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Elevating Document Extraction

Elevating Document Extraction Accuracy from 97% to 99% with AI-Powered Validation

Learn how elsai DocLoom and LLM-as-Judge capabilities enabled a leading enterprise to automate document processing, enhance accuracy, and accelerate operational efficiency.

99%

99%

99%

99%

Document Extraction Accuracy

50,000

50,000

50,000

50,000

Documents Delivered Weekly 

2.5 lakh

2.5 lakh

2.5 lakh

2.5 lakh

Documents Processed Successfully

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Overview

A leading global provider of credit information, business intelligence, and risk management solutions. As part of its GIS engagement in the Philippines, our client processes large volumes of business documents that must be accurately extracted, validated, and mapped into client-defined JSON schemas.

Business Challenge

Despite an established extraction and quality control process, our client faced challenges in achieving higher accuracy and reducing manual review efforts, including:

01

Managing high-volume document extraction at scale

02

Improving document-level accuracy beyond 97%

03

Improving document-level accuracy beyond 97%

04

Reducing dependency on manual QC processes 

05

Handling specialized document types without 
impacting
delivery timelines 

elsai Solution 

To help improve extraction accuracy and streamline validation workflows, elsai deployed two complementary capabilities: Docloom and LLM-as-Judge.

LLM-as-Judge for Intelligent Validation

The LLM-as-Judge module validated extracted JSON outputs against source OCR data and provided reasoned error detection, enabling:

• Automated Validation of extracted data

• Detection of missing fields and schema mismatches

• Identification of semantic and mapping errors

• Categorization of errors for faster remediation

• Support for bulk correction workflows

Business Impact 

99% document-level extraction accuracy, improving from 97% and helping eliminate recurring data quality issues across high-volume document processing workflows.

2.5 lakh documents processed successfully, demonstrating the platform's ability to operate reliably at enterprise scale without compromising accuracy.

50,000 documents delivered every week, enabling them to maintain its delivery commitments and service-level agreements throughout the engagement.

Accuracy improvements achieved within just 3 weeks, accelerating time-to-value while minimizing disruption to ongoing operations.

Significantly reduced manual QC effort through automated error diagnosis, intelligent categorization, and bulk remediation of recurring extraction issues.

The elsai Advantage 

• AI-powered document extraction and validation 

• Reasoning-driven quality assurance with LLM-as-Judge 

• Faster error detection and remediation 

• Scalable processing for specialized document types 

• Enterprise-ready accuracy, reliability, and governance 

Collaboration with Unicus 

Unicus and elsai worked together to enhance our client's document extraction workflow while preserving existing delivery commitments. Unicus leveraged elsai Docloom and LLM-as-Judge capabilities to improve error detection, automate remediation, and streamline the handling of specialized document types. The partnership delivered measurable gains in both accuracy and operational efficiency. 

Discover how you can transform clinical study operations with elsai intelligent governance.

Let's build a solution tailored to your business needs. 

Talk to our experts →

Stay in touch with the pace of the AI industry with the latest resources from elsai

Get updates when new insights, blogs, and other resources are published, directly in your inbox.

Overview

A leading global provider of credit information, business intelligence, and risk management solutions. As part of its GIS engagement in the Philippines, our client processes large volumes of business documents that must be accurately extracted, validated, and mapped into client-defined JSON schemas.

Business Challenge

Despite an established extraction and quality control process, our client faced challenges in achieving higher accuracy and reducing manual review efforts, including:

01

Managing high-volume document extraction at scale

02

Improving document-level accuracy beyond 97%

03

Improving document-level accuracy beyond 97%

04

Reducing dependency on manual QC processes 

05

Handling specialized document types without 
impacting
delivery timelines 

elsai Solution 

To help improve extraction accuracy and streamline validation workflows, elsai deployed two complementary capabilities: Docloom and LLM-as-Judge.

LLM-as-Judge for Intelligent Validation

The LLM-as-Judge module validated extracted JSON outputs against source OCR data and provided reasoned error detection, enabling:

• Automated Validation of extracted data

• Detection of missing fields and schema mismatches

• Identification of semantic and mapping errors

• Categorization of errors for faster remediation

• Support for bulk correction workflows

Business Impact 

99% document-level extraction accuracy, improving from 97% and helping eliminate recurring data quality issues across high-volume document processing workflows.

2.5 lakh documents processed successfully, demonstrating the platform's ability to operate reliably at enterprise scale without compromising accuracy.

50,000 documents delivered every week, enabling them to maintain its delivery commitments and service-level agreements throughout the engagement.

Accuracy improvements achieved within just 3 weeks, accelerating time-to-value while minimizing disruption to ongoing operations.

Significantly reduced manual QC effort through automated error diagnosis, intelligent categorization, and bulk remediation of recurring extraction issues.

The elsai Advantage 

• AI-powered document extraction and validation 

• Reasoning-driven quality assurance with LLM-as-Judge 

• Faster error detection and remediation 

• Scalable processing for specialized document types 

• Enterprise-ready accuracy, reliability, and governance 

Collaboration with Unicus 

Unicus and elsai worked together to enhance our client's document extraction workflow while preserving existing delivery commitments. Unicus leveraged elsai Docloom and LLM-as-Judge capabilities to improve error detection, automate remediation, and streamline the handling of specialized document types. The partnership delivered measurable gains in both accuracy and operational efficiency. 

Discover how you can transform clinical study operations with elsai intelligent governance.

Let's build a solution tailored to your business needs. 

Talk to our experts →

Stay in touch with the pace of the AI industry with the latest resources from elsai

Get updates when new insights, blogs, and other resources are published, directly in your inbox.

Overview

A leading global provider of credit information, business intelligence, and risk management solutions. As part of its GIS engagement in the Philippines, our client processes large volumes of business documents that must be accurately extracted, validated, and mapped into client-defined JSON schemas.

Business Challenge

Despite an established extraction and quality control process, our client faced challenges in achieving higher accuracy and reducing manual review efforts, including:

01

Managing high-volume document extraction at scale

02

Improving document-level accuracy beyond 97%

03

Improving document-level accuracy beyond 97%

04

Reducing dependency on manual QC processes 

05

Handling specialized document types without 
impacting
delivery timelines 

elsai Solution 

To help improve extraction accuracy and streamline validation workflows, elsai deployed two complementary capabilities: Docloom and LLM-as-Judge.

LLM-as-Judge for Intelligent Validation

The LLM-as-Judge module validated extracted JSON outputs against source OCR data and provided reasoned error detection, enabling:

• Automated Validation of extracted data

• Detection of missing fields and schema mismatches

• Identification of semantic and mapping errors

• Categorization of errors for faster remediation

• Support for bulk correction workflows

Business Impact 

99% document-level extraction accuracy, improving from 97% and helping eliminate recurring data quality issues across high-volume document processing workflows.

2.5 lakh documents processed successfully, demonstrating the platform's ability to operate reliably at enterprise scale without compromising accuracy.

50,000 documents delivered every week, enabling them to maintain its delivery commitments and service-level agreements throughout the engagement.

Accuracy improvements achieved within just 3 weeks, accelerating time-to-value while minimizing disruption to ongoing operations.

Significantly reduced manual QC effort through automated error diagnosis, intelligent categorization, and bulk remediation of recurring extraction issues.

The elsai Advantage 

• AI-powered document extraction and validation 

• Reasoning-driven quality assurance with LLM-as-Judge 

• Faster error detection and remediation 

• Scalable processing for specialized document types 

• Enterprise-ready accuracy, reliability, and governance 

Collaboration with Unicus 

Unicus and elsai worked together to enhance our client's document extraction workflow while preserving existing delivery commitments. Unicus leveraged elsai Docloom and LLM-as-Judge capabilities to improve error detection, automate remediation, and streamline the handling of specialized document types. The partnership delivered measurable gains in both accuracy and operational efficiency. 

Discover how you can transform clinical study operations with elsai intelligent governance.

Let's build a solution tailored to your business needs. 

Talk to us →

Stay in touch with the pace of the AI industry with the latest resources from elsai

Get updates when new insights, blogs, and other resources are published, directly in your inbox.

Overview

A leading global provider of credit information, business intelligence, and risk management solutions. As part of its GIS engagement in the Philippines, our client processes large volumes of business documents that must be accurately extracted, validated, and mapped into client-defined JSON schemas.

Business Challenge

Despite an established extraction and quality control process, our client faced challenges in achieving higher accuracy and reducing manual review efforts, including:

01

Managing high-volume document extraction at scale

02

Improving document-level accuracy beyond 97%

03

Improving document-level accuracy beyond 97%

04

Reducing dependency on manual QC processes 

05

Handling specialized document types without 
impacting
delivery timelines 

elsai Solution 

To help improve extraction accuracy and streamline validation workflows, elsai deployed two complementary capabilities: Docloom and LLM-as-Judge.

LLM-as-Judge for Intelligent Validation

The LLM-as-Judge module validated extracted JSON outputs against source OCR data and provided reasoned error detection, enabling:

• Automated Validation of extracted data

• Detection of missing fields and schema mismatches

• Identification of semantic and mapping errors

• Categorization of errors for faster remediation

• Support for bulk correction workflows

Business Impact 

99% document-level extraction accuracy, improving from 97% and helping eliminate recurring data quality issues across high-volume document processing workflows.

2.5 lakh documents processed successfully, demonstrating the platform's ability to operate reliably at enterprise scale without compromising accuracy.

50,000 documents delivered every week, enabling them to maintain its delivery commitments and service-level agreements throughout the engagement.

Accuracy improvements achieved within just 3 weeks, accelerating time-to-value while minimizing disruption to ongoing operations.

Significantly reduced manual QC effort through automated error diagnosis, intelligent categorization, and bulk remediation of recurring extraction issues.

The elsai Advantage 

• AI-powered document extraction and validation 

• Reasoning-driven quality assurance with LLM-as-Judge 

• Faster error detection and remediation 

• Scalable processing for specialized document types 

• Enterprise-ready accuracy, reliability, and governance 

Collaboration with Unicus 

Unicus and elsai worked together to enhance our client's document extraction workflow while preserving existing delivery commitments. Unicus leveraged elsai Docloom and LLM-as-Judge capabilities to improve error detection, automate remediation, and streamline the handling of specialized document types. The partnership delivered measurable gains in both accuracy and operational efficiency. 

Discover how you can transform clinical study operations with elsai intelligent governance.

Let's build a solution tailored to your business needs. 

Talk to our experts →

elsai

Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.

Offices

USA

UK

Australia

UAE

India

© 2026 elsai. All rights reserved.

elsai

Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.

Offices

USA

UK

Australia

UAE

India

© 2026 elsai. All rights reserved.

elsai

Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.

Offices

USA

UK

Australia

UAE

India

© 2026 elsai. All rights reserved.

elsai

Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.

Offices

USA

UK

Australia

UAE

India

© 2026 elsai. All rights reserved.

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