Quick Overview
Exadel created a Generative AI-powered solution to automate the conversion and categorization of unstructured and semi-structured data for a consulting firm. Using natural language processing (NLP), the system accurately interprets and tags documents, enabling seamless integration with analytics tools. This automation saved over 50,000 work hours and processed more than 10 million documents, significantly improving data analysis and consulting output quality.
Exadel
Company Size
Not publicly disclosed
Revenue Range
Not publicly disclosed
Primary Challenge
Reducing manual effort in data standardization and improving data usability
Key Metrics
\- 50,000+ work hours saved\- 10M+ documents processed\- Improved data analysis and consulting outcomes
The Problem
Manual standardization of unstructured data was labor-intensive and error-prone
The Solution
GenAI solution with NLP for automated data conversion, tagging, and integration with analytics platforms
Results
\- Massive time savings\- Enhanced data quality and accessibility\- Improved consulting insights and decision-making
Details
Industry
Technology & SaaS
Departments
Operations & Workflow Automation
Use Cases
Document Management
Tags
GenAI
NLP
Scalability
AI Tools Used
No items found.
Sources
https://exadel.com/wp-content/uploads/2024/07/Real-Life-Use-Cases-for-Gen-AI-Powered-Document-Management.pdf
More Case Studies
See All
How TechFlow Uses ChatGPT Integration to Streamline Internal Communication and Collaboration Across Time Zones
Technology & SaaS
How Vue AI Enables Retailers to Save on Photoshoot Costs and Enhance Customer Experience with Virtual Dressing Rooms
Retail & E-commerce
How APRO Software Uses AI to Deliver Transparent Sprint Reporting for Cats and Dogs Image Classification
Technology & SaaS
How PNC Bank Used AI-Powered LegalVIEW BillAnalyzer to Increase Billing Guideline Compliance and Streamline Legal Bill Review
Legal
How TTMS Uses AI-Powered E-Learning to Accelerate Helpdesk Training and Onboarding
Technology & SaaS
How Mindstrong Health Uses AI Behavioral Analytics for Early Detection and Intervention in Mental Health
Mental Health