Robotic Process Automation (RPA): What Is It and How to Make the Most of It?

The RPA acronym stands for robotic process automation. Technological advancements of this type have been revolutionizing businesses for a while already, and maybe your company would be interested in trying such software technology to improve manual processes too.

Robotic Process Automation (RPA) Meaning

Robotic process automation (RPA) is a technology that allows business users to employ computer vision and software robots that imitate human intervention. This is a more profound version of the business process automation tools and might not require human intervention at all. Such software robotics can work with apps and systems just as efficiently as humans but much faster.

Unlike real human workforce, solutions of this type never get tired and hardly make any mistakes. RPA technology is democratizing automation, making it easy to implement such processes into the existing systems. To integrate business process automation tools into their workflows, companies don't need to ask IT teams for support, make their staff members learn new skills, or update their IT infrastructures.

RPA became a successful technology since it can easily be integrated into an automated process that legacy systems. The reason is that many solutions that involve legacy systems do not provide accessible application programming interfaces (APIs). So, the best option is to implement PRA, which can also access information through such systems.

Is RPA Synonymous with AI and Intelligent process automation?

RPA technology is not the same as artificial intelligence. They are different, and they complement each other. RPA tools can be enhanced with the following artificial intelligence capabilities:

• Machine learning models

• Natural language processing

• Symbols and image recognition

Plus, AI can discover and predict new spheres of RPA opportunities. Intelligent process automation is more about the 'thinking' process when the RPA can be described as'ding'. AI technologies are meant to simulate human intelligence, and PRA implementations are created to perform repetitive tasks that require human skills.

How Do Software Developers Embrace Business Process Automation and RPA?

Developers of many popular software products introduce RPA technology either as add-ons or as standalone tools. For instance, Bitrix24 announced the addition of robotic process automation implementation in 2020.

Bitrix24 is a powerful and versatile system with automation software that over 10 million companies from all over the world rely on. Its business process management tools can help you perform complex tasks with the following functionality:

• The standard CRM application to manage human interactions and organize unstructured data with advanced technology

• Time management tools

• Task and project management tools

• In-build contact center

• Website Builder

• Analytical reports

• RPA software tools to help you automate workflows and repetitive processes

Bitrix24 comes in handy for companies of nearly any size and industry. The key benefits enable them to accelerate their existing systems, automate tasks, meet deadlines, and boost the productivity of all departments. Its developers continuously upgrade and improve the system to make it even more user-friendly and high-performing.

RPA automations in Bitrix24 are presented in a Kanban view. The users of this system are already used to the Kanban user interface: they work with it when managing tasks, projects, finance processes, and CRM.

Bitrix24 used to have a regular Workflows tool that allowed companies to automate processes. Now, you can create and manage workflows with the help of RPA solution. The process is very similar to working with automation software in tasks or CRM and consists of two simple steps:

1. Add stages of the workflow

2. Add actions to be performed at each stage

Let's consider an example when you would like to automate the process of ordering meals for your office with the aid of software robots:

1. Add two stages: "Get an approval by the supervisor" and "Transfer the funds to pay for the meals"

2. Ask the supervisor to approve or decline the offer at the first stage. Ask your financial department to transfer the funds or refuse to carry out the payment at the second stage.

You'll discover a selection of templates that you can use for your automated workflows. If needed, you can configure the settings of these templates.

To launch a new workflow, you create a new element at the initial stage of the Kanban. In the intuitive Bitrix24 interface, you can assign tasks and monitor their progress. You can supervise your own assignments or those created by your subordinates.

Bitrix24 is available as a cloud or on-premise solution. If you have the latter, you should install the robotic process automation technology following these steps:

1. Go to the Settings section

2. Click System settings

3. Click Modules

4. Find the module

5. Click Install

If you use the cloud version of Bitrix24, you don't need to do it.

Each time you create a new workflow, think of how you might want to fine-tune its settings. You have a right to decide who of your team members can start and amend the workflow, what actions can be performed on each step and so on.

RPA workflows are available for the subscribers of all Bitrix24 plans, including the free one. You might want to use this chance to appreciate the benefits of RPA implementation for your business without excessive expenses and start the automation journey with some additional cost savings.

Who Needs RPA Technology?

Today, the largest demand for robotic process automation software comes from the following industries:

• Finance and insurance — to automate governance, reconcile accounts, and process invoices.

• Supply chains — to automate data entry, predictive maintenance, and after-sales service support to minimize human error.

• Telecommunications — organizations rely on RPA technologies to configure new services and the associated billing systems for new accounts, as well as pull data from multiple systems when triaging equipment outages or predicting problems.

• Systems integrators — they need RPA to create vertical applications that enable businesses to adopt best practices of their spheres.

• Healthcare — businesses can better handle patient records, claims, client support, account management, billing, reporting, and analytics with advanced technologies.

• Human resources — RPA solution automates onboarding and offboarding, updating employee information and timesheet submission processes.

• Customer service — software robots automate contact center tasks, such as verifying e-signatures, uploading scanned documents, verifying information, and approving or rejecting applications.

Many other industries can use RPA implementations with intelligent automation to enhance the productivity of their business processes and maximize their revenues.

The Main Pros of RPA in Business Processes

Companies value implementing RPA because it enables them to automate repetitive tasks and achieve the following goals:

• Enhance the quality of their customer service

• Ensure regulatory compliance with various standards

• Accelerate business processes

• Digitize and audit process data, boosting the overall business efficiency

• Reduce manual and repetitive tasks

• Maximize the productivity of staff members

• Cut down expenses

Thanks to software bots, companies increase their employees' engagement, get more loyal customers, sell more products, and get larger revenues.

The Primary Cons of RPA

Robotic process automation (RPA) has a few shortcomings:

• Scalability. It might be challenging to scale RPA solutions since it takes a certain effort to control software bots and fine-tune their settings.

• Limited abilities. Experts have noticed that RPA bots remain efficient for as long as they need to make no more than 500 clicks, manipulate a maximum of five apps, and make five or fewer decisions. This principle is known as the "rule of five".

• Security. RPA tools might need to handle sensitive data. Companies might find themselves at risk if this data might be compromised.

• Limited resiliency. RPA bots might change in ways that their developers fail to anticipate.

• New QA requirements. To control the quality of the RPA bot, developers need to establish new QA standards.

• Privacy. An RPA software robot might need to deal with personally identifiable information. Businesses need to make sure that they comply with national data protection laws.

• Efficiency. RPA tools might need more time to complete tasks than AI-powered solutions with intelligent automation.

Over time, RPA developers and users should find ways of overcoming these disadvantages.

RPA Usage

RPA solutions come in handy for businesses that strive to achieve the following goals:

• Accelerate digital transformation efforts. 63% of global executives admit that RPA is a major component in digital transformation.

• Significantly cut down costs. Thanks to RPA, companies improve their KPIs and minimize their expenses.

• Have greater resilience. Robotic solutions can promptly respond to demand spikes and cope with a high workload.

• Improve their accuracy. RPA tools help companies eliminate human error and manual mistakes.

• Enhance compliance. RPA automation efforts help businesses to comply with regulations.

• Boost productivity. RPA increases the productivity of both human workers and companies.

• Let human staff members focus on high-priority tasks.

Thanks to achieving all these goals, robotic process automation makes people happy — both the employees and the customers.

The Most Well-Known RPA Vendors

Here are the most well-known vendors in the sphere of digital transformation and robotic process automation:

• ABBYY. It is probably the top brand in the OCR segment. Its products streamline back-office applications and extend automation opportunities to many business spheres.

• Automation Anywhere. It has developed an enterprise digital workforce platform that facilitates procure-to-pay, quote-to-cash, human resources, claims processing and other back-office processes.

• Blue Prism. It helps companies in regulated industries to automate processes and perform tasks with the help of desktop-aligned robots that are defined and managed centrally.

• Kryon. It offers full-cycle automation capabilities to extend the RPA potential (such as process mining, governance, and artificial intelligence modules)

• NICE. It has built a name for itself thanks to enhancing client service for companies. Now, it efficiently employs robotic process automation in this sphere.

• Pegasystems. This one used to specialize in business process management but has recently embraced RPA too.

• UiPath. Businesses rely on its open platform to automate their processes.

Many lesser-known companies also develop excellent RPA solutions.

The Essential Features of RPA Software

When choosing RPA tools, you should pay attention to the following parameters:

• Scalability. You should be able to manage and scale the solutions that you integrate into your workflows from a central control panel.

• Speed. It should take you no more than a few hours to design and test robotic processes.

• Reliability. You should install monitoring and analytical systems that will enable you to supervise the work of your robotic tools.

• Simplicity. The solutions that you're planning to use don't need to be complicated to be efficient. The more user-friendly they are, the less time and effort it will take your staff members to get used to them.

• Intelligence. The functionality of top tools is not limited to performing simple repetitive tasks. They can communicate with data sources and learn to increase their efficiency.

• Enterprise-class. This term means that the solutions you use should be highly reliable, easily manageable and ready for scaling.

• Governance. You should use solutions that will enable you to manage your bots' security credentials, assess privacy issues and detect errors or suspicious activities.

• Financial planning. You should have instruments that allow you to analyze bot usage, assess the ROI of your robotic solutions and calculate the viability of any other tools that you might want to integrate in the future.

Even small companies might prefer to embrace robotic process automation with the help of platforms and not separate tools that you integrate into your workflows one by one.

RPA for C-level Decision-Makers

Robotic process automation might make many modern jobs redundant. But at the same time, businesses will need more human professionals to supervise RPA solutions. C-level executives should be ready to face the following challenges:

• Ensure that business outcomes are achieved and governance policies are met

• Assume more accountability and revise their understanding of their leadership roles

• Admit the risks of using RPA solutions and think of ways of mitigating them

C-level executives should be aware of advancements in the robotic process automation sphere. They should be able to pick the optimal tools for their companies and learn how to make the most of them.

The Brief Historical Background of RPA

In the 1980s, macro technologies for automating manual tasks saw light. Many companies adopted them and built customized data-scraping apps to enhance their productivity. That laid the groundwork for robotic process automation. Around 2000, many developers of testing tools started to perceive automation as their top priority.

The RPA acronym was coined in 2012. In 2018, it became a buzzword across many industries thanks to the digital transformation breakthrough. Now, RPA is one of the fastest-growing varieties of enterprise application automation. The largest demand for it comes from businesses that feature various complex systems that need to smoothly interact with each other.

Hyperautomation Is the Future of the RPA Market

By 2024, the RPA market is expected to reach $5 billion. The most crucial challenge that companies need to overcome is the scaling of RPA. One of the possible solutions for this issue is hyperautomation.

Hyperautomation enables businesses to combine RPA with other types of automation instruments, such as:

• Low-code and no-code development solutions

• BPM solutions

• Decision engines

Robotic process automation can benefit from AI capabilities if it embraces IPA and cognitive automation modules. To identify new automations, companies need to resort to process and task mining. Once hyperautomation becomes commonplace, businesses should start to apply a strategic approach to identifying and generating new automation opportunities.

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