In the ever-evolving digital transformation of the financial industry, document processing has emerged as a critical challenge for businesses. Manual handling of documents is time-consuming and can lead to human errors, delays, increased costs, and missed opportunities.
To help financial institutions minimize these risks and streamline work processes through automation and AI, we have developed a prebuilt solution that accelerates intelligent document processing and automation technology implementation.
Keep reading to gain a deeper comprehension of the technology behind intelligent document processing, what companies should look for in a solution, and how our proprietary AI-driven, AWS-based intelligent document automation solution, DP-ML (Document Processing-Machine Learning), has empowered finance companies to get ahead of the competition.
What to Look for in an AI-Driven Intelligent Document Automation Solution
Financial institutions who want to transform the way they process and analyze documents while gaining unparalleled accuracy, speed, and scalability should look for the following key features and benefits of an intelligent document processing solution:
- Comprehensive Document Processing: The solution handles both structured and unstructured data and supports various document types, including Know Your Customer (KYC) forms and Securities and Exchange Commission (SEC) filings.
- OCR and NLP Integration: Combining Optical Character Recognition (OCR) and Natural Language Processing (NLP), the solution reads and understands documents with remarkable precision, accurately extracting specific terms and words.
- Efficiency and Time Savings: Automating document processing tasks drastically reduces manual work, leading to faster document turnaround times and overall efficiency improvement.
- Enhanced Accuracy: AI technology minimizes human errors, resulting in higher data accuracy and reliability that is essential for making informed business decisions.
- Scalability: The solution is designed to handle large volumes of documents and effortlessly meet the demands of growing financial businesses.
- Customizable Workflows: The solution is tailored to meet the specific needs of every business, offering personalized document processing workflows.
AWS Services: The Backbone of Scalability and Reliability
Various AWS services can be leveraged to facilitate document extraction, analysis, and continuous improvement through human feedback to build a robust, scalable, and efficient document processing pipeline. Some of the essential AWS services we recommend include:
- Amazon Textract: The Optical Character Recognition (OCR) capabilities of Amazon Textract allow the solution to extract text from scanned images, PDFs, or screenshots, converting them into machine-readable data.
- Amazon Comprehend: This Natural Language Processing (NLP) service analyzes the extracted text and performs document classification while enabling deeper insights and enhanced document understanding.
- Amazon Simple Storage Service (Amazon S3): Incoming documents are securely saved in an Amazon S3 bucket, ensuring reliable storage and easy accessibility.
- AWS Lambda functions: Automatically triggered to handle document processing tasks, orchestrate the workflow, and automate document processing.
- Amazon CloudWatch: Utilized to monitor the data extraction process, including the use of Data Extraction Dashboards for insightful analytics.
Additionally, video and audio recordings can be processed, so data scientists can identify patterns and trends like they do with processed documents. Other AWS technologies to consider for this include:
- Amazon Transcribe: Takes customer interaction recordings and provides a text output.
- Amazon Translate: Translates recorded customer conversations to English or any other language, fitting the data set better.
Predefined Workflows: Making the Solution More Efficient Out of the Box
To make it more efficient and valuable, we have developed an AWS-based version of our DP-ML solution to deliver a collection of predefined sample workflows that simplify intelligent document automation while implementing the capabilities of Amazon Cloud Development Kit (CDK) Constructs.
- Document Splitter Workflow enables the splitting of documents into individual pages, allowing classification and parallel processing of each page or page group.
- Advanced Spacy Classification utilizes Comprehend for classification and enables intelligent routing of documents based on their types.
- Synchronous and Asynchronous Document Processing Flows demonstrate the power of Textract's DetectText application programming interface for optical character recognition output and offer both synchronous and asynchronous processing options.
- Sample Insurance Document Flows specifically address the insurance industry’s unique document processing requirements.
- Analyze ID and Analyze Expense showcase how to call the Textract, AnalyzeID, and AnalyzeExpense APIs for specialized document processing tasks.
- Sample Workflows with AWS Search and AWS Kendra illustrate how to integrate AWS Search and AWS Kendra for efficient document indexing and retrieval.
These predefined sample workflows will help to accelerate the implementation of customized workflows tailored to specific use cases and give businesses a head start in automating their document processing operations.
Intelligent Document Automation Specifically for Finance
The DP-ML solution was designed specifically for the financial industry and is based on years of experience partnering with various companies in the field. The DataArt team of experts has in-depth financial statement processing domain knowledge, allowing us to craft the document workflow while meeting all the industry requirements.
We can help businesses extract critical financial indicators and data points through advanced entity recognition while enabling accurate financial statement analysis. Moreover, our solution is designed to ensure compliance with regulatory standards by seamlessly integrating all the necessary checks into the document processing pipeline.
Our Proven Process for Executing an AI-Driven Intelligent Document Automation Solution
- Assessment: We comprehensively assess the client's document processing requirements to gather essential information and understand their specific needs.
- CDK Solution Template Customization: By leveraging the AWS Cloud Development Kit (CDK), we customize the solution template to align with the client's unique requirements and select appropriate AWS services and configurations.
- Pilot Deployment and Implementation: Before full-scale implementation, we conduct a pilot deployment to validate the solution's effectiveness and gather feedback from key stakeholders.
- Detailed Requirements Gathering for Target Implementation: We gather detailed requirements, including Identity and Access Management (IAM) implementation and document repository setup.
- Solution Implementation and Delivery: We deploy the customized CDK template and the intelligent document automation solution in the client's AWS environment while conducting rigorous testing and providing comprehensive documentation and training.
- Post-Deployment Support: We offer ongoing post-deployment support and maintenance services to continuously optimize the intelligent document automation solution based on feedback and evolving business needs.
Real-World Success: DataArt's Intelligent Document Automation in Action
Our AI-driven intelligent document automation solution has proven its efficiency in helping numerous businesses in the finance industry. One of our notable success stories is a partnership with a Northern American financial company that offers consumer credits. The intelligent document automation solution facilitated faster document reviews by automating the processing of 17 different file types. The solution allowed file processing within the client’s banking system 24/7 with high accuracy and efficiency.
We also collaborated with one of the largest global banks to address the inefficient and error-prone manual request classification. Our intelligent document automation solution was integrated into the bank's system and successfully automated the processing of various request types with remarkable accuracy.
Unlock Your True Potential
Now that you have read this blog post, you have the needed knowledge of how to build an intelligent document automation solution on AWS. DataArt’s solution, DP-ML, embodies years of industry expertise, the latest AI technologies, and the power of the most suitable AWS services to help financial businesses reach their true potential.
Ready to streamline your document handling processes, save time, reduce errors, and improve overall efficiency? Explore our recent webinar, where we demo the solution, and get in touch with us today to learn how we can help you achieve your financial business success.
