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 Cove Smart Reduced Response Times by 80% and Increased Self-Service with Tidio’s Lyro AI
Technology & SaaS
How Botkeeper Uses AI to Automate Bookkeeping and Empower Accounting Firms to Scale
Technology & SaaS
How AudioStack Uses AI to Revolutionize End-to-End Audio Production and Scale Personalized Campaigns
Media & Entertainment
How CareHalo Uses AI for Scalable Remote Patient Monitoring and Chronic Disease Management
Healthcare & Medical
How Beecker AI Streamlined Employee Onboarding with Custom Power Automate Solution
Technology & SaaS
How Camping World Used AI to Improve Call Center Efficiency and Lead Capture
Retail & E-commerce