GenAI in banking

Automated analysis of transactions for sanctions violations is important, but false positives can be a problem. An AI-based solution uses machine learning to identify these and reduce manual effort. This frees up staff to focus on in-depth review of suspicious transactions, resulting in more accurate monitoring and more efficient use of resources.

Banks rely on AI-supported solutions to better understand customers, address them individually and make advisory processes more efficient. Our AI analyses customer profiles, financial situations, sectors and preferences in order to generate tailored product recommendations. This enables customer advisors to suggest suitable products and involve product specialists where necessary.

Manual verification of ID card data and commercial registers is time-consuming and error-prone. AI offers a solution: image recognition algorithms for automated matching and NLP for extracting relevant information. This makes the onboarding process more efficient and fraud prevention easier.

Bank advisors work with time-consuming manual analyses that lead to delays and wasted resources. Our AI automates the screening of annual reports and press releases and evaluates them using a scoring system. This enables a proactive response to customer preferences and more efficient lead generation in corporate banking.

ESG scoring requires data from various sources, in particular from the energy performance certificate (EPC) and the sustainability certificate (SC). AI automates document recognition and data extraction from these sources. This solution automates and accelerates the ESG assessment process, optimises the use of resources and improves the quality of decision-making.