Azure AI Foundry
3 use cases using this technology
Raiffeisen Bank International Launches Its Own ChatGPT Using Azure OpenAI Service
Raiffeisen Bank International
Raiffeisen Bank International (RBI), a cooperative bank headquartered in Vienna, Austria serving 16.5 million customers in 11 markets, built 'RBI ChatGPT' using Azure OpenAI Service and Azure AI Search within Azure AI Foundry, with Azure AI Content Safety for content moderation. The tool automates repetitive tasks like documenting intelligence and summarizing legal, regulatory and banking documents, and supports line leveling in reconciliation reporting, extracting and summarizing public news articles and financial reports, drafting emails, and answering regulatory questions. RBI ChatGPT was first deployed to 2,000 users and now has an active user base of over 20,000. A feature called 'yellowGPTs' lets employees contribute their own solutions and dedicated knowledge bases built on the platform. RBI is also experimenting with tying the o1 model on Azure OpenAI Service into its application framework.
Banco Ciudad builds 10 AI agents in six months with Microsoft 365 Copilot and Copilot Studio
Banco de la Ciudad de Buenos Aires
Banco de la Ciudad de Buenos Aires (Banco Ciudad) established an AI Center of Excellence and deployed Microsoft 365 Copilot, Copilot Studio and Azure AI Services to automate tasks and build AI agents. Starting from a pilot of 1,000 Copilot licenses, the bank built over 10 AI agents in Copilot Studio within six months to automate tasks like PDF text extraction and employee training. The bank freed up 2,400 hours annually, saved USD14,500 per month via call-center sentiment analysis on 70,000+ monthly interactions, and projects a total AI impact of USD75,000 per month, with a 90% internal approval rating for deployed AI agents, achieved without headcount reduction.
Banco Bradesco Streamlines Customer Service with Azure AI Foundry, Apps, and Databases
Banco Bradesco SA
Banco Bradesco, co-developing with Microsoft and Avanade, built Bridge, a multi-agent, technology-agnostic generative AI platform based on Azure OpenAI in Foundry Models, with governance standardized through Azure Red Hat OpenShift and Azure API Management for deployment and scaling. Bridge powers BIA for Customers and BIA Corporate virtual assistants across phone, chat and WhatsApp for roughly 74 million customers. Results include an 83% resolution rate for digital customer service, 80% for employee queries, 89% request retention, a more than 30% reduction in technology costs, product launches up to 10x faster, an 8x productivity increase in managerial efficiency, and a 65% efficiency gain in audit planning. Azure Cosmos DB processes more than two million requests and two billion inference tokens daily. The bank runs 10 large language models and at least 20 use cases in production, including MentorIA, which automates analysis of more than 18,000 collections calls per day.