UiPath Platform Reviews

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 use UiPath primarily for tracking purposes. We are a logistics provider and have external portals and websites. The tool aggregates information from these systems to our core application. 

We leverage the whole platform. The tool's most valuable features are unattended and attended robots. 

We have to change our account representative every year, which is frustrating. We have to re-explain our business every year. 

I have been using the product since 2020. 

UiPath is stable. 

The product is scalable. 

Support becomes frustrating when the team asks about the cloud and organizational details. 

Positive

Our implementation strategy involved choosing a small use case first, improving the value, and accelerating. 

Two to three partners helped us with the implementation. 

The product is worth its money. We have seen an ROI of 274 percent. 

UiPath is not cheap. 

We evaluated Automation Anywhere and Blue Prism. We chose UiPath because I was familiar with it, and the local representative didn't have a sales pitch tone. 

There is a gap in the marketplace for tracking specialized services. UiPath was the only way to achieve it quickly. 

AI-powered automation has fundamentally changed our organization. We have repurposed the hundreds of headcounts and enabled them to focus on more meaningful work. 

UiPath AI Center has grown and evolved from what it was. We are looking at more opportunities since the person who managed it has left the company. 

We are still trying to figure out AI's use in our operations. It brings in efficiency, but we are in the process of validating it. 

AI use has sped up our time to about 256,000 hours a year.

We have only started to use process mining.  

We use UiPath Platform for automation to reduce manual effort in repetitive tasks.

The UiPath Platform has helped reduce manual effort by almost 70%, as there is no manual intervention needed. We use it for both technical and non-technical teams, including the HR team and Learning and Development team. The HR team sends offer letters to new candidates by filling an Excel sheet with the candidate's name, role, probation time, and package, and the UiPath Platform script takes this Excel input to create and send the offer letter to the candidate's email automatically, eliminating the need for HR intervention.

The best features I appreciate about UiPath Platform are its drag and drop activities and the ability to automate and schedule daily tasks with triggers, which eliminates the need for manual effort. For example, the storage team used to log into a device and take the capacity data to send to clients, but we have automated this process using UiPath Platform, scheduling it with Orchestrator, so logging into the device is no longer necessary, and the mail is sent to clients automatically.

I find that the UiPath Platform's selectors sometimes break if the UI changes, which can be a little frustrating. I wish that the selectors would automatically adjust to changes in the UI, as that would be very helpful. Also, I would want the Orchestrator to have a more user-friendly UI to make it easier to find options for scheduling and tracking logs.

I have been using UiPath Platform for the past eight months.

It is stable. I would rate it an eight out of ten for stability.

It is scalable. I would rate it an eight out of ten for scalability.

Approximately five members in our team are familiar with using the UiPath Platform.

I would rate the technical support of UiPath Platform a nine out of ten.

Positive

I only have experience with Automation Anywhere. Compared to Automation Anywhere, the UI of UiPath Platform is different but easier to navigate. I find the drag and drop activities in UiPath Platform to be user-friendly, allowing for the selection of modern activities for advanced automation, while classic activities also suffice for other tasks.

The pricing for the UiPath Platform is reasonable if the company pays for it. There is a community edition available for individuals to learn up to a certain level, but for monitoring and tracking logs, we need the Advanced edition, which is not pricey. If the company covers it, the cost is fine; however, if someone wants to pay for it personally, it can be quite high.

We are considering implementing the AI integration feature in UiPath Platform, but we need more expertise on it. In UiPath Platform, if you have any Python code or API, you need technical expertise on Python scripting to integrate it. Whenever you want to integrate any language with the UiPath Platform, some level of expertise is required.

We deploy the automation using Orchestrator, with UiPath Studio being used for creating workflows. The different editions include Studio for designing automation workflows, Robot for executing processes built in Studio, and Orchestrator for managing and monitoring robots. It takes just one day to deploy automation into the on-premises version of the UiPath Platform. After deployment, we can check the logs the next day to ensure everything is running smoothly.

The solution does not require much maintenance, as any packages automatically update their version, eliminating the need for us to manually update them.

I would definitely recommend UiPath Platform to others because it significantly reduces manual effort. The use of triggers in Orchestrator automates much of the process, and it also provides logs for easy tracking. 

My overall rating for UiPath Platform is nine out of ten.

We are considering implementing AI as we are a healthcare staffing company in the education sector. Our use case focuses on processing a large number of emails and resumes. We aim to mine resumes to determine which are best for rapid and successful placements. On the communication side, we wish to perform sentiment analysis to assess how well our salespeople respond to clients.

We want to mine, structure, and analyze data using data science methods. We also hope to use generative AI and large language models to perform some of the data analysis, saving us lots of time. My company tripled in size in the last three years, so we have a lot more people, but the backend operations haven't grown at the same pace as the number of salespeople. 

Automation helps us with operational and analytical work because we lack enough talent for that. By using AI, we can do the same amount of work without hiring more people, so we save money and improve productivity. Generative AI is part of our discussion. We had to decide whether to develop our own model or use existing software like UiPath to get things done faster and easier.

We have about 15,000 consultants working for us during the school year, and to fill those positions, we may need to interview five times that many. A lot of them might drop out by the time school starts. Using UiPath and AI, we can speed up processing and onboarding because that might be why people quit. They might leave for another job if we don't onboard them fast enough. We can save more candidates and prevent revenue loss from a potential placement by making the processing time faster.

After implementing UiPath, we automated many manual tasks. We save a lot of time, and those people who used to do manual work are doing more knowledge work. A lot of them now see what bots can do, so they're more open to the idea of developing bots. That set the stage for them to trust AI-powered bots in the future. 

The most valuable featire is the whole automation suite that helps develop automation processes. In the future, we might further explore Communications Mining and Process Mining. 

There's a push for cloud-based operations, but I prefer to develop things on the desktop. I'd appreciate the ability to develop things on the desktop and roll them out concurrently on the cloud. 

My company has used UiPath for about two years, but I've used it for about a year.

UiPath is very stable.

UiPath has kept up with our growth. However, there's a limitation with licensing.

I previously used Blue Prism in a different company. However, for the current company, they had no prior automation solution.

Our IT support company, Coretelligence's parent company, helped with the initial implementation. There were renewal delays prompting a desire to work directly with UiPath.

From a cost-saving perspective, we are seeing a lot of returns, including internal staffing cost savings and HR bot efficiencies.

UiPath's licensing could be cheaper and more dynamic. The licensing can sometimes feel high, especially for smaller companies, but generally, the pricing is reasonable when considering the time saved and corresponding costs.

I wasn't the decision maker, but my CFO considered industry leaders and attended the Forward Conference. He was impressed and chose UiPath. One thing that he liked was that it was easy to learn and use. 

I rate UiPath eight out of 10. I enjoy working with it, and it seems to have everything we need. They're adding new features at a reasonable rate while not deprecating old stuff too fast. It's a smooth transition from classic to modern activities.

We use UiPath for intelligent automation integrated with machine learning models.

We previously did many of these processes by hand, and our team found that frustrating because it took a lot of time. There was a chance we could have errors in reports that are critical to the organization. UiPath processes are around 90 percent accurate. Since we implemented UiPath, it has become essential to our organization, and we cannot live without automation now.

UiPath has helped us reduce our on-prem footprint. Its AI functionality has helped us automate more processes while speeding up digital transformation and reducing costs. UiPath has saved team members' time, allowing them to spend more time on valuable tasks instead of tedious, repetitive jobs. 

What I like the most about UiPath is that we can build custom activities. If we want to customize functions based on our logic or use case, we can do that. 

We also like the UiPath community. It's the best help you can find online. If you have any issues, you go to the UiPath forum to find answers to existing questions. If you can't find the answer you're seeking, you can post your question and get an answer quickly. The UiPath Academy has some hands-on activities to practice, and they offer a certification. It's a great way to grow your knowledge. One drawback is that the cost of the certification exam is pretty high. 

The most valuable features are document processing and integration with AI/ML models. Using the solution's AI functionality was a bit challenging initially, but once we researched how to use the intelligent automation, it was fairly simple. Overall, building automated processes is easy. The end-to-end automation capability is crucial for large organizations because it reduces time and energy. 

We use intelligent automation for things like document processing. There is a validation center where the ML model extracts some values, and we can validate if it's correct. That aspect could be improved a little. The percentage of values extracted without validation could be increased. It's currently an attended process, but they should give you the option of making it unattended. 

I have used UiPath for more than four years.

I rate UiPath eight out of ten. 

I rate UiPath 7.5 out of 10 for scalability. 

I rate UiPath support eight out of 10. 

Positive

I have used Automation Anywhere. It's also a good solution that's easy to use, but I like UiPath a little more.  I prefer UiPath because I've done more projects on it.

Deploying UiPath is straightforward. The implementation took a few months because our use case was so complex, and we had to optimize the processes to make them more efficient. Our development team has four people. After deployment, the bots require some maintenance. Admins need to update the automations and ensure the bots are running. 

We've realized considerable time savings with UiPath. We were previously reading and inputting information from documents manually. One document took almost two or three hours. UiPath automation brought that down to two or three minutes. 

UiPath is relatively expensive. It's not expensive if you only need to automate one or two processes, but if you need to use more, it's somewhat costly. There's also a free community version.  

I rate UiPath eight out of 10. My advice for new UiPath users is to complete the training first. Get all the knowledge you need to implement automation before you start working on it. 

We're a tech consulting company that works for insurance companies. We use UiPath for tasks related to payment processing, deductibles, and denial of coverage. We check each part of the process to ensure that the patient has met a set of criteria. We're checking the deductible to see if it has been met, and we update the notes on the platform. UiPath is useful for all of our clients regardless of the industry. For example, we have used it for payroll and payment processing at Citibank and Doshi Bank. 

A bot can run 24/7, reducing the human labor required. That is UiPath's major advantage. It reduces the number of manual tasks while also improving and enhancing human labor. A manual task that took 10 minutes in the past can be completed in two or three. We are saving a lot of time. 

Let's say we have eight people doing a particular task eight hours a day on a five-day work schedule. Once we automate that task, we can run the bot 24 hours a day Monday to Sunday. Automation reduces our costs and human error. The accuracy and data security are high. It's beneficial all around.

Uipath facilitates data sharing between systems. We have some shared folder packs that enable us to share the data from one system to another. This functionality can be important, depending on the project and type of data. We use some encrypted features. If we want to share data in encrypted mode, we can put it in an Orchestrator folder on-premises so only those with access can see the data. 

The business will share the data, including employee and patient records. All the data is shared within the database.  Either the employees can send data over, or they can access the data from that particular folder. UiPath offers a central portal for managing patient information. We've done a lot of things to extract and utilize patient information, ensuring that it can be accessed by the appropriate teams. We have to train our bots to capture the right information, like the patient's name, address, ID, location, etc.

UiPath is good for data scraping and extracting information from websites. UiPath is approachable, and it makes life much easier by automating repetitive tasks with the help of drag-and-drop flexibility, eliminating human interaction. The drag-and-drop APIs make it easy to get data from the API quickly.

I also like UiPath's security features because it gives us lots of tools to secure sensitive information. We can encrypt the customer data and store it in UiPath on-premises. We can also control access so that only authenticated users can obtain the data. 

Citrix and email automation could be improved. We can use the features, but the accuracy isn't 100 percent. 

I have used UiPath for the past five years. 

I rate UiPath support eight out of 10. They provide us with assistance while we are developing bots. We can send the Orchestrator logs to UiPath to find out where a process is failing. For example, a web-based process might be using an old particular password. The support team will notify us that we need to update the password in the production environment. 

Positive

Before we implemented UiPath, we tried Automation Anywhere. I like UiPath the best because it has capabilities like Document Understanding, AI, fabric, etc. UiPath has more features than Automation Anywhere. When we did a POC of Automation Anywhere, we found that the data scraping wasn't as accurate when working with PDFs. 

The deployment may be straightforward or complex, depending on the project. Before each project, we have a testing phase of about seven to eight days. We have a 10-day monitoring period. In that 10-day period, the developer is also involved with the support. We have a different support team that takes care of most of these things, like deployment and monitoring the processes. If something goes wrong, they have to open a ticket and reach out to the developers. 

Our implementation process involves checking all the business requirements. We look at the software and machines our clients use and the steps involved. Once we know the business requirements, we start working on the modules. We determine how many modules we need and the amount of time it will take to develop them. 

After that, we have a daily scrum call. If we have issues, we reach out to the business, and they will come back with a solution. We need to undergo this initial development phase before starting anything. Once the development is completed, we have multiple process design documents detailing the processes and steps. We also work with third-party integrators. About seven or eight staff members are involved. 

This solution does not require much maintenance once it is deployed and we've granted the access required. Once we've ensured the process is running and done the initial updates, we don't need to maintain it.

I haven't calculated the ROI, but I've heard that other people have seen 60 to 70 percent return on what they invested.

The pricing depends on the project and how many hours we will charge. 

I rate UiPath nine out of 10. There are still a few areas that require improvement. Before implementing, I suggest doing a POC so you can evaluate other tools side by side to see which one is best. 

We are a partner of UiPath and a system integrator for our clients.

For most clients, we tend to begin by focusing on areas with the highest potential for automation. This typically includes finance, procurement, or HR functions, with the first two being the most common choices. These areas are chosen because their processes are generally stable and repetitive, making them ideal starting points for RPA implementation.

However, our experience doesn't end with just one client. We've had numerous engagements, including with large, multi-company groups. Once one division like the "glass division" successfully implemented RPA, it often sparked interest in other divisions like the pharmaceutical division. Demonstrating a solid proof of concept makes it easier to scale the technology to diverse use cases across the organization.

Ultimately, overcoming the initial hesitation and showcasing the tool's benefits is crucial. Once the value becomes apparent, a shift often occurs, transitioning from a client-driven demand to a proactive push from various departments eager to eliminate tedious manual tasks.

While we haven't encountered any major technical roadblocks, understanding the potential for automation has been the primary challenge for users. Initially, we also faced some learning curve hurdles during the first few projects. However, as our internal expertise matured, approximately 80 to 90 percent of use cases have been implemented smoothly with minimal or no support from UiPath. It's clear that effectively identifying tasks suitable for automation versus those requiring human intervention has been the key hurdle. From a purely technical standpoint, the capabilities have been readily achievable.

While UiPath facilitates end-to-end automation, its feasibility heavily relies on the specific use case and associated tuning costs. The decision to automate isn't solely driven by cost reduction, but also by the number of tedious tasks it can alleviate for employees. Clients are often eager to free their workforce from such repetitive drudgery, especially if the task is long-standing and well-defined. In these scenarios, full automation often presents a compelling value proposition.

The UiPath user community exists on two levels. First, there's the general UiPath user community, managed by UiPath itself. This broader community offers a valuable resource for learning, sharing experiences, and finding solutions. Second, once a UiPath instance is set up within a specific client's environment, a smaller user community emerges within that client's organization. While this internal community may seem less significant, its role in supporting individual users in tackling automation challenges is crucial. By sharing their experiences and overcoming difficulties, these internal user communities can act as "roll cages" for individual functions, providing guidance and support regardless of the specific challenges encountered.

Initially, our focus was solely on on-premise solutions. In fact, up until last year, I hadn't encountered a single client who had implemented their RPA solution on the cloud. This was primarily because we catered to a mainly small business clientele. However, the landscape has shifted significantly, with more and more cloud-native solutions emerging. This shift has been driven, in part, by the cost-effectiveness of cloud-based options. One of the major roadblocks to cloud adoption in the past was the pricing of the orchestrator. While it might be suitable for supporting large client bases with thousands of users, it wasn't cost-effective for smaller businesses with only 100-200 users. Fortunately, UiPath has introduced a new approach, allowing us to purchase orchestrator instances tailored to specific user base needs. This, combined with the inherent benefits of a cloud-based platform, has made the cloud a much more attractive option compared to 2019. In conclusion, cloud computing is now a critical factor in the RPA landscape, and the adoption of cloud-based solutions has become significantly easier. This shift has opened up new opportunities for businesses of all sizes to leverage the benefits of RPA technology.

We started with five or six people trained online by UiPath and the different certification programs available in the UiPath Academy courses were helpful.

UiPath has helped to drastically reduce human error to almost zero by automating all the structured data that used to be done manually by people. This has improved the quality of work for our clients.

UiPath has helped free up employee time. Previously, we analyzed each potential use case to determine its priority. Before committing to a specific case, we built a business case to assess its potential benefits. This involved analyzing how much time automation could save, the associated cost savings, and the number of transactions it could automate. We performed this analysis during the design and assessment phases of our workflow. Following this process, we would gather the data and present it to management for approval before moving forward with automation. The amount of time saved depends on the individual use cases but they are significant. What used to take hours now takes seconds.

UiPath has delivered cost savings for our clients' organizations, not through mere implementation, but through thorough assessment. We start by demonstrating the technology's value through small-scale projects, then scale up. At this point, we gather a list of potential use cases, identify the number of users who could benefit, and pinpoint the manual tasks ripe for automation. Only then, with a business case in hand, do we proceed with full implementation. This careful approach ensures that when use cases are deployed, they translate into meaningful time savings and reduced manual workload. As a result, our clients typically see cost savings in staff reductions of at least 30 percent.

UiPath is an efficient and user-friendly tool. It allows us to record and capture actions, which it then translates into underlying code. This makes development incredibly fast. The centralized orchestration feature is also a major advantage.

Clients are often convinced by its features and marketing. In some cases, when competing with Blue Prism and Automation Anywhere, UiPath has won out due to its faster time to market. This was especially true during the early days of RPA when clients were still experimenting and wanted to try multiple vendors. UiPath's flexibility and strong support, both during evaluation and implementation, were also key factors in its success.

We sometimes use the AI functionality mainly for document scanning but at the time it was poor and had room for improvement.

The operation costs have room for improvement. 

I have been using UiPath for over four years.

UiPath is a stable solution.

We haven't encountered any scaling issues, and UiPath is theoretically scalable for up to 10,000 bots. We've successfully implemented over 100 use cases for a large client with multiple subsidiaries, receiving no complaints.

The technical support is good.

Positive

The initial setup is straightforward and UiPath worked with us for every deployment.

We implemented UiPath for our clients in-house.

We evaluated Blue Prism and Automation Anywhere. Blue Prism and Automation Anywhere are not as user-friendly as UiPath and they don't have the same user community.

I would rate UiPath a nine out of ten.

Previously, we distinguished between Automation Anywhere and UiPath based on their bundled offerings. Automation Anywhere included category two AI capabilities with their RPA solution, while UiPath focused solely on RPA and didn't have much presence in the AI space at the time. Although UiPath could integrate with other AI vendors, this wasn't a significant interest for our clients.

Most deployments we completed for our clients were central.

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.