Case Study: a prominent bank operating in Kazakhstan achieves faster multilingual customer support with Andersen's AI-powered multi-channel assistant

a prominent bank operating in Kazakhstan handles 2 million queries in a month with Andersen

The prominent bank operating in Kazakhstan engaged vendor Andersen to build a scalable AI-powered multi-channel assistant. The bank's challenge was to optimize client interactions by handling high query volumes and complex document retrieval across its digital platforms, requiring multilingual support, robust security, and cost efficiency.

Andersen engineered and deployed the assistant on AWS, leveraging services like Amazon Bedrock, Lambda, and OpenSearch along with multiple LLMs and RAG architecture. The solution resulted in the processing of roughly 2 million queries in its first month, improved response accuracy, and a 40% reduction in expenses due to AWS's pay-as-you-go model, significantly enhancing user engagement and operational efficiency for the bank.