Implementing a Secure GenAI Platform and Use Cases

Customer

Major Swiss Bank

The bank’s innovative SafeChat project established a comprehensive GenAI governance framework, turning potential AI security challenges into a scalable, enterprise-level technological advantage.

Challenge

  • Client wanted to introduce GenAI into the company with a first lighthouse use case. The priorities for customer were:
    • ensure that the employees have a compliant and secure way to interact with an LLM Chatbot
    • mitigate the risk of data leaks from employees using authorised solution like ChatGPT with private accounts
    • build the technical foundation and acceptance to build more advanced use cases in the future
  • There was no established framework for secure generative AI service integration

Solution

  • OpenAI Service Integration into the bank’s official Azure infrastructure
  • Developed SafeChat application using internal Java application development framework including:
    • Detailed approvals
    • Robust documentation
    • Comprehensive support organization
  • Extended SafeChat with RAG (Retrieval-Augmented Generation) Chatbot for two specific use cases

Business Impact

  • Established first GenAI service platform acting as a security and compliance gateway
  • Created a scalable model for future GenAI use cases across the bank
  • Enabled secure and compliant generative AI interactions
  • Successfully deployed SafeChat to over 6,000 users
  • Built technical and conceptual foundation for enterprise-wide AI integration
  • Mitigated risks associated with unauthorized AI tool usage
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