Robotic Process Automation (RPA) is a computer-based technology in which machines use rule-based decisions to carry out tasks according to flowcharts. This leaves no human interpretation necessary for the task at hand.
RPA has proven itself to be a tool that can save organizations time, money, and is less likely than humans to make errors. Organizations have embraced the technology because robots perform certain tasks more quickly, accurately, and for longer periods of time compared with humans.
Robot workers are much faster than humans because they can do the same task repeatedly without getting tired or bored of doing that specific activity. It allows them to work for longer periods of time with no breaks. They save companies money by requiring less manpower throughout their shift. This in turn saves on expenses like salary paychecks, benefits, etc. Robots also make fewer mistakes when completing a repetitive job since there aren’t any distractions such as hunger pangs. This eliminates temptations completely.
Robotics are increasingly becoming an important part of our daily lives. This is particularly due to their flexibility and ability perform consistent operations with little or no supervision required from humans –this includes RPA. RPA uses software ‘bots’ that follow rules based on predetermined parameters set by technicians. This is simpler than any kind of Natural Language Processing (NLP) software development. NLP is typically used when creating bots under AI technologies like Machine Learning (ML) or deep learning.
To successfully implement RPA, you need a strong and clear vision that your implementation team will stand behind and stakeholders will buy into. The best way to create commitment is by involving the people who are involved with creating this type of technology. Afterward, provide human benefits resulting in customer benefits, which leads to business success.
But one of these 6 common myths will prevent organizations from making best use of the technology:
Myth 1: Many Bots Will Be Needed
Using RPA, a company does not need to own bots and can instead outsource its workforce. This allows companies of any size with the ability to scale up or down their workforce in accordance with success without owning costly equipment themselves.
Myth 2: Bots Will Eliminate Jobs
People are increasingly becoming more and more efficient with the use of bots, which allows companies to train their workforce for other tasks. Bots can be used as a tool by humans to complete tedious jobs that would take an extended amount of time. This then leaves workers free from those responsibilities so they can focus on higher-level thinking.
Myth 3: AI Bots Can Do All Human Work
AI can understand natural language and it can learn and recognize images, but it is still a long way off from replicating human intuition and reasoning. Many bot activities require routing certain tasks to humans.
Myth 4: Bots Make No Mistakes
Although bots are programmed to follow instructions exactly, if they’re given incorrect or unexpected data inputs (like faulty coordinates), then the bot might complete its task incorrectly. Though a bot does exactly what it’s told, if it is programmed incorrectly, it will carry out a task incorrectly a thousand times. If they’re given incorrect or unexpected data inputs (like faulty coordinates), then the bot might complete its task incorrectly.
Myth 5: RPA Eliminates Business Process Management (BPM)
The first step should be to discover your current business process and understand where automation can best fit. Think of it as a car driving down the road: BPM is building the road, while RPA drives itself on that same path.
Myth 6: RPA Eliminates IT Support
The bot is a virtual employee. It is vital to get IT involved early, as RPA heavily relies on them for deployment and management of bots. To use RPA, it is important that the company gets their IT team involved from an earlier stage in development. They can help with deploying your bots onto the system later down the line. If anything goes wrong after deploying these processes, then Digital Workforce Management comes into play, which helps manage those digital employees called “bots.”