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 35 Million Documents Auto-classified and consolidated in 2 weeks
Case Study

From Document Overload to Intelligent Automation: How a Leading American Bank Streamlined 35 Million Documents with Datamatics

Client

One of the leading banks in USA


Industry

Banking & Financial Services

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The Challenge: Data Overload, Low Efficiency

After acquiring six banks, the client found itself drowning in an overwhelming volume of documents. Their document management system was bursting at the seams with 35 million loan application forms and supporting documents, making organization and retrieval a daunting task. Manually sorting through this vast archive was inefficient, time-consuming, and prone to errors.

To maintain operational efficiency and compliance, the bank needed a smarter, automated approach—one that could auto-analyze, index, and classify documents into 275 pre-defined categories.

Additionally, they sought to explore Smart Automation solutions that could streamline document classification, improve accessibility, and enhance decision-making. The challenge wasn’t just about managing data; it was about transforming it into an asset rather than a bottleneck.

The Solution: AI-Driven Automation TruAI

Recognizing the urgency, the bank partnered with Datamatics to implement TruAI, an AI-driven Intelligent Document Processing (IDP) solution. Leveraging machine learning, optical character recognition (OCR), and natural language processing (NLP), the solution automated document classification and extraction with unmatched speed and accuracy.

Datamatics deployed the system in record time, seamlessly integrating it with the bank’s existing infrastructure. TruAI performed deep context analysis, auto-classifying documents into 275 categories using a Naïve Bayes algorithm, making vast troves of financial records instantly searchable and retrievable.

Real-time dashboards and audit trails ensured complete transparency, reinforcing regulatory compliance and security protocols.

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Impact: Unmatched Efficiency and Compliance Assurance

 

50% Reduction In Operational Expenditure using AI Tool

50%

Reduction In Operational Expenditure

87% Accuracy Improved - Document Classification using AI - Case Study

87%

Accuracy Improved

150 Man Hours Saved Per Month - Document Classification Case Study

150

Man Hours Saved Per Month

35 mn Documents Auto-Classfied & Auto-Indexed using Artificial Intelligence

35 mn

Documents Auto-Classfied And Auto-Indexed

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