Unleash the Power of Automation: Document Understanding and Orchestrators

Tired of manual document processing?

Orchestrators and document understanding are a powerful combination for automating tasks that involve processing documents. Here's a breakdown of their roles in real-world projects

Document Understanding (DU)

• What it does:?DU extracts and interprets information from various documents, including invoices, contracts, emails, and more. It can handle structured (e.g., forms), semi-structured (e.g., invoices), and unstructured documents (e.g., emails).
• Real-world project example:?An insurance company uses DU to automatically process customer claims. The DU model can extract key information like policy number, date of claim, and damage details from submitted documents, reducing manual data entry and speeding up claim processing.

Orchestrators

• What they do:?Orchestrators manage and automate workflows. They can trigger DU activities, handle exceptions, and integrate with other systems.
• How it works with DU:?Imagine a scenario where you receive hundreds of invoices daily. The orchestrator would: Pick up invoices from a designated folder. Trigger the DU process for each invoice. Capture the extracted data (e.g., invoice amount, vendor details). Store the data in a database or trigger further actions (e.g., initiate payment process).
• Real-world project example:?A bank uses an orchestrator to automate loan application processing. The orchestrator fetches customer documents, triggers DU to extract relevant data (income, employment details), and integrates with credit bureaus for verification. This automates a significant part of the loan processing workflow.

Together they can:

1. Process documents automatically
2. Extract relevant data (invoice amounts, customer names etc.)
3. Trigger actions based on extracted data (payment approvals, application assessments)

Benefits of using them together

• Improved Efficiency:?Automating document processing with DU and orchestration significantly reduces manual effort and processing time.
• Reduced Errors:?DU minimizes human errors in data entry, leading to higher accuracy.
• Faster Processing:?Documents are processed much faster, leading to quicker turnaround times.
• Scalability:?The orchestration platform can handle high volumes of documents efficiently.

Examples of Orchestrator Platforms with DU capabilities:

• UiPath [UiPath Document Understanding ON docs.uipath.com]

By working together, document understanding and orchestrators can streamline document processing tasks across various industries, making workflows more efficient and accurate.

Let's discuss in the comments! Have you explored DU and Orchestrators in your projects?

#automation #documentprocessing #AI #machinelearning #productivity

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