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COVID19: Home-Office Exposed to Insider Threats

INSIDER THREAT HOME OFFICE COVID 19

 

The world has gone through immense changes in the recent decades. Since the dawn of time, humans have developed tools and technology to achieve their goals. We’ve witnessed large shifts in technology and social structures. Today, technological advances are rapidly making it possible to automate as much as possible of the work currently carried out by humans through robotics, internet of things, machine learning and artificial intelligence. These RPA robots are capable to mimic human user actions. They log into applications, move files and folders, copy and paste data, fill in forms, extract structures and semi-structures data from documents and many more. Companies also have an immense capability to store, process and transmit data, to an extent that traditional paper documents are being replaced by or converted to digital media.

 

With the rise of technology, data breaches and security incidents are coming from all over the digital sphere and are increasingly costly. These cybersecurity threats are impacting companies and organizations on a daily basics. According to a new report from IBM and the Ponemon Institute, the average cost of a data breach in 2020 is $3.86 million. As organizations are busy in defending themselves against external threats, they need to remember that insider threats can also be harmful. Because whether Intentional or not, employees take certain actions that carry a significant impact on an organization’s trustworthiness, data loss, reputation, reliability, safety, and credibility. A situation which isn’t ignorable as now, due to COVID19, more and more people work from home using their own devices to access company resources.

 

In their recent “2020 Insider Threat report” Bitglass, the cloud security provider, has underlined that 61% of those surveyed were exposed to an insider attack in the last 12 months, 22% reported an insider attack in at least past six months. For 49% of respondents, it takes at least one week before they detect an insider attack, and for 44% of them another week or more can go by before they recover from such an attack.

 

Additionally, the year 2020 has brought unexpected changes to the global economy and the world of work. One of the challenges businesses face today is protecting their assets in a virtual environment which are vulnerable to attacks both from inside and out. Organizations are undergoing fundamental changes, including the rapid move to the cloud and widespread adoption of teleworking due to the COVID19 pandemic situation. Teleworking has certainly proven itself an important aspect of ensuring business continuity, but poses a huge challenge on how to prevent cybersecurity threats while workers are working from home, as well as how employers can comply with data protection and privacy regulations, such as the EU General Data Protection Regulation.

 

Home office combined with protecting against insider threats poses greater challenges. 82% of organizations cannot guarantee that they will be able to detect insider threats deriving from employees’ personal, unmanaged, unprotected devices, versus 50% from the cloud, while 81% find it difficult to assess the impact of insider threats. Even before the pandemic, companies had to cope with limited security budgets. And now due to covid circumstance, security teams are obliged to do even more with less. 73% of companies haven’t planned any increase in their security budgets for the coming year instead they are planning a reduction inti.

 

“Companies report that the loss of critical data and business interruption are the worst effects of an insider attack,” said Anurag Kahol, CTO of Bitglass. Organizations need a versatile security platform that enables real time monitoring of user behaviour, protection of personal devices, ensure maximum uptime, achieve cost savings, and prevent data loss associated with interactions. Thus, leaders in all industries must equip their organizations with automated, real-time protection measures to effectively respond to these emerging insider threats.

 

Source:

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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

 

Artificial Intelligence: Top Pick Statistics for 2020

Artificial Intelligence Top Pick Statistics 2020

    • According to the market research firm Tractica, Revenues from the artificial intelligence (AI) software market worldwide is expected to have a growth of 6 billion by 2025 – Statista

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    • According to Gartner, Inc. 25% of customer service and support operations will integrate virtual customer assistant (VCA) or chatbot technology to communicate with customers by 2020 – Gartner

 

    • Large companies are adopting AI at a rapidly accelerating rate. Just 4% of enterprises had adopted AI 12 months ago. Today, 14% of enterprises have deployed AI. A further 23% intend to deploy AI within the next 12 months. Adoption will continue to accelerate; in two years, nearly two thirds of large companies will have live AI initiatives – Gartner

 

    • According to PwC analysis, AI, robotics and other forms of smart automation will bring great economic benefits and contribute up to $15 trillion to global GDP by 2030 – PwC

 

    • By 2020, investors will use platform, data value and customer engagement metrics as value factors for all enterprises- IDC

 

    • IDC predicts that the Global Datasphere will grow from 175 Zettabytes by 2025 – IDC

 

    • Artificial intelligence has come into the mainstream because it allows us to make sense of an increasingly large amount of data in real time. Indeed, worldwide data will grow 61% to 175 zettabytes by 2025- IDC

 

    • In order to fill skill gaps caused by the need of AI adoption,75% of organizations will be investing in employee retraining by 2025 – IDC

 

    • By 2021, at least 50% of global GDP will be digitized with growth in every industry driven by digitally enhanced offerings, operations, and relationships- IDC

 

    • The RPA Services Market will grow to reach $12 Billion by 2023. Also to be noted that, Forrester has previously projected that the RPA software market itself will grow to $2.9 billion by 2021. – Forrester

 

    • 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

 

    • Clinical health AI applications can potentially create $150 billion in annual savings for the US healthcare economy by 2026 – Accenture

 

    • Growth in the AI health market is expected to reach $6.6 billion by 2021—that’s a compound annual growth rate of 40% – Accenture

 

    • According to a report by Statista, revenue in the Smart Home market amounts to $90,968m in 2020. Household penetration is 9.3% in 2020 and is expected to hit 19.3% by 2024. The average revenue per installed Smart Home currently amounts to $77.07. Revenue is expected to show an annual growth rate (CAGR 2020-2024) of 15.0%, resulting in a market volume of $158,876m by 2024 – Statista

 

    • 80% of all marketing executives predict Artificial Intelligence will revolutionize marketing by 2020 by generating a better sale close rate, increase in revenue, improvements in website traffic and customer engagement and a higher conversion rate of potential leads to paying customers- DEMANDBASE

 

    • Chatbots integration will allow banking and healthcare sector to save $8billion annually by 2020- Juniper research

 

    • AI surveillance technology is spreading at a faster rate. At least 75 out of 176 countries globally are actively using AI technologies for surveillance purposes, including smart city/safe city platforms (56 countries), facial recognition systems (64 countries), and smart policing (52 countries) – Carnegie endowment for international peace

 

    • AI embedded in analytics and other marketing software will free up more than a third of data analysts in marketing organizations by 2022, providing them with more time to spend on other business priorities instead of spending time on repetitive manual processes – Gartner

 

    • In approximately 60% of occupations, at least 30% of constituent activities are technically automatable by adapting currently proven AI technologies in sectors such like: Finance and insurance, Retail, transport and trade, Professional services, Manufacturing, Healthcare – McKinsey Global Institute

 

    • According to the report, the global artificial intelligence (AI) in cyber security market was USD 7.1 billion in 2018 and is expected to reach approximately USD 30.9 billion by 2025, at a CAGR of slightly above 23.4% between 2019 and 2025 – Zion Market Research

 

IT Trend 2020: Hyper-Automation

IT Trend 2020: Hyper-Automation

Gartner Top 10 Strategic Technology Trends for 2020 have listed Hyper Automation as one of the biggest trends for 2020, as more and more enterprises are adopting automation in their work processes. Forrester has predicted that the global market for RPA services will hit US$7.7 billion next year and is expected to grow to US$12 billion in 2023. AI is increasing productivity through automation and is helping organizations derive meaning from ever-larger data sets.

 

Hyper-automation is the mixture of automation technologies that exist to expand and increase human capabilities by allowing organisations to automate more complex work with the help of robotic process automation (RPA) at its core, with artificial intelligence (AI), process mining, analytics, and other advanced tools that strengthen the ability to automate work. As defined by Gartner:

 

“Hyper-automation deals with the application of advanced technologies including artificial intelligence (AI) and machine learning (ML), to increasingly automate processes and augment humans.”

 

The adoption of Automation is helping organizations, that are data-driven, to be able to better respond to their customers’ demands, identify new business opportunities, improve their service delivery, eliminate all human errors, and reduce costs.  The idea is to automate more and more knowledge work, and engage everyone in an organization to be part of the transformation.

 

How is hyper automation important for enterprises in 2020?

 

Over 1 million knowledge-work jobs will be replaced in 2020 by software robotics, RPA, virtual agents and chatbots, and machine-learning-based decision management, predicts research firm Forrester in their new report, “Predictions 2020: Automation.”

Data Science, Analytics and Cognitive technologies are feeding RPA with the intelligence which is revolutionizing software automation in industries. Hyper automation offers 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 tasks, they can be educated to work with automation tools, wisely and with intention, and learn the latest business and marketplace information through machine learning. They can also to taught how to interpret AI-enabled decision-making, find creative solutions to resolve problems and get more engaged with their jobs.

 

Simply put, once Hyper automation is incorporated into your business it will help to reduces human effort by doing a lot of work in lesser amount of time, reduce the risk of human errors as machines are calibrated for precision, improve the quality of jobs by eliminating deadly, exhausting, and dangerous for humans processes and leads to increased productivity and higher output.

 

But before any implementations, business must think and identify areas and processes where automation is really needed.  Business leaders must make a business plan and estimate the the return on investment, and of course train existing personnel to make the most of automation instead of thinking that automation will take their job.

 

Sources:

 

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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.

 

Sources:

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

Business Process Management OR Robotic Process Automation – Which Process Optimization Can Be The Best For You?

Business Process Management vc Robotic Process Automation

In today’s highly competitive era, entrepreneurs must ensure that their operation is in no way inferior to the offers and services of the competition. The digital age demands modernization as well as adaptation and optimization of processes.

 

To achieve this goal, the IT responsible can use different methods: These include, for example, Business Process Management (BPM) – also known as classical dark processing – and Robotic Process Automation (RPA). But which method is suitable in which situation? Can companies achieve better results with just one solution, or is the combination of both methods the perfect strategy? While RPA makes software robots useful as smart colleagues in the business, BPM is more likely to purposefully analyze, model and improve all business processes. Both methods can be applied under the same objective but are implemented with different strategies – RPA more factually, BPM more strategic.

 

Business Process Management – System With Strategy

 

Business success depends in many cases on how well internal processes comply with customer requirements. With the help of Business Process Management, business processes can be digitized, ie modernized, and an agile way of working can be introduced. BPM is a technology that has made a major contribution to the digital transformation strategies of many organizations. It involves designing processes, executing them across systems and people, managing tasks, and optimizing it all continually. BPM focuses on redesigning the existing business processes of an organization to achieve optimal productivity and efficiency. The method thus supports those responsible to gain an overview, to redefine processes, to map and finally to coordinate – also concerning the employees. In this way, a long-term improvement of the processes and, as a result, the ability to act agile succeeds. Often software-based techniques are used which accompany every business process, from the order to the customer service. This applies, for example, to paperless processes in which software takes over all work orders and relieves the employees.

 

Robotic Process Automation – Operation Software Automation

 
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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, including the use of the associated user interfaces, such as mouse and keyboard. The software works cross-application and integrating with programming interfaces (APIs), REST interfaces, user interface automation (UIA) and automatic image, pattern and text recognition on all computer surfaces. 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.

 

Analyze your own interests

 

So who benefits? Who benefits from which method? Basically, BPM and RPA work very well together. In the strategic observation and optimization of business processes, RPA offers itself as a partial solution. At the same time, the use of software automation does not always require a comprehensive management concept such as BPM. In other words, while BPM focuses on the overall process and monitors the big picture, seeks potential and improves processes, RPA is used on a selective basis. The software robots can be applied to individual processes as well as to higher-level business processes, but they work operationally and do not form a concept for the entire company. RPA represents the next level of innovation in the direction of automated workforce for ERP and BPM systems.
BPM and RPA are really two sides of the same coin. Both are valuable tool sets that management can leverage to drive operational excellence within their organizations. Ultimately, it depends on what goal companies pursue with their process optimizations: a holistic structuring of operations or the automation of repetitive activities.Indeed, the best results are often achieved when both technologies are deployed to drive true transformative changes.

 

Perfect combination

 

Currently, automation providers are still focusing on one or the other approach. However, the trend is increasingly towards combining the two processes. This enables a smart automation solution that makes the most of both methods and gives users the freedom to choose the most effective approach to implement at the process step level when automating a meta-process. The added value of the dynamic set-up may result from choosing a hybrid fitting but well set-up right at the beginning. However, there is also the possibility of leading it along a time-defined, long-term migration path that gradually shifts the focus between RPA and BRM. The latter makes sense, for example, if RPA serves as a starting point in an overall strategy. Robotic Process Automation is often used in such cases to achieve short-term, but – in terms of a total transformation – only temporary automation success, until the necessary foundations for BPM automation have been created.

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