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How Mindex Helped Xerox Improve Document Search and Accessibility with AI
Xerox wanted to improve how users search and interact with large volumes of documents across its platform. As the platform evolved, managing and...
Mindex helped a financial services client improve financial statement processing by up to 600% using AI-powered document processing on AWS.
Using Amazon Bedrock, the solution automated financial data extraction from complex documents and increased processing capacity from 100 to more than 600 pages.
Accelerate access to transaction-level financial data while supporting increasingly large and complex financial documents.
Capture financial information from a wide range of bank and credit card statement formats.
Maintain the relationships between account information, balances, and transactions throughout the extraction process.
Convert unstructured financial documents into structured JSON output for analysis and investigation workflows.
Develop a cloud-based architecture capable of supporting future growth and increasing document volumes.
Mindex designed and implemented a serverless Intelligent Document Processing pipeline on AWS that automates document ingestion, classification, and financial data extraction.
Powered by Amazon Bedrock, the solution converts unstructured PDFs into structured data that can be used for downstream analysis and investigation workflows.
One of the primary technical challenges involved processing lengthy financial statements while preserving the context between accounts, balances, and transactions.
To address this, Mindex developed an architecture that intelligently segments large documents into manageable processing windows while maintaining data integrity throughout the extraction process. Built on AWS and Amazon Bedrock, the solution delivers reliable processing while preserving the context required for financial investigations.
The solution improved financial statement processing speeds by up to 600%, significantly reducing the time required to analyze large financial documents.
The solution expanded our client's ability to process individual financial statements from approximately 100 pages to more than 600 pages.
Documents exceeding 600 pages can now be processed in approximately two hours.
Using Amazon Bedrock, the solution transforms non-standard financial statements into structured JSON, enabling consistent transaction-level analysis across a wide variety of document formats.
The solution provides a scalable foundation for future automation initiatives while giving our client greater control over the document extraction process.
From Intelligent Document Processing to custom AI applications, Mindex helps organizations leverage AWS and generative AI technologies to solve complex business challenges, automate manual processes, and unlock greater value from their data.
Xerox wanted to improve how users search and interact with large volumes of documents across its platform. As the platform evolved, managing and...
1 min read
Xerox wanted to improve how users search and interact with large volumes of documents across its platform. As the platform evolved, managing and...
1 min read
1 min read
AWS just recently announced the general availability of Amazon Q, an AI-powered assistant designed to accelerate software development and unlock data...