What Is RPA
or Robotic Process Automation

What is RPA?

RPA is an automation technology that allows you to get rid of repetitive tasks in a digital environment. To do so, it employs bots, software programs that are trained to mimic human employees’ actions to perform various assignments. These can be data entry in CRM systems, automated invoicing, text recognition, and more.

The key elements of RPA can be found in the abbreviation.

This means that a special algorithm, or a software bot, executes a task. Just like an industrial robot that follows a built-in script to assemble a car, an RPA bot follows a predetermined set of rules to emulate user interactions. For example, it can distribute incoming support tickets among the support team.

This is a sequence of steps that a user performs to accomplish a task. For example, say a support manager needs to handle all the incoming inquiries. They open each inquiry, label them according to the type, send premade responses to the most common ones, and assign some of them which require extra attention to the proper teammates. In the case of RPA, the sequence described above is used to create a scenario for a bot that will perform the task instead of the real person.

When done properly, RPA is a powerful technology to augment your human resources, enhance the customer experience, and boost digital transformation.

What’s an RPA bot and
what can it do?

Bots are at work.

RPA bots are software robots that are often addressed as a digital workforce. From a business perspective, an RPA bot is pretty similar to a regular human employee who works behind a computer. If you use an app that is licensed by the number of seats, the bot will take one of them.

For example, ElectroNeek’s marketers use Andy, a bot that collects weekly stats from analytics systems and CRM to streamline cross-system tracking and prepare reports for executives. A live person would spend a couple of workdays on this, but it takes Andy just five minutes to prepare everything.

So, what can RPA bots actually do?

The tasks outlined above may seem like they mostly cover clerical and administrative functions, and that’s the point. The goal of automation is to optimize the efficiency of employees and help them focus on more meaningful and interesting aspects of their jobs.

Does RPA have anything to do with artificial intelligence? Are they the same?

RPA and artificial intelligence (AI) aren’t the same. While a typical RPA bot is a workhorse that carries out linear tasks by mimicking human actions, AI is used to develop an intelligent system that “thinks” for itself. It analyzes huge amounts of data, detects patterns and correlations, and uses these findings to make presumptions. For example, developers of chatbots feed them tons of example dialogues to teach them to conduct lifelike communication with people.

However, as AI becomes more accessible, it’s often used in combination with RPA software. Without AI, RPA can only process structured workflows and information. But with AI, RPA becomes more efficient, since now it can process unstructured data, such as freeform correspondence, voice messages (using natural language processing), and images, just to name a few.

Where can RPA be used?

There are many use cases of RPA for different industries, such as finance, insurance, and healthcare. Still, it’d be wrong to limit RPA technology to a couple of industries, as even within a single company there are different departments that could benefit from business process automation. Let’s have a look at the areas where RPA tools have already proved themselves:

Wait, can’t my IT department do the same? What makes RPA a game changer?

As a matter of fact, if you have enough free engineering hands, your IT department can develop and implement automations without purchasing RPA software. However, RPA can be a helping hand for your team, and here’s why.

Nowadays, IT is present in all spheres of life. If it hasn’t reached some fields, it’ll definitely be there within 5–10 years at most. But there’s already a lack of developers in the world, they are expensive, and, to be realistic, they often prefer more challenging tasks than automating routines. Still, businesses need to solve this kind of problem all the time.

In addition to costs, there’s a common issue with communication between business people and engineering people. Say you have a company with a bunch of business processes and you want to automate some of the routine tasks.