Document-AI

Transforming Transactional Document Verification with Document AI

Executive Summary

In the fast-paced world of Real Estate, efficiency and accuracy in handling transactional documents are paramount. Our client, a prominent Real Estate company, faced significant challenges in processing and verifying a high volume of transactional documents daily. Manual verification processes were not only time-consuming but also prone to errors, affecting overall operational efficiency and customer satisfaction.

Revolutionizing Real Estate Sales Transactions through AI Innovation

Enhancing accuracy

This project strives to transform the real estate sales transaction process by harnessing state-of-the-art AI technologies.The innovative approach proposed involves the utilization of Language Models (LLMs) and advanced deep learning models.The primary objectives are to enhance accuracy, streamline efficiency, and achieve scalability in real estate transactions.The integration of cutting-edge technologies marks a significant shift in the traditional real estate industry paradigm. The use of LLMs and deep learning models ensures a sophisticated and precise methodology for transactional processes.The focus is on continuous monitoring and updates, underlining the commitment to sustained and long-term success.This initiative aims to revolutionize how real estate transactions are conducted, paving the way for a more efficient and effective system.

The Challenge

Our client, a leading Real Estate Company in the US, struggled with processing and verifying thousands of transactional documents daily, including contracts, loan applications, and invoices. Manual verification was slow, error-prone, and resource-heavy, leading to frequent mistakes, delayed processing times, and higher costs. These inefficiencies impacted customer satisfaction and regulatory compliance, highlighting the need for an automated, scalable solution to improve document accuracy and operational efficiency.

OUR SOLUTION

1

OCR Free Structured Text Extraction

Our solution leverages a fine-tuned Multi-Modal Vision-Text Language Learning Model (LLM) to extract structured data from unstructured PDFs. By combining visual and textual elements, it accurately captures relevant data fields, ensuring reliable document processing.

2

Validation via Rules Engine

A robust rules engine automatically validates the extracted data against predefined business logic, ensuring accuracy for about 98% and reducing discrepancies before proceeding to the next stage.

3

Data Preparation Tool for AI Processing

We built synthetic data preparation tool that takes single PDF template and converts that into required number of variations at scale to ensure that fine-tuned model is not overfitted for current actual sample. This step enhances the AI’s ability to process and interpret the documents efficiently.

BENEFITS

Processing Time Reduction

The client reduced the average processing time for transactional documents by 70%.
Customers received quicker responses, enhancing their experience.

Error Rate Decrease

The error rate in document verification decreased by 85%, improving overall accuracy.
Fewer discrepancies led to smoother operations and reduced risk.

Employee Productivity

Employees were able to focus on more strategic tasks, improving job satisfaction and productivity.
The automation of routine tasks led to a more motivated workforce.

Compliance and Audit

The client maintained a higher level of compliance with regulatory standards.
Detailed records and audit trails facilitated easier audits and inspections

Featured Case-Studies

Energy and Utility

Energy and Utility project highlights the pivotal role of technological innovation in shaping the future of the industry. Through the strategic implementation of cutting-edge solutions, we have witnessed a substantial enhancement in operational efficiency, sustainability practices, and overall performance. As we navigate the dynamic landscape of energy and utilities, it is evident that embracing innovative technologies is not merely a choice but a necessity for building a resilient and sustainable future in this crucial sector.

Testing

This project aims to transform the testing phase by integrating advanced methodologies. Employing cutting-edge testing models and deep learning approaches guarantees a testing process marked by precision, effectiveness, and scalability. Ongoing monitoring and updates are essential for ensuring the sustained effectiveness of this groundbreaking testing strategy.