1. Why do Insurance Companies need RPA for their Business?
2. Common Challenges and Key Considerations of RPA in Insurance
3. How does RPA help in Insurance?
4. How can TestingXperts help you with RPA services?

Robotic Process Automation in insurance is no longer a choice but a strategic imperative. It is fundamentally transforming the way insurance companies operate, enabling them to stay competitive in a rapidly evolving landscape. RPA in insurance addresses numerous pain points, such as repetitive manual tasks, errors, and slow claims processing, while also reducing operational costs and mitigating compliance risks. It empowers insurers to enhance customer service, providing faster and more responsive interactions, which are increasingly critical in a customer-centric world. Moreover, it facilitates the integration and analysis of vast amounts of data, enabling better risk assessment and management. As insurers grapple with growing demands, fierce competition, and the need for operational efficiency, RPA emerges as the center for success, empowering the industry to operate with greater precision, speed, and agility.

Why do Insurance Companies need RPA for their Business?

According to a report by McKinsey, insurance companies can achieve operational cost reductions of 30-50% by implementing RPA in insurance. Furthermore, a survey conducted by Deloitte found that 78% of insurance executives believe that automation and RPA will have a significant impact on their business.

Failure to adopt RPA can result in inefficiencies, costly errors, and missed opportunities. One notable example is the Equifax data breach in 2017, where the credit reporting company’s failure to automate cybersecurity patching led to a massive breach affecting 147 million people. In the insurance industry, the lack of automation can lead to delayed claims processing, data entry errors, and compliance violations, potentially resulting in financial losses and customer dissatisfaction.

Common Challenges and Key Considerations of RPA in Insurance

Implementing Robotic Process Automation (RPA) in the insurance industry offers the promise of streamlining operations, reducing costs, and enhancing customer service. However, it also comes with a set of common challenges that need to be carefully addressed:

Legacy Systems Integration:

Insurance companies often operate with legacy systems and a diverse technology landscape. Integrating RPA into these systems can be complex. RPA tools need to interact seamlessly with these legacy platforms, which may lack modern APIs or automation-friendly interfaces. Customizations and workarounds are often necessary to bridge this gap.

Data Security and Compliance:

The insurance sector deals with vast amounts of sensitive customer data and confidential information. Ensuring the security and privacy of this data while implementing RPA is paramount. Compliance with industry-specific regulations, such as HIPAA in healthcare or GDPR in Europe, adds an additional layer of complexity. Ensuring that RPA systems adhere to these standards while handling data is a significant challenge.

Complex Processes:

Insurance processes can be intricate and often involve complex decision trees and rule-based operations. RPA bots need to be capable of understanding and handling these intricacies, which can require sophisticated scripting and logic. Developing bots that can navigate the complexities of underwriting, claims processing, and policy administration is a formidable challenge.

Change Management:

Introducing RPA in insurance leads to concerns among employees about the potential for job displacement. Effective change management is necessary to address these concerns and emphasize that RPA is intended to augment human capabilities, not replace them. Staff training and collaboration with RPA systems need to be integrated seamlessly into the work environment.

Regulatory Compliance:

The insurance industry is heavily regulated, and insurers must comply with a myriad of laws and regulations. RPA systems need to operate in accordance with these standards. Ensuring that RPA processes and data handling align with industry-specific laws and data protection regulations can be complex. Continuous monitoring and adaptation to regulatory changes are necessary to avoid compliance issues.

How does RPA help in Insurance?

The RPA addresses a myriad of challenges and provides numerous advantages that redefine the way insurers operate. Here is an in-depth exploration of how RPA helps in insurance:

Automation of Repetitive Tasks:

Insurance processes are often burdened with repetitive, rule-based tasks that are not only time-consuming but also prone to human error. RPA excels at automating these mundane activities, such as data entry, document processing, and data extraction. This automation leads to increased operational efficiency and frees up human resources to focus on more complex and value-added tasks.

Expedited Claims Processing:

Claims processing is a critical aspect of the insurance industry, and the speed and accuracy of this process significantly impacts customer satisfaction. RPA takes over the labor-intensive tasks involved in claims assessment, including data validation, risk evaluation, and payout calculations. This results in faster claims settlements, reducing the time it takes for policyholders to receive their payouts and enhancing overall customer experience.

Enhanced Customer Service:

In today’s digital age, customers expect quick and responsive service. RPA in insurance plays a crucial role in improving customer service by enabling insurers to implement chatbots and virtual assistants. These automated agents are available 24/7 to answer customer inquiries, provide policy information, and assist with routine tasks. The result is an enriched customer experience, with faster response times and personalized support.

Streamlined Underwriting:

RPA automates the data-intensive underwriting process by swiftly collecting, validating, and assessing data from various sources. This automation not only accelerates the underwriting process but also enhances the accuracy of risk assessment. Insurers can make informed decisions regarding policy issuance, leading to improved risk management and customer-centric offerings.

Compliance and Reporting:

Compliance with industry regulations and accurate reporting are imperative for insurers. RPA in insurance ensures that compliance monitoring and reporting are automated, reducing the risk of non-compliance and associated fines. This technology is programmed to perform continuous checks to ensure that insurance operations align with regulatory requirements.

Data Integration:

Insurers work with data from diverse sources and systems, which can lead to challenges in data integration. RPA seamlessly integrates data, ensuring that insurers have access to accurate and up-to-date information. This capability is particularly crucial in the insurance sector, where data accuracy is essential for making critical decisions regarding claims, underwriting, and risk assessment.

Reduced Operational Costs:

Manual processes are often resource-intensive and expensive. By automating routine tasks, RPA significantly reduces operational costs, including labor expenses. This efficiency leads to improved profitability, making insurers more competitive in a dynamic market.

Scalability:

RPA systems are highly scalable, allowing insurers to handle increased workloads without the need for substantial investments in infrastructure or personnel. As insurers grow or face seasonal fluctuations, RPA adapts to accommodate these changes, ensuring that operations remain efficient and cost-effective.

Efficient Document Management:

Insurance operations involve handling vast number of documents, including policies, claims, and legal documents. RPA in insurance is adept at efficiently managing and processing these documents, reducing the time and effort required for document-related tasks. This leads to better document accuracy, retrieval, and management.

How can TestingXperts help you with RPA services?

TestingXperts can be your trusted partner in implementing RPA solutions in the insurance sector. With our deep expertise in automation and a profound understanding of the insurance industry’s intricacies, we can guide you through the entire journey. Our services encompass consultation, strategy development, process assessment, tool selection, bot development, and deployment. We prioritize data security and regulatory compliance to safeguard sensitive customer information. Continuous monitoring and support ensure your RPA bots perform optimally, and we provide training and change management assistance for a seamless transition. With TestingXperts, you can enhance operational efficiency, reduce costs, and elevate customer service by integrating RPA into your insurance processes. Our custom RPA solutions cater to your unique requirements, allowing you to stay ahead in the evolving insurance era.

Consultation and Strategy Development:

TestingXperts can collaborate with insurers to assess their current processes and identify areas suitable for automation. We help develop a tailored RPA strategy that aligns with your business goals, compliance requirements, and operational needs.

Process Assessment and Selection:

We assist in identifying the most suitable processes for automation. This involves evaluating processes based on their complexity, volume, and potential return on investment (ROI).

Continuous Monitoring and Support:

TestingXperts provides ongoing monitoring and support for RPA bots, ensuring they perform as expected. We can make adjustments and improvements to bots as needed to maintain their effectiveness.

Change Management and Training:

We assist in change management initiatives to ensure a smooth transition to RPA. Our training programs help employees adapt to working alongside automation and understand the benefits it brings.

The post RPA in Insurance – Better Processes and Improved Productivity first appeared on TestingXperts.

An Overview of UiPath FORWORD VI

The FORWARD VI conference is an exciting platform where industry pioneers meet to discuss the concepts and tactics influencing the direction of automation. It is an opportunity for the business executives to learn about the UiPath vision for the future of AI and how automation powered by AI is transforming industries.

The conference promises to offer deep insights into the latest trends, cutting-edge technologies, and real-world applications of RPA. Attendees get the opportunity to engage with visionary speakers, participate in interactive sessions, witness live demonstrations, and connect with like-minded professionals, all contributing to a vibrant atmosphere of learning and growth. It’s a gathering of automation aficionados, a celebration of innovation that shares UiPath’s commitment to driving the RPA revolution forward.

UiPath Test Suite and its significance in the world of RPA and test automation

UiPath Test Suite is a transformative tool in the sphere of Robotic Process Automation (RPA) and test automation. It represents a powerhouse of tools designed to elevate the testing process within the RPA landscape. This suite offers a unified platform for orchestrating, managing, and executing end-to-end testing seamlessly integrated with RPA workflows.

Its significance lies in its ability to deliver comprehensive testing capabilities, ensuring RPA solutions operate flawlessly across diverse scenarios. From functional validation to regression testing, UiPath Test Suite empowers developers and testers to scrutinize every facet of automation, driving efficiency, reliability, and precision. By promoting reusability and collaboration while providing robust reporting and analytics, it not only optimizes the testing workflow but also paves the way for a new era of accelerated, high-quality RPA implementations. UiPath Test Suite speaks of UiPath’s commitment to excellence, assisting in a future where RPA operates at the pinnacle of efficiency and dependability.

RPA and its Importance in Modern Software Testing

Robotic Process Automation (RPA) stands at the forefront of a technological revolution, redefining how we approach modern software testing. Imagine software robots mimicking human actions to navigate applications, execute repetitive tasks, and validate functionalities seamlessly.

RPA has emerged as a revolutionary, allowing testing teams to automate monotonous, rule-based tasks, and significantly enhance efficiency, accuracy, and speed in the testing process. By automating routine tasks, testers can shift their focus to higher-value activities like crafting comprehensive test strategies, identifying critical issues, and ensuring a superior user experience. Thus, RPA’s importance in modern software testing cannot be overstated—it’s the catalyst for a shift towards smarter, more efficient testing methodologies, ultimately delivering superior software products to users worldwide.

The Power of Integration: RPA and UiPath Test Suite

The integration of RPA and UiPath Test Suite represents a revolutionary leap in the world of test automation, elevating efficiency, precision, and scalability to unprecedented levels. When RPAs mimick human actions and automate repetitive tasks seamlessly merged with the rich testing capabilities of UiPath Test Suite, the result is dynamic. It can execute end-to-end testing with unmatched finesse. RPA, with its ability to replicate human interactions, ensures a true simulation of user behavior, while the comprehensive functionalities of UiPath Test Suite enable rigorous testing across diverse scenarios and platforms. This symbiosis allows for not only accelerated test case execution but also the validation of complex business processes, delivering a comprehensive and robust approach to software testing.

Furthermore, this integration optimizes the entire testing workflow by focusing on reusability and collaboration. Automation scripts and test cases created within UiPath Test Suite can be efficiently integrated into RPA workflows, saving time and effort by avoiding redundant work. The collaborative environment ensures seamless communication and coordination between development and testing teams, promoting an agile and iterative approach. Additionally, the consolidated reporting and analytics capabilities provide clear insights into testing results, enabling informed decision-making and continuous improvement. The amalgamation of RPA and UiPath Test Suite is the epitome of a synergy that not only amplifies the efficiency of test automation processes but also sets new standards for testing precision and excellence.

How UiPath’s features and capabilities are suitable for implementing RPA-based test automation

UiPath, as a leading RPA (Robotic Process Automation) platform, offers a robust set of features and capabilities that make it highly suitable for implementing RPA-based test automation. Here’s a detailed discussion on how UiPath’s offerings align with and enhance RPA in the context of test automation:

Intuitive Interface and Ease of Use: UiPath provides an intuitive and user-friendly interface, enabling testers and automation engineers to easily design, develop, and maintain automated test cases. Its low-code/no-code capabilities ensure that both technical and non-technical users can create automation scripts efficiently.

Advanced AI and ML Capabilities: UiPath incorporates AI (Artificial Intelligence) and ML (Machine Learning) capabilities, which can be leveraged for smarter test automation. AI-powered features can assist in dynamic element identification, data validation, and predictive analysis, enhancing the overall test automation process.

Versatile Automation: UiPath is highly versatile and supports automation across a wide array of applications, technologies, and platforms. This flexibility is crucial in the context of test automation, where applications may use diverse technologies, and the automation tool needs to adapt accordingly.

Scalability and Performance: UiPath offers scalability, enabling the automation of a large number of test cases concurrently. This scalability is crucial for handling extensive test suites and ensuring timely execution of tests.

Robust Integration Capabilities: UiPath offers seamless integration with various testing tools, frameworks, and CI/CD (Continuous Integration/Continuous Deployment) pipelines. This allows for a smooth integration of RPA-based test automation into the existing testing ecosystem, enhancing efficiency and collaboration.

TestingXperts: A Key Player in RPA-Based Test Automation

TestingXperts has been accorded the recognition of a “Leader” in NelsonHall’s NEAT Vendor Evaluation for Quality Engineering in 2023, specifically in the domain of RPA-based test automation. With a sharp focus on RPA-based test automation, TestingXperts empowers its clients to accelerate their time-to-market, significantly lower testing costs, and elevate software quality.

UiPath Test Suite combines leading RPA technology with state-of-the-art test automation capabilities to deliver:

• A single unified enterprise automation platform to achieve higher automation rates and faster time to market

• A test automation solution built on the familiar UiPath paradigm – Intelligent and comprehensive reporting and analytics

• A low-code test automation platform that does not require testers with deep coding skills

• A solution that leverages licensing investment across RPA and test

• The easy development of end-to-end tests across applications

• Ability to enable risk-based testing when combined with UiPath Process Mining

• Ability to develop and implement automation from a holistic perspective: Robotic Process Automation + Test Automation = Automation

• Significant artifact reuse – what is developed for testing can be reused for RPA thereby turning QA into a profit center

TestingXperts’ UiPath Test Suite Test Centre of Excellence (TCoE)

TestingXperts, Gold and USN certified partner of UiPath has developed Test Centre of Excellence in collaboration with UiPath. Our shared goal of improving test automation for a quicker time to market and more business value is the foundation of our endeavor. We’ve created assets and accelerators within the TCoE that strengthen UiPath Test Suite’s integration with our client’s environment. These accelerators are made to simplify the implementation procedure and guarantee a perfect fit with the client’s environment. For our clients, the CoE has been a pillar in allowing effective, dependable, and agile automation operations.

Our collaboration with UiPath has already yielded impressive results, showcasing the expertise of this cutting-edge technology. By leveraging UiPath’s RPA capabilities, TestingXperts has successfully enhanced automation initiatives for clients, resulting in up to 70% faster time-to-market and up to 96% reduced regression test coverage. The implementation of UiPath technology has propelled our clients towards a future where efficiency, accuracy, and innovation converge harmoniously.

How TestingXperts create a difference with its extensive UiPath capabilities?

Here are a few differentiators to set Tx apart:

• Early adopter and preeminent partner for Test Suite

• NextGen QA Company with statistical approach to AI/ RPAtesting

• DevOps ready framework using UiPath Test Suite to accelerate deployment

• Working closely with UiPath Test Suite team to create out of the box solutions for automation using UiPath

• 100+ trained/certified employees

What TestingXperts is Planning to Deliver at UiPath FORWARD VI?

As a proud participant, TestingXperts is primed to showcase its deep understanding and proficiency in leveraging UiPath’s transformative RPA solutions. Engage with our CEO, Manish Gupta, COO, Joe Underwood, as they share invaluable insights on how the amalgamation of AI and Automation can reshape businesses.

• Explore our enriching discussions, focusing on the latest trends, challenges, and opportunities in the RPA landscape.

• Witness firsthand how TestingXperts, in partnership with UiPath, is revolutionizing test automation through our Tx-UiPath Test Suite Center of Excellence (CoE).

• Discover the future of automation and how we can empower your organization to innovate and excel using the power of RPA and AI.

Don’t miss this exciting opportunity to connect, learn, and envision a future where automation is not just a tool, but a strategic imperative. TestingXperts is excitedly looking forward to meeting you there.

The post Explore the Capabilities of UiPath Test Suite at UiPath FORWARD VI first appeared on TestingXperts.

Content 1. The Current State of Insurance – A Quick Overview 2. Importance of AI in Insurance 3. Business Benefits of AI in Insurance 4. Importance of RPA in Insurance 5. Business Benefits of RPA in Insurance 6. Role of AI and RPA in Modernizing the Insurance Ecosystem 7. Conclusion 8. How TestingXperts Helps Insurers with Effective AI and RPA Implementation

The Current State of Insurance – A Quick Overview

The insurance industry has been growing rapidly in recent years, driven by advancements in technology and changing customer expectations. Some of the latest trends in today’s insurance industry include the use of artificial intelligence and machine learning to underwrite and price policies, the adoption of telematics and IoT to gather data on customer behavior, and the increasing use of mobile apps and online platforms for purchasing and managing insurance policies.

A report by Statista states that the industry will grow at a compound rate of around 9% percent per year, reaching almost $8.4 trillion in 2026. Overall, the insurance industry is undergoing rapid change and is expected to continue to grow and evolve in the coming years.

Importance of AI in Insurance

AI has become an increasingly important tool for insurance businesses. It has helped revolutionize the insurance industry by providing more efficient, cost-effective, and accurate solutions. AI enables insurers to better understand customer behaviour and preferences, identify trends in data, automate processes, reduce fraud, and increase customer satisfaction.

By leveraging AI, insurers are now able to access large amounts of data quickly and accurately, allowing them to make more informed decisions about risk assessment and pricing. AI-driven algorithms help insurers analyze large datasets faster than ever before and make better decisions about risk management. This ability leads to improved profitability by reducing losses from claims or other risks. Additionally, AI helps identify fraudulent activities more quickly and accurately than manual processes.

AI also plays a role in automating various processes within the insurance industry such as underwriting and claims processing. Automation reduces costs associated with manual labour while increasing accuracy and efficiency. Moreover, AI-driven chatbots allow customers to resolve their queries quickly and without having to speak with a customer service representative.

Business Benefits of AI in Insurance

AI has numerous potential benefits for businesses in the Insurance sector, including the following:

Improved Customer Service:

AI can be used to provide customers with faster and more personalized service. Chatbots powered by AI can answer customer questions quickly and accurately, allowing them to get the information they need without having to wait for a human representative. Additionally, AI-powered analytics can help insurers better understand customer needs and tailor their services accordingly.

Reduced Costs:

AI-based systems require less manual labor than traditional methods of providing insurance services. This means that businesses in the Insurance sector can save money on labor costs while still providing high-quality service to their customers. Additionally, automated systems are more efficient than manual processes, which further reduces operational costs for insurers.

Increased Efficiency:

By using AI-based systems, insurers can process claims faster and more accurately than ever before. This allows insurers to provide quicker service to their customers while reducing overhead costs associated with manual processing. Additionally, automated systems are able to identify patterns in data that would otherwise go unnoticed by humans, allowing insurers to better predict future trends and adjust their strategies accordingly.

Accurate Pricing:

AI-based analytics allow insurers to better understand market trends and pricing dynamics so that they can set prices that accurately reflect customer needs and preferences. This helps ensure that customers are not overcharged for coverage or undercharged for riskier policies. Additionally, automated systems are able to identify fraud more quickly than manual processes, which helps reduce losses due to fraudulent claims or activities.

Importance of RPA in Insurance

RPA has the potential to revolutionize how insurance companies operate, by automating mundane, repetitive tasks and streamlining processes. This helps reduce costs, increase efficiency, and improve customer experience.

Insurers are able to respond quickly to changing market conditions and customer needs. By automating manual processes and reducing time-consuming paperwork, insurers can focus on more strategic initiatives that will help them better serve their customers. Additionally, RPA provides access to real-time data that can be used for analytics and predictive modeling. This data helps insurers make informed decisions about their products and services.

RPA also helps insurers with compliance requirements by automating routine checks of policies and procedures. This helps ensure that all regulatory requirements are met promptly, reducing the risk of costly fines or penalties due to non-compliance.

Business Benefits of RPA in Insurance

Here are the key business benefits that RPA can bring to Insurance:

Improved Efficiency:

RPA automates mundane and repetitive tasks, freeing up time for employees to focus on more complex tasks. This can help reduce operational costs and improve overall efficiency.

Increased Accuracy:

RPA eliminates human error by allowing machines to take over manual processes with greater accuracy and speed than humans can achieve. This can help reduce errors in data entry and other processes, resulting in better customer service and improved customer satisfaction.

Reduced Risk:

By automating processes, RPA reduces the risk of fraud or data breaches, as well as reducing the risk associated with manual processes such as paperwork errors or lost documents.

Improved Compliance:

RPA can help ensure that processes are followed consistently and in accordance with regulatory requirements.

Faster Processing Times:

By taking over manual tasks, RPA allows insurance companies to process data faster than ever before, enabling them to respond quickly to customer inquiries and provide timely solutions to their customers’ needs. This helps build trust with customers, which is essential for any successful business in the insurance industry.

Role of AI and RPA in Modernizing the Insurance Ecosystem

The integration of AI and RPA (Robotic Process Automation) into the insurance ecosystem is playing a crucial role in transforming the insurance industry. AI and RPA are providing insurance companies with the ability to automate repetitive tasks, improve customer experience, and streamline processes, ultimately leading to increased efficiency and cost savings.

The collective role of AI and RPA in the insurance ecosystem is invaluable. By automating mundane tasks and providing more personalized services through chatbots, these technologies can help insurers reduce costs while increasing efficiencies across the board.

In addition to this cost savings benefit, AI-based technologies are also helping insurers better understand their customers’ needs so they can tailor their products accordingly, leading to improved customer loyalty in the long run.

Conclusion

Every industry is reshuffling its business model to accommodate the paradigm shifts created by advancements in technology. It means that the insurance sector is no exception. Their most important need of the hour is the technology that helps them automate their current process flows.

AI and RPA are playing a crucial role in transforming the insurance ecosystem, providing insurers with the ability to automate repetitive tasks, improve customer experience, and streamline processes. This ultimately leads to increased efficiency and cost savings, and the ability to better compete in the ever-evolving insurance landscape.

How TestingXperts Helps Insurers with Effective AI and RPA Implementation?

TestingXperts (Tx) has extensive experience in the insurance industry, providing advanced and specialized QA and software testing services to its global clients. With deep knowledge of the insurance domain, our in-house AI accelerators and RPA-based automation frameworks ensure scalable and reliable insurance products. We strive to stay abreast of changes in the agile and DevOps projects within the insurance market while meeting regulatory compliances and delivering high-quality solutions for an improved customer experience (CX).

Our Range of Insurance QA Services Includes:

• Functional & Automated Testing

• Mobile App Testing

• RPA Testing With Bots

• Database Testing

• Integration Testing

• Security Testing

• Accessibility Testing

• Usability Testing

• AI-Based Testing

• Performance Testing

• ETL Testing

• Insurance Test Center of Excellence (TCoE)

TestingXperts’ AI Testing Differentiators

• Expertise in using AI in Test Automation with partner tools and in-house accelerators

• Experienced teams in major tools to focus on intelligent automated continuous testing

• 30+ person-years of experience in using various tools for providing Intelligent Automation Solutions

• Extensive experience in enabling CI/CD pipeline using industry tools – based on Tx-DevOps accelerator

• 100+ Test consultants for next-gen tools

TestingXperts’ RPA Testing Differentiators

• Lesser maintenance effort with overall 30% cost savings

• Team of certified RPA testing professionals

• Experience in testing bots using the best methods and processes

• Assured quicker ROI with optimized bot performance

The post How are AI and RPA Modernizing the Insurance Ecosystem first appeared on TestingXperts.

Today, enterprises benefit widely by leveraging test automation to get faster releases, improve product quality, enhance productivity, and have a quicker ROI. While many other businesses are leveraging Robotic Process Automation (RPA) to automate their business processes, free up resources, improve operational efficiency and reduce manual tasks. So effectively, RPA and test automation are the two strong pillars that businesses leverage to add on many benefits. But both have many differences with respect to their primary objectives, which have been detailed in this blog.

Test Automation and RPA functional overview

Test automation is the process that involves the usage of automation tools (Open source and Commercial) to develop test scripts based on use cases, help maintain test cases, execute them and finally analyze the test results. Software test automation ensures faster releases as processes are automated without much manual interference and delivers quality releases.

RPA is best suited for enterprise business process automation to improve the operational efficiency of the processes as bots are employed instead of humans. The wider adoption of RPA can be attributed to increased efficiency with minimal human intervention as a software bot is trained to perform tasks and interprets actions seamlessly.

An overview of Test automation

Software test automation is an important aspect of DevOps-driven projects that facilitates continuous delivery and continuous testing. Test automation helps to assist developers and testers automate repetitive tasks to save time and increase test coverage. QA engineers use various automation tools and frameworks to validate the system’s functionality. If QA engineers were to execute these tests manually, the test results may take longer hours, be prone to errors, and might sometimes overlook bugs. Automation testing allows QA engineers to run the tests over different environments and devices repeatedly. As the QA and testing ecosystem has evolved, automation testing has become a critical aspect of quality assurance and delivers many benefits for enterprises.

1. Reduces cost:

Companies leveraging automated software testing bring down the overall cost, resource utilization, and time and lowers overall QA costs up to 60%.

2. Faster Testing:

Automated testing needs little to no human intervention. Once set up, multiple tests may be executed at once, and teams can have detailed reports in less time and reduce QA cycle times by 80%

3. Faster feedback cycle:

Using test automation tools, QA engineers can provide feedback to the DevOps department faster and enhance the overall efficiency.

4. Faster time-to-market:

As the testing process is automated, automation engineers have more time to create better and more in-depth tests that increase the test coverage. Thus, time is saved with continuous testing, leading to shorter product launches and invariably results in faster time-to-market.

5. Larger Test Coverage:

An overview of RPA

RPA is the process of imitating an end-user on the app or software and performing the same tasks automatically. Artificial Intelligence and Machine Learning algorithms are implemented for the process, which learns the patterns from the actions of the users. RPA is achieved when bots with custom and diverse capabilities, adapt as per the user actions are then convert them into actions. These actions are then executed when required and without the user. Organizations use RPA due to its wide range of business benefits.

1. Operational efficiency:

RPA bots do not need a break and can work 24/7 and 365 days a year

2. Time-efficient:

RPA-based bots are highly efficient in bringing down the time taken to complete the designated tasks

3. Accuracy in results:

RPA bots deliver with a high accuracy rate and work without fatigue like any other machine-led tasks

4. Cost-effective:

RPA can reduce operational costs by automating key IT processes

5. Secure and reliable:

In the case of RPA, information is exchanged through secure paths. Hence, the chances of any data leakage or security breaches are minimal

6. Data and analytics:

Analytical data offered by RPA is error-free and can be considered for future business planning

7. Optimal Resource Utilization:

Some Use Cases of Test Automation

Banking

• Authenticate customer login through both valid and invalid data

• Ensure that the user can update the balance and make deposits into the new account

• Verify that authentication works as expected and users are redirected to the dashboard

• Ensure all the links of different modules are functional

Insurance

• Ensure that customers can enroll in the policy benefits

• Verify that the application or software can make changes to the customer’s details and that the same is updated in the database

• Verify that users can cancel the policy

• Ensure that users can make payments through all modes like NEFT, Cheque method, etc.

• Verify that the claims are settled successfully.

Healthcare

• Ensure that members can be enrolled, reinstated and terminated.

• Verify that the correct details like account number or address are chosen for a member, service provider, and broker.

• Since healthcare apps generate reports across different formats such as HTML, PDF, and text, verify that the report is easily accessible to the respective users.

Some Use Cases of RPA

Banking

• Optimize critical processes such as replacement of lost or stolen cards, charge processing billing and payments, and blocking cards on customer requests

• Automate the regular operations of the KYC process and improve security and compliance

• Improve the client verification process by fetching and displaying the required customer service documents on a single screen

Insurance

• Verify the NCB slab by referring to the status from previous policies

• Collect data from all the necessary sources to process claims at a faster pace

• Read and process data for details and update the database regularly

Healthcare

• Schedule patient and doctor appointments

• Collect data from each stakeholder and strengthen collaboration between internal and external stakeholders. Centralize the process to perform efficient auto-billing that promotes cost and time savings.

• Ensure the overall system is compliant with all the industry standards by identifying and removing the exceptions using bots

• Optimize claims processing by tracing and auditing payments using simplified bots

RPA vs Test Automation – Key Differences

The following table compares RPA vs Test automation. It will help in understanding how these two technologies differ from each other.

Conclusion

Test automation and RPA are used by enterprises to ensure faster and quality releases and automate business processes, respectively. These strategies revolve around automation and may sound similar but are different based on various factors and modes of working. Test automation aims to automate the test scenarios, while RPA strives to automate the business processes. In the case of RPA, processes are automated by mimicking the tasks and actions performed by a human by leveraging AI and ML. Further, test automation works on test scripts created over strict rules, focuses on different software QA and testing scenarios, and leverages various automation testing tools. Leverage test automation and RPA testing services from next-gen testing services providers for superior outcomes.

Our Test automation framework- Tx-Automate

Tx Automate framework is a modular, reusable, integrated, and compatible framework with new components which can be easily accommodated without affecting existing components. The Tx-Automate architecture has BDD Framework, Plug & Play Framework mode, Test Management, Bug Tracking, Test Libraries, Browser Support, and Code Quality Checks.

Business benefits:

• Shorter design time: Over 40% reduction in test design time using pre-automated test scripts

• Reduced maintenance costs: Over 20% reduction in maintenance costs due to reusability of the framework across multiple applications

• Faster time to market: Up to 90% reduction in cycle time and improved test execution productivity leading to an overall 10% reduction in time to market

• Better decision making: Improved visibility due to comprehensive test reporting allows for more accurate strategic decisions

• Consistency of automation across the organization: Consistent and standardized automation across the enterprise results in better efficiency and utilization of resources

• Higher development productivity: Enabling process automation and suite integration within the development cycle, leading to better productivity

• Single framework with the capability to automate Web, Mobile applications, and APIs

Our UiPath RPA Framework (Tx Robot-led Test Automation Framework Powered by UiPath)

Important Features:

• DevOps ready

• Integrates with various third-party tools like JIRA, Jenkins

• Designed using Page Object Model

• Contains many components and integrations

Business Benefits

• Jumpstart automation within no time

• Loosely coupled DevOps ready framework that helps in integrating ALM Defect tracking and CI/CD tools

• Readily available libraries and reusable assets

• Accommodates new components and processes without impacting existing components

• Eliminates human-prone errors

• Robots developed with this framework are used to create complex automation test scenarios for web, mobile, desktop, and APIs

• Reduced Man hours by 90%

• Even manual testers can create test scripts using robots

The post 8 Key Differences Between Test Automation and RPA first appeared on TestingXperts.

UiPath’s Robotic Process Automations are integral to enterprises in ensuring better accuracy, improved compliance, significant cost savings, super scalability, together with increased speed and productivity.  Often the push from many COOs is to get RPA robots live as soon as possible, sometimes even before it has been assured that they are ‘doing the right thing and doing the thing right.’ This exposes the business to one level of risk and affects the potential benefits and ROI.

CIOs/CTOs must treat RPAs like any other business application and manage their development and maintenance lifecycle by placing the SDLC governance in place. Automated CI/CD and regression testing of the robots should be central to this governance model. Moreover, this needs expedient diagnosis as to why RPAs will stop/have stopped working correctly.

Future Automation Platform – RPA with UiPath Test Suite

Keeping these above facts in mind, let us have a sneak peek into the recently concluded webinar:

An exciting and captivating webinar on ‘Preparing your IT organization for the future Automation Platform by combining RPA with UiPath Test Suite’ was jointly hosted by TestingXperts and UiPath. The entire webinar was convened and hosted by James Greaves, Director UK & Europe, TestingXperts. He started the webinar with a warm welcome to all the participants and the panelists. He introduced the panelists, Nick Blamey-Sales Specialist EMEA, UiPath Test Suite, Rick Crosby-Pre-Sales Leader UK&I, UiPath Test Suite, Amar Jamdhiar– AVP Delivery & Innovation, TestingXperts, and Ajay Bezawada-Test Architect, TestingXperts, to the webinar participants.

An overview of sessions delivered by each panelist

Nick Blamey’s session overview

• Explained in detail about the large customer base of around 8000+ customers of UiPath across the globe and the value it delivers to its customers

• Briefed how the leading research analysts like Gartner, Forrester, and IDC have marked UiPath RPA Solution as the leading enterprise Test Automation Platform

• Detailed about the incredible enterprise test automation platform (UiPath Test Suite) and how it delivers a unified solution for testing all kinds of applications, and how it eases testers efforts significantly with drag and drop events

• Expressed that UiPath is excited to have its partnership with TestingXperts (Tx), a next-gen software testing services provider with a great in-house team of RPA and UiPath Test Suite experts

Rick Crosby’s session overvriew

• Explained in detail How UiPath is a unified solution and how it delivers the real RPA value to headstart test automation

• Stated that UiPath is the industry leader in the RPA market and talked about fuzzy selectors

• Stated that UiPath is constantly innovating for process mining to get better outcomes

• Detailed about the features of UiPath Test Suite and its benefits:

— Enterprise automation capabilities

— Open architecture with application lifecycle management

— Integration with Azure DevOps pipelines

— Support across numerous plugins for Jenkins and Azure

— Automations are reusable across the enterprise

— Easy test case building with drag and drop

— Delivers production-grade orchestration

— Easy Locking and management

— Easy test execution with robots

Amar Jamadhiar’s session overview

• Explained about the reusability in UiPath Test Suite

• Mentioned that UiPath brings in about 25% effort savings if RPA components are built and resued in application test automation.

• Also mentioned about the challenges today’s CIOs face towards testing of enterprise-wide processes, which includes RPA processes and applications

• Threw light on some of the challenges like huge reliance on manual testing, which tool to choose from among, how to handle various test automation challenges, especially the latest interoperability challenges due to distributed systems, the issues with masking production data, and the need for synthetic data and many more

• Discussed at length that all the above challenges of CIO/CTOs and testers can easily be solved by leveraging Tx’s Robot-led Test Automation Framework developed using UiPath Test Suite

• Listed many advantages of using this new framework:

— Easy test case building with drag and drop

— The devOps-ready framework can be used to test all apps, mobile apps, Citrix env, SAP apps, EAS, as well as RPA bots and processes

— Used to create synthetic data

— Easy to learn and setup

— Existing assets can be easily integrated into this framework

— Migration of scripts from any open source or commercial automation tools is possible

— Easily integrates with Tx-accelerators

— In the end, Nick Blamey gave some insights into UiPath Use cases, business value it generates, ROI it delivers, and explained with some prominent case studies.

Ajay Bezawadadelivered a real-time demo on the UiPath Test Suite of TestingXperts to all the participants. He listed the numerous benefits of the UiPath Test Suite:

• No special coding skills are required

• Easy to learn and set up even for Graduate Test Engineers

• Used for data-driven and application side testing

• UiPath Studio Pro is used to write scripts as libraries are built on it

• UiPath Test Manager is used to manage test cases

• UiPath Test Suite Orchestrator is used to execute tests

• Drag and drop events ease tasks

• Validations are seen on BrowserStack

• API testing can also be done in the same IDE along with others

• Testers can perform executions in any machine such as Safari, iOS, Mac, etc.

• Reporting exists in multiple formats

Towards the end of the webinar, a Q&A session was conducted, and the panelists answered questions raised by the participants.

The post Preparing your IT Organization for Future Automation Platform by combining RPA with UiPath Test Suite first appeared on TestingXperts.

Automation and Artificial Intelligence (AI) have revolutionized how businesses work across industries. Today, businesses continue to deploy AI technologies within their operations to improve operational efficiency and reap tangible benefits. Rapid advancements in technologies and automation have built wider advancement with the integration/collaboration of both AI and automation named Intelligent Automation. This new advanced technology is simply the outcome of AI and automation coupled with human intelligence. It is now widely used across industries, and its usage is expected to rise manifold in the coming years.

Content 1. What is Intelligent Automation? 2. What is the Significance of Intelligent Automation for Businesses? 3. What are the top Trends in Intelligent Automation for 2022? 4. Intelligent Automation Predictions for 2022 5. Conclusion

What is Intelligent Automation?

Intelligent Automation, also known as cognitive automation is a combination of next-gen technologies like Artificial Intelligence (AI), Business Process Management (BPM), and Robotic Process Automation (RPA). Along with these technologies, Intelligent Automation also utilizes some more intelligent technologies like Analytics, Optical Character Recognition (OCR), Intelligent Character Recognition (ICR), Machine Learning (ML), Deep Learning (DL), Natural Language Processing, Process Mining, etc. Together, these technologies enable end-to-end business process automation, accelerate digital transformation for businesses, and streamline their decision-making process across the organization to improve operational efficiency.

According to Analyticsinsight, “With digital transformation, intelligent automation has gained immense importance mainly for process management to orchestrate users, tasks, systems, and robots (RPA) depending on the business needs at each moment. Intelligent Automation contemplates the use of analytics and AI (especially machine learning) to make automated and intelligent decisions, and case management to provide processes with enough flexibility for end-to-end case management success.”

What is the Significance of Intelligent Automation for Businesses?

1. Increases process efficiency:

Intelligent Automation reduces human prone errors, increases processing speed, regularizes outputs, and ensures accuracy.

2. Ensures service continuity & greater CX:

Robots can work 24/7 without manual intervention; thus, Intelligent Automation ensures continuity of services under all situations and delivers a more excellent customer experience (CX).

3. Enables effective monitoring and fraud detection:

Intelligent systems can easily detect suspicious activities such as frauds and alert users to prevent the same.

4. Frees up employees from repetitive tasks:

Leveraging Intelligent Automation frees employees from repetitive tasks and helps them focus on other high-priority tasks.

5. Helps to save costs and time:

By leveraging intelligent technologies and systems, businesses can reduce their team size, achieve operational efficiency, and save time and cost significantly.

6. Ensures traceability of data:

Cognitive automation helps businesses achieve full traceability of their data and processes from start to finish. It can also improve analytics and help business leaders during financial audits.

What are the top Trends in Intelligent Automation for 2022?

1. Adoption of collaborative bots:

Collaborative robots or cobots are the types of robots intended to interact with humans in a shared workplace physically. From lifting heavy weights in warehouses to intelligently removing obstacles from assembly lines, these cobots assist humans in smart factories. These bots are greatly helping small businesses as they do not require large floor space and high personnel assistance to program and maintain them, unlike large robots. Industries are rapidly using the robots to help address the lack of labor resources, automate repetitive tasks, maintain quality, etc. In the coming years, it is expected that the adoption rate of robots will significantly increase across industries.

According to MarketsandMarkets, the collaborative robot market size is expected to grow from USD 1.2 billion in 2021 to USD 10.5 billion by 2027 at a CAGR of 43.4% from 2021 to 2027.

2. More adoption of RPA across industries:

RPA is a technology that enables software bots to replicate human actions and perform a task more effectively. This technology is leveraged by almost every industry, such as insurance, banking, finance, healthcare, and telecommunications. RPA has been significantly helping businesses in achieving operational efficiency, reducing time-to-market, and ensuring high security. Thus, the usage of RPA, which is one of the essential components of Intelligent automation, is expected to rise more in the coming years.

According to Grand View Research, the global RPA market size was valued at USD 1.89 billion in 2021 and is expected to reach USD 13.74 billion in 2028 growing at a CAGR of 32.8% from 2021 to 2028.

3. Low code/no-code automation to gain traction:

The low code/ no-code automation trend is rapidly gaining traction and is expected to rise more in the coming years. The low-code/no-code automation platforms are software programs that require little to no coding knowledge. It offers predesigned workflow templates and a user-friendly drag-and-drop interface for customizing workflows that people can use without back-end computer programming knowledge. These platforms are gaining much attention due to various benefits to businesses, such as faster time to market, scalability, self-service capability, etc.

According to GlobeNewswire, the global low-code development platform market is predicted to generate a revenue of $187.0 billion by 2030, rising from $10.3 billion in 2019, and is expected to grow at a CAGR of 31.1% during the forecast period 2020-2030.

4. Generative AI to come into more force:

Another cognitive automation trend that is coming to market is generative AI. Generative AI is based on AI algorithms and machine learning methods that learn from the existing data such as text, audio files, images and create completely new and original content. Generative AI can be used for a variety of activities such as making software codes, processing images, facilitating drug development, providing better customer service, speeding up check-ins, targeted marketing, etc. It is expected that there will be more usage of generative AI in the future.

According to a leading research analyst, it is expected that by 2025 generative AI will account for 10% of all data produced, up from less than 1% today.

5. Hyperautomation to dominate and make an impact:

Hyperautomation is the use of advanced technologies like AI, ML, and RPA to automate as many tasks and IT processes as possible. Hyperautomation is the future of intelligent automation as it brings all advanced technologies under one roof and helps businesses reap the real-time benefits of all technologies together. Hyperautomation not only automates tasks but also automates the processing of any form of structured or unstructured content that helps businesses in a large way. In the coming years, it is expected that this trend will continue to positively impact businesses.

According to Verified Market Research, the Hyperautomation market size was valued at USD 581 Million in 2020 and is projected to reach USD 2216 Million by 2028, growing at a CAGR of 18.25% from 2021 to 2028.

6. Autonomic systems to be leveraged more:

Autonomic systems are self-managed software/platforms that learn from the environment, make decisions independently without any external intervention, and automatically adapt themselves to the changes in the environment. The four basic principles of an autonomic platform are self-configuration, self-healed, self-optimization, and self-protection. These self-managed systems are expected to be useful in large data sets and complex analytical solutions. In the forthcoming years, the autonomic platform market is expected to grow as it can address challenges enterprises face in managing data, making appropriate decisions, and handling unexpected complexity in a dynamic environment.

According to Verified Market Research, the autonomous data platform market size was valued at USD 989 Million in 2020 and is projected to reach USD 4885 Million by 2028, growing at a CAGR of 22.1 % from 2021 to 2028.

7. Continuous testing to become an integral part of DevOps CI/CD automation:

Today, almost every business needs to adopt DevOps as it enables continuous integration and delivery (CI/CD) of high-quality software to customers. In DevOps CI/CD, the continuous automated testing of the software at each stage of the software development is done with automated tools. In this way, bugs are found and fixed well before the release. As a result, the test cycles become faster, and software is continuously tested and released. This continuous automated testing of the software is a kind of intelligent automation and is expected to become a trend in coming years as more businesses will continue to adopt DevOps.

According to ordor Intelligence, the continuous testing market was valued at USD 1.48 billion in 2020 and is expected to reach USD 3.45 billion by 2026, at a CAGR of 15.24% over the forecast period 2021 – 2026

8. Augmented intelligence adoption to increase:

Another trend that is expected to rise in the coming years is the increasing usage of augmented intelligence. Augmented intelligence is nothing but AI with a twist. It involves robots and humans working together to improve cognitive performance. Platforms that utilize augmented intelligence can collect all sorts of data, both structured and unstructured, from multiple sources and can show that data to human workers in a way that gives a 360-degree view of each customer. This intelligence allows businesses to deliver better services and make informed decisions. Financial services, healthcare, retail, travel, manufacturing are one of the major industries where augmented intelligence is becoming more prevalent.

According to Allied Market Research, the global augmented intelligence market size was valued at $11.73 billion in 2020 and is expected to reach $121.5 billion by 2030, growing at a CAGR of 26.4% from 2021 to 2030.

Intelligent Automation Predictions for 2022

• According to Statista, In 2022, it is projected that the most common application for new shipments of collaborative robots (cobots) will be material handling. Some 7,000 cobot units shipped in 2022 are expected to be used for assembly and around 4,000 units are forecast to be used for pick and place.

• According to Forrester, Intelligent Automation (RPA plus AI) will release $134 billion in labor value in 2022.

• According to IDC’s research, 40% of the G2000 will double the use of intelligent automation in knowledge retention, dissemination, and information synthesis by 2026, filling the skills vacuum in the data to insights life cycle.

• IDC According to a recent IBM report titled “Automation and the future of work,” 79% of executives whose organizations are scaling intelligent automation expect their organization to outperform the competition in revenue growth within the next three years.

• According to Verified Market Research, the Intelligent Process Automation Market size was valued at USD 8.52 Billion in 2020 and is projected to reach USD 21.63 Billion by 2028, growing at a CAGR of 12.37% from 2021 to 2028.

• According to an article published by InformationWeek titled ‘AI, Automation Predictions for 2022: More Big Changes Ahead,’ some of the predictions include, one in five organizations will double-down on “AI inside” to boost real-time readiness, advancing automation will push 15% of enterprises to monitor employee psychology, and creative AI systems will win dozens of patents.

Conclusion:

In the upcoming years, many analysts predict the breakout for intelligent automation across leading industries. It is expected that the adoption rate for intelligent automation will rise more as it is a way forward for businesses to accelerate their digital transformation and automation journey to become autonomous enterprises. By leveraging the combination of advanced technologies (AI, ML, RPA, BPM, etc.) in cognitive automation, businesses can ensure process efficiency, operational efficiency, save considerable time and cost, and deliver a great experience to customers and employees. Leverage next-gen testing services from an independent QA and software testing services provider for next-gen testing services to get high-quality products that are bound to deliver a more excellent experience to your customers.

The post Top Intelligent Automation Trends and Predictions for 2022 first appeared on TestingXperts.

What is Robot-led Test Automation?

Robot-let test automation is a software testing process in which the software is tested with the help of robots or machines. These machines are programmed to perform test cases without manual intervention. Robot-led test automation has various benefits such as faster test execution, higher testing accuracy, accurate reporting, lesser maintenance, etc. By leveraging bot-led test automation businesses can ensure faster time-to-market, higher operational efficiency and a significant reduction in costs.

Today most enterprises are moving towards digital transformation to beat the competition. Businesses should leverage the latest technologies to make their enterprise digitally transformed. This digital transformation revolves around their technology & IT landscape, new process adoptions, and also needs application modernization. Enterprises to achieve effective digital transformation should inevitably leverage the latest RPA technology-based bot-led testing to validate fully functional software bots. These bots ensure enterprise-wide digitalization at a faster and quicker pace when compared to other methods.

Keeping these above facts in mind, let us have a sneak peek into this recently concluded webinar

It has been an exciting and captivating webinar on Bot-led testing jointly hosted by TestingXperts and UiPath Test Suite. The session started off with Niranjan Kumar (Regional Head APMEA at TestingXperts), hosting the webinar. He introduced the panellists, Amar Jamdhiar (AVP Delivery & innovation, TestingXperts), Thomasz Garczynski (Presales Manager, UiPath) and Ajay Bezawada, Test Architect, TestingXperts, to the webinar participants.

Finally, a demo on Bot-led testing was given by TestingXperts’ Test Architect Ajay Bezawada, which showcased the Bot-led Testing framework developed by TestingXperts by leveraging UiPath Test Suite.

Towards the end of the webinar, a Q&A session was conducted, and the panellists answered questions raised by the participants.

The post How to Leverage Bot-Led Testing to Accelerate Digital Transformation? first appeared on TestingXperts.

Content 1. An Introduction to RPA 2. Core Advantages of RPA technology 3. Benefits for businesses leveraging RPA 4. Some important RPA use cases across major industries 5. Why is RPA testing essential for businesses today?   5.1 Some of the main reasons for businesses to take up RPA testing include   5.2 Some of the Best Practices to Follow for Effective RPA Testing   5.3 Some of the leading RPA automation tools to look in 2021 6. Key advantages with UiPath Test Suite 7. The superiority of UiPath Test Suite – Features and Differentiators 8. TestingXperts developed a Robot-led Test Automation Framework powered by UiPath Test Suite 9. Conclusion

An Introduction to RPA

Robotic Process Automation (RPA) is the latest technology adopted by businesses wherein software robots perform various repetitive business tasks. Typically, these bots interact with multiple modes of SaaS applications and IT systems and automate the rule-based manual tasks that are repetitive and transactional. RPA technology helps organizations and businesses to ease manual tasks and improves the business’s operational efficiency. This technology is undoubtedly the future go-to technology for digital companies, which require seamless operations in one go.

In recent years, automation has changed many aspects of businesses, and RPA technology has gained more traction. This technology plays a significant role in transforming tedious human tasks into robotically automated tasks with software bots while freeing human resources to perform other high-end tasks. These bots streamline many business processes and do not need any coding experience to operate them as they mimic human behaviour. Software bots can easily be integrated into the existing business processes. These bots can navigate enterprise software such as ERP systems, service management tools, other software solutions, etc.

RPA is emerging as a disruptive technology across industries and is helping to speed up an organization’s digital moves in a great way. RPA technology eases digital transformation significantly and brings quicker ROI with improved operational efficiency.

Core Advantages of RPA technology

•  Technology supports all repetitive business processes to streamline them using software bots

•  RPA can be applied for both products and business processes

•  This technology can be used in a variety of software environments, and the bots help in freeing up human resources

•  100% reliable solution as bots can operate anytime, anywhere and work with the highest precision

•  The software bots can be considered as a digital workforce that can interact with any system or application

•  These bots are easy to set up and don’t need any special coding skills

Recent stats on RPA market trends by leading analysts

✓ According to Grandviewresearch, “The global robotic process automation market size was valued at USD 1.57 billion in 2020 and is expected to grow at a compound annual growth rate (CAGR) of 32.8% from 2021 to 2028.”

✓ According to Statista, “Robotic process automation market revenues are expected to eclipse 2.9 billion U.S. dollars worldwide in 2020. Forecasts predict continued growth in the coming years with a market value set to reach more than then billion by 2023.”

✓ According to MarketsandMarkets, the “Robotic Process Automation (RPA) Marketis estimated to reach USD 2,467.0 million by 2022, at a CAGR of 30.14% between 2017 and 2022.”

✓ According to FortuneBusinessInsights, “The RPA market is projected to grow from USD 1.61B in 2021 to USD 7.64 B in 2028 at a CAGR of 25.0% in the forecast period of 2021-2028. The rise in CAGR is attributed to this market’s demand and growth.

Benefits for businesses leveraging RPA

Business-wise Benefits

•  Improves businesses operational efficiency

•  Helps in driving business agility

•  Adds cognitive intelligence to the enterprise

•  Improves customer experience significantly

•  Reduces compliance risks and simplifies audit trials with digital log files

•  Bots are more reliable and accurate while performing tasks

•  Frees up manual resources as processes are automated with software bots

•  Enhances internal resource utilization

•  Bots are easy to configure with no code or low code usage

•  Ensures better control over repetitive business processes

•  Accelerates business processes endlessly

Cost-wise benefits

•  Improves business scalability

•  Enhances customer experience with better and seamless services

•  Lowers operational risks as bots perform tasks flawlessly

•  Increases business productivity and efficiency greatly

•  Delivers better business insights and analytics

•  Delivers quicker and better ROI as manual processes are automated

•  Provides significant cost savings as a minimal workforce is required

Some important RPA use cases across major industries

Telecom:

• Automating back-office operations
• Call resolutions
• Quicker resolution of customer tickets
• Classifying disputes
• Porting customer numbers
• SIM swapping

Banking

• Credit card bill settlements
• Loan processing
• Data entry at primary level
• Mortgage remediation
•   KYC processing
• Processing customer queries
• Fraud detection

Insurance

• Processing customer queries
•  Invoice processing
• Claim processing
• Underwriting
• Form registrations
• Premium renewals

Retail

• Customer support management
• Returns processing
• Accounting and finance
• Payroll management
• Call centre outsourcing
• Employee onboarding
• Work order management

Inventory management

• Stock keeping
• Low stock levels

Manufacturing

• Inventory management
• Stock level displays

Healthcare

• Patient appointment scheduling
• Doctor availability
• Doctor appointment
• Drug discovery
• Early disease diagnosis

Finance & accounting

• Invoice processing
• Vendor
• Customer invoicing
• Account management
• Payroll accounting

Human Resource (HR)

• Payroll automation
• Recruitment administration
• Employee onboarding
• Prospect outsourcing

Why is RPA testing essential for businesses today?

From the above RPA use cases, the importance of RPA across various industries is evident. Today, businesses across different industry sectors adopt and use RPA in their business processes. These software bots should perform seamlessly for enterprises to achieve operational efficiency and quicker ROI. Eventually, an effective RPA testing process is necessary to ensure seamless RPA implementations.

Some of the main reasons for businesses to take up RPA testing include:

• Bots have to be tested thoroughly to ensure they handle repetitive and rule-based digital tasks seamlessly

• These automation bots, until tested, will not be able to replace tedious clerical works to deliver an enhanced customer experience with 24×7 services

• Until these robots are validated for business processes, they cannot deliver the expected ROI

• Bots should execute on par the processes humans perform, and any change in the mimicking behaviour will make them ineffective

• Bots sometimes should handle high volumes of data and need to be tested using the latest automation tools to enable a great customer experience

• Until the bots are tested, they cannot interact with the business systems as humans do

• Bots need proper evaluation before they are used to perform back-office operations

Some of the Best Practices to Follow for Effective RPA Testing:

•  Evaluate in-depth and understand the business processes

•  Develop the test scenarios with compelling use cases

•  Develop the test scripts

•  Test with adequate and real-time test data

•  Report the defects and ensure defect fixation

•  Deliver seamlessly and fully functioning bots

Some of the leading RPA automation tools to look in 2021

•  UiPath

•  Blue Prism

•  Automation Anywhere

Why should businesses leverage UiPath Test Suite for RPA testing?

There are many RPA automation tools in the market, but UiPath Test Suite has many features and advantages over other automation tools. UiPath Test Suite utilizes an agile approach to deliver resilient automation faster and makes your apps and robots stronger. UiPath Test Suite is easier to learn and enables to automate tests 70% faster when compared to other RPA automation tools. The UiPath Test Suite consists of UiPath Studio Pro, UiPath Test Manager, and UiPath Orchestrator.

UiPath Studio Pro is used to create automated tests and supports the creation of specialized test cases for conducting automated application and bots testing. Another important feature of Studio Pro is that RPA workflows can be converted into test cases or imported as test cases from other projects.

UiPath Test Manager is used to plan and monitor testing for various automation and helps to triage defects with requirements traceability and visual logging

UiPath Orchestrator is used to organizing, schedule and analyzes test execution through the orchestrator

Key advantages with UiPath Test Suite

•  It gives a robust testing framework and supports web-based architecture

•  Platform-independent and supports industries of all sizes

•  Supports Web-based, Windows, and Mac operating systems

•  Highly user friendly and scalable across environments (can handle any process, in any number irrespective of its complexity)

•  Eases automation testing and can be used to automate virtually any software application and business process

•  Eases testing of even legacy or virtualized apps

•  It helps to save a lot of time for testers with this its superior features when compared to other automated tools

•  Tool eases tests even with the environmental changes

•  Easily links test suites in Jenkins or other CI tools, and it becomes easy for committing the code

The superiority of UiPath Test Suite – Features and Differentiators

•  Best tool to build resilient automation faster with UiPath Studio Pro

•  Best suited to boost release velocity by integrating directly into the DevOps pipeline

•  Helps to create tests faster by using RPA developers code to get started quickly

•  The tools drag and drop feature eases its usage

•  It can be used to automate the work of three testers with one UiPath test robot

•  Ensures tests are versioned and in sync with application source code

•  No coding skills are needed to work with this tool

TestingXperts developed a Robot-led Test Automation Framework powered by UiPath Test Suite

As a trusted UiPath partner with deep expertise in Quality Engineering and Test Automation, we at TestingXperts have been part of the evolution journey of RPA powered UiPath Test Suite.

TestingXperts Test Automation Framework powered by UiPath uses the hybrid model design principle & contains the below components/integrations:

•  GitHub [code repository]

•  Continuous Integration (CI) [Jenkins & Azure Devops]

•  Orchestrator [Manage robots]

•  BrowserStack Integration [For iOS mobile Automation]

•  Data Layer [Excel, JSON]

•  Test Manager

•  UiPath Insights

•  Utilities [Wrapper XAML files to handle typical test automation issues]

•  Reporting in the following formats:

Below are the key metrics we found in terms of value and improvements in test automation, UiPath Test Suite brings:

For more information on this framework, read this blog: https://www.testingxperts.com/blog/Robot-led-Test-Automation

Conclusion

Robotic process automation is one of the latest technologies today by businesses to manage business operations using software bots. These bots manage customer-focused and repeatable back-end business processes. These software bots save the time of in-house resources and free up resources that can be used for more intensive and valuable works. There are many use cases of RPA, which reflects the versatility and the need for modern automation leveraging RPA technology across industries. Thus, by leveraging RPA technology, businesses get many benefits such as reduced costs, improved operational efficiency, and by and large, it has become a necessity to speed up a business’s digital transformation today. But, for these software bots to perform seamlessly, leverage the services of a next-gen RPA testing services provider to get fully functional and flawless RPA solutions.

The post RPA Testing Leveraging UiPath Test Suite first appeared on TestingXperts.

Content 1.  What is RPA? 2.  RPA market overview by leading research analysts 3.  7 Significant benefits for businesses leveraging RPA 4.  Some of the important RPA use cases in different Industries 5.  Conclusion 6.  TestingXperts Expertise with RPA Testing

What is RPA?

Robotic Process Automation (RPA) is the latest buzzword in the world of information technology and also for businesses today. RPA is software that automates basic tasks with bots. It is used to train software to perform routine tasks and is helping enterprises of all sizes by improving their business efficiency.

This robotic process automation technology consists of a process to leverage software bots to perform repetitive human mundane tasks and subsequently free-up human resources to take up other important customer-focused tasks. Typically, these bots help businesses to intelligently automate repetitive and time-consuming processes, accelerate time-to-value, reduce human error, increase throughput and greatly improve their business process efficiency.

RPA which has been aptly named as a form of business process automation helps save costs in a significant way for businesses. Typically, bots are being used for simplifying and automating repetitive tasks such as sorting emails, answering customer queries, document recognitions, handling repetitive data entry tasks, etc. Therefore, Robotic automation tools continue to play an important role in today’s businesses and various research analysts have predicted more boom for this technology in the coming years which has been embedded below.

RPA market overview by leading research analysts

According to Fortune Business Insights, the global robotic process automation market is estimated to reach USD 50.50 billion by 2030 and is expected to grow at 20.3%. The rising demand for automation of redundant tasks in the business process coupled with Artificial Intelligence (AI) and Machine Learning (ML) enhancements is expected to drive the market growth.” Most of the CXOs across the globe are adopting this technology for saving costs and for improving their business efficiency using these bots.

It is also said that the combination of AI, ML and cognitive technologies along with the RPA market is expected to shape the forthcoming business environment significantly. Moreover, organizations across the domains of healthcare, insurance, banking, etc. are reaping immense benefits from implementing RPA.

According to MarketsandMarkets, “Robotic Process Automation Market is estimated to reach USD 2,467.0M by 2022, at a CAGR of 30.14% between 2017 and 2022.” According to a CIO report, more CIOs are turning to robotic process automation to eliminate tedious tasks, free-up humans, automate most of their business processes and enabling personnel to serve customers taking up a more higher-value work than performing the earlier repetitive works.

According to Businesswire, “The global robotic process automation market size is expected to reach USD 25.66B by 2027, expanding at a CAGR of 40.6% over the forecast period (2020-2027).” According to Globenewswire, its research predicts that this market is expected to grow at 33% CAGR and likely to hit USD 6.22 B by 2025.

Interestingly, key takeaways from the above research analysts states that RPA market has been expanding in leaps and bounds in the last five years and will be expanding in the coming years. This technology helps businesses achieve and maintain a competitive advantage in their respective industry sector.

Analysts have also stated that organizations that implement robotic process automation will soon outplace those who still depend on human resources for performing all activities. Moreover, this effective robotic automation is also an important aspect of digital transformation which is changing the way businesses operate today. Hence, leveraging this automation software (bots) is bound to deliver numerous benefits to businesses of all sizes which has been detailed below.

7 Significant benefits for businesses leveraging RPA

Delivers improved customer experience:

By deploying robots in place for repetitive tasks especially for answering customer queries, spontaneously customers get quick responses to their queries, and this process improves greatly the customer experience(CX). These bots can be successfully leveraged in many other process areas to improve the CX. Moreover, as tasks are automated, human resources are freed up and will be able to handle other critical tasks.

Reduces human efforts largely:

Typically, deploying RPA frees up high-valued human resources and their physical efforts due to robots in place. Thus, human intervention is also largely reduced as automated bots take hold of performing repetitive and tedious tasks.

Ensures cost-effectiveness:

RPA is the most sought-after technology today, as it helps to reduce costs to the extent of even 30-35% as tasks are automated using bots. This helps to reduce the costs that were earlier spent on performing non-productive and repetitive tasks to a large extent.

Delivers undefeatable operations accuracy:

Human power has certain limitations and cannot always give quality results due to either loss of attention or mistakes during handling repetitive processes. But, on the other hand, robots once defined, developed, and deployed, can deliver limitless work without any distractions or tiredness and deliver the results the same way every time.

Reduces response time to security threats:

Businesses can use robotics to reduce response times significantly to security threats and automatically deploy security controls whenever vulnerabilities are detected. It is interesting to note that RPA implementation can limit access to app or system credentials and databases, and keeps track of tasks & workflows, and also has a marking of all activities accurate time stamp. Further, these robots help to stay secure while seamlessly executing business tasks.

Reduces overall cycle time:

To accomplish any task, humans would require some time involvement, while if the same task is handled by robots, they reduce the overall cycle time to perform the same task. If a human performs a task in some ‘x’ time, then using robots, the same task can be achieved in much lesser ‘<x’ time, thus reducing the overall cycle to perform that particular task.

Delivers effective insights and analytics:

By using bots in businesses, the software helps to gather, organize, analyze, and store valuable data and insights. Businesses can draw large patterns from this accumulated data and helps management to better draft policies, correct issues, and deliver best practices to their customers. These robotic process automated bots help to quicken ongoing decision-making and make it fast, accurate, and predictive with effective analytics embedded and delivered.

RPA has its dominance in today’s businesses and is leveraged across all industries to deliver seamless services to customers more effectively and seamlessly.

Some of the important RPA use cases in different Industries

1. RPA in Healthcare:

The healthcare industry has witnessed a huge load due to the pandemic, but leveraging these software bots helps healthcare businesses to extract and optimize patient data effortlessly. These bots also help in streamlining the claims by speeding up the data processing enabling effective results. Some of the other areas where these bots can be used in healthcare include managing inventory, scheduling patient and doctor appointments, digitizing patient health records, etc.

2. RPA in Banking & Finance:

Innovatively, RPA bots can also be used in the banking sector. These robots are leveraged to perform and handle processes such as customer queries answering, KYC processes handling, general ledger operations, fraud detection, compliance management, mortgage processing, etc.

3. RPA in Insurance:

RPA bots are specifically being used to merge front-end and back-end operations in insurance companies, thus reducing human intervention. These bots can also be used for insurance processing, claims processing, new insurance policy issuances, regulatory compliance handling, etc.

4. RPA in Business Process Outsourcing (BPO):

Bots usage in BPO helps businesses to lower their operating expenses and helps them make more effective utilization of resources. Specifically, robots can work 24x7x365 with no interruption and hence productivity improves significantly as repeatable BPO tasks are automated. Bots can be leveraged to perform back-office operations seamlessly as they are mostly rule-based and efficiently handled by bots. Further, some of the tasks for which RPA bots can be used in the BPO industry are data entry, data extraction, CRM updates, scorecard updates, report generation, data analysis, etc.

5. RPA in Customer Service:

Specifically, RPA is going to change the way businesses deal with their customers. A survey says that 90% of employees are overburdened with menial tasks which can be easily automated to save time, effort and money. For businesses dealing with customer complaints manually to date, can effectively install an RPA bot that is programmed to sort and process the information of the customer and subsequently solve their queries based on the pre-determined course of action. In this way, customers get their queries answered quickly by automated bots and this process improves CX.

6. RPA in Human Resources:

Interestingly, bots free up HR departments from repetitive works and help to automate processes. These robots help to automate many of the HR processes and some of them include simplifying payroll, augmenting the workforce, streamlining talent acquisition, employee onboarding, thus ensuring enhanced employee experience. These bots free-up the HR resources that can be used for other important tasks. These bots can also be used to reduce the amount of paperwork by allowing employees to onboard with digital documents and helps reduce HR efforts significantly.

7.  RPA in legal case management:

These bots are being leveraged by law firms to change the way they work. Critical mundane law clerk tasks are automated to help them focus on other works, and these bots are used as virtual legal assistants, contract management, E-filing, compliance and risk management, etc. Evidently, humans or legal clerks or assistants can attend to the actual need of customers to improve customer satisfaction.

8. RPA in Travel and Transportation:

RPA bots are leveraged in the travel industry for ticketing, cancellations, and exchanges, ticket refunds, invoicing, MIS and analytics, etc. Leveraging this technology and software helps with improving the travel industry’s overall operational efficiency. By using this robotic process automation, travel businesses are bound to deliver improved customer experience and moreover helps them to manage various operations seamlessly, quickly and effortlessly.

Conclusion

Robotic process automation is the technology wherein software bots are used to perform time-consuming and repetitive tasks that consume a lot of human effort and time. By automating repetitive tasks using robots, it frees up human resources and helps businesses to improve their overall business processes. As human resources are freed-up, can be used to perform any other customer-related or any other creative tasks based on the need. Moreover, by leveraging RPA bots, businesses across industries get many benefits. But, for the seamless functioning of your RPA bot to deliver unparalleled results, RPA testing should be adopted by businesses leveraging next-gen testing service providers to get fully-functional RPA bots based on your business.

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The post Role of RPA and Major Industry-wise Use Cases for Businesses in 2023 first appeared on TestingXperts.