Make Digital Worker as Your Colleague


Make Digital Worker as Your Colleague

Make Digital worker as your colleague

Business and society will continue to be rapidly digitized and virtualized. As we enter a new year, however, the need for sustainability, ever-increasing data volumes, and increasing compute and network speeds will help to recover the work as the primary drivers of digital transformation.

With growing technology, every organization is embracing automation. A robot is an entity that performs human actions without human intervention: It is an efficient method for achieving accuracy in the successful completion of a task. For a successful transformation, a comprehensive, end-to-end view of the automation opportunity is required. It should prioritize automation activities based on their business value, ease of implementation, and risk.

The RPA is a method for integrating automation and redistributing resources across future deployments. It reduces human efforts.  The task completion process is simplified by using automation of the various tasks, allowing businesses to utilize that time to complete other tasks. It contributes significantly to the market’s fierce competition by improving performance.

RPA combined with cognitive technologies such as Artificial Intelligence (AI), machine learning, speech recognition, and Natural Language Processing (NLP) can withstand extreme tasks and make decisions without human intervention. It instills in employees the fear of losing their jobs. The average knowledge employee cooperating on a back-office process is subjected to a slew of tedious, routine tasks for which they have no coding knowledge. Conventional automation necessitates programming and API knowledge in incorporating multiple systems on a single platform.

RPA does not require any programming skills or direct access to the application database. Traditional automation does not allow for as much customization as RPA does.

The most significant advantages of RPA are it is a no-code programming system. It has the ability to use information resources to improve employee productivity, spend less time waiting on IT, and devote more time to achieving business goals.

 RPA Blueprism

Reduced costs: No-code lets companies save time and money by waiting on IT to create business applications with conventional programming approaches.

Increased agility: Businesses will respond to emerging market conditions and business circumstances more quickly while better preparing for the future.

Decreased training: This reduces costs and shortens the time to value for business users, who can work at their own pace without having technical skills.

Better applications: No-code programming aids in the development of better applications which allows the user to make changes as needed for iterative improvements.

Integration ability: No-code platforms excel in integrating with a wide range of other platforms and systems by allowing complex steps much easier.

Faster development: No-code platforms help IT and business teams work together. It allows developers to create enterprise-grade applications based on their specifications.

RPA will undoubtedly impact different parts of the organization, including the front and back offices, but the number of jobs lost will not be the primary value proposition; cost savings will be a factor.  RPA handles many of the mundane, repetitive tasks that are typically assigned to employees. Still, the automation process requires human intervention. It is highly possible that it will affect segments of jobs and/or departments. But, it offers employees to be assigned higher-value tasks.

In recent years, RPA technologies have advanced significantly. It allows operations centers to achieve the high quality and stability required for sensitive, customer-facing processes.

SMEs, in particular, benefited from RPA by increasing employee and customer satisfaction. Automation of structured and repetitive processes across the organization increase productivity and rescue operation time. It drives market growth over the forecast period.

RPA will remain a hot market, earning a place in the toolkits of IT managers as an easy way to streamline various business operations and make better use of raw data. Forrester predicts that the RPA industry will grow from $250 million in 2016 to $2.9 billion in 2021. According to Grandview Research, the RPA automation market will be worth $25.56 billion by 2027!

Finally, RPA is not intended to replace human workers. In fact, it is intended to make humans’ working days easier and, in many cases, to change the work that people do.

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Traditional Automation v RPA – Who Wins?

Traditional Automation v RPA

It seems silly to classify technology as traditional or non-traditional, but that is where we are in the automation industry. Traditional automation is the automation of a repetitive task. While both traditional automation and RPA help to automate processes, traditional automation is found in enterprise production lines where parts are assembled. To conduct traditional automation processes, we require application integration at the database stage. It can take months to setup traditional automation process.

On the other hand, robotic process automation (RPA) is used when there are lots of repetitive and rule-based tasks to automate. It is a software and there are RPA tools that are used to create and integrate “robots” built in software that can replicate actions from human beings. These “robots” need a set of rules and pre-defined activities to conduct their tasks. They can be set up to execute many tasks and processes in a serial and logical order without any human intervention.

Let us look at the differences between RPA and traditional automation:


Traditional automation tools such as selenium can be used to automate any processes conducted in web-based applications. QTP on the other hand can be used to automate desktop applications as well as web applications. Load runner is used for performance test automation. Another example of traditional automation is that it helps to log in and log out of the work system everyday when enabled. Each tool under traditional automation serves a specific purpose.

However, RPA works differently to this. Using the RPA software, one can automate any function or process of the business. It works despite the platform being different, so unlike traditional automation, it does not need different platform-based tools. Just like traditional automation, RPA can automate tasks on the web applications, desktop applications, mobile applications and even mainframe applications. It can even automate tasks running on virtual machines. Perhaps there could be a version of RPA which could automate testing as well. A clear example of RPA is the automation of bank account creation. While most companies use back-office executives for this task, others use RPA.

Traditional automation vs RPA

How It Works

Traditional automation tools work on the data layer. They execute the instructions fed into the programme of the tool. They do not look to mimic any human actions like RPA. While RPA not only mimics human actions, but it is also capable of taking the decisions to perform actions once it learns the instructions given to it. RPA goes through the learning phase, after which it becomes capable of decision-making. The decisions are minor.

Programming and Domain Knowledge

In order to get traditional automation tools to work, its user needs to learn programming skills to automate the functions of the tools. Each automation tool is built using different programming languages and the user must be aware of them to use the tools. The user also needs to understand the language syntax. On the other hand, the user does not need to remember language syntax or have programming skills when using RPA. It is like following a flowchart where the user simply needs to understand the RPA functionality rather than any technical language.

For traditional automation, the user must also have domain knowledge of the functionality under testing conditions. Usually, a human tester will define all the scenarios of the automation and then a dedicated automation tester will write the script. This is also a human. Similarly, for RPA, user should have a strong base of understanding when it comes to processes and the domain itself. However, there is no separate person who will define the process and write the script.


Traditional automation cannot work on systems without the APIs to run them. RPA can. So, RPA “robots” can be created to fulfil certain needs that can be as specific as needed. Combining RPA with calendar, email clients, CRM and ERPs is a great way to synchronize information and generate automatic responses. So, in terms of customization, RPA wins!


RPA is used by businesses to eliminate the need to run boring and repetitive tasks by humans. When a bot does this repetitive work, humans are free to work on something that requires more skill, creativity, and effort. Indeed, RPAs can be used to eliminate errors and generate precise outcomes. Businesses can then focus on a better Return of Investment (ROI).

However, setting up RPA is going to cost way more than setting up traditional automation at the beginning. In the long run, the maintenance and effort needed to run these two clearly show that RPA is the cheaper option. In the long run, traditional automation costs much more than RPA.

Using Traditional Automation and RPA Wisely

While RPA looks like it comes out on top, it cannot fully replace traditional automation. RPA might be the better choice for a lot of applications, but traditional automation still has its place among niche systems and tasks. Traditional automation, for example, would help transfer files between systems more efficiently and quickly than RPA.

However, if a business needs to automate a process in their system such as data access, invoice creation and order processing, it can use RPA. This is because RPA works on the UI and helps desk job employees work faster and more efficiently. It can work 24×7, something that a human employee cannot do.

Hence, though RPA might look like the better option, traditional automation is not out of the running yet and it might never be.

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Boost top and bottom-line performance of your industry with RPA

Unlike traditional automation, which relies on instructive code, bots are skilled in using illustrative steps. RPA(Robotic process automation)  enables bots to adapt to changing conditions. Traditional automation cannot execute steps that are undefined in its code. Traditional automation, for example, would detect an error in a blank field when processing data in an excel sheet and would require human intervention. RPA bots would find out the problem and locate the missing data in the blank field. Bots interact with other applications regardless of the technology used. Once trained then they will continue to perform their action.

Gartner says, worldwide RPA Software Revenue (Millions of U.S. Dollars)

  2021 2020 2019
Revenue ($M) 1,888.1 1,579.5 1,411.1
Growth (%) 19.53 11.94 62.93

Source: Gartner

The global Business Process Automation (BPA) market is likely to be double between 2020 and 2025, rising from $9.5 million in 2020 to more than $18 million by the end of 2025. RPA is a key technology driving this growth.

Business transformation is no longer just a process-oriented endeavor. A truly resilient and self-improving enterprise automates all business areas from operations to people, culture, and system integration ensures long-term success. Initially, the RPA journey can seem complicated, but understanding the first steps in an RPA implementation will set you up to achieve success in automating the business process.

RPA employs an “outside-in” approach in which existing information systems are left untouched. Humans replaced agents rather than redesigning the system. RPA strives to be resistant to changes in the underlying information systems.

Robotic process automation is the best technology option for simple and effective streamlining functions. RPA provides a stopgap measure to avoid tactical bandages and costly disruption while extending the life of legacy systems and keeping up with technological transformation.

The healthcare, banking, and wealth management industries have begun to reap the benefits of RPA implementation. Utilities, manufacturing, hospitality, and mining are among the industries investing in RPA.

How to implement RPA in business processes is a big challenge in front of businesses. Let us understand its stages of implementation.

Analysis: The first step in adopting RPA is to select an area of your business process which you want to automate. As every process in the organization may not be appropriate for RPA implementation. This preliminary step determines which areas will benefit the most from RPA implementation.

Development: Then comes choosing the best vendor to implement this process. During this phase, invite RPA vendors to help you fine-tune your procurement strategy. As a proof of concept, many vendors will agree to demonstrate RPA in action on your chosen processes. These presentations should include a technical demo that focuses on the functionality found in each use case or the process that the RPA is replacing, allowing you to compare the various solutions.

Deployment:  After determining the best process for automation, the next step should be to find the right tool with the best features for implementing the automation solution. Install and start using it.

Support: If issues remain in the software bots, they are sent to the production environment and resolved.

Execution: Installing the updated robot on your computer or server, start giving instructions on how to complete a task. These instructions are known as training which does not require any programming skills or complex software configurations. The most common RPA training method is a screen capture. You have to complete a task once for the bot to capture steps and file directories. RPA is then ready to replicate these steps.

After following these subsequent steps, the organization will quickly start leveraging the benefits of RPA.


The global adoption of the RPA process has had a noticeable and positive impact on business productivity. RPA technology adoption is growing faster than ever before. It is still the best business service provider in the industry.

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RPA Assists you in Transforming Business Digitally

Robotic Process Automation

The years 2020-2021 acclaimed the start of an era that no one will soon forget. It also sparked renewed interest in robotic process automation as a must-have for businesses looking to thrive now and in the future. Let us understand the basics of RPA.

What is robotic process automation?

RPA is an emerging technology application that automates business processes by utilizing stored procedures and systematic inputs. Organizations can use RPA tools to configure software known as a robot to capture and interpret applications for data manipulation, transaction processing, response triggering, and communication with other digital systems. It mimics humans while interacting with digital systems and softwares. It facilitates the creation, deployment, and management of software. Also, it can understand what is on a screen, navigate the systems, identify-extract data, and carry out a variety of defined actions in business processes.

RPA in business process:

RPA provides bot services to organizations, which can reduce staffing costs and human error. Bots are typically low-cost and easy to set up, as they do not require custom software or extensive system integration. Enterprises can also boost their automation efforts by combining RPA with cognitive technologies like machine learning, speech recognition, and natural language processing, which automate higher-order tasks that previously required human perceptual and judgment abilities.

How is RPA replacing humans?

Software robots, rather than humans, perform repetitive and low-value tasks such as logging into applications and systems, moving files and copying folders, extracting and inserting data, filling out forms, and completing routine analyses and reports. Advanced robots can even perform cognitive tasks such as participating in chats and conversations, interpreting the text, comprehending unstructured data, and making complex decisions using advanced machine learning models. When robots perform these repetitive, high-volume tasks, humans are free to focus on what they do the best and enjoy the most: innovating, collaborating, creating, and interacting with customers. Enterprises benefit as well, with increased productivity, efficiency, and resilience.

Benefits of implementing RPA:

  • Cost-saving
  • Great resilience
  • Boost productivity with happier employees
  • Improve compliance with increased operational security
  • Improve the customer experience and ensure good ROI
  • Organizing and processing complex data and eliminate manual errors

RPA, as a stand-alone solution, supports structured data-based automation. Organizations are looking to include data from unstructured sources as they seek to expand the variety of processes they automate (like scanned documents, emails, and letters).

Here comes sophisticated cognitive solutions with RPA into play. RPA solutions can unlock value for an array of organizations in a wide range of domains, such as:

  • Data entry and validation
  • File and data manipulation
  • Automated formatting
  • Message creation in a variety of formats
  • Using web scraping
  • Text exploration uploading and exporting files
  • Downloading and importing
  • Workflow acceleration
  • Currency/exchange rate processing
  • Reconciliations
  • Establish a business relationship

Revenue from Robotic Process Automation (RPA) increased by approximately 25% over the previous year. Organizations are making significant investments in the growing RPA trends that indicate digital transformation.

Growing trends of RPA

Vendor Differentiation: The development of software bots is a current trend to develop new products. Strategic transformation necessitates the identification of vendors with whom you can form long-term alliances. As a result, one of the hottest RPA trends is differentiation.

Digitalizing manual work: RPA trends are shifting toward intelligent bots for online data extraction, filing, and processing. The virtual workforce of bots could be on its way to eliminate paper invoices, client forms, and anything else that could go missing in the office. The pre-programmed bots will ensure that the enterprise’s paperwork will be minimum. It will also increase productivity for mundane paperwork-related tasks.

RPA and cloud deployment: RPA cloud deployment enables businesses to process data on the fly, meaning that they can virtually construct an RPA infrastructure and deploy bots. In essence, cloud technology will become a source for self-driven bots capable of performing multiple functions within the same data. Cloud bots are available from vendors, which can help to reduce the cost of physical infrastructure.

RPA integration with ERP: Better customer experiences would result from the integration of ERP and RPA. Companies can deploy continuous triggers for one task to another using a centralized data source. The entire process will be seamless, making it easier to streamline automation activities. Furthermore, the employees would have access to the processed data without having to search multiple systems.

Intelligent automation: The next RPA game-changer is process automation. The combination of rule-based bots and machine learning algorithms will result in a radical overhaul of digital processes. Businesses can gain insights from repetitive tasks with RPA tools.

To summarise, RPA industry trends are rapidly emerging. As a result of the growing popularity of automation and its significant benefits. It is not a new concept now. Without a doubt, robotic automation has already influenced you and your organization in some way. However, it is said that nothing is more impacting than a well-timed idea, and the time has come to implement that idea in the form of RPA-powered transformation.

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