The Problem

Extracting value from documents can result in operational cost overrun, delayed insights, and errors.

Traditional approaches are time-consuming, prone to human error, and slow down decision-making. Organizations struggle to handle both structured and unstructured information efficiently, leading to:

• High operational costs due to manual data entry and validation.

• Inefficient workflows  caused by disparate systems and siloed data.

• Delayed insights that hinder strategic decision-making.

• Data quality issues arising from human error and inconsistent processing.
  

The Solution (IPA)

Analyze, process and transform documents into data intelligence and customized outcomes.

IPA  leverages Amazon Bedrock to automatically analyze and process diverse data types.

IPA seamlessly ingests digital documents, transforming them into structured, actionable data. By automating the extraction, interpretation of content, and business rules validation.

Use Cases:

• Invoice, Receipts and Complex Contracts Processing
• Client Onboarding and Loans Processing
• Insurance Claims Processing
• Legal Documentation Data Extraction and Analysis
• Customer Data Update
• Claims and Requests
• Post-Calling Analytics (Meeting Recording)
• All types of documents used in a business process