Extracting information from large scale documents and automating document processing flows

Extracting information from large scale documents and automating document processing flows

The problem in the customer domain

The problem in the customer domain

The problem in the customer domain

An environmental consulting services company has a large staff of expert consultants and project documents spanning many decades. Each project document is a PDF of potentially several hundred pages. As they make proposals in response to various RFPs, they need the ability to search the repository of project documents for relevant prior work, extract and summarize relevant information, and synthesize it into a new document. Currently, this process depends on memory among long-time employees to find relevant project work, and manual work to read, extract, and summarize the information. Each new RFP may require a slightly different document processing flow over the same data.

The requirements of AI agent automation

The requirements of AI agent automation

Instead of human effort for these tasks, AI agents should be able to make the project documents searchable, and automate the document processing flow.

The automated AI-agent-powered workflow

The automated AI-agent-powered workflow

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