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LBBW is focusing on the future with its own GenAI solution

LBBW is focusing on the future with its own GenAI solution

GFT EnterpriseGPT provides secure and efficient support for around 8,200 employees

Generative AI (GenAI) has quickly become part of people’s daily life. The challenge in a business environment is to provide all employees with fast and secure access to the technology. LBBW implemented a customized version with GFT EnterpriseGPT as a secure and cost-efficient GenAI solution for use by all employees.

Secure GenKI solution

for 8,200 employees, individually customized and GDPR-compliant

Höchste Flexibilität

Parallele Nutzung von KI-Modellen und dynamische Plug-ins

Effiziente SaaS-Lösung

Skalierbar, kosteneffizient und wartungsfrei durch GFT

Client

LBBW

LBBW is a medium-sized universal bank. As a financial partner, it understands and is familiar with the business model and strategy of its customers.

Challenge

Introduce a first, secure GenAI chatbot for all employees

GenAI marks the latest phase of the digital revolution. LBBW, a medium-sized universal bank, sees this technology as an opportunity to achieve productivity gains, transform work processes and increase its competitiveness. To give its employees the opportunity to gain experience with the technology and use it in their day-to-day work, the bank introduced a secure enterprise solution for its approximately 8,200 employees in the first step.

Developing and launching a GenAI solution comes with several technical and regulatory challenges, especially in highly regulated industries such as Finance.These include:

Data protection regulations – to ensure GDPR compliance, no sensitive data must be stored or processed outside Europe.
Prohibition of further use of data – any data collected must not be used for unauthorized purposes. Specifically, public AI models must not be trained using LBBW individual prompts or data.
Protection of trade secrets – safeguarding internal information and trade secrets is essential to the integrity and security of the bank's day-to-day operations.
Scalability and performance – the solution must support potentially thousands of users simultaneously, be quickly scalable, provide real-time responses and be able to grow cost-effectively in line with business needs.

LBBW places a high value on data protection compliance and the protection of its employees. Faced with these requirements, the bank chose to partner with GFT to provide a GenAI chatbot. With its technological expertise and extensive practical experience in the field of artificial intelligence, GFT was able to design, develop and implement a customised Enterprise GenAI solution.

“Together with GFT, we were able to set up a customized GenAI solution in just a few months. In particular, the flexible and excellent collaboration with GFT on this dynamic topic has enabled our employees to use the solution securely and at an early stage.”

Tim Klopsch

blue.gpt project manager

LBBW

Project

Delivering a customized GenAI solution

To meet LBBW's requirements, GFT developed a customized GenAI application in short time. This provides users with access to the most advanced GPT models from Microsoft Azure OpenAI Services.

Key elements of GFT EnterpriseGPT include:

SaaS cloud solution managed by GFT that frees the bank from the need to invest periodically in software or security updates. GFT EnterpriseGPT is highly standardized, runs on all common cloud platforms and can be expanded at minimal cost.
Independence and flexibility to use different AI models in parallel. Although launched with Microsoft Azure OpenAI Services, hosted open-source models or cloud-based large language models can still be used.
Easy expandability using plugins to enable dynamic expansion of functionality. For example, the web search plugin uses Bing to search the internet in real time. Answers are labeled with precise sources to ensure effective fact-checking and transparency of data provenance
Scalability and performance so that potentially thousands of users can access the solution at the same time and deliver real-time answers cost-effectively.