As the world enters the fourth industrial revolution, businesses of every size in every industry are seeking out new and innovative ways to increase efficiency and reduce costs. Sage advice has long held that repeatable, routine processes should be automated at scale to make those things happen. This is the ultimate goal of robotic process automation (RPA).
RPA refers to a subset of information technology designed to mimic the ways people interact with software to perform repetitive, high-volume tasks. This includes software programs that can log into other applications, enter data, make calculations, and complete tasks with little or no human intervention.
The first RPA systems relied entirely on preprogrammed commands to carry out simple tasks. However, today’s solutions introduce artificial intelligence and machine learning for capturing context and automating a wider range of processes, including much more complex ones. For example, the software might use natural language processing (NLP) to detect specific types of data, such as invoicing terms or names and addresses.
In this article, we will explore why RPA has grown in popularity and what it takes for businesses to implement it to their benefit.
RPA is the inevitable next step in the evolution of enterprise IT, where hyperconnectivity meets big data and artificial intelligence to streamline operations and drive better user experiences – all while reducing costs. Here are some of the ways RPA can improve your business:
Almost any organization in any industry can benefit from RPA systems, especially those that deal with multiple repetitive, high-volume workloads. Here are some examples:
The above are just some of the processes where RPA can be applied to fully automate tasks at virtually any scale. Some of these can be applied in any type of business too. For example, RPA is a powerful tool for customer service representatives in every industry, since it provides quick solutions for known problems, while escalating tickets that require human intervention.
Any data-heavy operation is a good potential candidate for RPA. For most businesses, finance is the most data-heavy department – one that traditionally demands a huge amount of data entry. However, RPA can automate myriad routine financial processes from payroll to invoice processing to sales orders.
It is a common misconception that technologies like RPA are going to take all our jobs. In fact, while automation is expected to render some 85 million jobs obsolete globally by 2025, it will also create 97 million new ones. That is an additional 12 million jobs!
Rather than fearing the rise of the machines, most businesses and their employees should be ready to embrace modern solutions like RPA as a way to augment their capabilities. Leaders can make more informed decisions based on data-driven insights. Customer service reps will be able to focus on support requests that require a human touch, rather than overburdening themselves with trivial matters. Procurement teams will be able to focus on their key strategic suppliers, instead of getting bogged down managing hundreds of smaller ones. Finance teams will be able to manage critical financial matters with the confidence of knowing that they have technology on their side to iron out any manual errors. The list goes on.
Robotic process automation offers a proven solution to some of the most pressing challenges today’s businesses face. That being said, implementing RPA isn’t something you can expect to achieve overnight.
A successful project requires hiring the right RPA developers. These highly-skilled and sought-after subject matter experts bring key problem-solving and critical-thinking skills to help identify specific business needs and design automated processes around them. RPA developers are also responsible for setting up, testing, monitoring, and maintaining automated workflows for ongoing quality assurance and continuous improvement.
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