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How We Scaled Loan Document Verification with Generative AI for Paramount Capital

Paramount Capital, a financial services provider, needed to simplify and scale their loan document verification process. Their manual-heavy approach lacked flexibility and slowed expansion, creating challenges in accuracy, scalability, and operational efficiency. With plans to grow from 5 clients to 150+ by 2026, they required an AI-powered solution to streamline verification and reduce manual overhead.

9,000–10,000

Loan documents processed monthly

150+

Clients targeted by 2026

0 custom training

Flexible verification enabled without retraining models

Streamlining warehouse operations with Azure Integration and Analytics

Industry

Financial Services

Service

Intelligent Document Processing

Tech Stack

Amazon Bedrock, AWS ECS, Amazon S3

Challenge: Manual-heavy document verification limited scalability

Paramount Capital processed 9,000–10,000 loan documents monthly, with ambitions to scale rapidly to over 150 clients by 2026. Their existing Amazon Textract setup came with significant constraints:

  • Required custom training for every new document type, limiting flexibility.
  • High manual effort in document validation, leading to operational overhead.
  • Scalability issues as document volume and client base continued to grow.

This rigid system hindered growth and risked slowing down client onboarding.

Solution: Generative AI-powered intelligent document processing

Our team at zeb implemented a flexible, scalable solution powered by AWS Generative AI services to automate document verification and improve accuracy.

AI-driven Document Verification
Implemented a Generative AI solution using Amazon Bedrock with Anthropic Claude to automate data extraction and comparison across varied document types.

Prompt Engineering with Confidence Scoring
Applied prompt engineering strategies and confidence scoring to ensure precise, reliable results, reducing the risk of inaccuracies.

Adaptable Architecture
Designed a flexible verification framework that eliminated the need for custom model training, supporting scalability and cost efficiency.

Benefits: Flexible, scalable, and efficient document verification

  • Document verification enabled without custom model training, improving adaptability.
  • Reduced manual effort and operational overhead for loan processing teams.
  • Prepared for expansion to 150+ clients by 2026 with a scalable system.
  • Improved accuracy and reliability through AI-driven validation.
  • Enhanced long-term cost efficiency as document volumes continue to grow.

Partner with zeb today

Paramount Capital’s transformation highlights how Generative AI can modernize document-heavy processes with accuracy, flexibility, and scalability. By removing the limitations of custom training and reducing manual effort, they are now positioned to expand confidently while maintaining operational efficiency.

Let’s connect and explore how we can help you prepare your business for the next stage of growth.

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