RPA Adoption

RPA Adoption

Robotic Process Automation (RPA) is the use of programmable rule-based robots to replicate human efforts. It helps cut costs and improve productivity. It gives decision-makers control over their processes with enhanced visibility into operations that would otherwise be performed by humans but too expensive for many organizations.

Robotics has become an integral part in most manufacturing facilities. It can free up time previously spent performing repetitive tasks so they may focus on more complicated yet higher paying work.

There is a huge difference between Artificial Intelligence (AI) and Business Analytics. AI can learn how to do things on its own, but it’s not programmable like Business Intelligence (BI) tools. Business Analytics are designed for repetitive tasks in businesses so that human beings do not have too much work with numbers all day long.

Adopting RPA is not just about jumping on the bandwagon. There are many challenges that organizations face when trying to adopt this technology, including:  

  • No standard process 
  • Lack of secure IT support and security risks
  • Customer expectation mismatch
  • Lack of employee buying-in and training 

It is important to understand that not every process can be automated. Merely automating random business processes does not bring about enterprise-wide automation or positive change, and it will lead only to frustration for all involved. The aim of RPA should instead focus on solving a problem within your company’s specific industry. Providing an efficient solution that solves this dilemma being currently faced is the meaningful goal. It should not be used as simply another tool in our already overpopulated belt.

RPA has been proven time after time. RPA is able to efficiently run stable, structured, repetitive, rule-based, consistent tasks. It can use logic subroutines, analyzing where exactly these types of procedures belong within an organization before deciding whether they need some form of automation or not.

RPA Planning

In most organizations, RPA is used as a tool for implementation in short-term wins and small functional areas. This starts out with an opportunity to convince decision-makers of its cost benefits before expanding into other departments or company-wide use later.

The RPA Center of Excellence (CoE) is a team of skilled workers with knowledge and expertise on the subject matter. The group’s role lies in setting up an effective strategy for use within your business. The CoE will act as its go-to resource when it comes to implementing or adopting this new technology into their workflow processes. Focus should be kept on long term goals all the while.

Choose The Right Software

Automation starts with selecting the right RPA software. This means choosing something user-friendly. It means prioritizing your business needs for automation so that you can empower users. Do not make them feel like they need a special type of computer just to do their jobs.

Train the Workforce

RPA software can be a useful tool for streamlining business processes, but the risks are significant. In order to minimize these risks and maximize savings from automation you need your employees on board. They should understand what will happen in advance so that there isn’t any confusion or resistance when changes roll out across various departments. Well-designed training programs ensure everyone has buy-in. This will give understanding how this new technology is going help them achieve their objectives more efficiently while also protecting sensitive data at every step.

Production and Maintenance

As the RPA initiative enters its production phase, it is important that key stakeholders can monitor performance and quickly identify any outages. With successful integration into an existing architecture, all business units can be monitored as well through CoE collaboration between IT professionals and cybersecurity teams. These solutions will provide stability while also allowing accuracy checking throughout each process from start-to-finish. This ensures nothing gets left behind.


The best RPA adoption format is non-invasive in nature, with organizations integrating RPA and their existing architecture. We need to think of it as a virtual assistant who will work alongside us executing successful automation programs for the betterment of all people involved. This can only happen when we make Intelligent Process Automation (IPA) possible by equipping them with AI or Machine Learning (ML) capabilities. This can give them new avenues of intelligence, such as Business Intelligence (BI), so they may perform at higher levels than ever before


A smooth and non-invasive integration of RPA adoption, if done with forethought, can be one of the most important changes any company can make. It can significantly improve the overall efficiency of an enterprise, with the unquestionable benefits of increased revenue, reduced costs, and improved employee happiness.

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Finance Automation

Finance Automation

Enterprise Resource Planning (ERP) and Corporate Performance Management (CPM). These terms refer to the use of software that automates top finance-related tasks such as data consolidation and financial statement preparation.

The new financial system can make life easier for financial departments by eliminating data entry and other chores that consume time. Financial professionals can focus on strategizing, analyzing, and making critical decisions for the firm without having a second thought.

Finance Automation Examples

The finance department should make financial automation a top priority for several reasons. It will help with the accuracy and consistency of data, as well as streamlining processes like planning or reporting so that there is less time wasted on repetitive tasks in between other work. This way you can spend more productive hours generating revenue instead.

Here are two examples of why it should be a top priority:

Automation candidates

Automating your finances is a great way to free up time and increase productivity. Automate which financial processes are most beneficial for you, then get started. What are some of the things that would help save money if they were automated? First, identify what processes could stand to be automated. What routines can be eliminated? What are the repetitive tasks that could be stopped? Once you have identified the repetitive tasks that are taking up time, investigate automation platforms to replace them with something more efficient.

An Excel-based financial automation process

Automated financial services are not just about the speed at which they operate. It is what these innovations accomplish that really counts. Automation can improve and accelerate various processes, allowing finance professionals to focus on value-added work rather than repetitive manual tasks. For example, automating an Excel-based financial

process allows for the gathering and consolidation of information quicker than a human could accomplish. With Excel-based automation, users can continue to work in the Excel sheet while benefitting from financial automation that greatly improves processes.

Finance Automation Benefits

Data Integrity

Financial document automation, or financial statement automation, reduces the risks of unnecessary errors in calculations. With automated processes, financial professionals can be more confident in their numbers.

Greater Visibility

There are many ways to make finances more transparent. One way is through software that offers complete visibility into the numbers professionals need for them to be accountable and responsible stewards of client money.

Accelerated Efficiency

With automated financial systems, financial professionals can be confident that their process is in good hands. This means investing time into a system that will save the day and keep things running smoothly for years to come.


The future of the finance department is financial statement automation. Financial automation is the process of utilizing technology options to complete tasks with minimal human intervention. These automated routines, often referred to as bots, do simple jobs that would be time-consuming. Financial professionals can then focus on more value-added work and more personalized customer service. Financial automation helps ensure data integrity, transparency, and efficiency, which in turn provides greater confidence in the quality of the role of the financial professionals.

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RPA Myths

RPA Myths

Robotic Process Automation (RPA) is a computer-based technology in which machines use rule-based decisions to carry out tasks according to flowcharts. This leaves no human interpretation necessary for the task at hand.

RPA has proven itself to be a tool that can save organizations time, money, and is less likely than humans to make errors. Organizations have embraced the technology because robots perform certain tasks more quickly, accurately, and for longer periods of time compared with humans.

Robot workers are much faster than humans because they can do the same task repeatedly without getting tired or bored of doing that specific activity. It allows them to work for longer periods of time with no breaks. They save companies money by requiring less manpower throughout their shift. This in turn saves on expenses like salary paychecks, benefits, etc. Robots also make fewer mistakes when completing a repetitive job since there aren’t any distractions such as hunger pangs. This eliminates temptations completely.

Robotics are increasingly becoming an important part of our daily lives. This is particularly due to their flexibility and ability perform consistent operations with little or no supervision required from humans –this includes RPA. RPA uses software ‘bots’ that follow rules based on predetermined parameters set by technicians. This is simpler than any kind of Natural Language Processing (NLP) software development. NLP is typically used when creating bots under AI technologies like Machine Learning (ML) or deep learning.

To successfully implement RPA, you need a strong and clear vision that your implementation team will stand behind and stakeholders will buy into. The best way to create commitment is by involving the people who are involved with creating this type of technology. Afterward, provide human benefits resulting in customer benefits, which leads to business success.

But one of these 6 common myths will prevent organizations from making best use of the technology:

Myth 1: Many Bots Will Be Needed

Using RPA, a company does not need to own bots and can instead outsource its workforce. This allows companies of any size with the ability to scale up or down their workforce in accordance with success without owning costly equipment themselves.

Myth 2: Bots Will Eliminate Jobs

People are increasingly becoming more and more efficient with the use of bots, which allows companies to train their workforce for other tasks. Bots can be used as a tool by humans to complete tedious jobs that would take an extended amount of time. This then leaves workers free from those responsibilities so they can focus on higher-level thinking.

Myth 3: AI Bots Can Do All Human Work

AI can understand natural language and it can learn and recognize images, but it is still a long way off from replicating human intuition and reasoning. Many bot activities require routing certain tasks to humans.

Myth 4: Bots Make No Mistakes

Although bots are programmed to follow instructions exactly, if they’re given incorrect or unexpected data inputs (like faulty coordinates), then the bot might complete its task incorrectly. Though a bot does exactly what it’s told, if it is programmed incorrectly, it will carry out a task incorrectly a thousand times. If they’re given incorrect or unexpected data inputs (like faulty coordinates), then the bot might complete its task incorrectly.

Myth 5: RPA Eliminates Business Process Management (BPM)

The first step should be to discover your current business process and understand where automation can best fit. Think of it as a car driving down the road: BPM is building the road, while RPA drives itself on that same path.

Myth 6: RPA Eliminates IT Support

The bot is a virtual employee. It is vital to get IT involved early, as RPA heavily relies on them for deployment and management of bots. To use RPA, it is important that the company gets their IT team involved from an earlier stage in development. They can help with deploying your bots onto the system later down the line. If anything goes wrong after deploying these processes, then Digital Workforce Management comes into play, which helps manage those digital employees called “bots.”

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RPA In The Legal Industry

RPA In The Legal Industry

There are many potential benefits to using Robotic Process Automation (RPA). An important benefit is that can automate repetitive and manual tasks in every industry. RPA is a great fit for law firms that need to perform many volume-driven tasks daily to meet their compliance obligations. With the recent advancements in RPA, many services-based industries within the Banking, Financial Services, and Insurance (BFSI) space have had a head start on adopting RPA. However, law firms are lagging behind with barely scratching its potential uses for them to make profit from it.

  • Automated background checks could be used to help a law firm predict its labor costs in cases. It can predict the financial risk associated with representing prospective clients.
  • A bot could be trained to recognize key terms in an email that trigger the task of uploading case information and related documents.
  • A computerized fraud investigation tool is trained based on concepts like linguistics and emotions in order to recognize suspicious behaviors. When this new model is applied to fraud investigations, it can instantly identify patterns based on the existing knowledge. As more data becomes available and analyzed by the tool’s technology-driven system for pattern recognition, accuracy will increase rapidly.

RPA In The Legal Industry Benefits

Automation technology can provide broad opportunities for law firms to streamline their work, reduce costs, and free up more time. As RPA becomes more and more popular, it will automate processes that would take hours upon hours for professionals to complete. With a greater possibility of human error or negligence involved in these types of tasks, there is an increased chance of not being completed successfully.

When there is more experience with AI and RPA, there can be more stakeholders’ buy-in. Though these tools carry significant expenses, their efficiency can also result in time and cost savings for the law firm.


Automating routine work and generating swift insights, AI can reduce the burden on legal departments faced with a deluge of information. The review of e-discovery materials, like many other tasks, are much more efficient if they are carried out by RPA software bots.


The Case Management System (CMS) is a vast database in which all of an attorney’s notes and correspondence are stored. Employees spend hours each week tracking their progress through this complicated process by manually entering data. This task can be automated with RPA to free employees from mundane tasks such as submitting cases numbers every day at e-filing portals.


In a world where technology has grown exponentially, legal software is on the rise. Firms and departments across all sizes are discovering that AI-powered tools like Robotic Process Automation (RPA) can drastically improve critical processes while saving time. These can be accomplished without hiring additional employees or dismantling existing workflows. The initial costs to implement RPA can be recovered with the lasting benefits of costs and time savings for the law firm

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RPA In Marketing

RPA In Marketing

Robotic Process Automation (RPA) empowers marketing teams to create engaging products with fewer resources by doing the heavy lifting of data analysis and repetitive tasks.

RPA is rule-based technology that produces repetitive work. It uses Artificial Intelligence (AI) technologies such as Machine Learning (ML) and Natural Language Processing (NLP) to behave with human-like judgment during its tasks.

Research by UiPath shows that global workers believe automation makes them more productive, while Forrester reveals a separate study claiming RPA reduces manual errors.

RPA In Marketing Examples

· Automatic Bid Adjustments Another important task that can be automated with RPA is bid adjustments for Pay-Per-Click (PPC) campaigns. In Google Ads, you can schedule ads and optimize their bids to show during specific times when purchase intent among target audiences happens most often. Friday evening is a crucial time to boost the advertising budget. But instead of using an outdated method like bidding, RPA can automatically optimize bids in real-time as events unfold and get the best return on investment possible for advertisers.

· Automating Technical SEO Reports Technical SEO is tedious and monotonous work for the search marketing team. Technical SEO can be a drag on resources if your search marketing team is manually running audits and reports. Automating these tasks will allow them to run constantly in the background so issues are detected right away–before they cause any damage.

· Automatic Lead Nurturing In a world where the buyer decision process is becoming longer every year, brands must shift their focus away from marketing to nurturing leads, or prospects into paying customers. The only way to sustain growth is by automating as much

of the lead nurturing process as possible. This allows sales and marketing teams to focus on turning prospects into buyers.

RPA In Marketing Benefits

· Pricing and Monitoring RPA solutions give sales and marketing departments the ability to track competitors’ websites in real-time without hiring more staff. Departments can get a report whenever there is an update, or email notifications when prices change on targeted webpages for analysis to adjust accordingly.

· Business Intelligence RPA can be used for:

· Identifying and alerting new competitor website entrants as soon as they appear, round the clock.

· Competitors’ campaigns, events, and messages, for sales and product promotions, can be tracked.

· Insights into customer accounts and lapsed accounts can be provided for new opportunities.

· Data Aggregation The robots can be deployed to help your sales staff find the companies they are looking for in order to save them time and hassle. The bots then update CRM with this new contact data, making sure that you never miss out on valuable leads again.

· Monitoring RFP / Bid Sites RPA can be used to crawl any site where business may exist. Businesses that could potentially offer new opportunities for your company, such as bid websites or RFP documents are automatically scanned and submitted with the information on them in real-time.


With automation, you can save time and money by focusing your marketing efforts on the prospects that matter most. You will also get more accurate data with every message because it is always reaching a relevant audience.

Instead of wasting manual resources on segmenting data and qualifying leads, teams can concentrate their efforts on creating and optimizing campaigns that inspire real action.

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RPA Trends In Healthcare

RPA Trends In Healthcare

The health care industry has been progressing and adapting to new technologies every day. Robotic Process Automation (RPA) is one of the newest developments in this field. RPA essentially uses software put on top of existing workflows instead of human workers. RPA does not completely eliminate costs like other technological advancements such as artificial intelligence (AI). But it still can help improve efficiency within healthcare organizations by enhancing their workflow processes through faster processing times and more accurate data input. The benefits are focused patient care and less time worrying about administrative tasks that distract from patient service areas.

Robotic Process Automation (RPA) is utilizing software technologies to perform routine tasks. RPA is a related technology to Artificial Intelligence (AI) but not the same. RPA is a robotic tool that mimics human interaction by doing common work. It performs workflow operations that do not require decision-making and judgments. AI does more of the thinking type of human work. RPA improves workflow by automating common processes. It performs tasks like data entry and filing, which do not require higher level thinking or decision-making skills to execute the job properly.

Appointment Scheduling

Automation in healthcare will make life easier for doctors and patients. To automate the collection of data, RPA bots can automatically create appointments when a doctor has time available. The system would also update patient records with this appointment information to ensure they are correct across all systems used by each practice or clinic.

You can simplify the process using automation through robotics programming tools (RPTs). These tools allow you to complete tasks faster without any human error occurring. Many errors will be eliminated due primarily because they don’t need sleep like humans do. Automating these processes means that less manpower is needed. Automation reduces

operational costs significantly while offering greater accuracy in scheduling procedures within your medical office or clinic.

Account Settlement

Every day, if a healthcare provider receives X number of patients, the hospital staff is expected to manually prepare bills for all these patients. This can include doctor’s consultation fees and costs incurred by different patient categories such as wardrooms and test services.

Automation in healthcare can automate the billing process. Once programmed, this will allow for automated bills which align with services offered to customer and reduce errors –especially due to their accuracy. Less mistakes means less delays and financial loopholes.

RPA technology can automate routine processes like generating billings which enhances accuracy through less human error, along with reduced delays in payments.

Claims Management

Gathering insurance claims data, storing it in the system and processing it without errors is not so simple. For legacy systems or traditional workflows that fall short of maintaining compliance regulations, it can be difficult to remove errors from management workflow. Hence, technical support will need proper attention for better error-free execution and good compliance record keeping.

Here, intelligent automation can reduce errors and speed up the process. The bots automatically populate insurance claim fields with relevant regulatory laws based on each type of insurance claim document that is generated. Once the documents are prepared for filing claims, they may be submitted immediately by healthcare providers due to their error-free nature, which speeds up management processes overall.

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Measuring ROI for RPA

Measuring ROI for RPA

How can you measure the Return on Investment (ROI) for a project? This is a question that many people ask themselves when they are thinking about implementing process automation. There are several ways to go about measuring ROI, but there is one measurement that should be at the forefront of your mind: return on investment (ROI).

RPA is not a new technology. It’s been around for decades, but it’s only now that the benefits are being fully realized. The ROI of RPA can be difficult to measure at first, but there are some simple calculations you can do to determine how much return your investment will yield and what the best course of action should be next.

Robotic Process Automation (RPA) is utilizing software technologies to perform routine tasks. RPA is rule-based technology that produces repetitive work. It uses artificial intelligence (AI) technologies such as machine learning (ML) and natural language processing (NLP) to behave with human-like judgment during its tasks.

RPA is a related technology to Artificial Intelligence (AI) but not the same. RPA is a robotic tool that mimics human interaction by doing common work. It performs workflow operations that do not require decision-making and judgments

There are many reasons to use Robotic Process Automation (RPA) in your company. The first is that RPA can help you cut costs by reducing the number of employees needed for certain tasks. The second reason is that it can improve productivity, which means you will need fewer workers to accomplish the same workload. The third reason is that it allows businesses to expand into new markets by streamlining processes and removing barriers. But how do you measure ROI?

Here are some key measuring principles:

Full-Time Equivalent

One way would be using Full Time Equivalents (FTEs). The definition of FTE is the number of working hours that represent one full-time employee during a fixed time period such as one month or one year. FTE is an important measure for your RPA return on investment. If you are thinking about implementing RPA, it is important to start by measuring ROI. The first step in the process of measuring ROI for RPA is to figure out what an FTE means for your company during a fixed time period –such as one month or one year. The next step is to determine how many hours an employee would have spent on tasks that can be automated through automation software like RPA. The third and final step in the process of measuring ROI for RPA is determining what percentage of manual work has been eliminated due to the implementation of automation software like RPA.


One might think that automation will result in human personnel being unnecessary in the workforce. That is not the case. The true ROI is how employees are freed up to concentrate on higher-value work instead of the mundane tasks that consume their time unproductively. Measurement of ROI for RPA is the hours gained to be put back into higher-value functions. When people are freed from routine processes, they can focus on more productive efforts.

Process Optimization & Lead Time

The start of a work process to the end is the process lead time. This typically requires wait time, which is not productive. RPA can eliminate wasted waiting and preparation time from the process. Some preparation can be done automatically around the clock or overnight to optimize lead time and workflow productivity.

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RPA Vs. API Integration

RPA Vs. API Integration

What Is RPA?

Robotic Process Automation (RPA) is the automating of processes to replace redundant human labor. It is utilizing software technologies to perform routine tasks in a company. It uses bots to perform designated functions. RPA is a related technology to Artificial Intelligence (AI) but not the same.

RPA is a robotic tool that mimics human interaction by doing common work. It performs workflow operations that do not require decision-making and judgments. AI does more of the thinking type of human work. RPA improves workflow by automating common processes. RPA is always improving, with the main advantage over past versions being the Graphical User Interface (GUI). The user experience is more intuitive and friendly.

Robotic Process Automation (RPA) is implemented on the front end of processes. It is a rules-based technology that produces repetitive work. It uses Artificial Intelligence (AI) technologies such as Machine Learning (ML) and Natural Language Processing (NLP) to behave with human-like intelligence during its tasks.

What Is API?

Application Programming Interface (API) is a piece of software technology that interacts with other software technology. It works on the back end of a process as a tool that specifies ways software can interact with an application. It functions to acquire pieces of information and then to serve up those pieces of data for the larger software to act on.

API is software that interfaces with another program. An example is where a flight aggregator program listing airline flight schedules is updated. Various airline companies’ own flight APIs each update the flight aggregator with current data.

RPA Vs. API Integration Differences

· Robotic Process Automation (RPA) works on the front end of a company process. It provides automating of repetitive tasks. It streamlines a company workflow with tireless and accurate bots.

· Application Programming Interfaces (APIs) are deployed on the back end of a company process. It interfaces with the RPA software with individual data input.

· RPA is a surface-level application. It can be used to allow applications to talk to each other.

· API is a coded software integration. It allows applications to talk to each other.

· RPA is inexpensive to implement.

· APIs are expensive and time-consuming to develop.

· RPA runs in the foreground and can be modified easily.

· API runs in the background and are not modified easily.

· RPA is not scalable for a workflow transaction that is high-speed.

· RPA needs a higher degree of maintenance performed as the software requirements change with the business needs.


A key for any company’s growth is an investment in Robotic Process Automation (RPA). The significant value-add tools of Application Programming Interfaces (APIs) will also contribute to success, improvement of productivity, and the savings of time and money. RPA will streamline an organization’s routine tasks and will free up personnel for higher-value concerns. The tedious work can be effectively eliminated. APIs can help with fine-tuning the process of a workflow by providing important and current data updates and allowing applications to interface.

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RPA vs. Hyper-automation

RPA vs. Hyper-automation

Robotic Process Automation (RPA) is using software for the automating of a repetitive task. Hyper-automation adds the more advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), to RPA. These can automate many activities to work in an orchestrated method.

Robotic Process Automation (RPA) utilizes software technologies like Machine Learning (ML) to perform routine tasks in a company’s department. ML is a part of Artificial Intelligence (AI). ML is the ability of computers to learn by using algorithms, which are like digital flowcharts using rules. ML gathers insights from raw data or detects patterns without the computers being specifically pre-programmed towards those goals.

Some describe RPA as a non-invasive technology used to automate a routine task or repetitive process by using robots to emulate human actions.

Two Types Of RPA

· Assisted RPA, where bots are deployed in a desktop PC with the employee providing minimal interactions, and the bot performing the more complex and repetitive processes.

· Unassisted RPA, where a centralized server manages scheduled bots for designated workflows.

Hyper-automation conjointly uses several advanced software technologies such as AI, RPA, Intelligent Process Automation (IPA), and decision management systems. These combine to improvise an orchestrated use of cognitive functioning that goes beyond simple individual process automation. The result is automatic decision-making, predictive insights, and recommendations for specific tasks to be performed using automation. Hyper-automation provides the advanced benefit of employing digital workers that perform human-like interactions and responses. These interactive bots can also be asked questions pertaining to their assigned functions. The questions can also be complex due to the employment of NLP.

RPA Vs. Hyper-Automation Similarities

Use Advanced Software Technologies

The primary function of automating a process that formerly was done by manual labor. Whether it is simple, individualized bots performing perfunctory tasks, or an array of bots managed by a centralized server, the goal is to automate and improve a process free of human error and fatigue.

Improve Performance Efficiency And Save Time And Costs

The investment in intelligent automation technologies will only be a huge gain and value-add for any organization.


Some differences between RPA and hyper-automation are:

· RPA is a repetitive robotic process that does not require human-like judgment. Hyper-automation uses more advanced Artificial Intelligence (AI) systems to manage several RPA applications.

· RPA is an individual business operation. Hyper-automation is a cross-functional collaboration encompassing multiple robotic processes as an orchestrated infrastructure. Hyper-automation goes beyond individual bots by using intelligent automation software to scale multiple automation capabilities across an organization.


RPA can improve an organization’s productivity. Hyper-automation will streamline all the individual automated processes and can provide intelligent orchestration of various tasks. Hyper-automation extends the legacy applications of business process automation, surpassing individual processes. It is the next step to digitally advance the efficiency of an organization’s business operations.

Hyper-automation can enable quick accomplishment of complex work that typically relies on knowledgeable input from employees. Digital workers employed for intelligent automation will enhance the functions of personnel.

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RPA And Process Mining

RPA And Process Mining

Robotic Process Automation (RPA) uses software technologies to perform routine tasks in a business setting. RPA is a related technology to Artificial Intelligence (AI) but not the same. RPA is a robotic tool that mimics human interaction by doing common work. It performs workflow operations that do not require decision-making and judgments. Process mining is the analyzing and monitoring of business processes. Data is gathered through, or mined from, corporate information systems which displays the actual process. It does this by capturing a time-stamp and an event log of each of the process steps. The process mining is accomplished by using strong algorithms combined with advanced data transformation enabling the discovery and improvement of the business processes.

What Is Process Mining?

Process mining is the collecting, analyzing, and monitoring of business processes in the form of event logs. It is a group of techniques combining data science and process management. Event logs provide the records needed to analyze the operational processes. The goal is to gain insights for action and improvements. It is a way to show the real activities of people, machines, and companies.

Process Mining Benefits

· Fast assessments of the processes of the entire enterprise, with high scale. With just the push of a button, minimal human effort is needed.

· Factual analyses of the processes, which are complete and precise.

· Pinpoint inefficient bottlenecks and deviations that prove costly and time-consuming, allowing the company to re-engineer those processes.

· Constantly monitor the processes and measure the improvements.

· Easier compliance with the availability of a full audit trail.

· Any industry can benefit from the process mining technique.

· The process mining technique can be used to analyze almost any business function area where there are customer transactions.

Process Mining Examples

· Accounts Payable Process mining can benefit an organization’s accounts payable department where it processes invoices. By using Machine Learning (ML), processing mining software can automatically extract invoice data, bypassing templates. Invoice costs go down and accuracy improves.

· Accounts Receivable In the collections procedure, customers that are more likely to pay and have invoice value are automatically prioritized. ML can then make cash forecasts based on the data from source systems.

· Procurements Optimize purchase requisition procedure with process mining software by improving purchase requisitions to automatically detect and correct issues such as discrepancies without human intervention.

· Order Processing Process mining software can help automatically detect and resolve order processing problems such as errors and blocks, credit checks that are unnecessary, or price and quantity variations.


Every enterprise has numerous processes for its business, whether using people or machines. The technique of process mining takes an X-Ray of the status and quality of a company’s actual business procedures. Using this information, an organization can see where steps in a procedure need improvement. These problem steps are unnecessary, or bottlenecked, or hindered, or error-prone, or require too much human intervention to be cost-effective and timely. With software tools empowered with ML, processes can be vastly improved, automatically, with touchless corrections

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