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GenAI in banking

Driving innovation for sustainable business models

For the financial industry, AI is no longer a dream of the future, but a reality. As a key technology driver, it is becoming increasingly important for competitive value creation in banking. It is becoming an integral part of a future-proof IT strategy. As the maturity of bank-specific use cases increases, the benefits of using AI are becoming clearer. Whether process automation, fraud prevention, chatbots, KYC or personalised banking - the variety of AI applications in banking is impressive!


Would you like to welcome GenAI to your bank?

Executives from 40 companies in the German financial sector took part in our major GenAI survey and delivered a clear result: banks see themselves well positioned for the future with Generative AI.

We have summarised the results for you.

To the study


Our GenAI use cases in the banking sector

Efficient sanctions screening with AI

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.

Next Best Offer (NBO)

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.

Know you customer (KYC) legitimisation

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.

Lead generation

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: data extraction from energy performance certificates

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.



Further content on Generative Artificial Intelligence


Do you have any questions?

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