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 a Global Consumer Goods Manufacturer Uses AI-Driven Dashboards to Accelerate Product Launches and Optimize Supply Chain
Manufacturing
How CME Group Boosted Developer Productivity Using Gemini Code Assist
Finance & Banking
How Ford Uses Machine Learning to Optimize Campaign Targeting and Double Conversions
Manufacturing
How MetroBank Group Increased Customer Satisfaction by 30% with AI-Powered Analytics
Finance & Banking
How E-Commerce Retailers Use AI to Increase Average Order Value and Conversion Rates with Personalized Recommendations
Retail & E-commerce
How Fugue Jumped from 10th to 1st on SERPs Using Frase.io SEO Tools
Technology & SaaS