From RPA to Intelligent Automation

RPA Intelligent Automation

 

RPA – Robotic Process Automation is changing the way companies operate around the world. The global RPA market was worth $271 million in 2016, and in 2020 that number hit $2.5 billion, an enormous increase by any metric. By mimicking structured, repetitive, and rule-based processes and tasks that are carried out by employees, this innovative technology shows its strengths. This ability can be used in many business processes in various sectors. Along with the increasing spread of RPA, the integration of artificial intelligence (AI) into the corresponding RPA software offerings is also increasing. More and more processes can be automated and transformed. Intelligent automation promises more insights, financial benefits, customer experiences, and higher business value.

 

The two types of process automation: fully automated and partially automated

 

In robot-based process automation, a distinction is made between partially automated solutions on the one hand and fully automated solutions on the other. In general, the idea behind RPA is that the robots work through the processes independently so that there is as little human interaction as necessary.

 

  • Fully automated processes (unattended automation)

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With fully automated processes, the robot works completely independently without the need for human intervention or, depending on the scenario or context, only necessary in exceptional cases. The software robot carries out transaction-based activities and processes on a large scale fully automatically without human interaction, even if the employee is logged off from the system. This type of automation is often used for back-office systems when it comes to collecting, sorting, analyzing, and distributing large amounts of data to specific employees within an organization.

 

  • Partly automated processes (unattended automation)

With partial automation, the focus is on bot/human interaction in processes. In partially automated processes, the robot reacts like a digital assistant to the employee by taking on certain homogeneous tasks. His work is triggered by certain events, actions, or commands that an employee executes in a certain workflow. While full automation concentrates on independent processing with little human intervention, the idea behind partial automation is a cooperation with the employee, in which human actions are supported by smaller automated processes.

 

 

Intelligent automation for competitive business results

 

Leading RPA software providers are continuously working to make their solutions smarter. While conventional RPA technologies often require rule-based processes and therefore do not need to make decisions based on their own judgment, intelligent automation, a combination of AI and RPA, opens up completely new possibilities: Virtual robots or bots monitor transaction processing, take notes if necessary, draw conclusions and make predictions. You can even refine the process execution approach based on insights.

 

Many RPA vendors have invested heavily in developing native solutions in their workflow design modules for bots, and have partnered with other leading technology companies. In this way, they can offer numerous innovative functions for processes that can be automated using RPA – while increasing the potential for added value at the same time. For example, some existing manual processes require reading an email or a poorly scanned PDF document and performing certain actions based on the content – or inserting extracted data into a data visualization tool and predictive or prescriptive analysis. In such cases, the use of natural language processing, computer vision, intelligent optical character recognition, or even data analysis and visualization tools may be necessary. All of this is available through the leading intelligent RPA tools. Another application example: Intelligent automation detects anomalies by virtual robots reviewing large data sets of payments, invoices, medical records, or customer feedback and identifying outliers, patterns, or topics that ultimately influence decision-making.

 

Many executives are well aware of the benefits of intelligent automation and how it can be integrated into their business transformation. These intelligent systems can detect and produce vast amount of information and can automate entire processes or workflows while self-learning and adapting. Companies that are looking to implement an RPA program should think ahead and choose an RPA platform that offers cognitive capabilities, reusable elements, and comprehensive libraries that are compatible with multiple applications.

While some companies struggled with their investments in the past year, the COVID-19 pandemic has further increased the demand for strong RPA resources as part of the digitization of processes.
Companies moving from traditional RPA to intelligent automation implementations have normalized the optimization and standardization of processes and strengthened the collaboration between IT and business. Instead of concentrating on the automation of various routine tasks, an intelligent solution enables the use of bots for end-to-end business processes and the identification of automation candidates through task or process mining. In doing so, the appropriate solutions are able to understand the data read and improve their own performance over time.

 

RPA can accelerate digital transformation. However, the real future lies in intelligent automation. As RPA providers expand their native AI offerings and the integration of technology partnerships progresses, digital team members will be able to execute increasingly complex processes – which further increases the value of intelligent automation. Therefore, companies need to review all their options before implementing the right technology that can improve their overall operational efficiency and take their business performances to the next level.

 

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Accelerated Automation: RPA as a Service (RPAaaS)

RPA – Robotic Process Automation – is the automated processing of business processes by digital software robots. This technology beings its support in clearly structured, repetitive, and rule-based processes and tasks that are carried out by people. With RPA, companies can implement a level of precision in the processing of tasks that is often unattainable by human alone. In this robot-controlled process automation, the bots take over the roles and tasks of users and interact with other software systems. Almost half of all processes in companies can be automated with the help of RPA.

 

RPA as a Service is the easiest and fastest way to use the advantages of Robotic Process Automation (RPA). RPA as a service means companies can take advantage of the many benefits of RPA without the upfront cost, inconvenience, and maintenance of buying their own RPA technology or hiring in-house RPA developers. RPAaaS offers a selection of out-of-the-box RPA services and tools accessible through a monthly subscription in order to meet the needs of every business for quick and cost-effective intelligent automation.

Accelerated Automation RPA as a Service RPAaaS
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Every organization has different needs, timelines, and budgets, therefore, RPAaaS solves the problem of a lack of in-house development resources not only by providing the development platform but also by offering bookable, qualified RPA experts, such as, RPA business analysts, RPA developers, or RPA architects. Thanks to the model of resources that can be booked as required, load peaks can be flexibly balanced and the schedules for scaling bots can adhere. The main objective of RPAaaS is to reduce development and deployment costs and quickly and effectively meet the need for effective and reusable automation components.

 

The relocation of automation assets to the cloud opens up a way for financially constrained companies to tackle the planned business process automation or to scale existing automation approaches without having to hire qualified automation personnel and also by eliminating the need for infrastructure and maintenance.

 

Business continuity, supporting a distributed workforce or digital transformation, whatever the business goal is, with RPA as a service, a company does not need to purchase its own servers, licenses, or professional services. RPAaaS is therefore also suitable for companies that only plan to use it for a limited period of time. Because in this case, there is no point in purchasing expensive RPA technology that will no longer be used after a certain project has been completed.

Hyper-automation: The Future of Digital Transformation

When it comes to digitization processes in companies, there is more and more talk of hyper-automation. But what is it actually? For some it is just a comprehensive form of process optimization; for others, hyper-automation is the future strategic technology that is not to be ignored.

“Hyperautomation has shifted from an option to a condition of survival,” said Fabrizio Biscotti, research vice president at Gartner. “Organizations will require more IT and business process automation as they are forced to accelerate digital transformation plans in a post-COVID-19, digital-first world.”

 

Hyperautomation The Future of Digital Transformation

 

What actually is hyper-automation?

The term hyper-automation goes back to the market research company Gartner. This means a well-founded methodology for achieving tactical and strategic goals through the automation of business processes. Thus, Hyperautomation considers the automation of business processes on a large scale by combining a wide range of coordinated digital technologies.

According to Gartner, hyper-automation focuses on two aspects of business operations: The first is to automate whatever can be automated within an organization. The second is to combine different approaches, tools, and technologies to automate only individual tasks (RPA) but also complex processes with the help of artificial intelligence (AI), virtual assistants, and machine learning (ML).

 

How does hyper-automation work?

Hyperautomation is able to unlock maximum potential by combining a number of technologies that support each other and automate complex processes with unstructured data and a significant level of ambiguity. By using AI, ML, NLP, process mining, and intelligent technologies, the ability to discover processes independently is enhanced, and RPA bots are enabled to do much more than just perform the previous repetitive tasks.

Basically, hyper-automation takes on another level of human work. It’s not only a tool but a unified enterprise strategy or initiative with the ultimate goal of creating and optimizing end-to-end processes to achieve an even higher degree of automation that supports innovative new business propositions.

Hyperautomation only works if bots ultimately also perform the tasks that a machine learning (AI) has identified. Advanced artificial intelligence can better analyze unstructured data and implant it in an efficient workflow. With RPA being the fundamental part of hyper-automation, intelligent bots continue to process the data in hyper-automation and ultimately ensure that the work is done.

 

Benefits of hyper-automation

As already described, hyper-automation enables automation that goes beyond simple, repetitive process sections. With hyper-automation, comprehensive automation can cover even complex processes. Reducing costs and maximizing profits, but also conserving resources and designing a smart working environment are also considered as main benefits. When used correctly, hyper-automation leads to a higher degree of automation and higher productivity in the company. A significant increase in customer satisfaction can also be achieved by integrating the personalized customer service. The side-by-side collaboration of man and machine is the ultimate goal of hyper-automation.

 

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HR Process Management : Why should you invest in HR Automation?

What Is RPA and Digital Labor?

The global robotic process automation (RPA) market size was valued at USD 1.57 billion in 2020 and is expected to grow at a compound annual growth rate (CAGR) of 32.8% from 2021 to 2028. Different organizations in different sectors are increasingly challenged by the growing market competition due to the shift in technology and changing consumer preferences. Additionally, the shift in company business operations due to the pandemic is expected to favor market growth over the forecast period.

 

All these challenges in today’s professional life mean one thing: constant movement. This means today’s organizations are required to comply with complex administrative procedures. One major challenge is the requirement to regularly track and manage hundreds of Human Resource (HR) onboarding and offboarding.

Robotic Process Automation is a process automation technology that allows businesses and organizations to configure software Robots to carry out routine, rules-based computer tasks in a way similar to a human employee. Robots can fill out documents, read and send emails, enter data into business applications, and much more. The ideal RPA solution uses AI and ML to automate a vast range of high-volume and repetitive tasks that previously required humans to perform. Also, the top-ranking RPA technologies also incorporate a variety of AI components to facilitate the Robot carrying out human tasks.In performing robotic process automation, many think of the RPA software robot as the “arms and legs,” and the AI components as the “brain.”Analysts from McKinsey & Company have called RPA technology a “third arm” for HR organizations as it works with HR to amplify the department’s capacities.

 

HR Automation is multi-functional and can lead to many different benefits. Some benefits include Higher productivity due to faster processing times and information sharing. Reduced storage, printing, and courier costs associated with paper-based work environments. Reduced risk of non-compliance penalties. Fewer data entry errors and lost or misplaced files associated with manual processes. Better support of organizational growth through efficient hiring and leaner operational costs. Better collaboration with executives to recruit, train and retain top talent.  More time to analyze HR data to make intelligent business decisions.

 

Before automation the Human Resource Management System (HRMS), was comprised of 1 to 10 employees, depending on the organization’s size, manually sorting and filing thousands of forms with hundreds of variations. In addition, they performed different validations in order to enter information into the HRMS. The manual tracking, management, and data entry approach was slow, confusing, and characterized by high error rates. To avoid these mistakes and benefit from the shift to automation, progressive HR teams are applying RPA to help tasks like data management and validation; running, formatting, and distributing reports; and replacing manual and spreadsheet-based tasks. Companies have automated payroll updates, sick leave certification, and employee onboarding / offboarding. Some are also exploring more advanced cognitive automation technologies, like machine learning and natural language processing, to enhance a range of HR processes from talent acquisition to benefits administration and beyond. The results of the RPA deployments studied have shown a significant decrease in process time, a major reduction in errors, and a high potential for scalability.

 

Organizations looking to get started typically ask, “Where should I start? or “Which vendor should I choose?” To help inform and steer these decisions, here below are few tips for onboarding and offboarding automation.

 

    • Redefine what digital means to the enterprise: Automated onboarding and offboarding require sensitivity from everyone involved to change management processes. As an IT department, involve your colleagues from HR and all application managers from the very beginning. Only in this way automated processes can be integrated smoothly in a larger organization. Only when your colleagues fully accept the new processes do they support them effectively. The future workforce will soon be populated with both human workers and digital workers. HR must prepare the workforce for a future where people and robots will work together.

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    • Train Staff: Switching from a manual to an automated HR process requires a significant change in employee behavior, but thorough and engaging training can help facilitate the transition.

 

    • Appoint a Chief Digital Officer or equivalent: Identifying a project owner and project champion is the next critical step toward successful HR automation. While the project owner handles daily operations, the project champion shares the vision of automation with stakeholders and gathers support.

 

    • Setting up clear processesThe transition from manually controlled to automated processes involves both technical and cultural change. Therefore, well-defined, documented processes on how to initiate delivery of HR services through an identity management solution are highly recommended. This phase will certainly take some time. However, it is indispensable for successfully implementing automation based on coordinated processes.

 

    • Build and optimize agile delivery: Build a development environment for all critical applications. In this way, you will be able to develop new automated processes step by step. Such a development environment offers rapid testing and continuous improvement.

 

    • Focus on platform capabilities and include Security Issues: Cyber ​​threats are driving IT and security teams to work more closely together. Integrate identity management with access control systems. Ensure control over privileged accounts and be able to quickly adjust access privileges in case of onboarding – offboarding.

 

    • Acting fast: A close cooperation between IT and security also allows the rapid withdrawal of rights when an employee leaves. With automatic access control, IT is immediately able to revoke access once an employee has quit. With a real-time dashboard as part of an identity management solution, IT and security teams can instantly see who leaves the company and when. Automatically created permissions can also be quickly revoked using automation.

 

 

A changing landscape means HR must frequently adapt better strategies and seek out better processes and tools to deliver high performance. In today’s changing era, if HR departments still rely on manual, paper-based processes will be left behind if they won’t re-examine their infrastructures and won’t adapt automation technology in order to benefit from better productivity, cost containment, and compliance, awareness of employee and candidate.

As they begin to identify opportunities for HR automation, they must not forget that HR will always be about the people, and automation technology should serve those people, not replace them. As such, not every single aspect of HR can or should be automated; rather, automation should help HR professionals find and retain more talented individuals, collaborate with the organization, and spend more time evaluating their workforce.

 

Source :

–      Robotic Process Automation (RPA) Market Size, Share & Trends Analysis Report By Type (Software, Services), By Application (BFSI, Retail), By Organization, By Services, By Region, And Segment Forecasts, 2021 – 2028

–      Robotics and cognitive automation in HR Insights for action 

–      Artificial Intelligence in HR: a No-brainer 

–      Robotic Process Automation (RPA) On Entering an Age of Automation of White-collar Work Through Advances in AI and Robotics

COVID-19: Why RPA alone is not enough

COVID19 Why RPA alone is not enough

 

Robotic Process Automation (RPA) is demonstrating remarkable potential in enterprise deployments, saving thousands of hours each year, reducing wages costs and enabling people to focus on higher-value work. However, recent experience has shown that intelligent and agile automation of business processes requires more than RPA. The biggest problem with enterprise operations today is the simple fact that most firms only implemented RPA and believe that this technology is the only good solution for optimizing their routine processes. An RPA application often has to coexist with other applications supporting different workflows for handling huge digital workload while increasing productivity and reducing costs.

 

RPA is relatively easy and quick to implement technology and promises a strong ROI and is defiantly a helpful element for automating simple, repetitive tasks, especially in connection with legacy systems or documents. However, the current pandemic has shown the limits of this technology.

RPA imitates human behaviour that is repetitive and doesn’t require special knowledge, such as filling in the same information in multiple places, re-entering data, or copying and pasting content, screen scraping, opening emails and attachments, carrying out checklists, vetting contracts, moving files and folders, or reconciling processes as codified rules instruct the computer software ‘robots’ to perform human tasks within a process.

 
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As RPA directly integrates into existing / legacy infrastructure, the most common pitfall in its integration is the lack of strategy, governance, and planning. Robots, which act as digital assistants on end devices in the company and sometimes require the intervention of the employees, can only be made available for the home office with a lot of configuration effort. This is often not even possible due to the presence of legacy infrastructure. One the other hand, holistic, intelligent process automation offers the necessary flexibility and agility that goes beyond RPA and requires additional technologies such as artificial intelligence, case management and business process automation.

 

With the combination of RPA and BPA, companies can comprehensively digitize their entire customer processes, handle and orchestrate flexible units. Human and digital actions can be coordinated and controlled to create seamless end-to-end processes and this control can be quickly and flexibly adapted to new conditions at any time. As RPA does not stand on its own, organizations will need tools such as BPA for overall management of a business process. RPA cannot itself change process or optimize it, it only executes a process, but on the other hand BPA enhance the performance of an implementation of RPA by ensuring that the process being automated is optimized and delivering the required results. The goal of RPA and BPA is to create more efficient and effective workflows. However, both use different forms of automation.

 

With such flexible approach and technology stack, companies have significantly more options in situations like COVID19. For example, there would be the possibility of redesigning the process flows so that they integrate the home offices. Business applications can be adapted very quickly to the new working environment, since the underlying processes and system connections remain constant. This flexibility will not only pay off in crises but will also offer companies the possibilities benefit significantly from this in normal times. For example, when they have to react to new market requirements, with acquisitions and mergers or when certain departments can no longer be filled because the employees have retired and no young people can be found.

 

Therefore, firms need to set a clear vision, governance, and performance objectives when integrating and using RPA solutions to scale up their operations. stakeholders from IT, business, support, compliance, and HR must also be involved in order to ensure strategic alignment across the organization.

RPA – Robotics Process Automation Trends and Statistics for 2020

RPA Robotic Process Automation XORLOGICS

 

This year, many companies found their business growth through the smart interaction between human resources and supporting software robots as the direction is set towards digitalization and automation. The combination of RPA with artificial intelligence (AI) and machine learning (ML) is playing a huge role in the global economic environment.

According to a new report by Grand View Research, Inc. the global robotic process automation market size is expected to reach USD 10.7 billion by 2027, expanding at a CAGR of 33.6% from 2020 to 2027. In addition to that, in Gartner Top 10 Strategic Technology Trends for 2020, hyper-automation, autonomous things and AI security were at the top 3.

 

RPA is a type of IT solution that allows organizations to automate many of their tasks through the use of specialized software programs. Many business executives believe that RPA enables their companies to automate structured tasks that take just a few work steps and repeat themselves frequently – like transferring data from one IT system to another. RPA can relieve employees of tasks that consume a lot of time but do little to add value and are prone to errors – keyword typing errors. It also helps to automate routine jobs on the computer and processes to increase efficiency, improve service and save costs.

 

One should not think that RPA is similar to BPM. RPA only simulates human data entry and helps with simple and recurring tasks, to save time because the software does things in parallel that an employee can only work through one after the other. Such an application needs simple rules with few exceptions – and the biggest advantage is that, unlike humans, it runs around the clock. Unlike BPM which stands for describing, contolling, modeling, and optimizing the processes that are present in an organization.

 

Here below are the statists and trends of RPA that shows it’s worth:

 

    • RPA as an industry is growing exponentially– the global robotic process automation market size is expected to reach USD 10.7 billion by 2027, expanding at a CAGR of 33.6% from 2020 to 2027 – Grand View Research

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    • The RPA industry will grow from $250 million in 2016 to $2.9 billion in 2021. This is one industry that is growing at a lightning speed. It was already worth $1.7 billion in 2018 – Forrester

 

    • RPA will achieve “near universal adoption” in the next 5 years – Deloitte

 

    • By 2025, the market for collaborative robotics is expected to reach $12 billion – MarketsAndMarkets

 

    • By 2024, organizations will lower operational costs by 30% by combining hyperautomation technologies with redesigned operational processes. Gartner

 

    • The RPA fast adoption is helping business to reduce the operational costs and enhance overall customer satisfaction, improve transparency and visibility for service functions and reduce of manual efforts – Reportlinker

 

    • 11,214 results This is the number of open positions produced by a recent search for “robotic process automation”on LinkedIn’s jobs site. Titles vary within this growing IT jobs category, but “RPA developer” (and variations of the same) is an increasingly common one – reflecting the need for IT pros who can build the bots that enable organizations to offload repetitive, time-consuming tasks – LinkedIn

 

    • RPA deals with the application of advanced technologies including artificial intelligence (AI) and machine learning (ML), to increasingly automate processes and augment humans – Gartner

 

    • RPA is offering a lot of benefits to the business by giving access to collaborative intelligence where humans and technology works side by side so that they can perform their roles optimally. As employees don’t need to perform repetitive tedious tasks, they can be educated to work with automation tools and learn the latest business and marketplace information through machine learning – Xorlogics

 

    • The market for RPA in Healthcare is driven by the increasing demand to automate claims and process management. RPA vendors are focusing on developing best-in-class intelligent process automation bots – Research and Markets

 

RPA & AI in Health Care

Smart systems affect our professional and private lives. Artificial intelligence (AI) is getting sophisticated and forming the basis for all the technologies we use on a daily basis. Obsolete technologies are making ways for new systems, entrepreneurs must reorient and restructure their business processes towards digitisation. As AI is getting increasingly sophisticated at doing what humans do, more efficiently, more quickly and at a lower cost, it’s use in healthcare can play a major role. Many industries already rely on automation of business processes using robotic process automation (RPA) or even artificial intelligence. Is this a good solution for the healthcare industry too?

 

With the advancements in technology applications and apps that encourage healthier behaviour, the population is increasingly having longer life expectancies. Hospitals struggle with mountains of data and inefficient and complex ways of processing all these data. Moreover, caregiver spent a significant amount of their time doing these repetitive tasks.Thus, the need for medical care is growing and the shortage of skilled workforce in the care sector is growing as well.

 

The complexity and rise of data in healthcare means by making AI and robotics a part of our healthcare Eco-system, and with the integration of automation of processes, we can counteract these problems. With the use of software robots, we can shifts repetitive, time-consuming routine activities, such as administrative or billing operations, away from employees to virtual “colleagues”. Faster access to data also makes medical care easier for patients: with the data generated via patient wearables and other medical devices combined with AI, it’s helpful to oversee early stage heart disease, enabling doctors and other caregivers to better monitor and detect potentially life-threatening episodes at earlier, more treatable stages. Doctors and caregivers can have more personal contact with patients and often fewer mistakes.

 

AI can be used to analyse and identify patterns in large and complex datasets faster and more precisely than it has previously been possible. It has the potential to aid the diagnosis of disease. Using AI to analyse clinical data, research publications, and professional guidelines could also help to inform decisions about patient’s treatment. But as AI depends on digital data, so any inconsistencies in the availability and quality of data restrict the potential of AI. 

 

Robotic Process Automation is digital techniques form an interface between the management concept and the automation of business processes using software solutions. Virtual employees take over the handling of individual user interfaces or even entire business processes. With the help of automation, workers get more time for tasks that require individual interaction and emotional judgment. Software robots mimic and perfectly scalable business processes in all areas around the clock with almost zero error rates.

 

Opting for RPA can represent a lot of advantages for medical institutions, such as:

 

  • Automation of routine tasks = relieves employees of frequently repetitive tasks so they can apply their skills to cases that require a human touch
  • Process, input and extraction of user interface-driven data from clinical applications, lab information systems, third party portals, insurance portals, radiology information systems= increase productivity and improves quality of work
  • Software robots work faster without any human error = Patient’s data up to date
  • An RPA robot can enter pertinent and specific health information into a patient’s Electronic Medical Record (EMR).
  • With the use of RPA, doctors have patient’s digital traces all the time = more insights into work process flows
  • RPA productivity also translates into return on investment as Software robots work much faster than their human counterpart
  • Helps caretakers not only reduce costs and gain efficiency but also increase the quality of patient care and amount of time spent with them
  • RPA can optimise patient registration, appointment scheduling, billings and payment posting = decrease in operational costs and improvements in patient experience 

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RPA is offering great benefit to health care professionals and administrators in helping them perform their tasks at a higher capacity with less effort. The combination of RPA and artificial intelligence forms the next level of automation because systems make their own decisions, learn and optimise processes independently. AI can assign tasks, which are then executed by RPA. The software robots provide the hands for the cognitive systems. In the future, for example, automation solutions could be even more involved in the monitoring of people in need of care. However, it often turns out to be sufficient and above all more meaningful to use RPA alone as it enables them to provide immediate productivity gains, achieve near zero error rates, reduce operational costs and greatly increase the quality of patient care.

 

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RPA – Robotic Process Automation Benefits in Digital Landscape

Robotic Process Automation Benefits in Digital Landscape

 

Any business who is new to the digital landscape can faceevery day a new way to do business on the digital road. And they can easily get surprise to learn the quantity of time they were wasting by doing their business in anold-fashioned way=manually. Stepping out for a digital environmentadaption will certainly change the way how people used to work.

 

How? Roboticprocess automation (RPA)is made for automation of manual and low-value repetitive tasks, such as,dataentry (order, invoice, etc), looking up information in databases, typing in updates,preparea template, run and download reports, readand reply email, send mails to follow up with customers, etc. And with every manual process, chance of human error is present.

 

Simply put, RPA is used to automate repetitive, rule-based digital tasksbyinteracting withcomputer software and applications and information sources in a betterwaythanhumans do now.With the advances of digital technologies, use of RPA is getting more and more powerful because not only they can handle complex Business Process Management (BPM) activities but they are being use for decision making.

 

RPA can provide many benefits to organizations, few of them are listed below:

 

  • RPA can help in reducing manpower costs of any organizations. As the work is automates and done faster round the clock, companies don’t need to hire a 24/7 working staff. In addition to that, RPA promises to deliver better work than human workforce.

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  • Helps to control and minimize the risk of errors. As RPAs can replace humans in doing repetitive tasks, plus companies can assign humanstasksthat are worthy of their time, skills and experience to the projects that drive innovation and growth.

 

  • Reduce paper waste as it’s one of the biggest threats to the environment. So, in the digital world, RPA can communicate via digital mediums and save and store data in multiple forms in different storage (cloud or in-premises) without any use of paper.

 

  • RPAs are known to do more in less time and are flexible to adapt to any last-minute change in process.

 

  • Organizations can remote work from distance as all RPA software benefit from the centralized management platform. It offers a better business management along with high levels of security.

 

  • Improves customer experience by following up queries without any delay by using its automation capabilities.

 

 

RPA is, without anydoubt, a creative solution to handleissues oftraditional work environments. If properly implemented, businesses can 100%benefit from it and recover their ROI in no time. Also, withthe increasing adoption of RPA in businesses and enterprises, the demand for RPA professionals is increasing. Therefore, companies in future will be successful in they combine human and machines to drivethe best value of their businesses.

 

Sources:

22 Benefits of Robotic Process Automation (RPA)

TOP-5 BENEFITS OF ROBOTICS PROCESS AUTOMATION (RPA) ADOPTION FOR YOUR COMPANY

Business Benefits of Robotic Process Automation

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