Updated: Feb 17
Robotic Process Automation (RPA) is foundational to any automation strategy. It can provide immense value for you and your customers if implemented properly. It automates repeatable tasks for your users. RPA can go out and gather information from multiple sources. It can update multiple data storages. RPA is necessary if you are thinking about automating any part of your technology stack.
With RPA speeding up processing times and reducing costly errors, processing costs decline, and per-employee output increases. Common savings from these efficiency improvements fall between 25% and 50%. - Omid Aslani, Director, Commercial Product Management, 7 Biggest Benefits of RPA (Robotic Process Automation) 2020
However, stopping at just RPA would be a mistake. Robotics Process Automation is not a process orchestration engine. RPA bots only follow business rules. It can't make decisions based on variable information. Where RPA robots shine is when they follow concrete rules and do repeatable tasks.
More than RPA is needed to meet the demands placed on businesses operating in a digital world. Fluid markets and changing needs in the business environment require flexible technology stacks and highly customizable and robust strategies.
Resilient enterprises know they need to be agile in order to not only survive in this new world but to flourish in it. They must be able to identify and automate as many business processes as possible. The result is an end-to-end automation that utilizes all aspects of an intelligent business platform.
A couple of areas need to be discussed when talking about transitioning from just RPA to a smart business platform. A smart business platform involves automation intelligence (AI) and other automation technologies to achieve its goals. The goals, in this case, would be creating efficiency and effectiveness to greater value for you and your customers.
One of the first areas that an intelligent business platform can utilize technology is document and data intelligence. RPA can help with this by using robots to go out and gather information from external and/or internal sources. It succeeds when looking for structured content. However, artificial intelligence software that includes cognitive capture, machine learning, and natural language processing can take your solution to the next level because a lot of data still resides on documents.
Being able to tell what the document is and then define what is essential to it is what artificial intelligence is about. You need to quickly identify what a document is, where it goes, and what data is necessary to maximize your knowledge workers' efficiency and effectiveness. It is also no longer limited to just your standard document intake anymore. It still handles applications, invoices, claims forms, purchase orders, and other industry standard forms with ease. Still, it can also be involved in handling emails from dissatisfied customers so that organizations can act quickly to address any issues.
The second area where an innovative business platform can use technology to achieve its goals is process orchestration. Through process orchestration, technology can be utilized to create and maintain advanced workflows that will get your data and documents where they need to go. Process orchestration also makes it possible to synchronize all of the automated workflows so companies can scale and manage their digital workload.
Flexibly adapting your workflows to fit your business needs is essential when trying to stay competitive. Understanding the market and then adjusting to it requires a technology that is as well. Intelligent business platforms have to be able to take complex workflows and be able to adjust them on the fly. Good platforms can and do on a daily basis.
The third area where an intelligent business platform can solve problems is data silos. Disjointed and disorganized data points cause headaches for all industries. The integration of systems can be enabled by using pre-built connectors that will transform separate data entities into a network of intelligent technologies and services.
The key to moving beyond RPA is to infuse it with artificial intelligence (AI). Why? Because
almost all business processes rely on data, and as the old adage goes: "Garbage in, garbage out." In other words, inaccurate data can cause problems in processes and workflows that hurt your ability to deliver a high-quality customer experience, your bottom line, and even your ability to comply with regulations. - RPA is Not Enough, Kofax, Q1 2022
Now that we have some steps defined in your transition, it is crucial to find a company and a product that can meet all those areas. Tromba Technologies has decades of experience analyzing, designing, and implementing automation technologies. Our TrombaAI platform is built on Kofax TotalAgility, an industry leader in automation. It leverages cognitive capture with advanced workflows and robotic process automation right out of the box. Our design tool is a lot like Vizio in look and feels, so being able to adjust those workflows to meet ever-changing needs becomes simple to achieve. We also have the ability to integrate multiple different systems through web services, custom data connectors, or out-of-the-box data integration tools.
RPA is essential for any modern automation solution. Being able to tap into its powerful abilities provides your company with the ability to maximize your automation potential. However, RPA bots have limitations in what they can do when deployed as a standalone technology. The recommended application of RPA is where RPA is a piece of a holistic, intelligent automation strategy that uses advanced technologies like artificial intelligence to business processes and workflows.
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