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 China State Construction Reduced Rework by 18% Using AI-Powered Cameras and IoT Sensors
Construction
How DNAMIC Developed AI-Powered Wearable Devices for Cardiovascular Health Monitoring
Healthcare & Medical
How Built In Improved Win Rates and Deal Size by 10%+ Using Apollo’s Data Enrichment
Technology & SaaS
How a Retail Client Improved Customer Feedback Response Time and Satisfaction Using AI Analytics
Retail & E-commerce
How GetGenerative.ai Optimizes Task Assignment and Scheduling with AI-Driven Project Management
Technology & SaaS
How Rupp Pfalzgraf Increased Case Workload by 10% Using Lexis+ AI for Legal Research and Drafting
Legal