Quick Overview
Bank of New York Mellon (BNY Mellon) developed an AI-powered virtual assistant to help employees quickly find relevant information across internal data and documentation. The assistant leverages AI search and natural language processing to provide accurate answers, improving employee support and operational efficiency.
Bank of New York Mellon (BNY Mellon)
Company Size
Large multinational financial services
Revenue Range
Not publicly disclosed
Primary Challenge
Improving speed and accuracy of internal information access for employees
Key Metrics
\- Faster, more accurate internal information retrieval\- Enhanced employee support and productivity
The Problem
Employees faced difficulties locating relevant internal data quickly, slowing workflows
The Solution
AI virtual assistant integrated with internal data sources and natural language search
Results
\- Reduced search times\- Improved employee satisfaction\- Streamlined internal workflows
Details
Industry
Finance & Banking
Departments
Internal Communication & Collaboration
Use Cases
Information Retrieval
Tags
GenAI
NLP
Scalability
AI Tools Used
No items found.
Sources
https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders
More Case Studies
See All
How Lyzr Leveraged Surfer SEO to Boost Organic Traffic by 150% in 3 Months
Marketing & Advertising
How Google Uses AI to Optimize Regression Testing and Improve Bug Detection
Technology & SaaS
How Coca-Cola Automated HR Audit Processes Across Multiple SAP Systems
Retail & E-commerce
How Keegan’s Personal Blog Scaled to 981 Indexed Pages and 1,500 Monthly Clicks Using Arvow AI
Marketing & Advertising
How Slaughter and May Uses Luminance AI to Accelerate Due Diligence and M&A Transactions
Legal
How Beacon Health Management Automated Turnover Analytics to Save 10 Hours Monthly
Healthcare & Medical