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GenAI-Powered Data Workflow Processing

Redefine Document Management with Precision & Efficiency

Overview

Putting AI to Work: Transform Your Document Workflow

Innova’s AI-Driven Document Workflow solution represents a paradigm shift in document processing, utilizing advanced AI models to deliver superior operational efficiency, accuracy, and scalability. Purpose-built for organizations seeking to modernize their workflows, this solution seamlessly integrates with existing systems while setting a new standard for performance and adaptability.

At its core, the solution leverages Anthropic Claude models deployed on Amazon Bedrock, a serverless architecture designed to dynamically scale with business needs. This cutting-edge framework eliminates manual bottlenecks, accelerates document processing pipelines, and ensures the highest levels of precision in data extraction and validation.

Engineered for forward-looking enterprises, Innova’s AI-Driven Document Workflow solution combines state-of-the-art artificial intelligence with domain expertise to unlock transformational value.

Features

Prompt-Based Data Extraction

Easily define the specific data you need using intuitive prompts. Powered by the Anthropic Claude 3 Haiku model, this solution processes documents and delivers precise information, streamlining your workflow.

Larger File Sizes & Documents

Manage files exceeding the 5 MB limit of the Anthropic Claude 3 Haiku model by integrating additional AWS services. Process PDFs and image files, including multipage documents, for scalable and comprehensive document handling.

Advanced NLP Capabilities

Extract data with precision, eliminating the need for complex post-processing or parsing. This solution ensures streamlined workflows, delivering efficiency beyond traditional OCR-based methods.

Customizable Rules

Set customizable rules to trigger human review processes, ensuring your workflows meet accuracy and compliance requirements.

Approach

How It Works

Workflow Initiation

Extracts individual pages from a multi-page PDF document using the AWS Step Functions

Concurrent Processing

Processes multiple pages concurrently by utilizing the Map state and Amazon Bedrock API

Data Validation

Validates the extracted data against predefined business rules

Human Review

Routes documents to Amazon A2I for human review if validation fails, allowing reviewers to verify the extracted results

Completion

After review, the state machine resumes with a callback task token, and the final output is stored in a DynamoDB table

Use Cases

Healthcare: Patient Records Management
  • Workflow: Healthcare providers scan multipage medical records or patient histories. The serverless architecture extracts each page and processes them concurrently to capture critical information such as patient demographics, medical history, and diagnoses. This data is validated against data quality rules.
  • Human Review: If the automated extraction process identifies incomplete, incorrect, or erroneous data, the document is flagged for human review. Medical staff or administrative personnel use the Amazon A2I UI to verify and correct the information
  • Outcome: Verified and accurate patient records are stored in Amazon DynamoDB and integrated with Electronic Health Records (EHR) systems for efficient management and further processing
Legal: Contract Analysis
  • Workflow: Law firms process multipage contracts and legal documents. The serverless architecture extracts each page and processes them concurrently to identify key details such as clauses, terms, and signatures
  • Human Review: If anomalies are detected or key legal terms are not accurately extracted (e.g., missing clauses or incorrect dates), the document is flagged for review. Legal experts use the Amazon A2I UI to validate and correct the data
  • Outcome: Validated contract data is stored in DynamoDB, ensuring accessibility for integration with contract management systems or legal analytics tools
Finance: Invoice Processing
  • Workflow: Financial institutions and accounts payable departments process multipage invoices. The system extracts details such as amounts, dates, and vendor information, processing each page concurrently
  • Human Review: If extracted data fails validation rules or presents discrepancies (e.g., mismatched amounts or vendor names), the invoice is flagged for review. Finance team members use the Amazon A2I UI to verify and correct the data
  • Outcome: Verified invoice details are stored in DynamoDB for integration with financial systems, enabling efficient payment processing and record-keeping
Government: Grant Application Processing
  • Workflow: Government agencies process multipage grant applications. The serverless architecture extracts and processes each page to capture essential information, including applicant details, project specifics, and financial data
  • Human Review: Applications with discrepancies or incomplete information are flagged for review. Reviewers use the Amazon A2I UI to verify and finalize the data
  • Outcome: Verified grant application data is stored in DynamoDB, ready for evaluation and decision-making
Education: Student Records Management
  • Workflow: Educational institutions handle multipage student records and transcripts. The system extracts and processes each page to capture essential details such as student information, grades, and academic history.
  • Human Review: When data extraction issues arise—such as unreadable text or missing grades—the system flags the records for review. Administrative staff use the Amazon A2I UI to resolve discrepancies
  • Outcome: Verified student records are stored in DynamoDB and integrated with student information systems or academic reporting tools
Insurance: Claims Processing
  • Workflow: Insurance companies process multipage claims documents. The system extracts and processes data from each page, capturing details such as claim information, policy numbers, and incident descriptions
  • Human Review: In cases of inconsistent or ambiguous data, claims adjusters review and resolve the issues using the Amazon A2I UI
  • Outcome: Validated claims data is stored in DynamoDB, ensuring seamless integration with claims management systems for informed decision-making

The Innova Edge

Technology Expertise

Leverage deep knowledge in AI-driven document processing and AWS services

Innovation

Employ AI technologies to provide advanced, tailored solutions

Customer-Centric Approach

Align solutions with your business requirements ensuring exceptional outcomes

Proven Track Record

Demonstrate reliability & expertise through successful implementations across industries

Ready to Innovate with Us?

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