These AI-powered assistants aim to provide deep market intelligence and relevant, timely information on investment products and investor behavior. They are expected to help accelerate the investor onboarding process, reduce the time taken for documentation, and resolve queries more efficiently. This collaboration is a significant step in the integration of advanced AI technologies in the financial services industry, offering innovative solutions to enhance customer experience and operational efficiency.
The Wipro GenAI-powered cognitive assistants for financial services, developed in collaboration with Microsoft, are designed to enhance the efficiency and experience of financial professionals. Here's how you can access them:
- Wipro GenAI Investor Intelligence: This virtual assistant provides in-depth market insights and timely updates on investment options and customer behavior. It aims to empower financial advisors with better and faster market and product intelligence, enabling them to deliver personalized and timely service to clients.
- Wipro GenAI Investor Onboarding: Streamlining the investor onboarding process, this assistant reduces the time taken for documentation. It assists in validating documents efficiently and offers helpful responses to investor queries.
- Wipro GenAI Loan Origination: For loan origination, this virtual assistant simplifies the process by cutting down paperwork and repetitive steps. It ensures a smoother experience for both financial professionals and their clients.
Integration with Existing Platforms:
- These cognitive assistants are integrated with existing digital platforms, ensuring a seamless experience for users.
- They operate on Microsoft Azure Open AI and are accessible through Azure App Services.
- Leveraging Microsoft Azure Document Intelligence, they extract text, key-value pairs, and structures from documents to turn them into actionable data.
Wipro’s new GenAI-powered cognitive assistants will run on Microsoft Azure Open AI and will be available on Azure App Services.
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