in implementing generative AI solutions in this field.

Generative KI im Finanzewesen
Generative AI in finance: 6 application examples

The application of generative AI in finance offers numerous opportunities for optimizing business processes and improving the customer experience. Below are four application examples that demonstrate how generative AI is being applied in the financial sector.

  1. Efficient processing of financial documents
    Generative AI can be used to process, summarize, and extract valuable information from large amounts of financial documents such as annual reports, financial statements, and earnings calls. Generative AI is able to independently locate, summarize, and process the desired information, customized to the user’s needs. These solutions not only improve the quality and accuracy of the extracted information but also save time and resources.
  2. Virtual generative AI assistant
    A virtual financial assistant that can provide intelligent answers to specific questions and perform real-time analyses of large amounts of data thanks to generative AI is not a distant future vision but already a reality. With this technology, the assistant can quickly and accurately provide the user with insights into financial situations and perform analyses to create a summary of key facts. This not only allows for significant time savings but also higher accuracy and efficiency in many financial tasks.
  3. Tailored financial reports
    Financial institutions can use generative AI to have custom financial reports and visualizations created that are tailored to the user’s specific needs. This makes them even more valuable for businesses and financial experts. The reports can include balance sheets, income statements, and cash flow statements. Automating this process reduces manual effort, and ensures consistency, accuracy, and timely delivery.
  4. Fraud detection
    In the financial sector, this technology can also be used to detect fraud. But how does it work? Generative AI creates synthetic examples of fraudulent transactions or activities to train machine learning algorithms to distinguish legitimate from fraudulent patterns in financial data. A generative AI solution can flag suspicious content and summarize it, helping identify fraudulent content and prevent fraud cases from occurring more quickly.
  5. Clear rejection statements for bank customers
    Decision-making in lending is an important aspect of banking. But what happens when a credit request is denied? This is where Generative AI can come into play and help make rejecting decisions more understandable and user-friendly. Generative AI can automatically generate explanations for rejected credit requests. This allows banks and financial institutions to generate easy-to-understand explanations that show applicants why their request was denied. All of this is done in an understandable way, so customers can gain more confidence in the decision-making process and become more aware of future applications.
  6. Visual reports and graphics
    The solutions are capable of automatically creating reports and visual representations that enable users to present the results and trends in financial documents. Companies and investors can make informed decisions more quickly and effectively, as they have all the relevant information at a glance. This automated report generation not only saves time and resources but also enables higher accuracy and efficiency in information processing.

By using Generative AI solutions, companies in the financial sector can strengthen their competitiveness and increase their efficiency, while simultaneously enhancing customer satisfaction. Whether it’s processing financial documents, creating customized reports, detecting fraud, or improving credit decisions, Generative AI is increasingly becoming an indispensable tool for successful companies in the finance industry.

Introduction to using Generative AI   

To take advantage of the benefits of Generative AI in finance, financial institutions should start integrating the technology into their business model now. The following approach has proven successful:

  1. Identify a suitable use case and collaborate with AI specialists to evaluate the use of Generative AI.
  2. Create a proof of concept to test the effectiveness of the technology.
  3. Upon successful completion of the proof of concept, models are created and configured to scale the use of the technology in various use cases.
Individual Generative AI solutions for the financial industry

At, we have extensive experience in developing Generative AI solutions for various industries. We work closely with our clients to develop individual solutions tailored to their specific needs. If you are interested in how Generative AI can improve your business processes, do not hesitate to contact us. We look forward to working with you and helping you harness the potential of Generative AI in finance.

If you are interested in Generative AI solutions for your company, do not hesitate to contact us. We are here to answer your questions and help you harness the potential of Generative AI in finance.