
AI-powered document extraction and compliance platform
The Client & Challenge
A Europe based Fintech organization faced significant challenges in managing large volumes of complex regulatory documents across multiple jurisdictions. Manual processing was time-consuming, error-prone, and resource-intensive, leading to inefficiencies, increased compliance risk, and difficulty in meeting critical regulatory deadlines.
The organization needed a solution that could accurately extract and validate key data points from multilingual documents, streamline compliance workflows, and ensure timely and consistent regulatory reporting.
The Solution & Outcome
To address the client’s need for efficient, accurate regulatory document processing, we designed and developed an AI-powered document extraction and compliance platform tailored for high-volume, multilingual environments.
The solution leverages intelligent document splitting, advanced multilingual NLP, and robust data extraction models to automate the identification and validation of critical information across complex regulatory documents. The platform integrates validation screens and real-time processing capabilities to ensure data accuracy and streamline compliance workflows.
Key benefits include:
- Significant reduction in turnaround time (TAT)
- Enhanced document accuracy
- Improved regulatory compliance
- Reduced manual workload for analysts
- Scalable support for multilingual, cross-border document processing
Core AI modules—including document splitting, extraction, and validation—are live with seamless API integrations and real-time processing. The platform has completed user testing and onboarding, and is currently delivering strong performance in production, laying the foundation for intelligent document lifecycle management across regulated industries.
Tools & Technologies
- Natural language processing (NLP)
- React JS
- MongoDB
- Named entity recognition (NER)
- Azure Cognitive Services
- Python
- PDFMiner
- Natural language processing (NLP)
- React JS
- MongoDB
- Named entity recognition (NER)
- Azure Cognitive Services
- Python
- PDFMiner