UiPath Platform Reviews

For two years, I have focused on automating workflows related to processing documents in formats like PDF, Excel, and CSV. Using the document understanding feature, we have handled forecast orders and purchase order invoices. 

If you use input files like Excel, PDF, and CSV, we can automate file validation, such as checking data accuracy, format compliance, or missing information. It's integrated with Boomi, so after the files are validated, they're sent to Boomi for further processing. 

Boomi provides us with the RTF file, and we use UiPath to validate its contents and correctness. It automates the process of converting the RTF file into an Excel file. Another process is remittance, where we can get files from clients, validate them, and submit them to the credit managers for correction.

UiPath reduces human error by eliminating manual work and intervention. Some human intervention is still necessary, but it has been reduced. Realizing UiPath's benefits takes some time because you may have some issues after the initial deployment. The UiPath Academy was helpful. I took some courses and achieved developer certificates. I'm still learning. 

It hasn't saved time in my work because I'm still spending a lot of time learning the software. It was new, so learning and implementing those things in my work takes time.

My favorite feature is Document Understanding. I haven't used most of the new features, such as AI-enhanced document processing and process mining. The document understanding feature is especially valuable because I can use it to extract and process invoice data efficiently. It enables the quick and accurate handling of structured and unstructured data. 

The flexibility to work with templates and machine learning models for document extraction has been helpful when dealing with various invoice formats and forecast orders. Data extraction from PDF has been smooth, especially with UiPath's capability to handle scanned documents using OCR and AI-based models. 

The taxonomy manager lets you define the structure and categorize data from multiple document types. AI center integration allows continuous improvement in document extraction accuracy by training models based on historical data. I have utilized AI and machine learning models in UiPath specifically for processing complex PDF and Excel documents. 

UiPath's AI capabilities, such as pre-trained invoices and receipts models, have effectively extracted structured and unstructured documents. For example, when processing purchase orders, the AI model identified key fields, such as invoice numbers, dates, line items, and currency details, with high accuracy. I have found the machine learning models to be especially useful when working with documents that have different formats. In some cases, additional training or validation was required to fine-tune the models for complex or irregular documents. Overall, AI models and document understanding are my favorite features.

UiPath is highly user-friendly because it has drag-and-drop functionality to design and develop complex workflows without much coding knowledge. This has been particularly beneficial when working with different document formats. UiPath's built-in tools and integration capabilities simplify the automation process, leading to greater efficiency.

We have end-to-end automation and integration with other applications. For example, we have portal automation that's end-to-end. We use it to log in to the website and sign in to different accounts. It enters the CAPTCHA, downloads the files, and logs out. It can complete the automation without human intervention. 

UiPath has many resources online. We use its academy and online documentation. If we face any challenges, we can find an answer on the forum or one of these resources. I've never had a problem finding solutions to problems. They have the best resources.

I would love more integration with Third-Party applications. Expanding the library of pre-built, plug-and-play connectors to include more industry-specific applications.

I have worked with UiPath for two years. 

I've never experienced lagging or crashing with UiPath. The app has never given me trouble. 

Installing the community version of UiPath was easy and only took five to ten minutes. 

I am using the free community version. The enterprise version is obviously a little expensive. 

UiPath is a software tool used in Robotic Process Automation (RPA) that allows you to build automated workflows to handle repetitive manual tasks in your daily work. It can automate tasks across various environments including Windows, Citrix, and using image recognition. Additionally, UiPath is incorporating artificial intelligence and machine learning, with generative AI specifically enabling you to develop automation in a wider range of fields like healthcare, telecommunication, and manufacturing.

UiPath offers deployment flexibility: we can install it on our servers on-premises or choose their cloud service, UiPath Automation Cloud. While they provide their option, UiPath is also compatible with other cloud platforms for deployment.

Building automation is easier with UiPath than with Automation Anywhere or Blue Prism. UiPath's centralized platform offers a more intuitive user experience, and its extensive online community provides readily available answers to your questions.

It allows for the creation of end-to-end automation workflows, even for tasks with imperfect results. For instance, if an AI extracts data from a PDF with a low confidence level, UiPath can trigger the creation of a ticket in an action center. This ticket would then be assigned to a human for review, who can confirm the data's accuracy or return the document to the AI model for improvement.

Over the past nine years as a UiPath user, I've witnessed a wealth of new features emerge. The UiPath user community has been an invaluable resource throughout this journey, providing both learning opportunities and solutions to our automation challenges.

UiPath has been a game-changer for us, reducing costs, improving scalability, minimizing human error, and saving significant time. Their user-friendly platform allows us to automate processes in as little as 15 days, and with the free UiPath Academy courses and community edition, we have everything we need to learn and practice at no cost.

UiPath Academy offers beginner-friendly courses with step-by-step instructions and video tutorials, making it a great resource for those new to the world of UiPath and automation.

UiPath speeds up and reduces the cost of digital transformation andreduces human errors by automating repetitive tasks where errors can be caused due to fatigue or illness.

UiPath helps free up our staff time to work on other tasks. What would take a human, for example, ten minutes to complete, takes the robot seconds. Ithelps save our organization money.

It is easy to learn.

UiPath takes the complexity out of automation by using a low-code approach. Instead of writing intricate macro scripts, we simply drag and drop pre-built elements to create our automation, making it accessible even for those without extensive coding experience.

UiPath's extensive built-in features, like communication mining, can be overwhelming to learn due to the sheer volume. This learning curve applies across platforms; switching to another company would require mastering new skills like business analysis and product management. Additionally, the modern analysis process demands deep dives into code and solution levels, making it a complex task to achieve.

There's a need for greater emphasis on applying AI and machine learning to enhance technologies like Optical Character Recognition, fingerprint scanners, and facial recognition systems.

I have been using UiPath for almost nine years.

If one of our machines goes down, UiPath will resolve the issue within 24 hours.

The technical support is good.

Positive

While we've experimented with Automation Anywhere, Blue Prism, and Microsoft Power Automate, they lacked UiPath's ability to centralize all our automation initiatives. Choosing the right RPA tool requires careful consideration of cost, functionalities, and the specific features each platform offers.

The cloud deployment is straightforward. The logs are all maintained in the orchestrator. 

The return on investment from automation grows with the number of processes automated. This translates to greater cost and time savings, freeing up resources to tackle new projects that can generate additional revenue.

UiPath is expensive. The license types depend on the deployment method and the number of bots required.

I would rate UiPath eight out of ten. UiPath is user-friendly, easy to learn, and manage.

UiPath introduced communication mining in the last two years. We do use it but the use cases are primarily for the health sector and insurance sector but they have been steadily declining.

UiPath's cloud deployment offers a hassle-free experience – they manage the infrastructure and maintenance, so we don't need to worry about any hardware or upkeep on our side.

Six people in our organization use UiPath.

While running UiPath on-premises with a high volume of bots might involve some minor maintenance tasks for us, the cloud-based option takes care of everything – UiPath handles all the maintenance on their end.

UiPath offers a multifaceted platform, requiring users to learn distinct aspects based on their roles. Developers will delve into coding and automation creation, IT business analysts will focus on process design and optimization, product managers will manage the automation lifecycle, and salespeople will highlight the product's capabilities to potential clients.

UiPath is a business automation platform that allows us to design and implement rule-based automation across various applications. In essence, we define the rules and conditions e.g., for processing data in a CRM system, and UiPath automates the entire workflow. Beyond processing, UiPath can also automate tasks like document reading, data entry, and system updates e.g., price changes. In our specific role within the telecom domain, we might use UiPath for design integration, network optimization, and other tasks defined by our business rules. It's important to remember that successful automation requires well-defined rules, test data, and an evaluation of scalability and return on investment. UiPath's strength lies in its ability to integrate with various applications, including Office 365, CRM systems, and HR applications, as long as these applications have a user interface with identifiable elements or objects.

Building automation with UiPath is user-friendly, especially for beginners. Even without prior coding experience, newcomers can learn the ropes quickly. UiPath offers foundational code and training sessions that make creating robots achievable in just one or two sessions. The concepts align well with the product, making it easy to follow along during training. Additionally, UiPath Academy provides free online courses for further learning. This open approach contrasts with other tools like Blue Prism, which has a closed community, and Automation Anywhere, which requires more time investment to grasp due to limited resources. Unlike these other tools, UiPath offers extensive online resources and a supportive community, making it easier to find solutions. With this accessibility, even non-technical users can be trained within one or two weeks to build automation – the key is understanding the logic behind them.

UiPath facilitates end-to-end automation, eliminating manual intervention for repetitive tasks. This frees up employees for more strategic work. Data processing, server configuration updates, and many other processes can be fully automated using robots. Even tasks requiring some human oversight benefit from UiPath's Document Understanding tool, which accurately extracts data from documents. While automation won't eliminate all human jobs, it can significantly reduce repetitive tasks. Instead of cutting jobs, organizations can redeploy employees to higher-value activities. However, the decision to automate depends on the specific business needs and process criticality. Overall, end-to-end automation with UiPath saves time and resources for organizations.

The timeframe for seeing UiPath's benefits depends on the specific task being automated. For simpler tasks, like generating reports, we might see results within a month or two. For complex tasks involving large datasets, like updating hundreds of server parameters, it could take three to six months to calculate a clear return on investment. Before implementing automation, it's crucial to evaluate the potential benefits. This includes factors like cost savings, operational efficiency, and even intangible benefits like improved customer satisfaction leading to brand value. Organizations should analyze these factors alongside the volume of data involved to determine if automation is worthwhile. Ultimately, a successful automation project hinges on a thorough upfront evaluation tailored to the specific use case.

The UiPath user community is a valuable online resource accessible through their website. It offers a one-stop shop for troubleshooting, discussions, and product updates. The forum is active with core users, UiPath employees, and even developers providing solutions and feedback. This collaborative environment allows UiPath to test and refine features before public release, ensuring a more polished final product. Users can ask questions, participate in discussions, and stay informed on all things UiPath, not just through the forum but also through other online platforms.

UiPath Academy provides a comprehensive learning platform for anyone interested in Robotic Process Automation. With over 25 courses and multiple certifications ranging from 6 to 7, we can gain the skills we need to automate tasks. The Academy is easy to access - simply sign in with our Gmail account and start learning. Courses include video lectures, text documents, and even hands-on simulations using dedicated UiPath Academy websites. To get started with the Academy, we'll need a laptop with internet access. Overall, UiPath Academy offers a user-friendly platform with a clear learning path to kickstart our RPA journey.

UiPath helps reduce human error in automation, but thorough planning is crucial. First, clearly define all valid data formats and business rules for the robot to follow. This includes specifying what information can be processed, and what validations need to be performed before updates, approvals, or rejections. These rules should be established by the business and rigorously tested by both developers and users. Remember, the robot is a machine that executes what it's programmed to do. It won't take any actions beyond its defined instructions. While humans can make mistakes, the robot itself won't. However, the quality of its work depends on the quality of the data it receives. This is why a well-defined software development lifecycle is essential. Each stage should be carefully verified to ensure the robot follows the intended steps. Before starting automation, identify and address all potential issues. Unlike humans, robots can't adapt to unexpected situations. They rely on clear instructions and clean data. While humans might prepare the data like an Excel sheet. Any errors they introduce will be carried out by the robot. To minimize errors, establish clear conditions for updates, approvals, and rejections. These conditions will guide the robot's actions and reduce potential mistakes. Careful planning before robot creation is key. While robots themselves won't make errors, unforeseen circumstances can arise. For example, application upgrades might require the robot to be adjusted. The robot won't recognize these changes on its own and will continue following its original instructions. This is why humans play a crucial role in supervising robots. A 3-6 month training period allows human oversight to ensure the robot performs as expected and can handle different situations. Any errors can be identified and corrected during this period, allowing the robot to function effectively beyond the training phase. In conclusion, while UiPath offers significant benefits, human involvement remains essential for successful automation.

UiPath helps reduce costs, but there will always be some operational and marginal expenses. However, the real benefit comes from automating tasks currently done by employees. Let's say one person completes a specific transaction. A robot can complete many more transactions per hour, freeing up the employee for other tasks. This creates a dual benefit: cost savings from the employee's saved hours and increased productivity from the robot. We can calculate these benefits by tracking saved hours and their resulting cost savings, as well as the robot's impact on productivity. There are also intangible benefits like improved brand value, faster response times, and quicker error recovery. Overall, UiPath helps companies save money and improve efficiency in both tangible and intangible ways.

UiPath is user-friendly, meaning even without coding knowledge, we only need basic logic understanding. Knowing how conditions and loops work is sufficient. This allows anyone to develop automation quickly. That's the beauty of UiPath compared to tools like Blue Prism and Automation Anywhere. While Automation Anywhere offers single sign-on with object access, it requires memorizing methods and libraries. UiPath simplifies this with a search bar for activities, like building a sentence with relevant keywords. This feature is absent in other tools, making UiPath more developer-friendly. Additionally, UiPath offers products like Document Understanding and Action Center, along with various integrations, catering to different departments within an organization. It empowers citizen developers, or business users, to automate tasks through easy-to-use functionalities. With good exception handling, clear libraries, and a wide range of activities, UiPath makes automation development easy to learn and adapt to, as long as we understand the desired outcome.

UiPath has matured and offers a wide range of packages. However, some users feel these packages aren't easily adaptable or customizable. Ideally, UiPath could provide more open models for users to modify and tailor to specific needs. Additionally, users would appreciate more activities and features related to Microsoft Office applications, given their wide use. While UiPath acknowledges this need with some activities for OneDrive and SharePoint, there's a gap compared to other platforms.

UiPath's licensing costs are a major consideration. While the platform offers valuable features and user-friendly tools, its pricing can be a barrier for some customers seeking more affordable options. This high cost is a key reason users switch to Power Automate, which integrates well with Office applications but lacks UiPath's breadth of automation capabilities.

UiPath's extensive features come at a premium price, leading some customers to explore alternatives like Power Automate or open-source solutions. While these alternatives have limitations, UiPath's recent 30 percent license cost increase has prompted even established users to re-evaluate their options.

I have been using UiPath for seven years.

While Selenium offers web automation capabilities, open-source solutions may not always be ideal. As a result, clients are increasingly looking towards RPA tools like Power Automate, which is a more affordable option compared to UiPath, but with fewer features. Blue Prism, Automation Anywhere, and UiPath are all RPA tools with similar core functionalities. However, they differ in the number and variety of activities they offer. UiPath boasts the most features, while Automation Anywhere excels in document understanding, a key area where UiPath is catching up. Ultimately, the choice between these tools depends on specific needs. For cost-conscious clients, Power Automate is a viable alternative, while UiPath offers a comprehensive feature set and Automation Anywhere shines in document processing.

UiPath Orchestrator, a web-based application for managing deployments, simplifies the process. While primarily click-based, Orchestrator ensures a smooth and efficient rollout.

UiPath's licensing costs can be high, and to maximize their value, customers need a clear plan for utilization. The mistake many make is buying licenses without considering workload. Effective utilization comes from proper training and knowledge of UiPath's capabilities. With this knowledge, the high price may not seem so daunting. From a user's perspective, a well-defined plan is crucial. Don't buy one license for one process if you have 50! Having a full pipeline of automation justifies the cost. While UiPath may be pricier than other tools, its power is worth it – but only if you know how to leverage it.

UiPath is a strong contender, earning a rating of nine out of ten. However, its high price tag prevents it from achieving a perfect score.

Automated processes require maintenance every three to six months. Additionally, training a robot using hypercapnia elevated CO2 may take three to six months. To ensure successful implementation, we need to identify potential robot failure points and mistakes. We'll simulate these scenarios during training to refine their character responses and behaviors. Following the training period, we'll transition to periodic monitoring. This monitoring will gradually decrease as we analyze data logs and the overall system performance through the central management tool.

I have several use cases but primarily I use UiPath to input transaction data to the websites.

UiPath has helped us improve operational efficiency by automating tasks previously performed by humans. This frees up employees to focus on more meaningful and strategic work. In one project, we achieved 100 percent automation, while another reached approximately 70 percent.

Building automation using UiPath is easy even for inexperienced users.

We use UiPath to automate production processes in the healthcare industry.

To automate end-to-end processes, we employed multiple UiPath bots, as a single bot couldn't handle the entire process due to the disparate nature of the systems involved. These bots consisted of a web automation bot, a secure automation bot, and an existing legacy automation bot, which served as the backbone of the automation.

The UiPath User Community is accessible through the UiPath developer portal. It's a valuable resource full of information, where we can learn about the impact of new releases from other users and experts.

In the time I have been using Uipath, I have noticed that the text recognition tools have improved making it the best in the market.

UiPath has been beneficial in helping to minimize our on-premise footprint by automating 100 percent of some tasks.

As developers my team and I use the Developer Academy courses from UiPath to get certified. We also use the courses to help train new users which is helpful.

I am happy with the AI functionality. It has helped reduce the development time for us.

The AI functionality has helped us to automate more processes overall.

UiPath helps speed up our digital transformation and reduce the cost. Our digital transformation using UiPath did not require complex upgrades or application support.

UiPath reduces human error by 80 percent, enabling faster transaction rates compared to manual processing.

UiPath is the most user-friendly automation tool in the RPA category.

Storing data partially using internal data tables for internal calculations, without relying on a full database, is most beneficial for our workflows.

Computational text recognition has room for improvement as it is not 100 percent accurate.

I have been using UiPath for around two years.

I would rate the stability of UiPath ten out of ten.

I would rate the scalability of UiPath ten out of ten.

The technical support is good.

Positive

I previously used Blue Prism but found UiPath to be the most user-friendly.

The deployment was straightforward and took two hours to complete using four people.

UiPath is expensive which is why we need to have bots that run 24/7 to maximize the work and justify the cost.

I would rate UiPath nine out of ten.

We have UiPath deployed in one location.

Maintenance is only required when changes are made to the website.

I recommend UiPath to others.

We have multiple use cases, including banking and finance. We are primarily taking data from PDFs and manipulating it in Excel, but we also build some UI-related automations. 

UiPath has saved my team some time by streamlining our processes. Previously, it took nearly a month to complete the accounting processes, but we've reduced it to one week. Before we implemented UiPath, they were working day and night to complete the task, so it reduced the time by almost 90 percent. We're further refining the process to reduce the time to five or six days.

The solution has reduced human error, which also saves us some time because we don't need to go back and correct mistakes. It's almost 100 percent error-free. It saves us money from server costs when we automate processes because there are typically so many people working on the same task. It reduces payroll costs. 

The UiPath Academy offers multiple certificates, which is excellent because we're asked for certifications during our interviews and audits. We've completed most of the UiPath Academy course. There's a foundational certification, and UiPath offers additional courses when they launch a new feature. We can get a deeper understanding of that particular function. The best thing is that it's free, and anyone can access the academy courses. 

UiPath's interface is excellent and accessible to new developers. It's easier for beginners to learn, and the learning curve is shorter compared to other tools. If you know Python and any other programming language, writing custom scripts is simple. Other solutions like Robocop and Power Automate have less flexibility in the scripting languages you can use.

We can implement end-to-end automation in most cases because we can use a different language if we encounter any limitations. For example, in one of my projects, we had an issue extracting the data from a scanned document. After reading that scanned copy, it couldn't pull the correct number. We could clean the image using Python scripting, and recreate it so that the output was correct. If we reach a hurdle we can't get over, we can switch to a different scripting language. 

UiPath's community is another thing that sets it apart from other RPA tools. Whenever we get stuck on something, we can go to the community to see if others are facing the same issue. There are many queries in that forum. That's how my team often solves an issue. The forum will have the solution 90 percent of the time. It's a fantastic resource. 

UiPath could improve machine learning for its Document Understanding module. We have to train that model to pull the data from different digitized or non-digitized documents. The classification could be improved, but I'm not sure how they could make it better. 

Sometimes, we get an error when we are developing something in the UiPath Studio for Salesforce. It gives me an error when I create one line of code, but I don't get the error when I make the same line of code again. We also get some bugs when UiPath adds new features. If we're developing multiple activities on one core, it can slow the response times a bit, and it will take more time when we try to download the dependencies or other packages. 

If we're doing UI-related automation, updates to the website might remove a specific UI element, and it affects the code. That's a drawback to using UiPath for a website.

I have used UiPath for more than four years.

There are some performance issues during development. When we transfer a process from one machine to another using GitHub, it will work fine on my machine, but it will take time for the other developers to redownload the particular dependencies. It is not going to update immediately. 

I rate UiPath nine out of 10 for scalability. 

I rate UiPath support seven out of 10. Their frontline support agents don't know that much and often cannot recognize the issue. After contacting UiPath two or three times, they finally assigned us a technical person who could resolve the issue within twenty minutes. However, it took two or three days altogether. Our bot wasn't functioning for that entire time. 

Neutral

I have used other RPA tools, including Robocorp, Power Automate, and Automation Edge. UiPath is great for data manipulation. When we want to take values from tables like columns and rows, it's effortless because it's using the .NET language. I use Power Automate and Robocorp because some clients need to develop their processes with these tools. 

UiPath is better than the alternatives, but some of the other tools perform better. For example, if I have the same code in Robocorp and UiPath and run the processes at the same time, Robocorp will complete faster if we're only considering UI-related automation. In most use cases, it's the same, but Robocorp is a little bit faster when automating UI-related processes because it's directly selecting that particular UI element. 

If I want to click to the next page and process the data, it will be faster in Robocorp. In UiPath, it's easier to develop the code and configure the bot, but Robocorp is faster. 

Deploying UiPath is easy. Only one person is needed to install it. It takes around two or three hours to install and configure the solution because the file is larger We have to download UiPath Studio and other components

UiPath requires some maintenance. If the process involves a user interface, we need to adjust it when the website is updated and a UI element is changed. When that happens, we need to update the code that references that particular UI element.

UiPath is expensive compared to other solutions like AutomationEdge, which is cheap. Last year, it wasn't too high, but I believe they updated their licensing model, making it very costly.

I rate UiPath eight out of 10. UiPath is an excellent tool, and you can get support quickly from UiPath. One thing I would note is that you can negotiate with UiPath for lower initial costs, but they will likely increase the price after you enroll. 

We are using UiPath for office automation for our clients. We use many activities of UiPath. We are using CV, RegEx, Excel automation, and email automation.

We are working on a project for a billing company in the US that takes care of patient records for a hospital and saves them on a website. We are handling the patient billing system. We have an email as input at the start of the automation. The bot reads the input. In the input, we have the patient's name and date of birth. The bot searches the patient's name in the EMR hospital application and gets the PDF from the application. We have put some filters on the application. In the PDF, we have a patient's details and a record of their visits and the issues they are having. The bot then uploads the PDF on a website.

We process multiple records. There could be 2,000 pages or 500 pages. It varies based on the patient. For example, an 80-year-old might visit the hospital once or twice a week and will have a bigger file with notes and pictures of their visits. We follow HIPAA regulations for extracting patient information.

It is very fast and convenient. Bots give you 100% results and work 24/7. Humans work eight hours a day, but bots can work 24/7 for you. They save time and bring efficiency.

UiPath brings accuracy. It gives you 100% results. When we do things manually, there can be human errors, but bots do not make any errors.

In the last two to three years, we have done millions of processes. If we give this work to a person, it will take that person ten years to process. For automation, we are using multiple instances and virtual machines. If we need more processing, we can use more VMs. It saves time, and it works 24/7.

It has been a good experience. UiPath is efficient and fast. There are multiple RPA solutions, but UiPath is very user-friendly. It is very easy and fast to learn. We do not need to know how to code for UiPath. It is coding-free. We just have to make a logic. We just need to know the basics but not the advanced things.

UiPath saves a lot of time. Bots are ten times faster than humans.

UiPath APIs were helpful for extracting data from the website and doing the work very quickly. We could get the data directly from the website database. It did not require going to the website, typing the URLs, etc. We could directly send a request to the website and get all the required data.

I have used Document Understanding a little bit for extracting the data from the PDF and images. Document Understanding machine learning capabilities, but I have not used it much. Other teams use it, and the feedback is that it is very effective and fast. They are probably using the Enterprise version for Document Understanding. 

There are two things that are very useful. The first one is RegEx, and the second one is LINQ. UiPath is giving us Excel activities, but it is very slow. With LINQ, we are extracting data from Excel in a very quick way. It is very easy and very fast. RegEx is helpful in quickly getting specific data or text from a chunk of text.

We are also using CV. It is very useful because it uses an image for clicking and extracting data.

If we want to learn something new about UiPath, we sometimes cannot learn it directly from the UiPath Academy. We have to go and search on the web. It takes a few searches to find the solution. We do find it, but it takes time. UiPath should give the solution in one area.

I started in 2020. It has been three years since I have been working with UiPath.

It is stable. They are updating things, but it is stable with the previous code.

It is very scalable. The scalability part is very good.

We have a small team working with UiPath. There are five to ten people.

We have not contacted them much. There was an issue one to two years ago, and we contacted their support. They gave us a solution.

I have used Automation Anywhere, and I have also used Power Automate a little bit. 

In Automation Anywhere, we cannot use CVs. Maybe in the enterprise version, we can use them, but I did not see CVs and other activities in Automation Anywhere. It is also web-based, which is not a good thing, whereas UiPath is application-based.

Power Automate is a very useful tool for Excel automation or web automation, but UiPath is the best for our needs.

UiPath is very fast and convenient. It gives 100% results. It is very easy. If needed, we can also use Python or JavaScript code to make a logic for automation.

I was not involved in its deployment. For maintenance, we just update the UiPath version. We have not had any issues.

As RPA developers, we use UiPath to create automation and then we hand over the bots to the support engineers. They oversee the processing in Orchestrator. They see the automation logs and the graphs. If a bot is not working properly, they send us a message to fix it. We are using CV. If the image changes, our bot will give a failure, and we have to fix that. We might get an error once or twice a week.

I am using the Community version in my office and personally.

I would recommend UiPath to others, and I would give it the best rating. I have used other tools, but UiPath is my preferred tool.

I would rate UiPath a nine out of ten.

We are an animal health company. We work to provide various products for companion animals, such as swine and equine. We are a global company.

The business objective that we are trying to achieve with its AI-powered automation is to reduce the effort for our business users. There are certainly a lot of tasks that take them away from some more high-value opportunities within their function and improve the overall customer experience. We would like to be able to look at the data differently and to be able to ultimately improve our customers. That is our ultimate goal.

The great thing about our function within the company is that we explore automation throughout the company and all different business functions. A lot of our use cases are for replicating some of the mundane manual tasks that users do. A lot of them are data reconciliations involving extracting and comparing data from different sources. We are also exploring opportunities to be able to understand and process data better by using some of the UiPath task mining capabilities. That is what we have at the forefront right now.

It has fundamentally changed what our organization is able to achieve. There is such a global interest in automation. Being able to be at the center of that for our company and allow them not only the opportunity to automate their tasks but also be a centralized location for answering questions and helping people learn has been great.

We have very limited use cases with which we have explored some of the AI-specific features. We have done some proof of concepts with some smaller use cases, and we certainly could see the value on that small scale. We are looking forward to much larger opportunities going forward.

Even in the proof of concept, it cuts down on our time in exploring some of the processes. There is ultimately value for our team internally while doing some of the investigative pieces on some of these processes. There is also the added benefit for the users. We are able to help them faster. It has certainly been very helpful. It is hard to quantify time savings because we are just getting started with some of the tools. For the proof of concept, it saved us about a week. It was a small use case involving looking into the process and deep diving into it. Being able to allow the mining tools to do some of that analysis saved us a lot of time. It did cut down at least a week's worth of research for sure. 

This proof of concept was a task-mining proof of concept. The valuable piece that we had from task mining was being able to look under the hood in some processes. In this particular proof of concept, it was a process that the team had done for years and years and years but never took a deep dive into what all the handoffs were. Being able to record and then get that insight and that dashboard view at the end showed us a lot. It showed us where the time was spent in each part of the process and allowed our business users to focus on what within that process could be improved, fixed, or standardized. It was certainly very helpful because it was a passive way of looking at the process. Being able to see the dashboard was certainly helpful for us to communicate or to improve.

In my particular job function, Automation Hub has been invaluable. We have set up an Automation Hub specific to what we need within our team to be able to solicit automation ideas from our business users. It helps us to be able to review those ideas, meet with our functions and ask them more questions, and build our value case as well, so Automation Hub has been huge for us. We are working on setting up the insights tool as well. 

We see a lot of opportunity there for recognizing the actual value once our use cases are live in production. We have not yet used UiPath's AI Center, but we are certainly looking to do that in the future once we are more established with the tool.

We are new to the tool. Currently, we do not have any cons. There is still a lot left for us to explore. We have heard of a lot of features at the conference today, and we will certainly build upon that. As we are exploring, some of the improvements could be in the pipeline within Automation Hub and insights, but so far, we have had a great experience with UiPath. 

My company is new to UiPath. We procured the software in quarter one of this year, and we are currently working on getting acclimated to the tool. We are doing some data migrations and exploring the ins and outs of the software.

So far, so good. In terms of stability, there are no issues or concerns.

It is absolutely scalable. We have no issues or concerns. There are a lot of opportunities for sure.

Their support has been tremendous. Anytime we have a question or anytime we want to learn something more about the tool, there is no shortage of answers. They have been very helpful. I would rate their support a ten out of ten.

Positive

Our company does utilize another RPA solution. Our reason for getting UiPath was the fact that it is an automation platform, so having that full end-to-end view of the use case from ingestion to implementation to gathering actual insights and having it all in one centralized location was a big selling point for us. Its task mining, plug-ins, and SAP integration capabilities made it very interesting for us.

I have a little bit of experience with Power Automate. UiPath has orchestration, whereas Power Automate does not. It is another way through which we can bring value to our business areas with our automations. Having everything centralized in one place is a very big feature there.

I worked very heavily in setting up our Automation Hub, designing our questionnaire forms, setting up our users there, and rolling that out to our company. It was very straightforward. Our UiPath account managers have been super helpful and supportive in that. Whenever we have a question, everyone is very responsive and very easy to talk to. They have been very helpful, whether that be in person or in a meeting, or pointing us towards documentation to help us guide us through. It has been great.

In terms of implementation strategy, we logically started in the way so that we understand a process. We started with setting up our Automation Hub within our entire organization and making sure we established governance and the right security. We made sure that our asset was set up correctly within our organization. In terms of the software, we got our Automation Hub set up and we got our environments set up from a maintenance standpoint, and now, we are working on getting our insights set up for us.

We have a partnership within our organization for our team. In collaboration with them, we worked on setting up UiPath. We have partnered with Persistent, and our experience with them has been great.

We are still a little bit early with our journey, but it is certainly saving time and effort for the small number of use cases that we do have on the platform.

I do not know the specifics within my role, but from what I do know, everything has been very fair. Especially with the licensing that we have for our team, we have been able to accommodate everybody on our team with the roles and access that they require. So far, so good.

We did evaluate other solutions, but I do not know the specifics within my role. I do know that UiPath was one of the leading ones out there and the capabilities that we have seen were what we were looking for.

To those evaluating the solution, I would advise appreciating the fact that it is a platform. You can track the automation idea from intake through implementation, and then you can gather the insights once it is live or in production. Being able to have everything all centralized in one place is a great way to keep your team organized and truly measure the value of your automations.

I would rate UiPath a ten out of ten. I am enjoying the tool. At the UiPath Conference, I got to know about a lot of opportunities to look forward to. I enjoyed it.

We are a consulting firm. We started last year, and we are growing pretty rapidly.

We have quite a few document-understanding processes that we are working on. We are a partner of UiPath, so we have various clients in different industries. Currently, we are processing vendor statements to create payments in NetSuite. We also have a three-way match cache application process, and then we have a basic user interface for scraping vendors' websites for payment data and that kind of thing.

We are trying to figure out how to incorporate LOMs with everyday processes and get reliable information back. We are also training a lot of machine learning models to extract data from PDFs along with processing contracts. I hope that those get easier to train and that there are more reliable answers or outputs from the models that we train.

Our AI-powered automation initiative has fundamentally changed what our organization is able to achieve. Document processing has come a long way and become a lot more user-friendly with validations and Action Center. The straight-through processing has increased.

They are constantly making improvements to Action Center where you have more feasibility in assigning tasks. There is a lot more flexibility and data around it. We have been incorporating insights into our automations, which helps us create a business case for future automations based on what we have done in the past.

The use of AI in our automations has definitely increased the accuracy of our operations. It has also increased the ability to process certain use cases that were not available before. It gives us more opportunities to automate processes, and therefore, drive revenue.

The use of AI in automations has freed up time or resources for other tasks for our customers. The time saved depends on the use case, but they are probably saving about a thousand hours a month on the vendor statement processing. They are getting 2,000 to 5,000 statements a month. Each one takes roughly 45 minutes.

Their core platform of Studio is valuable. The ease of use and the ability to build these automations quickly is definitely a highlight for us. Our average process from start to finish takes three to four weeks. We can knock out automations as quickly as we can identify them. That is probably the best feature I see.

In Action Center, saving progress in data validation, specifically for table content, is currently not available. There should be more clarity around the feedback loop along with the auto-update feature when you deploy machine learning packages. They should give some rule-based options so that if the confidence is returned higher than the previous model trained, then it would auto-deploy. If it is less, then it should send you an email rather than auto-deploy.

With task assignment, if there was a round-robin feature within the bucket to automatically assign it to a certain group of people, that would be helpful. 

There should be the ability to add custom fields to validation tasks because there is a lot of potential for it. It would be helpful when somebody needs to identify a scenario. For example, we have a customer who is processing rate sheets for trucking, and sometimes, depending on their customer, they have an all-in rate versus an adding fuel mileage rate. If they are able to specify that, even if it does not say it on the rate sheet, it would allow them to process more documents successfully.

We use UiPath's AI Center, but some clarity is missing around when to use AI Center versus when to use the Document Understanding module within Orchestrator. We are trying to figure out the benefit of one versus the other. We have also seen that the out-of-the-box models that we train versus a custom model that we train with the same data end up with the same output result at the end. We are trying to see where these out-of-the-box models are providing value if we are going to take the time to train them.

I have been using UiPath since 2019.

We have run into issues with integration services where we developed something, implemented it, put it into production, and all of a sudden, it does not run unattended. It is a very frustrating situation to be in. 

There were some issues with sharing connections between different accounts, and we have learned from that experience to do more upfront testing of new features before we build automation on it. 

Event-based triggers not working is probably the biggest stability issue that we have run into, and integration services not working is probably the biggest gray area. Other than that, it is a stable platform.

It is definitely a scalable platform.

Their support is good. I have had good success with submitting support tickets and getting answers quickly. If it is a bug that is identified with the process or with the platform, they resolve it within a matter of a week. There was a production issue. It was a throughput issue for the AI model. We were not able to access a 100-page document because of this exception. They implemented it and fixed it within a week, which I thought was awesome. I would rate their support an eight out of ten.

Positive

I did not use any other RPA solution previously. I have only used Power Apps a bit, but it was a very small part that we have looked into. Overall, we are strictly focused on UiPath.

I have probably set up 100 Orchestrators at this point, so it is straightforward. However, the initial setup is confusing for new people who have not done it where they are matching machines to the tenant and plugging it in their machine key, but I am not sure if there is any way to get around that. When you have done it once, it is easy. 

The other thing is the licensing aspect of it. You need to assign a license to the machine template and then the machine template to the folder, and then you have to make sure that the machine is connected. There seems to be some confusion amongst our developers on how to make sure it is all set up correctly, and then you have the robot account. You have to make sure that it is also set up correctly to run unattended automations. It is a challenge, but if you do it two or three times, you get the hang of it.

In terms of the implementation strategy, overall, we look for quick wins upfront so that we can build the program and get support behind it, and then tackle the more advanced use cases after we get three or four in production.

We have cloud deployments. We have had different cloud providers, such as Azure, AWS, and GCP.

We are a consultant. 

We have definitely seen an ROI in terms of hours saved and quality of work. Once you get off the ground, there are a lot of other departments that end up getting excited and looking forward to future automation. I feel that is a win for morale.

Overall, the model is fine except for AI units. It is usage-based, which makes sense if you are processing documents, and you have one unit per page. It is the hosting cost of the models where there are issues, so we are running into potentially designing poor solutions because we are having to say, "If the documents are very similar but different enough, even though you would prefer to use two models, maybe consider not using two because of the hosting costs."

Power Automate is something we might look at. UiPath has orchestration while Power Automate does not. Orchestration is vital for us.

If you are trying to do in-house development, the user experience is much better than any other platform that we have evaluated. It is easy to pick up. The UiPath academy, training, and forums are great. The biggest selling point for me is that you can pick it up as a business user and learn the platform in a matter of days or weeks as opposed to months or years.

I would rate UiPath a nine out of ten.

We use UiPath in various internal departments to automate our HR, financial, and IT operations, including access management and ISO compliance to control traffic.

We have UiPath deployed both on-premises and in the cloud.

Building automation with UiPath is easy. The solution is user-friendly, and we do not require technical knowledge or skills to use it. With a little training, we can start building automation with UiPath. Customer support is helpful if we get stuck at any step, and the dashboard is user-friendly and centralizes control in one place.

We use UiPath for multiple end-to-end processes.

The UiPath User Community is a good place to learn and get answers to questions we have related to UiPath.

The UiPath User Community edition is flexible and allows us to practice and learn for free before taking what we have learned to our enterprise edition of UiPath.

UiPath has improved our operational process efficiency, allowing us to schedule processes to run 24/7 and freeing our employees from repetitive tasks so they can focus on other work.

UiPath Academy courses are useful for our employees. We also have access to the enterprise learning portal, where materials are available.

UiPath has helped reduce human error. When all the prerequisites are met and the process is fully automated there is a zero percent chance for human error. For the processes that are not fully automated, UiPath was able to reduce human error by 60 to 80 percent.

Before UiPath we had one employee tied to one business process and after implementing UiPath we have one employee tied to multiple domains. Our staff now has time to work on other tasks.

The most valuable feature of UiPath is the ability to consume APIs directly from any application.

UiPath is expensive, and its cost could be reduced to make it more accessible to small and medium-sized businesses that could benefit from it. The orchestrator and licensing cost should be flexible instead of hard-coded licensing.

UiPath is limited to one application at a time and cannot process two applications simultaneously. This functionality could be improved to support dual browsing, making it more efficient.

I have been using UiPath for almost four years.

We have not experienced any crashes of UiPath. We have experienced some slowdowns three times this year, but this could be due to our internal network rather than UiPath.

The scalability is good. We can adjust our workflows according to the conditions with no issues.

Technical support is extremely helpful. We contact support whenever we need to upgrade our volumes, and by following their guidelines and prerequisites, we can easily complete the upgrade ourselves. Once the support team responds to our call they are quick to resolve our issue.

Positive

Before UiPath, we performed manual integrations, but the types of processes we could automate were limited. We faced challenges automating any process where humans needed to make decisions or where minor tweaking was required between the target and source applications. UiPath has removed these restrictions.

UiPath is easy to install, and its representatives are flexible in supporting our installation. Upgrading our libraries and maintaining UiPath security protocols is also easy, which makes the overall installation process straightforward.

Two people are enough for the deployment.

We implemented UiPath in-house.

UiPath is more expensive than other solutions on the market, such as Microsoft Power Automate.

The Flex license is around $11,000. It should cost at least half that price compared to other solutions. We must purchase an orchestrator for each platform, which is mandatory and adds to the cost. UiPath should consider this and offer a more economical license.

I give UiPath eight out of ten. The cost brings down the overall rating.

Maintenance is required when running UiPath on-premises for the server, OS, and DB. On a bi-weekly and quarterly basis. We also have to implement tools for the firewall.

I recommend UiPath for large-scale and multinational organizations because they can afford the licensing costs. Organizations should explore UiPath before embarking on a transformation journey, as transformation requires significantly more cost than automating existing legacy applications. UiPath is flexible and can integrate with all applications.

We use UiPath for web scripting, data loading, data uploading, desktop application scripting, file uploading, and data downloading. 

I am a developer, and I love the tool's easiness with features like drag and drop. The tool is ready to use with some minor updates. 

I have had issues with the selectors. I face problems during image capture, and I need to update them. It is not something that I can rely on. 

I have been using the solution for three years. 

UiPath is stable. 

The product is scalable. 

I contact the support whenever I am stuck, and they help me. 

Neutral

My director explored a lot of RPA tools and selected UiPath. He convinced the organization that it was a good tool. 

UiPath's upgrade is easy. 

We evaluated WinAutomation and Blue Prism. 

Our business objective for implementing AI-powered automation is to reduce manual work. 

UiPath has fundamentally changed what our organization was trying to achieve. 

The tool has helped us save 3,000 man-hours. 

UiPath has enhanced our accuracy. We do government reporting where we are given templates. The Excel files are locked, and we have to type the data. There are thousands of cells, and we must generate weekly, monthly, and quarterly reports. We have to assign a person for each report. 100-180 such reports have to be generated. We use bots to populate the cells, and there are no errors. We can see that there is 100 percent accuracy. 

I rate the product a nine out of ten.