Fivestar, a prominent financial services firm serving a wide range of clients, faces notable challenges in managing documents efficiently. The company encounters difficulties particularly when dealing with a combination of handwritten and digital documents. These challenges include inaccuracies in data entry, prolonged processing durations, complexities in document retrieval, compliance issues, and resource-intensive manual handling processes.

To address these obstacles and enhance operational effectiveness, Fivestar is seeking assistance from 1Cloudhub in pursuing a digital transformation initiative aimed at leveraging technology to streamline document management procedures.

Manual Effort: Transcribing handwritten documents into digital format required substantial manual effort. This labour-intensive process involved allocating significant manpower, resulting in increased operational costs and resource utilization. Moreover, the reliance on manual labour heightened the risk of inconsistencies and delays in document processing.

Data Entry Time: Comparing handwritten and digital documents manually prolonged the data entry process. The need to meticulously review each document for accuracy and consistency consumed valuable time, leading to delays in updating crucial information systems. Consequently, the prolonged data entry time hindered timely decision-making and adversely impacted operational efficiency.

Accuracy Concerns: Integrating handwritten and digital documents seamlessly within existing document management systems posed significant technical challenges. Incompatibilities between different formats and data structures hindered efficient data extraction and processing.

Scalability Constraints: As Fivestar’s business expanded and document volumes grew, the scalability limitations of manual document processing became increasingly evident. The existing manual processes struggled to accommodate the surge in document inflow, leading to bottlenecks and backlogs.

1Cloudhub has implemented the Document Comparator, a solution harnessing the Gen AI-powered AWS Textract and the Anthropic Claude 3 Sonnet LLM model through the Amazon Bedrock service to perform visual analysis, comparing digital documents with hand-scanned ones for highlighting discrepancies.

Automated Comparison: The system automates the comparison process, eliminating the need for manual transcription of handwritten documents into digital format. By leveraging Gen AI-powered technologies, this automation significantly reduces manual effort, streamlines operations, and enhances overall efficiency.

Quick Analysis: Utilizing advanced Generative AI models, the system swiftly analyses documents and highlights disparities between handwritten and digital versions. This rapid analysis expedites the data entry process, enabling quicker decision-making and enhancing organizational agility.

Error Identification: Leveraging Gen AI algorithms, the Document Comparator accurately identifies and displays errors in handwritten documents. By flagging discrepancies during the comparison process, the system ensures data accuracy and integrity, thereby mitigating risks associated with manual digitization and enhancing overall data quality.

Scalability and Flexibility: Built with scalability in mind, the platform can easily accommodate growing document volumes and changing business needs. It offers flexibility in terms of customization and integration with other systems, allowing for seamless expansion and adaptation to evolving requirements.

Services used

• Amazon Bedrock
• AWS Textract
• Elastic container service(ECS)
• Elastic container Registry(ECR)
• Load balancer
• Amazon Elastic compute cloud(EC2)
• AWS Lambda
• API gateway
• Virtual Private Cloud
• Relational Database Service
• CloudWatch
• Simple Storage Service
• Secrets Manager
• Key Management Service
• Amplify
• Simple Notification Service
• Simple Queue Service

Operational Efficiency: By automating the comparison process and reducing the need for manual transcription, the solution significantly increases productivity. Previously, an agent could process 20 documents, but now, with the automated system, they can handle 200 documents—an improvement of 100%. This efficiency enhancement leads to faster turnaround times, increased productivity, and cost savings for the organization.

Enhanced Decision-Making: The quick analysis capabilities of the solution enable organizations to rapidly identify discrepancies between handwritten and digital documents. Previously, this process took 30 minutes, but now it takes only 2 minutes—a 93% reduction in time. This accelerated insight facilitates faster decision-making processes, allowing businesses to respond more promptly to customer inquiries, regulatory requirements, and operational challenges.

Data Accuracy and Integrity: Leveraging Gen AI algorithms, the Document Comparator accurately identifies errors in handwritten documents, ensuring data accuracy and integrity throughout the document processing workflow. By mitigating the risks associated with manual digitization, the solution helps organizations maintain high-quality data, reduce errors, and improve overall data reliability.

Scalability and Adaptability: scalability enables organizations to scale their document processing capabilities seamlessly as their operations expand, without compromising performance or efficiency.
Cost Savings: By automating manual processes and minimizing errors, Fivestar has saved approximately $20,000 annually in labor costs. This cost reduction has positively impacted the company’s bottom line.

Outcome:

• Reduced manual effort, leading to faster document processing.
• Streamlined processes, resulting in increased productivity.
• Timely identification of document disparities for quicker resolutions.
• Enhanced responsiveness to customer inquiries and market changes.
• Minimized errors in document processing, reducing compliance risks and supporting accurate decision-making.