Robotics Process Automation 6 big updates

Using internal application programming interfaces (APIs) or specialized scripting language, a software developer creates a list of steps to automate a process and interface to the back-end system in workflow automation tools. In contrast, Robotic process automation (RPA) systems employ the program’s graphical user interface (GUI) to track the completion of tasks by the user, providing the action list. They execute the automation by mimicking what the user does within the GUI. Products that might not typically offer APIs for this purpose may find it easier to use automation as a result.

Software solutions that automate repetitive, manual, rule-based tasks for humans can be referred to as robotic process automation (RPA) tools.

The use of robotic process automation (RPA), which streamlines operations, lowers errors, and boosts productivity, has become essential to the modern business environment. With the speed at which technology is developing, keeping up with the most recent RPA advancements is essential to preserving a competitive edge.

Robotic Process Automation

The top 5 advantages of using RPA software

1) Lower costs: Task automation can result in cost reductions of around 30-50%. Additionally, software robots are less expensive than full-time staff.

2) Improved customer experience: By putting your high-value resources back on the front lines to ensure your customers’ success, RPA deployment frees them up.

3) Lower operational risk: RPA lowers the rate of errors by doing away with human errors like fatigue or ignorance, which lowers operational risk.

4) Better internal processes: Organizations must establish explicit governance protocols in order to take use of AI and RPA. Faster internal reporting, onboarding, and other internal operations are therefore made possible.

5) Does not replace current IT systems: One of the main benefits of utilizing an RPA bot or virtual workforce is that you can keep your current IT systems in place. Rather, just like a human employee, RPA may make use of your current systems.

Latest updates in Robotic Process Automation (RPA)

1) Cognitive RPA 

One of the most fascinating developments in RPA is the application of artificial intelligence (AI). Traditional RPA uses rule-based automation, which is limited to repetitive activities. Conversely, RPA powered by AI has the ability to make choices, learn from data, and adjust to new circumstances. This transformative shift, known as Cognitive RPA, opens up a wide range of possibilities. By merging AI with RPA, businesses can handle unstructured data, automate challenging processes, and even utilize chatbots to interact with customers.

2) Cloud RPA

Software and data storage are not the only things moving to the cloud. More businesses are embracing cloud-based RPA solutions as RPA follows suit. Scalability, agility, and flexibility are offered by these cloud-based solutions. Businesses can more easily scale up or down in accordance with business needs thanks to their ability to remotely deploy and control bots. Furthermore, real-time access to automated processes and cooperation are made possible by cloud-based RPA, regardless of geographical location.

3) Hyperautomation 

The term “hyperautomation” describes a state of affairs in which RPA is seamlessly combined with other technologies, such as natural language processing, machine learning, and process mining. With this strategy, companies may automate all processes—from data extraction and interpretation to decision-making—from start to finish. The end product is an extremely effective, networked ecosystem that is always improving and can adjust to new situations.

4) RPA as a Service

A new trend that makes RPA more widely available is RPA as a service. This strategy is especially advantageous for small and medium-sized businesses. Organizations may now pay-as-you-go for RPA services, eschewing the need to invest in pricey software and infrastructure. This lowers the entrance barrier and enables companies to test RPA without having to commit large sums of money up front.

5) Procedures for Mining and Discovery

Technologies for process mining and discovery have grown in importance in the RPA market. With the use of these technologies, companies may examine their operations and spot areas for automation as well as inefficiencies. Organizations can decide where to implement RPA to have the biggest impact by having a deeper understanding of their current processes.

6) Compliance and Security in RPA

Security and compliance have become increasingly important as RPA gets more embedded in company processes. The security aspects of their automation solutions are currently the main focus of RPA developers. Furthermore, in order to ensure that automation doesn’t jeopardize data security or legal requirements, compliance frameworks are being modified to support RPA.

The key players in the RPA industry

Several key players dominate the RPA market, offering a wide range of automation solutions and services.

1) UiPath (Top rated)

UiPath is one of the leading RPA companies globally. They offer a comprehensive RPA platform that includes software robots, automation development tools, and a robust ecosystem of partners and developers. UiPath has a strong presence in various industries, including finance, healthcare, and manufacturing.

In addition to its Orchestrator tool, UiPath provides an embedded analytics component, an Azure Cloud SaaS solution, and a mobile app. It is noteworthy because it provides an AI integration fabric that enables the robust enablement of AI capabilities. An integrated library of pre-built automation components is included in the software to enhance bespoke automation and speed up deployment. UiPath was able to integrate more process mining into its RPA capabilities in 2019 after acquiring ProcessGold and StepShot.

A number of RPA functionalities are available in the free Community Edition of UiPath. It’s a terrific option for learning and experimenting, albeit it could have certain limits compared to the commercial version.

2) Blue Prism (The most established RPA vendor)

Blue Prism is recognized for its RPA software platform that focuses on automating business processes. They have a large customer base, especially in the financial and healthcare sectors. Blue Prism offers an enterprise-grade solution for organizations seeking to streamline their operations.

It interacts with Google’s machine learning workflow, and offers deployment options for on-premises or SaaS clouds. Non-repudiation elements are part of top-notch security and audit trails. The accompanying documentation provided by Blue Prism is well regarded in the intricate RPA sector.

3) Automation Anywhere (Best for Cloud RPA)

Another significant RPA player that is well-known for its intelligent automation solutions is Automation Anywhere. With the help of their platform, companies can combine RPA with AI and machine learning to automate difficult operations. They provide services to clients in a number of industries, including retail, banking, and healthcare.

With its comprehensive cloud and SaaS capabilities, Automation Anywhere offers small and medium businesses (SMBs) an affordable cost of ownership. Its well-developed roadmap and breadth of product offering also make it a viable option for large enterprise clients.

Implementing Automation Anywhere is known to happen quickly. For developers, it offers pluggable application programming interface (API) integration. Customers may watch and control bots while they’re on the go with the company’s smartphone app. Its IQBot takes a step farther by supporting handwriting.

The Community Edition of Automation Anywhere’s RPA platform is available for free. For simple automation tasks and process discovery, users can build and execute bots with it.


IBM offers a full range of automation technologies, among them RPA. Their RPA solutions are a component of the IBM Automation platform, which combines analytics and AI with RPA to provide a solution that is appropriate for big businesses and sectors with intricate automation requirements.

5) Pegasystems

With Pega Robotic Automation, Pegasystems, often known as Pega, provides an all-encompassing automation solution. Pega’s strength is in how well it integrates artificial intelligence, case management, and decision management with RPA.

6) Microsoft Power Automate

When implementing RPA, Microsoft’s Power Automate—previously known as Microsoft Flow—is a popular option for enterprises. It is frequently used to automate processes within the Microsoft ecosystem and is integrated with Microsoft’s cloud services.

7) SAP’s Intelligent Robotic Process Automation (IRPA)

It is made to integrate easily with SAP’s business software products. This makes it a better option for businesses who have a significant SAP product investment.

8) AntWorks

AntWorks is renowned for its distinct approach to robotic process automation (RPA), which blends AI with robotic process automation. They provide integrated analytics, process automation, and data extraction solutions.

9) Open-Source RPA platform By WTP


A variety of automation functionalities are offered by the open-source RPA platform OpenRPA. Users with different levels of technical expertise can use it.

Kantu (formerly known as Kantu for Chrome)

A web-based RPA tool, Kantu functions as a Firefox and Chrome browser extension. It can automate processes based on the web and is open source.


Automating repetitive and rule-based tasks is the main focus of Taskt, an open-source RPA platform. For writing automation scripts, it provides an easy-to-use visual interface.


Using picture recognition technology, SikuliX is a unique open-source tool that automates whatever you see on your computer. For automating graphical user interfaces (GUIs), it is especially helpful.


TagUI is an easy-to-use, script-driven RPA tool available as open source. It works especially well for jobs that are web-based. It is free to use and open source.

Things to Consider When Choosing the Best Automation Tool for Robotic Process Automation (RPA)

Choosing the appropriate Robotic Process Automation (RPA) automation tool is a crucial choice for your organization’s automation process. A thorough analysis of your unique requirements and the capabilities of the RPA technologies on the market is necessary. This is a step-by-step guide to assist you in choosing an appropriate RPA automation tool:

Recognize the Goals and Needs of Your Business:

Clearly state the aims and goals you hope to accomplish with RPA. Determine the procedures you wish to automate and the anticipated savings, efficiency gains, or decreased errors.

Evaluate the current IT Infrastructure:

Examine the systems, software, and technological stack you currently have. Make sure the RPA tool you select is appropriate for your existing IT setup.

Set Financial and Resource Limits:

When creating a budget for your RPA project, take ongoing maintenance costs, licensing fees, and implementation costs into account. Ascertain how much time and staff you can devote to the project.

Look into Available RPA Tools:

Look at the various RPA tools that are on the market. Among the well-known RPA suppliers are Blue Prism, Automation Anywhere, UiPath, and others. Each has special qualities and advantages of its own.

Think About Usability:

Analyze how user-friendly the RPA tool’s UI is. For your staff, a user-friendly tool can shorten the learning curve.

Flexibility and Scalability:

Examine the tool’s scalability to meet your needs for automation in the future. It must to be adaptable and ready to manage different automation circumstances.

Integrity-related Skills:

Make sure your current systems and apps can be easily integrated with the RPA tool. This is essential for the efficient deployment of automation.

AI and Cognitive Capabilities:

Examine the tool’s inherent machine learning and artificial intelligence (AI) features. These functions can aid in the automation of increasingly difficult jobs and decision-making procedures.

Features for Compliance and Security:

Check that the RPA technology satisfies compliance criteria and has enough security features. Particularly when managing sensitive data, data security is crucial.

Community and Assistance:

Evaluate how much assistance the RPA vendor is offering. When problems emerge, having a solid support network might be essential. Furthermore, a vibrant user community can be an important source of information exchange.

Proof of Concept (PoC):

To evaluate the tool’s functionality on a limited scale, think about conducting a Proof of Concept (PoC). This can assist you in determining if the tool is appropriate for the use case you have in mind.

Total Cost Ownership (TCO):

Compute the total cost of ownership, taking into account all hidden expenditures as well as initial setup, maintenance, and license payments.

Evaluations and Citations:

Examine evaluations and look for recommendations from other businesses that have used the RPA solution. Their life experiences can offer insightful information.

Vendor Credibility and Performance History:

Examine the track record and reputation of the vendor. More steady and dependable solutions are frequently offered by well-known and respected RPA suppliers.

Documentation and User Training:

To make sure your staff can use the product properly, consider whether the provider offers training materials and documentation.

Timetable & Upcoming Updates:

Find out what the vendor has planned for next updates and their product roadmap. You want a tool that adapts to the changing needs of your company.

Analyze Several Choices:

Give the choice some thought. Compare several RPA tools using the previously listed criteria. You can make an informed decision with the aid of this.

Hold Vendor Discussions:

Have a conversation with the vendor to address any questions you may have, look over the licensing details, and work out terms that work for your company.

Chooser and Pilot Project:

Before implementing the technology widely, make a final decision and begin with a pilot project to confirm its applicability and performance.

Recall that choosing the best RPA tool is a strategic choice that should be in line with the objectives and needs of your business. Examine your selections carefully and select the one that best suits your needs and price range.

Things to Consider When selecting Robotic Process Automation (RPA) implementation partner

The success of your automation projects depends on your choice of Robotic Process Automation (RPA) implementation partner. Your company may be significantly impacted by RPA projects, so it’s critical to thoroughly assess possible service providers. This is a comprehensive guide to assist you in selecting the ideal RPA implementation partner:

Clearly state your requirements and goals:

Give a clear explanation of your automation aims and objectives.
Determine the particular tasks or procedures you wish to automate.
Establish your project’s timetable and budget.
Think about the flexibility and scalability the RPA system will require.

Research Potential Providers:

Make a list of all the RPA service providers that you find through your investigation. This can be accomplished by using industry studies, internet searches, and recommendations from coworkers.

Take into account elements including the provider’s track record, expertise, and industry emphasis.

Evaluate the provider’s expertise:

Evaluate their expertise in RPA.

Check if they have expertise putting your needs into practice for automation initiatives.

Verify whether they employ certified RPA specialists who are up to date on the newest RPA technologies.

Evaluate Their Technology Stack:

Analyze the platforms and RPA technologies that the business use. Make sure they meet the needs and technical infrastructure of your organization.

Find out if they have any experience with well-known RPA tools like Automation Anywhere, Blue Prism, or UiPath.

Review Case Studies and Client References:

To learn more about the company’s previous work, ask for case studies or references. Speak with past customers of the company to find out about their encounters, difficulties, and results.

Assess Industry-Specific Experience:

If your organization operates in a specific industry, consider selecting an RPA provider with experience in that industry. Industry-specific knowledge can be a significant advantage.

Evaluate Support and Maintenance:

Inquire about the provider’s support and maintenance services. Ensure they offer ongoing support to address issues and make necessary updates to your automation solutions.

Understand Training and Documentation:

Determine if the provider offers training and documentation to help your team manage and maintain the RPA solutions after implementation.
Scalability and Integration:

Assess the provider’s ability to scale RPA solutions to accommodate your future needs.
Verify their capabilities in integrating RPA with your existing systems and software.

Data Security and Compliance:

Discuss data security practices and compliance measures with the provider to ensure that your sensitive information is protected.

Cost and ROI Analysis:

Request a detailed breakdown of costs, including licensing fees, implementation costs, and ongoing maintenance expenses.
Calculate the expected return on investment (ROI) to ensure the project is financially viable.

Demonstrations and PoC:

Ask the RPA provider to demonstrate their capabilities or conduct a Proof of Concept (PoC) to gauge their approach and the suitability of their solution for your specific needs.

Service Level Agreements (SLAs):

To establish accountability, clearly define SLAs with the provider about project dates, deliverables, and performance measures.

Cultural Fit:

Think about how well your company and the RPA provider mesh culturally. Collaboration and open communication are necessary for a partnership to succeed.

Contracting and Selection:

Choose the RPA supplier that best fits your needs after a careful evaluation.

Make sure you have a contract in place that is legally binding and clearly defines the expectations, price, and scope of the project.

Keep in mind that choosing an RPA service is a customized procedure. It necessitates a thorough evaluation of the particular requirements of your company and compatibility with a provider’s capabilities. You may raise the possibility of an RPA installation that works well and benefits your company by paying attention to these details and carrying out your due diligence.