Key Highlights
- A leading enterprise media company faced significant challenges in manually processing and publishing corporate earnings reports during peak seasons.
- ELSAI Foundry implemented an AI-powered pipeline to automate lease document field extraction, supporting multilingual content and complex document formats.
- The solution leveraged OCR, modular agents, and multilingual translation to extract and structure over 100 key fields, ensuring accuracy and consistency across financial, legal, and operational workflows.
- By integrating secure API delivery and audit-ready outputs, the organization achieved real-time processing, improved operational efficiency, and scalable document handling.
Problem Statement
01
Time-Consuming & Expensive: Manual review of lease documents required significant human effort, slowing down operational workflows and increasing costs.
02
Error-Prone at Scale: High volume and document complexity led to inconsistent data capture, increasing risk for financial, legal, and operational processes.
03
Multilingual Complexity: Lease documents in multiple languages created barriers to consistent data extraction and analysis.
04
Workflow Bottlenecks: Manual processes caused delays in financial, legal, and operational approvals, impacting decision-making and efficiency.
Solution Overview
01
ELSAI Foundry automated lease document field extraction, creating a scalable, accurate, and audit-ready workflow.
02
Documents uploaded via OneDrive or Azure Blob Storage were monitored by a data connector agent, which routed them into the processing pipeline. An OCR-powered extraction agent parsed over 100 structured fields, including checkboxes, dates, dropdowns, and other critical lease information.
03
A multilingual translation agent ensured non-English content was accurately translated into English for consistent processing. The output generator delivered clean, structured data via a secure JSON API, enabling seamless integration into downstream financial, legal, and operational systems.
04
Modular agents and a scalable pipeline allowed flexible handling of unstructured and multilingual lease data, while audit-ready outputs ensured traceability, compliance, and operational transparency.
Business Impact
About The Project
ELSAI Foundry modernized lease document processing for a global real estate solutions provider. By combining OCR, multilingual translation, modular agents, and secure API delivery, the solution automated extraction of over 100 fields with high accuracy and real-time delivery.
This transformation reduced processing time, improved data accuracy, and enhanced operational scalability, enabling the organization to efficiently manage lease documentation at scale while ensuring compliance and traceability.
FAQs:
How does ELSAI Foundry automate the review of complex lease documents?
The platform ingests documents from OneDrive or Azure Blob Storage and uses OCR-powered extraction agents to parse over 100 structured fields, including checkboxes, dates, dropdowns, and other critical lease information, eliminating manual review
How does the system handle multilingual lease documents?
A multilingual translation agent accurately translates non-English content into English, ensuring consistent processing and analysis across documents from different regions.
How is data accuracy and consistency ensured at scale?
Modular extraction agents combined with structured workflows and audit-ready outputs maintain precision across high-volume document processing, minimizing errors and ensuring reliable data for financial, legal, and operational teams.
Can the extracted data integrate with existing systems?
Yes. The output generator delivers structured data via secure JSON APIs, enabling seamless integration into downstream financial, legal, and operational systems for real-time usage.
How does the solution improve operational efficiency and compliance?
By automating extraction, translation, and structured data delivery, the platform reduces human effort, accelerates workflows, increases throughput, and provides full traceability to ensure regulatory compliance and operational transparency.
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