UBS builds 'UBS Red' AI assistants for client advisors on Azure OpenAI
UBS built UBS Red, a pair of domain-specific AI assistants using Azure AI Search and Azure OpenAI Service, digitizing approximately 60,000 investment advice and product documents into a queryable knowledge base for Client Advisors, and rolled out Azure OpenAI Service to 30,000 employees across Switzerland, Hong Kong and Singapore booking centers within 10 months.
Overview
UBS built UBS Red, a pair of domain-specific AI assistants using Azure AI Search and Azure OpenAI Service, digitizing approximately 60,000 investment advice and product documents into a queryable knowledge base for Client Advisors, and rolled out Azure OpenAI Service to 30,000 employees across Switzerland, Hong Kong and Singapore booking centers within 10 months.
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Inspect the highlighted sourceThe challenge
UBS faced challenges delivering personalized insights to clients due to complex workflows and content systems, which hindered efficiency and made it hard to give Client Advisors timely, tailored advice from a vast internal repository of financial expertise and market insight.
The solution
UBS built two domain-specific AI assistants known as UBS Red, using Azure AI Search and Azure OpenAI Service, digitizing about 60,000 investment advice and product documents into a queryable knowledge base with multi-language support, and used Azure AI Search's vector search to surface conceptually similar information from unstructured data.
Reported business value
The queryable knowledge base saves Client Advisors considerable time in meeting preparation and research, and within 10 months Azure OpenAI Service was rolled out to 30,000 employees across four divisions and the Switzerland, Hong Kong and Singapore booking centers.
Sources
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