In order to maximize an enterprise’s investment in robotic process automation (RPA), companies must improve the intelligence level of the robots by providing them with the ability to understand unstructured content such as images, text, and documents. If for example an electronic PDF format document is stored in a non-OCR, non-searchable format the robotic process will be unable to fully understand the content contained within the document. Our enterprise capture solutions greatly increase the intelligence of the RPA robot by providing it with content intelligence.
How Content Intelligence Benefits RPA Systems
Make RPA Robots Smarter
Our enterprise capture solutions greatly increase the intelligence level of RPA robots by providing them with searchable data and metadata from unstructured documents.
This is the big idea behind content intelligence. Content is inherently intelligent because of the data it contains but also as a function of the person reading and understanding the data. However, the sharing of the content isn’t useful unless it can be wholly presented to the RPA robot. Also, consider how many documents are archived in physical form in vaults which when made into electronic, searchable format could inform the RPA process with valuable data.
Accelerate Decision Making and Actions
Greatly increase the speed in making decisions and taking action inside the robotic process automation system.
Enterprise capture performs automated data extraction tasks within unstructured documents and transmits this data back to the RPA robot. Imagine a case where an RPA robot needs to locate a certain key value such as an account number within a document. This is where enterprise capture provides a crucial, time sensitive function as an alternative to a manual step requiring an operator to visually scan and locate the value from among rows and columns of other numerical data.
Increase the Efficiency of Data Flows via Documents
Make data flow though documents more efficient by adding intelligence to worker robots, making decisions more quickly, and increasing regulatory compliance.
These efficiencies are gained by making unstructured document information available to a worker robot.
``Commoditize`` the Data Extraction Process
Enterprise capture provides the means to “commoditize” the data extraction and OCR software within a company.
Anytime data extraction tasks are needed, the RPA software easily calls a pre-made, commercial off the shelf software (COTS) application which connects the enterprise capture software to the RPA system. Both the enterprise capture and the two-way connector to the RPA are ready to run COTS components ready to be configured for the next robotic process automation robot function.
ABBYY FlexiCapture Connector for Blue Prism Studio
This connector between Blue Prism and ABBYY FlexiCapture provides an easy way to pass documents to ABBYY for classification and extraction of data. It then delivers it back to the Blue Prism process and supports both straight through (unattended) and human assisted verification.
ABBYY FlexiCapture Connector for UiPath
The ABBYY FlexiCapture connector for UiPath design studio provides an easy way to pass documents from UiPath to ABBYY FlexiCapture for classification and extraction of data. It then delivers back the results including documents, data extracted from the documents, image snippets related to fields, and a link to the FlexiCapture web verification station for when human interaction is needed.
Email Workflow Use Case
The RPA robot receives an email with an attached document and passes it to ABBYY FlexiCapture via the ready to run software connector. Next, FlexiCapture classifies the document to determine the type, then extracts the required information from the document. Finally, FlexiCapture sends the extracted data back to the robot along with a text searchable version of the original email attachment.
Invoice Processing Use Case
The RPA robot collects invoice documents from a variety of sources and passes them to ABBYY FlexiCapture. FlexiCapture determines the vendor and business unit, then extracts the line items and total amount from each invoice. Finally, the invoice data and invoice document itself is sent back to the RPA process for approval of the invoice.