What is Robotic Process Automation?
Robotic Process Automation (RPA) is a game-changing technology that automates time consuming business processes. RPA uses “software robots” to automate much of the manual “hand work” involved in daily business, such as entering data, processing invoices, issuing purchasing orders and more.
RoboWorx’s technology emulates the interaction between humans and business applications. The robots can log into applications, open emails and attachments, connect to system APIs, scrape web data, navigate through menus, extract, copy and paste data, all resulting in the successful execution of tasks currently being performed by human workers.
What kind of Tasks?
You name it. Our Bots can do everything from payroll processing and account reconciliations to claims and underwriting processing and much, much more. The bots can quite literally replicate any task that a human being performs at their computer. The bots can run 24/7/365 at a 100% accuracy rate.
Some bots run unattended and will only require human intervention to assist with exceptions. Other bots run attended and will require your employees to play an important role in the process. They will help set up the automated processes, intervene when there is an exception and oversee the overall process. But with a Robotic Process Automation system, your employees will have more time to perform higher-level strategic initiatives, and better serve your customers.
Automation Across your Organization
Why Choose RoboWorx
“In the first day of live operations, the robots were saving 51 hours each day or the equivalent of six people working an
Director of Customer Compliance Operations
Our Product Suite
Explore our Studio, Orchestrator and Robot products.
The easy way to design, deploy and monitor robots.
A powerful recorder will watch you perform your tasks and will literally mimic and build a robot that will perform those tasks automatically.
This is where the robots are deployed and managed, providing centralized logging, scheduling, reporting, auditing and more.
The robots get to work and start executing processes, either under supervision or autonomously. It’s
entirely up to you.
The RPA Cycle In Four Stages
The steadily increasing prevalence of Robotic Process Automation (RPA) in businesses has brought with it many benefits, from increasing productivity using current resources to improving job and customer satisfaction. Users across the board plan to continue using RPA with an expansion of its use in their businesses in the next few years. RPA describes a system of processes within an operation or task that moves from manual input to a digitized, automated process carried out by robots. In doing so, a company’s human workforce gains the freedom to focus on more complex intuitive problems where skills are most needed. The method of RPA within a business can be broken down into four distinct categories:
- Process Tracking + Reporting
- Rule Configuration
- Learning + Experience
- Predictive Reasoning
Within these four stages, process automation lays the groundwork for completing the process based on past data and then uses data collected to predict future outcomes to craft a more intuitive and accurate system. To better understand the stages of RPA, here is a closer look into their functions.
Before complex processes can be automated, users must create a series of simple processes to build a solid database. These simple processes order inputted data into a usable structure. Once in place, users can deploy more complex automation to extract, manipulate, and analyze. Building the database itself emphasizes the simplicity of the collection process. If more manual labor is required to build a database, such as manually scanning paper or additional repetitive keyed entry, automation will inversely affect RPA’s impact on a company’s system.
The initial setup of the system takes data and sorts it into structured formatting. Building a database in this first step may involve sorting data based on category or type in complex sets of values. No rules or actions are taken to move and manipulate that data occur in this stage. Instead, it simply involves the building of information and pieces needed to carry out more complex functions later on.
The second stage of RPA now implements rules and regulations to move and manipulate data. In this stage, applying rules to the data will require coding by a programmer, using APIs, and other programming tasks that give life and movement to the automated process. Rule configuration helps to automate the most simple and repetitive tasks within a process. Such tasks often include copy and paste functions within the database, not/or/and sorting, and if/then decision-making with the accrued data. By adding rules to the database through functions, users can now work with data and the databases for simple automation. In other words, these rules and regulations put the data accrued in step 1 to work.
Once an automated process goes live and begins to operate within the business, users can monitor functioning RPA bots through a workflow management system. As the automated processes begin to test and work through the accrued data, functions that do not work within the given rules notify and alert users to address these areas in need of attention. From there, users can further configure and adapt the rules. In this stage, automated processes undergo a learning curve that help set in place more complex tasks for automation, such as copy and paste functions that distribute data from one system to another. Users may go back and forth between steps two and three as they refine an automated process.
After the initial learning curve, the RPA system can harness the powers of artificial intelligence (AI) to make some qualitative decisions that humans used to make within the process. More complex if/then decisions and not/or/and sorting across platforms can be conducted. Users can then implement boundaries into the system that address the errors picked up during the learning and experience stage. Further, this stage now helps humans to analyze the data by reading patterns within data behavior and using those patterns to predict future outcomes.
These four stages combine to form a full cycle of the RPA process that for many users will continue to reoccur as a company’s automated process network grows. Although the technology is in its early stages of roll-out, experts foresee the value of the automation market to reach a staggering $3B by 2020. These predictions include both new users implementing an RPA cycle within their businesses and existing users expanding their RPA network.
Just as new processes undergo a learning and experience stage, so is RPA undergoing its own learning curve within the market today. As we continue to accrue data on its use and functionality, we will begin to employ our own predictive reasoning capabilities to make qualitative decisions regarding its use. And yet even with the small amount of data we have today, with almost certainty we can predict that not only will RPA be an integral part of the future of business, but it may also be its lifeline.
“The NASA Shared Services Center (NSSC) has recently deployed the robotic processing automation (RPA) platform into production. The platform has met NASA security requirements, worked well during implementation, and both technical and administrative support has been outstanding.”
Pamela J. Wolfe
Chief, Enterprise Services Division
NASA Shared Services Center