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RPA stands for Robotic Process Automation. Let us understand each word carefully before we move forward.
Robotic: An entity which is capable of being programmed for doing complex tasks on computer is known as Robot. In RPA terms we call it as Bot which mimics the actions of user.
Process: A sequence of steps, that lead to a meaningful outcome is known as process.
Automation: Happening of a task automatically i.e., without human intervention.
RPA: Mimicking human actions to perform sequence of steps that leads to a meaningful outcome, without human intervention is called RPA. It uses the latest software technologies to automatically handle computer tasks that are highly structured, routine, and repetitive. For tasks that are largely driven by rules, schedules, or events, a robot can take the wheel and get the job done. RPA has become an eye-catching technology to execute tasks automatically. It uses AI and ML technologies to adapt business benefits.
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According to McKinsey, automating business processes through RPA can lead to a Return on Investment of between 30% and 200% in the first year alone. A further 65% of companies reported that they are either planning to or are already automating mundane, repetitive tasks. McKinsey thinks that the impact of automation on the Future of Work is likely to be broad-based, with approximately 60% of all jobs having a significant 30% of their activities demonstrating the potential for automation. Regardless of whether you are a Multi-National Corporation or Small and Medium Enterprise, or if you are an entrepreneur or small business owner, you ought to know how you can leverage this technology at work.
The main motive of RPA is, to let humans do what they do the best. If we use robotic automation in business then it increases the productivity of the business and also because of great accuracy it gives the best quality of the product. Manpower can be used in any other challenging task.
We first start by conducting a careful study of what those people are doing on their computers. This kind of study helps you find out which of the many desktop processes are best suited for automation. Some examples include searching, cutting and pasting, updating the same data in multiple places, moving data around, collating, and making simple choices.
Desktop Analytics closely monitors your employee’s desktop activities and processes as they point, click, type, and navigate their way through applications and processes. Desktop Analytics uses its data-driven intelligent decision engine to identify processes that are the best candidates for RPA (optimal). You can’t hand off absolutely everything to a robot, but your human team can work hand-in-hand with the robotic workforce. This is the essence of desktop automation (also known as attended automation).
Robotic automation generally refers to server-based robots designed to automate complete processes, that don’t require any human judgment or intervention, in an unattended way. You’ll be pleased to know that even the process of picking ideal automation candidates has, itself, been automated to a certain extent. Not every human is going to respond with an immediate thumbs up. One needs to keep in mind that people have been using that system for who knows how long, they’ve been adapting to it and making the best of it, and they’ve got some significant professional and even emotional investment in it. The beauty of robotic process automation (RPA) is its ability to integrate with just about anything and everything to get its assigned task done. RPA recognizes each element by its properties and technology family, checking out its structure and hierarchy. Exactly where that element sits on the screen doesn’t particularly matter to the automation.
Process recording follows the steps that a user performs and translates them into a workflow designed to replicate those actions. As such, it can make process automation fast and easy. As the recorder watches the user at work, for example, can it tell whether the user has paused for a specific reason or whether it’s just a typical human delay? Design-based automation creation is much more detailed, requires more planning, and may involve more people collaborating.
Another aspect to consider is what’s known as exception handling. RPA works well because the robots know how to follow the rules but of course, it’s common knowledge that all rules have exceptions. Solid automation includes well-thought-out exceptional handling, so the robot knows what to do when the process doesn’t follow the rules.
Exceptions are of two types:
Business Exceptions: It happens when a process encounters some variation from the normal business process that the automation has been described to carry out. For example, if the robot comes across some data that is different from the usual data. It just pauses the task and flags it. The task that is flagged is handed over to a human employee to take a necessary step. After the problem is solved, the automation kicks back into action.
System Exception: It is a technical exception. It includes the failure of a particular process due to some reason. For example, take the steps involved in installing a particular application, if a new dialog box pops up, the robot does not know what to do.
LokiBots is intelligent enough to tackle system exceptions and complete the process without any hindrances. Humans look at the screen, recognize the elements by what they look like and how they’re labelled, and interact accordingly. RPA recognizes each element by its properties and technology family, checking out its structure and hierarchy. Where exactly that element sits on the screen doesn’t particularly matter to the automation. LokiBots uses Computer Vision technology to find out where the person has clicked during the demonstration. Even if the location of the icon changes, our bot will be able to identify the icon wherever it is on the screen and performs the click action.
In LokiBots, a user needs to just demonstrate the process he usually does and the bot follows the steps that a user performs and translates them into a workflow designed to replicate those actions. As the recorder watches the user at work, for example, can it tell whether the user has paused for a specific reason — or whether it’s just a typical human delay? Either way, the bot captures the delay and this pause time can be reduced on the fly in the LokiBots platform. Waiting sense is another concept in LokiBots where, if a page is not loaded, the bot intelligently waits until the page gets loaded (even if the user didn’t give a pause time during the demonstration).
Task Bot: This bot does the front-end automation. It performs rule-based, repetitive tasks.
Meta Bot: If there is any change in the layout of the interface, this bot updates by making minimal changes to the bot.
IQ Bot: This is the bot that does the learning thing. It continuously learns to enhance process automation. It is used in managing fuzzy rules.
FOR: Front Office Robots are the bots that need humans to trigger/schedule them. These bots are also called Attended Bots in typical automation language.
BOR: Back Office Robots are the bots that do not need humans to trigger them, for example, they can be triggered by a server.
To make it simple: 1 LokiBots = Task Bot + Meta Bot + IQ Bot + FOR + BOR
Human Efforts: RPA saves human efforts as the process is totally automated and software bots can work without rest.
Improves Accuracy: Software bots avoid the possibility of errors and improve accuracy.
Scalability of Operations: RPA reduces cost and can handle large operations without any extra resources.
Quality Service: The time, cost, and quality benefits of RPA increase the consistency of the service.
Multitasking: LokiBots provides Virtual Machine (VM) for every user. Bot executes on VM and user can work on other tasks at hand in his/her device.
