Google News
RPA Interview Questions
Robotic Process Automation (RPA) enables businesses to automate tasks across applications and systems, exactly as if they were being performed by a human employee. RPA eliminates manual errors, allowing employees to focus on more strategic tasks.
RPA provides real-time visibility into the finding of bugs and defects. RPA is a software technology that makes it simple to create, deploy, and operate software robots that mimic human movements while dealing with digital software and services.

Robotic Set of codes that mimic human actions are known as Robots.
Process The process can be described as the sequence of steps that creates a meaningful activity.
Automation The process performed by robots without human intervention.
The characteristics of RPA are :
User-friendliness : RPA software are easy to use and comprehensible. The best part is that there is no specific skillset required to operate the software.
Increased efficiency : Since there are no humans involved in RPA, there are barely any chances of human error. As long as the input data is correct, the process will also remain error-free.
Non-disruptive : It is very easy to deploy tasks to an automated robot and perform process transformation.
Coding-free : There is no requirement for employees who understand codes and programming.
There are six steps involves in the process of RPA. These are :
* Identifying the need for automation and the areas where it can be implemented
* Optimizing the processes where there is a need for automation
* Building a business case
* Selecting the right vendor of RPA
* Modeling the development of RPA
* Building expert RPA bots
* Barcode Scanning
* Invoice Processing
* Information Validation
* Open mail and attachments 
* Fill in forms and move files and folders.
* Follow if-then decision rules.
* Connect to system APIs
* Extract structured data from documents
* Make complex calculations
* Monitor manual processes and learn how to automate them
* Copy and paste
* Read and write to databases
* Scrape data from documents
* Login into web/enterprise applications
Reduces costs : One of the important advantages of RPA is the quick reduction in costs. By automating tasks, an organization can save up to 30 percent of their total costs because software robots cost less than a full-time employee.

Reduces operational risks : Some companies prefer to outsource busy work to third party organizations, and this comes with the risk of human errors and inefficiency. RPA offers a better solution—because the work stays in-house, there is less operational risk. 

Quality and accuracy : Processes with a high risk of human error can be automated using RPA systems. These bots are reliable, consistent, and can work tirelessly.

Scalability : With the help of RPA, companies can make adjustments based on changing conditions and can easily scale up or down operations as needed. 

Reduced workload : Automating tasks like report-making can significantly reduce the workload on employees, allowing them to focus on other critical tasks.

Improved customer satisfaction : Since accuracy is increased and operational risk is minimal, customers better quality content.

Improved business results : Since employees are focusing on activities that add more value to the company, robotic process automation enables businesses to achieve better overall results.
Popular RPA tools help professionals configure tasks and build bots to automate them. These include : 
Blue Prism : Blue Prism is a trading name of UK based software corporation, Blue Prism Group. The term 'Robotic Process Automation' was initially innovated by Blue Prism Group. Blue Prism helps organizations to automate repetitive, rule-based digital business processes in an agile and cost-effective manner.
UiPath : UiPath offers Windows-based desktop Robotic Process Automation. It supports a high range of automation in desktop, web, Citrix, and many other applications.
Automation Anywhere : Automation Anywhere is another popular RPA tool. It offers a user-friendly platform to automate complex business processes. It can be used to automate a vast amount of tasks, from basic windows configuration processes to the ultimate networking and remote database processes.
Pega : Pega is an RPA tool that can be used to automate the routine tasks which are repeated in a workflow. It adds the ability to automate tasks using the UI of existing applications. It can be beneficial to speed up manual tasks by automating user actions.
WorkFusion : WorkFusion is a SaaS (Software-as-a-Service) cloud computing platform. It automates the monitoring of data feed and helps you to manage crowd-sourced workers from global talent markets. WorkFusion uses statistical quality control to ensure the accuracy of the work output.
* RPA cannot be used for the processes that require judgment.

* RPA cannot learn from experiences.

* It cannot understand the unstructured inputs that are non-electronic.

* RPA enhances the efficiency of workflows by replacing human tasks with automated tasks. However, there are some limitations to the types of tasks on which it can be implemented.
The various reasons as to why RPA is the world's fastest-growing enterprise software :
* Return on investment is quick and big (ROI).
* It increases employee productivity by diverting them from monotonous duties and allowing them to focus on more productive, revenue-generating jobs.
* Software bots are far more accurate and have higher throughput than humans.
* It has a low-code build environment. RPA tools have a drag-and-drop feature that can be used to automate tasks. Code may be easily dragged and dropped.
RPA does not necessitate any special abilities or skills. Anyone with some basic knowledge or training, which is also of a short period, can become an RPA certified professional. The majority of RPA tools provide a user-friendly platform that can be used to easily automate activities using a flowchart-like layout. RPA tools have a drag-and-drop feature that can be used to automate tasks. Code may be easily dragged and dropped. As a result, users do not need to know how to code in order to automate processes.
To combine different systems, traditional automation relies on application programming interfaces (APIs) and other technologies. The developer should be well-versed in the target system. It is used to carry out programmatic instructions that have been pre-defined.  
Robotic process automation, on the other hand, imitates a user's activities at the user interface (UI) level. The developer doesn't have to worry about the underlying intricacies as long as the bot can follow the steps. It's a non-instructive, scalable, and adaptable system.  It's used to imitate human actions that are repetitive and follow a set of rules. RPA has a short implementation time. When compared to traditional automation, it takes less time. The implementation process takes several months.
The RPA lifecycle is the structure of how automation is delivered and executed. It consists of every one of the phases a bot goes through: from identifying a business process or task to automate through to its deployment as a bot in production and its continuous monitoring thereafter.
RPA lifecycle management refers to how each stage of a bot’s life is managed to ensure that it delivers the value to the business that was expected. It provides a framework for process automation to ensure the bot is designed to fulfill its requirements. It also offers a segmented process to ensure each stage of RPA delivery can be assessed and improved to enhance execution and performance.
There are seven stages in the RPA lifecycle:

RPA Lifecycle Management

1 - RPA Candidate Identification
In this stage, RPA stakeholders identify business processes and tasks that are good candidates for automation. The use of process discovery, task mining, or process mining tools may be used to uncover and produce candidates.
2 - Assessment & Prioritization
In the assessment and prioritization phase, business processes and tasks identified as candidates for automation are assessed and prioritized for design and development. The assessment involves technical feasibility. For example, suppose the task or process requires too many decisions to be made or interacts with too many systems increasing its dependency complexity. In that case, it may not be a good candidate for automation.
3 - Design
Design as a stage in RPA lifecycle management involves defining and modeling the actual process or task to be automated and mapping any dependencies that the automation might have, like the systems it interacts with or regulations that impact it.
The design phase provides a blueprint for the RPA developer to understand what needs to be automated.
4 – Development
In the development stage of the RPA lifecycle, the RPA developer builds the bot in the studio of the RPA platform your automation program has enlisted, according to the requirements and definition provided in the design phase.
Again, using a paper-based document like a PDD is not an optimal mechanism to drive development.
5 – Testing
In this stage, the RPA developer or QA team tests the automated process in a staging or testing environment to ensure it executes and performs as expected.
6 - Deployment
Once testing is completed, the bot is deployed in production and runs as configured in the RPA tool’s orchestrator.
7 - Monitoring & Change Management
In the final stage of RPA lifecycle management, the bot is continuously monitored to assess performance and ensure it runs without any errors.

Source : Blueprintsys 
It goes without saying that RPA isn’t a set it and forget it technology. RPA is essentially software built on top of other software. Each bot has a multitude of interactions with different systems and is impacted by any change to those systems.
Each stage of the RPA lifecycle will impact the bot’s uptime and ability to continually deliver the value RPA promises.
Many of the pain points RPA programs are experiencing today can be traced back to sub-optimal practices during every stage of the RPA lifecycle. For example, bots must be explicitly connected and mapped to their dependencies to enable proactive change management when an impending change to a legacy system or regulation impacts a bot in the future, which it will. This ensures the bot doesn’t just break and sit idle while its break is investigated, corrected, tested, and redeployed.
The good news is that it doesn’t have to be that way. Improved RPA uptime and greater returns are easily attainable with the right solutions and the addition of some best practices in your RPA lifecycle management.
Let's look at the difference between attended and unattended automation.
Attended Automation Unattended Automation
When complete automation of the end-to-end process is not possible, attended automation is used. In this scenario, attended bots collaborate with humans via system-level events that allow them to share data with human workers. Attended robots to optimize tasks by unloading portions of them and assisting in the completion of work. For example, during a live call with people in a bank, an Attended robot can gather data and enter it into another required form. This type of automation completes the task without the need for human intervention. Robots can be actuated by events and schedules in this instance. Unattended robots can work without human involvement 24 hours a day, 7 days a week, 365 days a year. For instance, a batch job to populate data on a server spreadsheet.
Employees activate a bot and interact with it as it provides assistance. Managers can coordinate tasks across internal resources and organize tasks between people and machines. Unattended RPA bots complete tasks on their own, following a set of rules.
Attended RPA bots are right there waiting for staff to activate them anytime they are needed to speed up the process. Unattended RPA bots follow a preset routine or are triggered by logic in the process flow.
Logs are time-stamped files that contain application-related information, error, and warning messages. The following are the two sorts of logs :
* Default logs : Default logs are created by default when a project's execution begins and ends, when a system problem occurs and the execution stops, or when the logging settings are set up to log every activity's execution. This category logs the following events : 

Execution start : It is generated every time a process begins.
Execution end : It is generated every time a process terminates.
Transaction start : It is generated every time a transaction within a process begins.
Transaction end : It is generated every time a transaction within a process terminates.
Error log : It is generated every time execution is ceased by an error.
Debugging log : It is generated if the Robot Logging Setting is turned to Verbose and contains activity names, types, variable values, arguments, and other information.

* User-defined logs : When using the Log Message action or the Write Line activity, user-defined logs are generated according to the process defined by the user in Studio.
Criteria Robotic Process Automation Traditional Automation
Technology It is non-instructive, scalable, and versatile. It is instructive, less scalable, and less versatile.
Use It is used to mimic repetitive and rule-based human actions. It is used to execute the pre-defined programmatic instructions.
Implementation It offers quick implementation. It takes less amount of time as compared to traditional automation. It takes several months for implementation.
Cost It seems costly in starting, but it is cost-saving technology in the long run. It seems cheaper in the starting but costs more in the long run.
Criteria Robotic Process Automation Artificial Intelligence
Use It is used to mimic repetitive and rule-based human actions. It is the simulation of human intelligence in machines that are programmed to think like humans.
Implementation It provides a smooth implementation. It can be set up within a few weeks. It does not provide the smooth implementation. It requires a lot of work to set up and run.
Concept It is based on pre-defined rules that help software bots to mimic human actions. It is based on 'thinking' and 'learning'. It can learn from human actions and make decisions on specific cases.
1. Unattended/Autonomous RPA : Ideal for reducing work like completing data processing tasks in the background. They don’t require any human intervention. These bots can be launched using: 
* Specified intervals
* Bot-initiated
* Data input

2. Attended RPA : These bots live on the user’s machine and are triggered by the user. They can be launched:
* When embedded on an employee’s device
* Automatically based on predefined conditions
* Leveraging an RPA client tool

3. Hybrid RPA : This is a combination of attended and autonomous bots. These bots address front- and back-office tasks in the enterprise 
Bot creator tools, such as Automation Anywhere or UiPath, are used to create bots that are used to automate processes or tasks. The following steps are involved in the creating a bot:
* Record a task
* Complete the bot implementation
* Test the bot
* Upload the bot to perform the automation tasks
Features TaskBot MetaBot IQBot
Core competency Used in frontend Facilitates scalability with next-gen integration Continuous learning and enhancing process automation
Used For repetitive and rule-based tasks In complex and scalable processes To manage fuzzy rules
Example HR administration, procure-to-pay, quote-to-cash, etc. Enterprise-wide automation; requires only minimal maintenance Real-time learning, extracting languages from the given data, etc.
Thin Client : The thin client can be referred to as applications that never acquire the quality properties while spying using any RPA tool. It does not run on a local machine. It runs only on virtual client/server architecture.
Example : VMware, VirtualBox, or any other virtual environment.
Thick Client : The thick client can be defined as the applications which provide handful attribute features using RPA tools.
Example : Apps like notepad, browser, etc.
Here are some :
Telecommunications : RPA can help monitor subscriber feeds, update customer data, manage fraudulent activities, etc.

Banking : A bot can automate the process of the credit card application, loan disbursement, etc.

HR : With the help of RPA, it can get easy to automate payrolls, source prospective candidates, conduct background verification, etc.

Retail : RPA helps manage fake accounts, update orders, manage coupons, process shipping notifications, etc.
Screen scraping is an essential component of the RPA toolkit. It is used to capture bitmap data from the screen and cross-check it with the stored information to decipher it.
* It works on application elements that are not accessible through the code or UI frameworks.
* It provides text digitization through Optical Character Recognition (OCR).
* It is easy to implement and mostly accurate.
Robots Macros
Learn and enhance themselves from repetitive processes Do not learn from repetitive processes
Can act autonomously Cannot act autonomously
Respond to external stimuli and reprogram themselves Do not respond to external stimuli
Highly secured automation Security is not a high priority here
Rich analytical suite - RPA monitors and manages automated functions from a central console. This console can be accessed from anywhere and offers basic metrics on robots, servers, workflows, and more.

Simple creation of bots - RPA tools enables the quick creation of bots by capturing mouse clicks and keystrokes with built-in screen recorder components.

Scriptless automation - RPA tools are code-free and can automate any application in any department. Users with less programming skills can create bots through an intuitive GUI.

Security - RPA tools enable the configuration and customization of encryption capabilities to secure certain data types and defend against the interruption of network communication. 

Hosting and deployment - RPA systems can automatically deploy bots in groups of hundreds. Hence, RPA bots can be installed on desktops and deployed on servers to access data for repetitive tasks.

Debugging - Some RPA tools need to stop running to rectify the errors while other tools allow dynamic interaction while debugging. This is one of the most powerful features of RPA.  
Following are the steps to create an RPA bot :
* First, the task is recorded.
* Then the bot is implemented into the RPA model.
* Then the bot is tested as per the requirements of the business.
* Lastly, the bot is uploaded to perform the automation.
Any automation solution built using a virtual desktop or built to work in virtual desktops is called Citrix automation. It plays an important role in small to large companies like BPO and contact centers where applications are being accessed remotely because of security considerations.
A chatbot is a bot programmed to chat with a user like a human being, while robotic process automation is a bot programmed to automate a manual business process of executing a task or an activity within a business function. 
A chatbot can be used as a medium to feed input to the RPA bot, but it cannot replicate the features of an RPA system.
RPA is a growing technology, and it is spreading into the different sections. The future of RPA is very bright, as several human actions can be automated. Because an RPA does not require any programming skills, therefore, it is easy to start a career in it. Anyone can become an RPA certified professional with some basic knowledge or training.
Bots are created using bot builder software such as Automation Anywhere or UiPath to automate processes or tasks. In order to make a bot, you must go through the following steps :
Record a task.
Finish the bot's implementation.
Put the bot to the test.
To accomplish the automation tasks, upload the bot.

In Robotic Process Automation, there are typically four types of software bots available:
IQ Bot 
Front office bots : These are the bots whose deployment is controlled by the user and which require human intervention. These bots operate from the same computer as the user. They can only be manually activated from local devices and cannot be operated remotely.

Back office bots : The orchestrator can run these bots on closed machines. It's possible that the user isn't actively engaging. Servers can also activate these bots remotely.
Some critical factors to be considered in the planning phase of automation can be described as the following:
* Choosing the right RPA tool
* Selecting the right framework
* Selecting several items, such as in scope and out the scope, based on the task
* Identification of deliverables
Robotic Process Automation provides many tools that can be used to automate several business tasks. Most of the tools include the feature of the process recorder. A process recorder follows the actions of human beings while executing a business process or any other business-related digital task. It is then used to automate the process according to the recorded actions. It is more accurate and comparatively fast than human beings.
A process studio is a feature of the RPA tool that is used to develop the actual flow of the business you want to automate. It includes variables, control loops, and several other business logic that can be sequenced and tested in a visible business flow. The Process Manager is mainly used to implement the rules and logic for the software robots. The processes that are sequenced in the process studio are almost similar to a flowchart.
UiPath Blue Prism Automation Anywhere
It provides free edition/community edition. It provides free edition. It provides a community edition.
It is the most popular RPA tool. This tool is popular than Automation Anywhere. This RPA tool is less popular than others.
There is no requirement of any programming knowledge or coding skills. It allows the user to write codes. However, users can use it without any knowledge of programming or coding. This RPA tool also doesn't require programming knowledge or coding skills.
It allows users to perform desktop, web, and Citrix automation. It is used for Citrix automation in the BPO sector. This RPA tool is reasonable across all mediums.
Surface Automation : Surface Automation occurs when a Robot does a task by mimicking or using the keyboard, mouse, or clipboard, but without connecting directly to the application (particularly using the available connectors). Surface Automation is a type of automation that uses visual techniques such as image recognition, screenshots, and, in certain cases, OCR. Instead of using application-specific APIs and hooks, we leverage visual approaches in Surface automation.
Pros :
 * The RPA application is not overloaded.
 * Since the approach does not employ a direct connection to the external program, the external application's performance is never harmed by this type of automation.
 * Consumes fewer resources (OS resources).
Cons :
 * Coding necessitates more inspections and thorough testing.
 * The connection analysis determines reliability.

Connector-Based Automation : Most applications have a defined way to connect to every RPA product. Essentially, product firms have created connections to handle those external applications as efficiently as possible. Most of the time, these interfaces are adequate for Robots to connect to external apps and do the needed duties. This approach is known as "Connector Based Automation."
Pros :
 * Since connectors are included in the package, they are easier to use.
 * Coding is simpler.
Cons :
 * Connectors might cause the RPA application to become overloaded. More monitor application connectors mean more OS resources (mostly RAM) would be consumed.
 * Connectors for Windows-based applications control the application via 'windows hooks.' Hooking into an application consumes memory and can cause the target application to become less responsive or lag.
 * Connectors loaded throughout execution should be correctly released at the end. Improper coding causes garbage to accumulate in memory, resulting in a significant performance loss.
Despite its advantages, RPA poses certain security concerns. To do some piece of work or automated duties, such as logging into the system or moving data from one application to another, the RPA bot needed privileged access. Bots require credentials to accomplish these tasks, which are kept in a script or a rule-based process. There may be a process to retrieve these credentials from a different site. Because credentials are exchanged and reused so frequently, they are retained unmodified and stored in insecure areas. As a result, attackers can easily obtain RPA credentials and gain privileged access to computers.
These security threats can be mitigated in the following ways :
* You should not save sensitive data in scripts or unsecured areas and should instead utilise some encrypted centralised locations to store these credentials.
* Use the idea of least privilege access for bots, which implies just giving bots access to the applications that they need.
* Admins should secure the RPA console with credentials and monitor session activities, terminating the procedure if any suspicious sessions are discovered.
Key Business Drivers Description 
Increased Speed A bot is usually 5X times faster than humans
Improved Productivity RPA bot never sleeps, its RPA Bot works 24 X 7 X 365 days
Cost Reduction Avg. cost of implementing RPA is less than the equivalent of FTE cost
Adherence to Compliance  Bot enables 100 % accuracy and compliance
High Scalability Bots can be easily scaled up or scaled down to meet customer demands
High Throughput of work  Efficiently execute high volume work
Accelerate transformation. Straight through processing with minimal human involvement
* RPA Process Owner is responsible for identifying, prioritizing and approving the list of processes for automation. Also, responsible for generating usage reports, analytics and bot monitoring.

* RPA Business Analyst/Citizen Developer is responsible for designing and modelling the RPA process using the RPA process modeler.

* RPA Developer- Is responsible for 

* RPA Admin is responsible for the release and deployment of RPA projects into multiple environments such as Dev, Test and production. Also, responsible for any issue logging and monitoring. ​

* RPA Business User is the end-user of the RPA project who is responsible for defining RPA use cases and executing the use cases in runtime.
* Handling highly repetitive and transactional business processes

* High turnaround time resulting in process inefficiency and inaccuracy.

* Non-availability of APIs to legacy systems

* Error-prone due to manual & high-volume tasks

* The huge cost of managing human resources doing similar work.
* Free up customers from a mundane task to perform high value-added tasks.

* Enabling faster time to market with minimal human involvement.

* Adopt a non-invasive mechanism to interact with legacy systems.

* Improved accuracy with minimal error

* Minimized cost with less human involvement.
Bot Process Modeler (ASG-Studio) – Provides the ability to visually build workflows with drag-and-drop, visual editors. ​

Bot Central (Controller) – Provides the ability to orchestrate, schedule and manage the deployments for attended and unattended bots.​

Bot Node (Nodes) – These are machines/nodes which can run single or multiple attended & unattended bots based on the requirement.​

Bot Engine (Engine) – This is an engine that executes the bots deployed in the bot node during runtime.

Bots – These are the actual software bots that execute the processes built during design time.
* Desktop Automation
* Excel Automation
* Word Automation
* Web Automation
* Email Automation
* Database Commands
* OCR Automation
* Recorder Actions
* SAP Automation
* Terminal Automation
* Credential Vault Management
* Exception Handling
* API Commands
* File Operations
Select a process for Intelligent Automation in case of :
* Unstructured Data : Intelligent automation is capable of processing unstructured data (Information that is not organised according to a predetermined data model or schema and hence cannot be stored in a standard relational database system) and has Artificial Intelligence capabilities. Because RPA can automate structured data, Intelligent Automation is a natural fit for a process that employs unstructured data. Machine Learning can handle unstructured data from scanned photos and documents using Optical Character Recognition (OCR) and Advanced Image Recognition.

* Judgment based Process : Intelligent Automation allows for the automation of an end-to-end process that requires minimum human intervention and requires specific cognitive judgements.
The obvious advantage of adopting RPA for email is that it saves time. The RPA functionality in Automate includes a simple drag-and-drop interface that allows IT and business users to rapidly and simply automate email tasks without writing a single line of code. Use Automate to automate email as part of a larger organisational automation strategy. Let's look at some particular ways you can use RPA to save time with email.
Initiation of tasks based on incoming email : Consider the duties you must complete as a result of receiving an email. In a customer-facing position, this can entail reporting order status. In other jobs, you can be responsible for generating sales or management reports. Email automation can handle a variety of activities that arrive in your mailbox without the need for manual intervention.

Automatic routing of attachments from incoming email : Whether it's an invoice, an archival receipt, an Excel report, or another sort of document, you may use RPA to recognise the attachment and process it according to rules. While Outlook automation is available, it is limited by the fact that it can only be used to file emails within Outlook. Your document or Excel could be filed in an EDMS or SharePoint by an RPA bot.

Automating outgoing email : The options for automating outgoing email are nearly limitless. You can also use bots to send emails depending on triggers, which means that an email will only be sent if a specific event occurs.
* Web Automation activities to identify web elements and enact specific web-based activities.

* Enables automation of web-based activities, such as data entry, screen scraping, extract web data to capture and consolidate information, log into websites to extract and read the data.
* Excel Automation helps you to input, read, manipulate, extract, and analyze data in Microsoft excel.
* Excel activities such as Read Cell, Set Cell, Run Macro, Go to Cell, get cell, delete cell etc. 
* Word Automation helps you to input, read, and extract data from Word documents.
* Automates tasks such as insert content copied from a website in a Word document, remove or replace specific content, or convert a Word document to PDF.
* Create a connection to a database using a connection string.

Execute a query on a database and return the query result in a dataset.
* RPA Bot can run API commands using REST Web services activity.

RPA bots can call any external API using the POST method. 

RPA bots can be triggered from external applications using the GET method.
RPA tools use “Try-Catch-Finally” to handle errors during bot executions. 

Try : Enables you to specify an instance or hold an activity that might throw an error.

Catch : Enables you to specify the alternate sequence of activities or optional activity, if the bot encounters an exception.

Finally : Enables you to specify an activity that should be executed if an exception occurs or not during bot execution.
Custom Scripting capability in RPA enables users to create, test, debug and run script developed in the following scripting language in an RPA bot :

* PowerShell
* Batch Script
* Python
* VBScript
* Java Script 

Using this feature an RPA bot can trigger and execute any external scripts either from the Inline editor or from a specified folder in a machine. 
SL No. Robotic Process Automation(RPA) Cognitive Automation 
1 Rule-based, routine tasks Judgement based, Adhoc tasks
2 Structured Data Unstructured, Semi-Structured data
3 Eliminating repetitive, Manual and rules-based process Pattern Identification, Self Learning algorithms, Complex Recommendations
4 Graphical, COTS tools such as UI Path, Automation Anywhere, Blueprism, Workfusion etc Algorithmic(Classification, Regression, Decision Trees etc )
5 Account Opening, KYC, Order processing, Customer service, Claims Processing etc Fraud Detection, Product Recommendations, Next Best Action
The following points discuss the reasons where and why RPA projects can fail :
Failing to realize how dynamic the RPA process is : If the operation is more dynamic, we must determine whether it can operate in a constantly changing environment while still providing correct results. Organizations should seek assistance from Successful RPA Implementation Strategy and Consulting Services if they have not been cleared.

Choosing the wrong automation methodology : RPA works well in places where activities are repetitive and don't require human judgement, such as in the retail and CPG industries. RPA is not for procedures that require human interaction to complete the work, and RPA projects in such situations fail. If the operations have gone through a selection process with the IT, business, and RPA teams, the RPA installation will go smoothly and generate good outcomes.

RPA failing to receive instructions or memos : The RPA is only capable of obeying our provided instructions; it is incapable of learning new things on its own or responding to unforeseen events. As a result, we'll most likely witness an increase in the number of use cases where it's combined with modern technologies. When an RPA project or its bot encounters scenarios for which it was not trained or instructed, the project or bot fails.

Unclear definition of RPA's use strategy : If a Cognitive RPA RPA project asks that a process be made more efficient, there is a risk that RPA will become a stand-alone business function without a solid plan in place. This is why RPA implementations go wrong in the long run. Creating a clear image of how RPA software is used so that it can fulfil the needs of a large number of people.

Setting business expectations that aren't realistic : RPA is a tool that should not be used as the "go-to" solution for every issue. It is still necessary for humans to manage their duties. Taking human intelligence out of the equation will eliminate the issues of Robotic Process Automation that you may face later.

We discovered why Robotic Process Automation (RPA) projects fail in this article. The RPA should be utilized for operations that can be automated using a simple and intuitive user interface for the reasons stated above. Furthermore, striving to automate increasingly complicated processes in a single task or solution may result in a variety of problems. As a result, choking the correct strategy is essential.