We use UiPath in all business areas like finance, HR, accounts payable, production, etc.

UiPath's entire package is valuable. It is a user-friendly solution.

UiPath needs to incorporate French and Portuguese language-based training. It is not easy for people without an IT background.

I have been using the product for four years.

UiPath is stable.

We have rolled out about 20 citizen development programs. We aim to reach 100 by the year's end. We use it all over the world. It is scalable.

We chose UiPath because it is easy to expand the benefits program.

The tool's deployment is time-consuming.

UiPath is expensive.

We implemented UiPath to increase quality and take away repetitive tasks from employees so that they could focus more. It helped us to cut down on time.

The tool has helped us save a few minutes of employees' time.

I rate it an eight out of ten.

I have used UiPath for use cases that are both transactional and linear. It involves human resources, cybersecurity, OEM reporting, IT service management, service delivery, and examining of patents and trademarks. We work with federal agencies in the public sector.

I enjoy the enhancement of UiPath's debugging tools. I like the IDE and integration services. There have been massive improvements. I love to work with Orchestrator. It has become more streamlined and helpful.

UiPath needs to improve its documentation. AI Fabric's installation was an absolute nightmare. I tried to get help from the documentation portal and couldn't find what I was looking for.

I have been using the product for four and a half years.

We have seen ROI with the tool's use. One of my use cases involves the Patent and Trademark Office, where two GS-15 patent attorneys worked on patent suspensions. An unattended bot helped to save two full FTEs' a year's worth of work.

We wanted to achieve less human error with AI-powered automation. We also wanted to streamline the process so that human involvement was less. Also, it helped us do more things than a human.

AI-powered automation has increased accuracy for one of our use cases. We used AI Fabric and Document Understanding to help with reconciliations that came in PDFs.

Automation has helped us free up our resource time by over 1000 hours.

I last used Process Mining in 2020.

I don't enjoy using Power Automate since its scope is limited. The environment where I use Power Automate did not purchase advanced licenses. UiPath offers more flexibility for programmers who are into API solutions. It wasn't available in Power Automate, which annoyed me.

I run a team of developers and spend most of my time in Orchestrator. It is the best product from UiPath.

We automate business processes that take up a lot of effort and manhours. Our company deals with a lot of documents.

The most valuable feature is Task Capture.

We work with Google Cloud and are excited about the possibility of a partnership.

I have been using the product for six months.

The tool is very stable. The product's stability depends on the processes you configure it with.

UiPath's scalability is impressive.

UiPath's support is great.

The tool's deployment was straightforward. There were a few inefficiencies within my company.

We currently have the tool deployed across different business lines suffering from silos. In the future, we may move towards a centralized structure.

We have seen ROI with the product's use.

We want to reduce our employees' demand hours and have them focus on high-value tasks.

UiPath has fundamentally changed our organization, and we want to learn more about its capabilities.

The tool has freed up our resources' time.

I rate the product a ten out of ten. I like working with the software. It might be daunting to start automation and get employees to accept it. However, having a good rollout plan and strategy will ease your concerns.

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.

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 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.

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.

Our use case started with the financial sector. We are expanding it to the navy's other operational aspects, such as HR, legal, procurement, etc.

UiPath's most valuable features are automation and document understanding.

I want our relationship to be better because of the nature of what we do.

I have been working with the solution for four to five years.

The solution is very stable.

UiPath is scalable.

We work very closely with our UiPath representative.

We used Microsoft Power Automate. UiPath suits our cloud environment better than Microsoft Power Automate.

Deployment was complex because of our environment since we needed to get approvals.

We work very closely with Deloitte.

We had evaluated Automation Anywhere.

Our business objectives for AI-powered automation are finding inefficiencies and improving efficiency and ROI.

AI-powered automation has helped our organization to be more efficient and faster. It is working 24/7.

UiPath has enhanced the accuracy of our operations. We were able to recoup funds that we previously knew didn't exist. It has boosted people's morale since they are not working on tedious tasks.

We estimate that UiPath has saved the Navy about 156,000 hours. I rate it a ten out of ten. You need to understand the tool's processes.

We use UiPath for document manipulation. It helps us split PDF files, clean and submit them to the government website.

The tool's most valuable feature is the ability to pull information and manipulate documents.

UiPath should improve its support team.

I have been working with the product for six to eight months.

I haven't had any issues with stability yet.

UiPath is scalable.

UiPath's deployment was complex because we weren't familiar with it.

A partner helped us with the tool's implementation. They did the development work while we focused on back-end activities like getting the servers up.

We have seen ROI with the tool's use. The legal department saves time and money with its use.

I wasn't surprised by the tool's pricing. It was comparable to my expectations.

The business objective we tried to achieve with UiPath was the PDF turnaround times. We needed to meet the deadline for the filings. If we missed the deadline, we couldn't submit them. Hence, the timing of submitting the filings was critical.

I work for a law firm where timing is critical. AI-powered automation has helped our organization unload people from repetitive tasks and instead focus on client and legal work.

UiPath has freed our resources' time. Earlier, eight to ten people needed to work eight hours to complete the filing. We can do it in under an hour without ten people focusing on the task.

I rate the product a nine out of ten. You need to take advantage of the solution's training to help you understand its capabilities. I was new to the product and was surprised by its capabilities. It is a huge benefit to access the training without paying for it.

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.

My primary use case is mainframe automation from legacy mainframes that previously hadn't been automated with other automation tools. The product worked like a dream with the mainframe automation.

We're trying to get rid of the boring, mundane tasks that people do every day so that they can spend more time doing more important things like figuring out why there are issues happening rather than just putting a Band-Aid on.

In our first year of jumping into it, we set up the infrastructure and everything, so it's been less of a year of development, but we have saved a hundred thousand hours.

The automation efficiency depends on what the job at hand is and how much it saves. But some of the tasks done constantly throughout the day, even if it's only saving five minutes, add up really fast.

We use Task Capture all the time. We have a bank business analyst who uses it and teaches people how to use it. We're constantly getting process definition documents to review and add to our pipeline.

Studio itself has all its great features and is easy to use.

There are bugs here and there. My only complaint is that each time we open a new ticket, we get someone new and have to explain how everything is set up all over again.

It would be nice if they had that somewhere on record for support.

I have been using UiPath for two years.

It is a stable solution; everything seems to be running pretty smoothly altogether. The biggest issues are not on the UiPath end, but on our company's end like, network issues and issues like that keep popping up every now and then.

The support's been pretty decent. We have a TAM, so we have someone we are constantly in contact with.

We meet with them weekly, and they're very helpful. If we do have to open up a support ticket, there's a bigger issue that they can't help with. They usually help get the ball rolling.

Support has been pretty helpful. Like any other support though, they ask all the basic questions in the beginning just to figure out what has or hasn't been done.

My only complaint is that each time we open a new ticket, we get someone new, and we have to explain how everything is set up all over again. So it would be nice if they had that somewhere on record.

The initial setup was straightforward. There's plenty of documentation that is easy to follow.

The hardest part was more on our company's network and infrastructure, trying to navigate all the hoops that we have to go through just to make sure it's secure and the network's secure. Getting access to what we need to get access to.

We're still kind of new to things and working on migrating to the cloud. We're one small team in the organization. By moving to the cloud, we're hoping we can onboard more and more teams to be able to use it and spread it throughout the company.

UiPath helped us along the way.

There are other automation tools that the company uses, but they can't do everything that UiPath can. All of the potential automations just kept being pushed to the side until we started using it.

We used Microsoft Automate for a very short time. We started looking into it for some tasks. The issue is that we're trying to automate it deep inside our corporate network, so, we haven't really been able to use Power Automate.

Overall, I would rate the solution a nine out of ten. The amount we could do in one year is pretty impressive.

We use UiPath across a diverse range of functions and departments, encompassing accounting, human resources, loan servicing, employee progress tracking, and loan origination.

Our primary objective has always been to navigate the cycles effectively, ensuring that we can manage fluctuations without the need for constant hiring and downsizing. It's all about maintaining a consistent workforce over time.

The most valuable component is Studio—it's the cornerstone of our automation efforts. Recently, we've delved deeply into Insights, which has proven to be incredibly beneficial. Our key focus is on eliminating time-consuming tasks and enhancing reliability, especially in repetitive processes, which is where automation has proven to be a significant asset.

Simplification and adaptability for smaller businesses would be a welcome enhancement.

I have been using UiPath for approximately six years.

It is highly reliable, and we didn't have any issues with it.

When it comes to scalability, one aspect to consider is understanding the licensing for on-demand bots and related components. There have been some challenges, mostly on our side, particularly concerning high-density servers.

The ideal scaling strategy involves adding more instances to these servers. We have opted for standalone virtual machines for each partner, and while this approach offers scalability, it does require the manual setup of additional machines, which can be a slower process for a small IT team like ours.

I contacted customer support only once when we encountered an issue related to changing the institution name within an application. Fortunately, the support team was able to resolve the matter successfully. I would rate them ten out of ten.

We were using a software called Winautomation, which wasn't very robust. So, we made the decision to switch it, which has been a beneficial change.

The initial setup was relatively straightforward. The main challenge we encountered was obtaining security approvals when transitioning to on-cloud.

Initially, there was just one automation tool in place. Our first step was to rebuild that process using UiPath and then we engaged with various business teams to explain the concept of RPA and gather input to create an initial backlog. Afterward, we collaborated with management to prioritize the tasks and determine the order in which we should proceed.

I find the licensing structure to be perplexing, and it frequently changes. The inclusion of AI units, raw document units, and Cloudmont licensing, along with various sub-licensing options, can be quite complex and non-intuitive.

We were considering a few alternatives, such as Blue Prism and Automation Anywhere. The primary goal was to find a solution that we could commit to for the long term. Ultimately, it appeared that UiPath, which is an industry standard, was the best choice. I also had previous experience with it at a previous company, which made the transition more comfortable for me.

Overall, I would rate UiPath ten out of ten.