Digital workers make work processes better. Many organizations today agree that rather than replace the human workforce, Robotic Process Automation (RPA) is in fact augmenting them to work to their full potential. New age technological advances are helping combine digital transformation technologies with robotic process automation to create new models of automation. Intelligent process automation is an advanced form of automation technology that combines digital transformation technologies like AI, machine learning, intelligent data capture, and business process automation with RPA to facilitate straight-through processing of different manual-and-paper-driven functions in the workplace.
Advanced cloud RPA platforms provide innovative AI-powered automation for carrying out repetitive tasks. Digital workers help mobilize and execute internal processes and workflows by repeating, running, and learning new tasks. This frees up a company’s valuable manpower resources to focus on more creative and innovative initiatives. Cloud hosted and AI-enabled robotic process automation essentially lowers the dependence on manpower to get work done, bringing in a level of efficiency and cost control not possible with mere human effort.
But a lot of the internal functions and processes run on data and this data usually comes in unstructured or semi-structured document formats. Advanced cloud RPA technology helps automate and mobilize critical business processes in various industries.
But a major aspect of running robotic process automation projects is getting access to the right data. For example, when applying workflow automation to manage insurance claims, the robotic process automation bots will need data from the medical claims forms, which are mostly unstructured or semi-structured document forms. The usual approach is to perform manual data entry to get all the data into the RPA application. Not only that, the data must be cleaned and processed, meaning it should be validated for authenticity and accuracy. This validation process entails cross-checking the provider and claimant details against database records and making sure the claims being processed are covered by the policy and also meet business rules. Manual data entry and document processing is time-consuming, laborious, and error-prone.
“...Automation Anywhere bots can engage Artsyl’s advanced document classification, data extraction, and data validation capabilities at any point in the RPA workflows to quickly authenticate the data needed to implement an RPA project. This significantly lowers the risk of working with bad data in instances where data authenticity and document verification become necessary during task execution by RPA bots...”
As is evident, there is a gap in automation from when data enters a company to when it can be used effectively in robotic process automation workflows. For the automation of insurance claims management to be successful, the RPA bots must have access to claims data at any point in the workflows. So far, many companies have been making this data available through manual work, which is slow and erroneous — delaying accurate data availability to the RPA application and impeding successful implementation of the RPA project.
Merely configuring intelligent RPA workflow logic to process complex tasks is not enough if your staff is spending countless hours processing documents to make data available for an automation project. What is needed is an intelligent tool that closes the gap in automation from when data enters an organization to when it can be reliably used in RPA projects. What you need is intelligent document processing to make data accessible and ready for use in RPA workflows.
An intelligent process automation platform embedded with digital transformation technologies solves this problem adequately by automating the most painful steps in document processing work — document sorting, data entry, and data validation. Artsyl does just that and more.
Artsyl’s intelligent process automation platform comes with advanced data capture and document classification technology to enable automatic data extraction and validation of incoming documents from multiple data sources in any format. Tight API-level integration of Artsyl with an advanced cloud RPA solution like Automation Anywhere helps lower the document processing challenges and costs that are incurred to make data available in RPA workflows.
With the API-level integration, Automation Anywhere bots can engage Artsyl’s advanced document classification, data extraction, and data validation capabilities at any point in the RPA workflows to quickly authenticate the data that the bots are going to use to implement the process at hand. This significantly lowers the risk of working with bad data in instances where data authenticity and document verification become necessary during task execution by RPA bots.
Apart from insurance claims management, there are limitless possibilities where this intelligent document processing technology could prove transformative including in RPA projects that handle accounts payable, account receivable, HR onboarding, government administrative work, customer service, and in the payments industry. Artsyl intelligent process automation technology has the capability to identify document types like between an invoice and purchase order, or between a sales order and bill of lading, and so on. So, at any point in the RPA workflows, one or more documents can be sent to Artsyl’s IPA platform to identify what type of document it is and perform automatic validation of that document.
The best part is a flexible user interface enables Automation Anywhere to pull up Artsyl’s data extraction and validation workspace screens at any point data validity is required in the RPA workflows. Read all about the Artsyl — Automation Anywhere integration.
Intelligent document processing helps accelerate RPA projects by providing a mechanism to authenticate data wherever it is required in the workflows. The chances of successfully implementing any RPA project is increased manifold as the risk of working with bad data is eliminated. This also increases the chances of applying cloud hosted robotic process automation to any number of diverse business processes that involve heavy, complex document processing work.