The complexity of unstructured data buried in documents can make it difficult to develop better business processes that use that data. Given limited human resources, it is a burden to process a large number of documents, such as medical records, annual accounts, and other documents. Companies have often developed tools for processing unstructured ad-hocs and managing different types of documents that are difficult to connect to automated business processes.
How Intelligent Document Processing (IDP) Works?
The task required for document processing is usually manual, repeated, and often not worthwhile for employees or for large orders. The task is to translate the contents of a document, whether physical or electronic, into something that is capable of action and makes sense.
In the digital age, companies are increasingly looking for technological solutions to streamline document processing. This is particularly relevant when an organization is assigned to process documents that would normally be based on human intelligence. In the case of RPA, however, intelligent meets document processing in the form of machine learning. As simple as this sentence may seem, it needs an explanation so that companies can truly understand why it is important on their path to digital transformation.
Intelligent Document Processing (IDP) benefits most from the fact that many jobs depend on people manually processing huge amounts of paperwork. The best technology in the class can be integrated into the document processing process, which simplifies the use of business users by eliminating the complexity of integration when there is a new document or a change in format. In addition to the abolition of rule-based automation software such as Excel and Word, it can also complement document processing. It can be combined with a document-based system in-house, which in turn helps to avoid human error, reduce operating costs and reduce document processing time.
Fully automated workflows such as RPA can offer significant benefits to the end-to-end business processes. One example is the customer ID KYC, known as "Customer Identification and Verification" (CIDC), a key part of many companies' business processes.
Intelligent Document Processing (IDP) promises to make automated processes, which include document creation, editing, and processing, as well as managing the required automated workflows, much more efficient and cost-effective - and effective. IDP can also enable employees to work remotely on the created, edited, or edited documents.
This gives companies the flexibility to allow people in this cycle to manage exceptions themselves. This gives companies the flexibility to deal with the exceptions of people in - loop and gives them the freedom to admit people outside of this loop.
How to Implement Intelligent Document Processing (IDP)?
If you are considering using an IDP solution to improve your business process and want to realize its full potential, we have a tutorial on extracting data from scanned receipts with OCR. In this tutorial, we will go through a number of AI-based techniques to extract data and improve the extraction results. Once the information is collected, the business application can take steps to create new business processes and manage the data by initiating data processing. The extraction step is carried out with the help of OCRD, which recognizes handwritten and printed characters and converts them into data.
Intelligent Document Processing (IDP) has become a critical capability for large organizations as RPA customers struggle to scale automation programs, most of which require processing large volumes of documents. Combined with the ability to expand their automation program, they can become critical capabilities for larger organizations. IDP goes beyond traditional capture solutions, including extracting and feeding data into workflows, removing people from the loop, reducing errors, and speeding up end-to-end business processes.
It doesn't require too complicated programming code, and it doesn't require one, so opt for process automation or robot software. The software offers a wide range of artificial intelligence-based functions such as machine learning and artificial neural networks, as well as data processing.
The RPA software can run smoothly on any operating system (OS) and can run smoothly on Windows, Mac OS, Linux, Android, and Windows Phone. Due to these factors, we believe that Gleematic will be the best software in the business, regardless of the corporate sector.
Written by Elsa Ajarwati
- Created on .