IndustryFinance
ServicesCloud Managed Services
We made a visible and
measurable impact to our
client's business
Faster document processing
40%
About the Client
A leading insurance company facing challenges with slow document processing and high operational costs. Their goal was to improve processing efficiency and reduce manual intervention to enhance customer satisfaction
The Problem
The company’s legacy infrastructure caused:
- Slow document processing, leading to customer service delays
- High operational costs due to manual processing
- Quality issues like poor image resolution and missing data, requiring frequent manual intervention
- Existing solutions failed to scale effectively or improve processing speed
Our Approach
Lauren Group deployed a serverless solution leveraging AWS to automate and optimize document processing:
- AWS Lambda – Scaled compute functions dynamically, responding to fluctuating document loads.
- Amazon S3 – Provided scalable, secure storage for document retrieval.
- Amazon Rekognition – Analyzed image quality and flagged poor-quality documents for manual review.
- AWS SQS – Managed message queues for seamless asynchronous processing.
- Amazon API Gateway – Enabled secure, real-time data sharing with internal systems.
- Amazon RDS for PostgreSQL – Managed metadata and document tracking, ensuring data integrity.
- AWS CloudFormation – Automated infrastructure provisioning, reducing setup time and errors
Tech Stacks Used
AWS Lambda
Amazon S3
Amazon Rekognition
AWS SQS
Amazon API Gateway
Amazon RDS (PostgreSQL)
AWS CloudFormation
The Result
- 40% Faster Processing: Automated workflows reduced processing time significantly.
- 5x Cost Savings: Serverless architecture reduced operational costs.
- Scalable and Reliable: Handled large volumes of documents without performance loss.
- Improved Customer Satisfaction: Faster and more accurate processing boosted client trust.