UiPath Platform Reviews

Our core business is BPO, which is Business Process Outsourcing. We have massive operations that we have to perform for our customers and we have a digital section of the company that is assisting with that. The digital section is relatively new, being no more than two years old. We are building a number of solutions and tools that our digital section is using, and RPA is one of these tools. The goal is to help our customers innovate and assist them with their digital transformation, ultimately making them more efficient and more profitable. This is possible because some of the processes are very repetitive and performing them with humans is a very bad choice.

We have a hybrid environment, where some of our functionality is on-premises and some is on the cloud. For example, we have some cloud-based automation, and we use UiPath Apps, which is on the cloud.

We had a successful use case at the beginning of the year where we needed to process a large number of invoices that had contained errors when they were originally sent to the customers. There were approximately 200,000 invoices and we had a deadline of four days to complete the task.

It began with us developing the bot, which was completed in less than a day. After that, we sent the bot to our production environment to start processing the invoices. We were successful in the task, through the parallelism of 50 robots, we could process 5 invoices per second.

We have some metrics that describe how long it would take the process to be completed manually. It takes a human an average of between 60 and 90 seconds to process just one invoice. We estimated that it would have taken approximately 125 days to complete this task manually, with between 250 and 300 people working on it together.

We don't use the low-code functionality. Rather, we use the typical development features. When you're talking about developing inside the UiPath, you have something very user-friendly, so you don't even need to use the low-code options. It is very intuitive and you don't need to know technologies such as C# or .NET to develop automations.

The use of UiPath has helped to increase customer satisfaction by a lot. Our main goals are to improve the average handling time that the customer needs to complete transactions, as well as to improve quality. Customer satisfaction improves not only with the financial benefit resulting from a better average handling time but also, from improved quality in transactions. Our human resources department uses tools such as surveys to investigate the quality and they have their own metrics and KPIs for customer satisfaction.

Our first-contact resolution rates have increased because as we develop successful cases and implementations for different customers, future customers benefit from this through faster service, which leads to better customer satisfaction. I estimate that our first-contact resolution has increased by 15% to 20%.

The time it takes us to create automations depends on what we assess the complexity of the bot to be. We have a methodology and metrics that have been developed by our Center of Excellence, categorizing the bots into small, medium and complex. A small bot, which has simple logic, is something that we implement in between one and two weeks. A medium-complexity bot has a timeline of between two and four weeks, and a very complex bot takes four to six weeks to implement.

The most valuable feature that we are using is UiPath Apps because it makes it very easy to implement tasks. It is very easy to scale operations, which is important because we're not talking about just five or ten agents. We're talking about 1,000 to 2,000 agents. The Apps feature helps us to scale very quickly and very easily. We only need to develop one or two bots and then link them to UiPath Apps to process everything. All of the integration between the bots and the human, along with any scheduling that needs to be done, is taken care of by Apps. In our situation, the Apps feature is the best solution to handle this scale.

Utilizing our bots is very easy, and it is done using the licenses that we have with partner UiPath. We can access our licenses, then distribute them to the customers and we can use them dynamically. This is all done in a very easy manner. We just have to navigate to the web-based hub, where we have access to everything that we need.

UiPath is highly customizable and this is helpful for us because we can develop models and frameworks that can be reused for different tasks and different customers. For example, if we have a customer with a process that is very similar to one that we have previously developed for somebody else, we can reuse the models to scale the bots. This makes the new development very easy and very fast.

The Agent Console is able to provide customer insight in conjunction with the task and process mining features that we use. We install the tool into the machine that the customer uses every day, where it will capture the manual tasks and processes into a database. The insights that we receive are related to whether a process is a good candidate for RPA. For example, if it takes the human a lot of time to complete, or they are having trouble with it, then it might be suitable for RPA because putting a bot in place can optimize performance.

Another reason this is important is that human operators work very hard with day-to-day tasks, and they don't have much time to stop and look for processes that can be automated. Using task and process mining, it starts pulling out those insights. For example, it looks for the number of screens that the human is accessing and clicking on. It looks at each click, as well as every navigation and extraction. In the end, it generates a report for us.

The Agent Console has helped to decrease the average agent handling time, which is our main goal when it comes to these massive business operations. Average agent handling time is the metric that we primarily work with and as such, everything we do is related to reducing it. RPA in our use case is not used only to reduce the HC or FTEs; but it is used to boost this particular KPI too. In one of our use cases, we have had an average decrease of 30% in agent handling time, which is very considerable.

There are some enhancements that can be made within Orchestrator, such as the addition of new dashboards that provide us insights into processes that are already running, which would help us a lot.

We have been using the UiPath platform since last year, at the beginning of 2020.

The stability of UiPath is very high, and this is a very important point. In fact, stability was the problem that we had when we were assessing the competition with UiPath. We evaluated several RPA tools and moved on with the UiPath partnership because it was the most robust. It is important to remember that we have a high availability environment, and the entirety of it must be stable. Our team is tool agnostic and extremely skilled in the largest RPA tool providers, enabling us to develop automation on any platform.

UiPath is very easy to scale because, in every part of our solution, we use the Apps feature. This accounts for high availability and automatically provides us with scalability. For example, if we have a process that is handling 100 invoices at a time, but in three months we grow and need to instead process double that number, there is a feature that we can use to instruct the bots to run on additional machines. The scalability is very dynamic in this regard.

UiPath has a function within Orchestrator for dynamic allocation, where it can draw resources from a pool of machines in the infrastructure. For example, if there are 30 machines available then an option can be set to dynamically use the licenses. If there are 10 or 20 bots that need to perform tasks, the licenses will be automatically used to run the processes. You don't need to look at these machines to see what is running because all of the management will be taken care of automatically.

We currently have 25 staff involved in RPA. There are 20 developers and five architects, just to keep the projects and everything with the customers up and running. We expect this to improve and grow, doubling our numbers this year.

In fact, our expectation for growth is very high. Along with each implementation or development that we do, new opportunities arise. I would estimate that for each successful implementation that we have, four to five new opportunities are presented. Naturally, we will need to have more licenses and more contacts to increase the total number of bots in our environment.

From end to end we have about 50 robots already developed and running in a productive environment. We have human operators, back-office analysts, supervisors and coordinators involved in the whole process of execution and monitoring.

After our initial deployment, we have rarely needed to be in contact with support. Our in-house team can do most things autonomously.

We have a premium support package from UiPath and they are very useful and very helpful. They help us with whatever we want and without any doubt support is one of UiPath's strengths. This is not just in a technical sense, but in terms of business and strategy, as well.

As mentioned earlier, our RPA team is agnostic to the tool to be used. We can give our recommendation based on the customer's needs but if he has any premise that a specific platform should be used, we follow his needs.

The initial setup is very straightforward. We have a very good team of architects and we also had some assistance from UiPath. It was not simple, but it was not too hard, either. It was okay and we didn't have any problems with the implementation. In total, it took between three and four weeks to complete the deployment.

In terms of strategy, I think for the best implementation, you need to first have the infrastructure set up. The infrastructure and architecture should be very well defined with UiPath because you have a bunch of functionalities that may or may not be useful, depending on the type of business.

Deciding what functionality is required is the very first step. Then, the second step is to have a methodology and a center of excellence for RPA, including frameworks and best practices. This will help to ensure that everything is implemented correctly and that you don't have problems in the future. Finally, you need to have certified developers and certified architectures because this is the most relevant part. You want bots to go live with the best quality to ensure customer satisfaction.

We now have the ability to provide this type of environment to a customer very quickly. We can configure the environment in between two and four hours, to have it fully up and running, and it is very simple to do. This is because we have an RPA infrastructure already built, so you just need to acquire the hardware that includes the machines and servers. Once they are up and running, we activate this section and we can develop and build the bots.

UiPath was a big help during our initial setup. We have premium support, and they helped us with parts of the architecture, the infrastructure related to servers and the cloud, and getting it all set up properly in our high availability environment. It was like a four-handed job and it was all done well.

We have many different projects and customers and I would estimate that it has saved us and our customers something between $4M to 5M in total.

Just looking for our success case of the invoices processing, we avoid a cost of $10M.

The price of UiPath is higher than competitors, although the cost depends on what functionality and tools you require. For us, we don't need anything extra in terms of functionality but our contract includes an extra charge for premium support.

We evaluated UiPath, Automation Anywhere and Blue Prism, all the best RPA tools providers in the international Market. As we are agnostic with the platform, we can develop using any of those three tools.

One of the cons of UiPath is the price. It's a bit higher than the other RPA tools. In terms of the pros for UiPath, it is more stable, it works in our high availability environment, the support is good, it is very agile and we can develop automations very quickly. Also, implementation was very fast and scalability is important.

We have conducted a proof of concept using UiPath's unattended robot capability to enable a self-service chatbot. Specifically, we used the unattended bot to speak with our S3ND (messaging) solution, which is a chatbot. The scheduling was done via APIs and the communication was done through the chatbot. This is something that we have tested, but not yet deployed. We do think that this is an important next step for us to look at.

We do not use the Document Understanding and AI Fabric features at this time but we are already testing it in some of our customers to implement them as soon as possible.

Another feature that we do not yet use, but we are looking into, is using the AI Center to drag-and-drop machine learning models into RPA workflows. We recently had some discussions with the technical specialists at UiPath about the newer features that are available, and we are looking into arranging for training and webinars that will teach us how to use these new features correctly. Once we have a better understanding of how to implement them, we will begin looking for specific use cases.

The biggest lesson that I have learned from UiPath has to do with our customers and their operations. The most difficult and important challenge that we have is changing the mindset of our customers such that it is in line with digital transformation, and this is something that UiPath helps us with. They provide us with everything we need in terms of security, implementation, and high availability. Really trusting that these bots are doing the right thing is the biggest advantage that UiPath provides for us.

There are three main points that I would make for anybody who is considering UiPath. The first is the cost, in terms of money. The price of investment is high but the benefits are uncountable. Next, it requires that you look into what you really need, and whether it is all of the features that UiPath offers or just some of them. It is also very important that you look at your infrastructure because it has to be able to handle all of the bots. For example, we know that our processes need a lot of computing power and a lot of memory, so the hardware is important. This has to be built in advance of purchasing the software. The final part is the team, including the developers and architects. It is very important that they all be certified by UiPath. There is training and courses available, they make everything clear, and it includes learning the best practices, frameworks, and models to assure that you're doing everything right. If the company is audited and you are doing it properly then you won't have any headaches.

I would rate this solution a nine out of ten.

We primarily use UiPath for end-to-end automation. We develop both attended and unattended bots and we use the Orchestrator module, hosted in Azure.

Some of our typical use cases involve automating operations like downloading files online, analyzing and capturing details, saving them in another location, transferring them, and uploading them in other forms.

The app studio feature has increased the number of automations that we create while reducing the time it takes to create them. For example, we have a limitation when it comes to transferring files from one server to another server. However, we were able to resolve it by using a remote desktop on the UiPath server. I don't need to log into another system or another server; instead, I log in and use the remote desktop from my PC. It's really cost-efficient and it saves me a lot of time. It's superb.

UiPath helps us to implement end-to-end process automation starting with process analysis through to monitoring, and this is very important to us. Whether we are automating processes for external customers or internal purposes, there is an automation lifecycle that we follow. The end-users do not have much knowledge about automation, so we have to complete it from end-to-end.

It starts with analyzing the process to see if automation will work. We then develop it by trying to replicate what the user does manually. Once it has been developed and the functionality replicated, we test and tweak it for approximately two weeks. If everything goes well during this time, the process moves to production. In production, processes are continuously monitored.

The testing is a detailed process that involves finding the problems, then implementing error handling using try/catch statements and other methods. It is done in a continuous, agile fashion where we develop, publish, trial, error handling, monitoring, and then it starts again. When a process is pushed to production, when a change is made, it does through this lifecycle again.

How UiPath has improved the way our organization functions is clear when we look at one of our use cases. We need to have notifications about documents that describe the release of products. Our bot will start by filtering documents online using keywords, download the appropriate documents, then check to make sure that each is complete. If there is a problem then emails are automatically sent to the appropriate department.

From this point, we transfer the file into another folder and upload the current version to the release team. They will only receive what they need, rather than having to go through the document themselves. Prior to this, they needed to check it on their own and analyze everything. With this work being done by the robot, it relieves us of two person's workloads. What used to take three people to complete, is now done with one.

In terms of saving time, for our use case that involves the release documents, we save between 80 and 100 hours per week, so monthly, you can multiply that by four.

The time saved by our employees sometimes allows them to focus on higher-value work or in other cases, when we don't need the persons, we can reduce the workforce and then hire people in different roles, such as new developers. Overall, this helps us to improve our workforce. For example, we can branch into more areas, rather than do the same thing for many different customers.

With respect to employee satisfaction, if somebody loses their position then they may not be happy. However, it is important to remember at the same time that we may open a new position because of this opportunity. This allows the person to move, find new opportunities, focus on new things, and develop themselves. To me, this is a win-win because we are more focused on generating new types of business.

UiPath has definitely helped us to reduce human errors. This is a benefit to us because, before this, we used to get customers complaining quite often. However, we have reduced the complaints. We still need to have the customer complaints section but now, we have reduced it from five people to one. The robot is not 100% error-free, but it's between 90% and 99.9% error-free. With so few complaints, we don't need as many people to deal with them.

Overall, UiPath's process analysis and optimization have increased our productivity.

The most valuable feature for me is the UiPath Studio.

It helps a lot. I wouldn't really say it's code-free; however, I would say that it's 90% code-free. It's very easy to use, with most of the actions performed using the drag-and-drop interface. When you do write code, it's a very small amount of the time.

The library activities are really helpful. With the help of the library and with the help of the forums, developers can focus and it is easy to learn. It helps in terms of time-to-value.

I also find Orchestrator to be helpful. The Studio and the Orchestrator together are like your body and your soul. Without both parts, it won't function. You need to have Orchestrator to run the Studio. Right now, today, we have a problem with our Orchestrator and it's not working. I can't use Studio because it's connected and without access to my Orchestrator, I can't do anything.

The academy courses help in the process of getting employees up to speed with the solution by providing them with the fundamental knowledge and the opportunity to practice. When you start doing it, you may face errors and again, with the docs, you may gain more knowledge. When you start to use the forums, you get more knowledge, and it all helps. But, if you only rely on the forums, I would say that it would help only 60% or 70% of what you get compared to taking the academy courses. In the end, you will only get better by doing it, and then going to the forums when you have problems.

The testing and release schedule for Studio should be improved because we find that with two releases per year, one of the versions is stable and the other one is not. It would be better to focus on a single release, but make sure that it is stable. We have had problems in the past with this and we don't need any unstable versions. For example, version 20.4.2 was not stable but version 20.10.2 was very good.

Technical support and customer care are areas in need of improvement. 

We have been using UiPath for between six and seven months.

We are in Switzerland and normally, we use local support. When they cannot resolve an issue then it is transferred to the US team and we get support from them directly. In our experience, the support in Europe is not sufficient and we prefer to speak directly with the UiPath headquarters. We find that here, the people do not have enough knowledge.

We have had a lot of problems and for example, we have an issue right now where our Orchestrator doesn't work. We have had to wait about a week for the ticket to be escalated to headquarters, and because of delays like this, we are not always happy with customer care. The product is good but the technical support can improve.

We had issues where the first person tells us one thing, but a second person says that it's wrong and it needs to be done another way. Then, a third person speaks and presents another idea. This all takes a lot of time before a fourth person explains that everything is wrong and it has to be done another way. A lot of the time when you have these kinds of problems, you just have to start from scratch.

It can be frustrating because we had spent almost three weeks upgrading our system to the 20.10.2 version and now, we face the same problem. We have not been able to properly run our system for between three and four weeks.

I have not personally used another RPA solution but I have colleagues who have experience with Automation Anywhere. We primarily use UiPath but there are some developers in the company who regularly work with Automation Anywhere.

We did not switch from one product to another. Rather, they are used for different reasons. For example, I have heard that when it comes to performing file transfers, Automation Anywhere makes it quite easy and they do not have the limitations that UiPath does.

On the other hand, I feel that the AI in UiPath is doing better. We have lots of workflows and activities in UiPath and I strongly prefer it as a product.

I wouldn't say that the initial setup is complex, although when you are just beginning with a new environment, it is not that easy, either. Because it is a new thing, you will need to learn in the beginning.

We followed the guide and found that the installation was not very tough.

UiPath saves us costs, but there is more to it than that. It saves us in terms of time spent on manual tasks, but on the other hand, we pay UiPath. On yet another hand, with the money we save, we are open to new opportunities and new business.

Overall, I am very happy with the ROI.

The price of UiPath is a little bit high, although there are no costs in addition to the standard licensing fees. Overall, it is not too costly, but slightly high.

We have not yet used the AI functionality but we are trying to. We have not developed any uses cases yet but it is something that we are working on. We will be taking some courses on it first and after that, we may try some internal use cases.

We have advanced our technical knowledge by using this product. For example, we now use JSON config files, rather than using Excel.

One of the biggest lessons that we have learned is that it is nice to have a good solution design before starting development. There were times where we tried to do something one way but a problem occurred, so we had to solve it by trying different features, then testing and running it again. A lot of time is spent during this process. Now, we have learned to focus more during the design, then start to develop it.

My advice for anybody who is implementing UiPath is that it works really well in Windows, so they have to have a Windows machine if they want to start developing.

I would rate this solution an eight out of ten.

We develop and deploy use cases in the area of the cloud. We have deployed over 100 use cases. Most of our use cases are related to SAP applications, web applications, and mainframe applications.

One use case example is related to mainframe applications. The bot monitors mainframe applications 24/7. If there are any new jobs, they are identified, then the bot changes the status of the job to differentiate it. 

Previously, we are using the 2016 version of Orchestrator, then we upgraded to the 2018 version of Orchestrator. Some clients are deploying the 2020 version. It depends on the client. We suggest using a version back to clients, i.e., the 2019 version. 

We automate retail, sales, and agricultural services.

There are a bunch of candidates being monitored 24x7. Automation Cloud monitors these jobs, and whenever new docs come into the application, it will then change the status manually based upon certain conditions. Once we deploy the automation into the production, our manpower has been reduced so there are only one or two people needed for the backup. The rest will be taken care of by the automation itself. So, there has been a drastic reduction in our workforce.

We schedule different jobs using Orchestrator only. We have a separate team who takes care of jobs that we apply in Orchestrator. So, if there are any failures, it will automatically send email alerts to us. 

Within Orchestrator, there is a tab where we can restrict roles from the admin level to the user level. Developers give only access to the jobs. Whereas, admins have a roles option to restrict access.

There are still some areas that need improvements. Currently, the tool is not 100 percent accurate with hand written notes and image based automation. It is also tedious using it with Word applications. 

We are doing automation to take care of all our processes, but we still need support people 24/7 to monitor these jobs. So, human intervention is still there. We have two people monitoring these automations 24/7 because there are still some challenges with the automation.

I have been working with it for two and a half years.

When new bots are developed, we definitely see some errors in the first few days, which are usually connector issues. Once the bot is moved to production and has a lot of enhancements and patches to the automations, we make sure that the automation is running smoothly. So, during the initial stages, it won't be very stable, but after a few enhancements to adjust to the automation as time goes, then it will become stable.

Once we deploy and release the automation into production, we will monitor production to see if there are any new challenges, different scenarios, or bugs that we need to fix. We have monitored the automation after deployment for around six to seven months, and the automation went smoothly without any issues. Because the automation is performing pretty well, we have deployed it to more of our workforce and their different jobs.

We have separate, dedicated test data in three different environments. Orchestrator has a database and email server, so everything is in Orchestrator. Apart from the servers, products, and services, everything has a separate operations team, which has eight to 10 members, who take care of everything.

Previously, they used on-premises services for the bots. Then, they asked us to migrate more than 20 bots from on-premises to our AWS environment. So, we have created a dedicated AWS environment for them.

The deployment process goes this way: 

1. Developers develop the use case in a development environment. 
2. Once that is done, then they will move the code to the non-cloud environment.
3. They will test the code if the automation is running fine or not. If automation is running fine, they will show the data which is running fine as a code to the client. 
4. Once they have the desired output, then we will move to the production environment. 
5. The operations team will then deploy that process. 

The first time, it is a bit tricky. Going to production, it will take around 20 to 30 minutes to deploy the first time. If there is already existing automation, we only need a patch to implement it in production, then it will take roughly five to 10 minutes to apply.

The process of testing and deploying code takes roughly one to four nights maximum.

For deploying UiPath, we need at least three to four RPA developers. In general, one person can deploy at any time. The other two to three people are just there on support calls. 

Post-production, we have an operations team of eight to 10 members who take care of the automation.

There are some automations that save us thousands of hours monthly. These are automations that we run 24/7 as well as some automations that we run every five minutes for installing backups. Depending upon the amount of time the automation is standing, we will manage the capabilities of the server. 

To some extent, it has reduced the operations:

1. The automation is sending an email whenever there will be an error. Automatically, it is not going to the user. The user just needs to verify their emails. 
2. Whenever an error is noticed in the code, the automation will fit the address and email the operations team members. 

In these ways, it has helped to reduce operation costs, but not completely.

There are three types of licenses: unattended, attended, and developer.

We also use Automation Anywhere (version 10) and Blue Prism automation tools, but I think most clients prefer UiPath. There are more activities available in UiPath versus the Automation Anywhere version that we use. For example, UiPath has database-related activities, but Automation Anywhere, version 10, does not have this feature. I have tried using mainframe appliances in UiPath and Automation Anywhere, and I found that UiPath is more flexible and has more options available.

The solution is single sign-on, so the authentication is done for us, because it is difficult to remember all our passwords.

We have a ServiceNow ticketing tool for reporting issues related to UiPath.

UiPath is very good for developing web-based applications, especially for SAP and the web. For these two applications, you can go with UiPath without any doubts.

I would rate this solution as an eight (out of 10).

UiPath is used to automate processes, eliminating the need to increase headcount.

There was an increase in both quality and quantity while not having to increase admin simultaneously. We have successfully automated the majority of our automation projects.

The UiPath automation has helped us to keep our bottom lines down across the board.

UiPath has helped our organization with its environmental and social initiatives.

It has freed staff time for other tasks, improved their work quality, and saved hundreds of hours per month.

UiPath is the best automation solution available today. The process and task management are the most valuable features.

UiPath's Unassisted Task Mining has room for improvement.

I have been using UiPath for four years.

UiPath's stability is reliable, especially now that we've moved to the cloud.

UiPath scales well. We have not had any issues.

UiPath support has been responsive to us.

Positive

UiPath has successfully met our expectations by reducing project costs through automation, demonstrating a strong return on investment.

I would rate UiPath ten out of ten.

I have used UiPath in my last three companies.

I use UiPath to reduce any data entry, report generation, or anything where UiPath can help avoid human errors.

The solution is very user-friendly and easy to use. It comes with pre-built automation. The tutorials are very helpful. 

I have been working with the product for six months. 

The tool is stable. 

UiPath is scalable. 

The tool's support is helpful. 

I use UiPath to reduce human errors during report generation or data entry. Simple errors can cause delays down the stream. 

The product has helped us save hours, which can range from a few hours to tens of thousands of hours. 

UiPath has helped us increase accuracy. It is helpful in data validation. 

I rate it a ten out of ten. 

We use the solution for the implementation of automation for normal processes. We deliver use cases to customers.

The ability to automate everything is great. You can also do process mining and optimize costs. It can help save a lot of money in an organization. 

Depending on the business, and how you calculate the cost vs savings, the time to value varies. 

It's a complete ecosystem. It has everything you need. You can do attended or unattended bots. There's AI. There are document processes that you can do as well.

It's very easy to create any type of automation. It's the best solution so far in the market. 

We are able to implement end-to-end automation. It's important that you can automate anything with UiPath. You are not limited. You don't have to have any extra connectors. 

It has helped minimize our on-premises footprint. You can migrate to the cloud if you like. However, many companies, like banks, do not prefer the cloud. They prefer on-premises setups. 

I've used the Academy courses. I've started one and haven't finished it. My plan in the future is to utilize it more. The structure and details are great. If you are new to UiPath, it's very good. It helps effectively onboard new people. 

It helps reduce human error. 

We can free up employee time by 90%. 

If you are saving time, you are saving money, and therefore, it has helped save costs. 

Everything is working well. Of course, there can always be improvements.

I would like to see them integrate with generative AI like ChatGPT. It might make a developer's life easier. 

I've been using UiPath since 2019. However, I have not been continuously working on it.

The solution has been very stable. I'd rate stability nine out of ten. 

The solution is very easy to scale. 

I've never been in contact with technical support. 

We previously used a different solution. 

The implementation is very easy. The deployment is similar to other products. You create a file and share it with a customer and they import it. 

Through our methodologies, we define, design, deploy, and maintain. 

Pre-deployment, we need to do some testing. After that, once it's accepted, you deploy. You don't need much staff. 

There is some maintenance required for future changes in the application and any issues that may arise (like bugs). Typically, there's a business analyst and people from IT as well as someone from whatever department it's being deployed to. 

The customer deploys the solution. We take care of the design and implementation. 

I have noticed an ROI while using the solution. In general, a business analyst would do the calculations to see how much money would be saved if a robot was deployed. 

I do not deal with the licensing. 

We are UiPath partners. 

I'm not certified in UiPath, although I do have experience with it. 

I have not used the AI functionality yet.

I'd rate the solution nine out of ten. It's easy to work with UiPath. It has very good documentation. 

We use UiPath for web scraping. We extract data from websites, store them in boxes, and analyze them later. 

UiPath fails jobs sometimes and doesn't give you direct instructions on why it failed. A little more insight into failed jobs would be beneficial. It should have more documentation and short training modules. 

I have been using the solution for a year. 

UiPath is scalable. 

The product's installation is easy. 

Our business objective for AI automation included making our team members' time more efficient. We didn't want to spend an hour or a day manually downloading the data. We wanted to automate it and save time. 

AI-powered automation has fundamentally changed our organization. We can get the data quickly and instantly anytime. It can be uploaded directly without needing someone to check it manually. A bot does it for us. It saves time, speeds up our time in the market, and scales up our business. 

Automation has affected us positively. We often focus on data; having them at the right place and time is very important for us. UiPath helps us to achieve it with accuracy. 

UiPath has saved us at least five to seven hours a week. We also save money since we don't have to outsource or seek the help of an intern to do the manual downloading task. 

I rate the product a seven out of ten. 

I used UiPath for the energy sector and HR, but they were almost industrial processes. The bots were performing and doing transactions all the time.

The use cases were mostly about the extractions from several websites to manipulate data and to put data into other websites to update. We also had campaigns, and we needed to trigger and send lots of emails.

Our clients could automate manual tasks that were boring. They also implemented a chatbot using UiPath where whenever people called, they just entered the application, and UiPath could retrieve information about the person without them having to go to System A, System B, and System C.

UiPath enabled us to implement end-to-end automation. I went to a system, took the information, and went to a website to submit the information and take out the output. That was end-to-end automation.

It speeds up digital transformation.

UiPath reduces human error, but it also depends on the use cases. It has had a positive effect on our clients' businesses. 

Employee time has been reduced because bots can work faster than humans. It saved a lot of time for our clients, but I do not have the metrics.

UiPath, depending on the use case and the company's infrastructure, can save a lot of money. It saved a client's company half a million or a million. It is worth the money.

The best feature of UiPath is that it is easy to use. UiPath Orchestrator is also easy to use. 

Data scraping is very powerful in UiPath. It is very versatile.

I have not explored all the UiPath functionalities. I am exploring it a little bit more now, but they are moving to the modern experience, which is something I do not like. They are going in the wrong direction. I like the classic experience for developing, and as a developer, I am used to it, but they are going to the modern experience with selectors and other things. It might have certain advantages, but I do not like it. They should maintain the classic activities. They can consider providing both options instead of taking the classic ones away.

I have been using UiPath for almost three years.

I have always worked with UiPath for industrial processes. For instance, it was used for a company that was always processing contracts. They submitted new contracts and ended lots of them at the same time. We did not use it for filling forms or small automations. 

I have not contacted their support. I have used the UiPath Community. It is very easy to use. There are lots of people asking questions and lots of people answering them. I usually go there to consult other people. Their community is very valuable.

UiPath was the first RPA tool that I used. Before UiPath, I had only worked with BPM and BPMN solutions such as Appian and Bizagi. I switched to UiPath because my company chose it. We had a client who wanted to implement UiPath.

I have seen it deployed on-premises and also on the cloud. I do not know about the deployment of the UiPath infrastructure. I only know how to allocate licenses or install the UiPath license on a computer, which is not hard. It is easy.

It is worth the money if you have enough automation and enough use cases. That is applicable to every automation platform. As long as you have the use cases and you can automate them through that application, it will be worth the money.

It is expensive, and it is now getting more expensive. They are the number one in the market, and they are taking advantage of that. It is hard for the companies that have the full infrastructure supported on UiPath to change it. They have to keep it. UiPath is taking advantage of it.

Its cost depends on the company and the contract.

I used UiPath in my previous organization. I recently changed my organization, and I am now comparing RPA tools.

I would recommend UiPath to others if they have use cases for it.

I am certified in UiPath. I have used UiPath Academy courses. They are useful when you start developing. I have also attended their seminars.

I have not used UiPath's AI functionality in the automation programs. We started to use it, but then I changed the company.

Overall, I would rate UiPath an eight out of ten. I cannot compare it to others because I never used any other solution, but I find UiPath to be simple and easy to use.

I use it for RPA in bank reconciliation, credit card operations, retail banking, vendor invoice management, purchase order matching, and employee onboarding.

It helps to minimize the on-premises footprint and speeds up and reduces the cost of digital transformation. It also reduces human error and that reduces costs and makes systems more reliable. 

UiPath can also free up employee time. It depends on how many automation initiatives you run, but you can probably automate 20 to 30 percent of tasks.

Overall, the most valuable aspects are the automation, UI navigation, and orchestration.

It's fairly easy to use and automation can be done by relatively junior people. It's a low-code platform, so it requires a little bit of scripting but nothing too crazy. A business analyst can use it in most cases.

We're an implementation partner, so we don't use it for ourselves because we're too small. But for our client base, it enables end-to-end automation. That's a very important aspect, especially in banking where there is a lot of competition, the margins are low, and operating costs are high. They can't make any mistakes. That requires them to have an automation solution that does manual and repetitive tasks for them. It's a cost imperative.

And being part of the UiPath user community is a positive. I have also done a couple of the sales-oriented UiPath Academy courses. They are really easy to consume and they are free for partners and they're very business oriented.

UiPath is not easy to work with, as a vendor, from a partner perspective. They are difficult to deal with.

I have been working with UiPath for two years, not as an engineer but in business development.

It's very stable. I've not heard of any major issues where the system collapses.

It's scalable. You can throw more and more robots at it.

Technical support from UiPath is slow but good enough.

Neutral

ROI depends on the customer and what they need, but you can definitely have a return on investment of 300 to 400 percent within about three years. It's a relatively quick payback.

They are the biggest RPA vendor with the highest market share. They have a good product and the company seems really innovative. They're branching out into AI and process mining, et cetera. Generally, as a vendor, they're the strongest one in the mix.

My advice is to start sooner rather than later with RPA.

There is a lot of hype around the topic of RPA and customers are exploring it, but they can't do it without partners; at least not the first couple of projects. Deployments with our customers take about six weeks.

We maintain the solutions we create. We normally have a support contract in place for at least the first couple of years. Maintenance, on our side, involves two or three people.

I have used UiPath for multiple use cases, such as data entry processes or extracting information from emails to certain applications. I have also used it for financial processes like invoicing and analytics, and there are IT applications like user onboarding. 

We can implement processes quickly with UiPath. It doesn't take us long to fix issues and develop a new process. It has enabled us to reduce our on-premise resources by automating around 30 to 40 percent of processes. We cut costs through digital transformation and managing model processes. 

UiPath freed up the time of some of our data staff. Some processes that would normally require three or four hours can be completed in under an hour. We can also utilize UiPath to get some tasks done on the weekends or after hours.

UiPath is user-friendly, so new users find it easy to understand. The processes are accurate. We see very few errors once they are implemented. The processes are reusable. We can create multiple components that we can use repeatedly and combine them with other processes. It's flexible. 

We used UiPath Academy when we were learning the tool, but we haven't used it that much since. It takes time to do the courses. I finished the initial tutorials in one or two days, but some courses can take an entire day. They last much longer than I need. 

UiPath allows end-to-end automation. We work with stakeholders to learn about their requirements, and UiPath has a thousand automation tools that can capture many kinds of processes.

It isn't clear how to use UiPath to implement some use cases like chatbots, so we need to spend a lot of time searching for documentation on the web. To discover how to do these automations, you need to read and figure things out through trial and error. 

I have used UiPath for a year.

I rate UiPath support an eight out of ten. There's some room for improvement. UiPath support should be more accessible. We should be able to connect to support faster and resolve the issues sooner. When we open a ticket, we would prefer to get a call instead of an email. A priority issue is easier to resolve over the phone, so that would be preferable. 

Positive

The UiPath license is costly. It would be helpful if we could get a bulk discount or any reduction, so we could use UiPath on a much larger scale. 

I rate UiPath a seven out of ten.