UiPath Process Mining Reviews

We're using ProcessGold on the UiPath to review one of the financial processes from accounts payable for all Latin American transactions in our shared services center.

When it comes to valuable features, I think the first one will be the way we can visualize the whole process. The other one is the automation percentage that gives us an idea or an opportunity to figure out what to do next.

The connection to other systems could be better. I don't think it's an issue right now, but I think it could be better. I would also like the connection between ProcessGold and the RPA's interface to be more transparent.

UiPath Process Mining is a stable solution.

UiPath Process Mining is a scalable product.

Technical support is very good. The team responds to us very quickly.

We used Celonis, but it was a pain to develop that solution. We chose UiPath because there was a pilot program to compare it with Celonis. It wasn't as expensive as Celonis, so we used the pilot to confirm the functionality and deployment time. Celonis took about six months to connect with SAP. With UiPath, it took about two weeks.

It was easy from an SAP perspective, but we needed to use more things on the server to connect it to ProcessGold. Some native connectors would have probably made it easier. It took us about two months to deploy the full solution. It was very fast.

We deal with UiPath directly, but I believe that UiPath used consultants from another firm to help us.

We pay yearly, and I believe a support fee is paid monthly.

On a scale from one to ten, I would give UiPath Process Mining a ten.

We are using Process Mining to identify processes to be automated. We are also using the product as part of our hyper-automation strategy. Right now we have been able to identify a lot of automation opportunities within the company based on the data that we are collecting from different system processes.  

My shortlist of valuable features includes all the different types of analysis. For example, you can do a root cause analysis. In other words, if you have a process that has many different scenarios, you can identify where the problem is. You can also identify bottlenecks with root cause analysis. You do this by looking at the time that has been spent in specific stages or steps within the processes being performed. So the benefit is identifying the root cause by identifying the time that it takes to release that specific bottleneck. You can then look for ways to remedy the bottleneck.  

To exemplify how this works, let's say you have a process that in the regular SLA (Service Level Agreement) takes two days for response time. The process is getting stuck in one step consistently and just that step is taking a day-and-a-half. The rest of your process is only half of a day, but just because there is a problem in one step, you are taking two days to complete the response. Now that the critical step is identified, you can look at taking measures to ease that pain point.  

Another great feature is the ability to see processes at a higher level and take in the whole picture. If a process has too many variances — say there are 20 different ways of doing the task — you can identify which process is the one where that happens more often. This will prompt you to focus on that process for any possible ways to automate it and simplify the complexity.  

One of the main pain points that I identified with the tool is the simulation. What I am looking for is a tool that is able to help us simulate scenarios. In practice, we pose scenarios to determine what happens if we change the value of a specific step in the process. A good simulation module would help you answer the question as to how well making that change will go. Process Mining is more of a pure process mining tool, but I think adding simulation capabilities will increase the value of the solution exponentially. Adding simulation capabilities would allow us to do some additional forecasting as well. I think my suggestion — considering the product category — is doing more to support integration with that type of simulation capability even if it is not directly in the product.  

A second pain point has to do with a deeper exploration of what you have mined. If there were an option to export to UiPath Orchestrator or the UiPath Studio functionality you can then further explore and utilize whatever you have mined. The export would make the process into some usable components that could be mined or used in other ways. I think that will be a great help and addition to the product. It would mostly be useful for development purposes.  

We have been using the Process Mining (it used to be Process Gold) for about four months now.  

I am actually impressed with the stability of the product to this point in time. We have not experienced any issues with lagging or processing problems.  

Process Mining is definitely scalable. We have been able to add some other business departments to work with the product so they can start looking into the efficiency of their processes as well.  

The other thing that affects scalability is tenancy. With the on-premises solution, they were offering a multi-tenancy option, where then you can partition everything. On the cloud, it is a little bit different because everyone just gets a tenant in the beginning. Both are scalable, it is just handling the scalability differently.  

For now, the group of people using the product is more centralized. Use is limited to a few people within the Center of Excellence because we are the ones currently making all of the process analysis. We are making decisions based on the data we mine. It is not yet enabled for use by everyone at the organization. So, for now, less than 10 people have access to it. There is no reason to believe that this usage will not be easy to scale.   

Of those 10 people, just two or three are required to be involved with deploying the updates and maintaining the solution.  

I have not yet had to use technical support for Process Mining. I have used the tech support for other UiPath tools in the past with other technologies such as Orchestrator and Studio, and I have experienced a very good response from the tech support team. They act pretty quickly on anything that we ask them for and most of the time their analysis and their recommendations are very accurate. I assume that the tech support experience for Process Mining will be similar as it is within the same company.  

The initial setup is pretty straightforward because it is on the cloud. I am not really sure how difficult it is to install on-premises, but in the cloud, it is very simple.  

The way that we started here is by getting a trial version of Process Mining. With that, we got to play around with the tool and we got to see whatever we needed to see to make our decision about using the product. When we decided, UiPath just converted the license into an enterprise license and that was the extent of the difficulty of 'installation.' It was really a seamless integration that virtually required no installation time or configuration.   

We are currently working on an ELA (Enterprise Licensing Agreement), but usually, the pricing of Process Mining is based on an annual subscription.  

The cost per year depends on the users and what the clients are able to negotiate with their salesperson. The use case factors into the cost in the end.  

We did not actually evaluate other options before choosing UiPath Process Mining, but we did a broader assessment and analysis of multiple tools. The main drivers of our assessment were the integration with RPA (Robotic Process Automation) and road mapping the product and additional features that the particular product offered. We wanted to integrate the solution well with the RPA and we needed to know what the immediate capabilities of the product were. Of course, the cost played into this as well, but the cost is a consideration when you are effectively comparing a breakdown of functionality. Some features may be worth more to you than others.   

One of the things that I will suggest for people looking into this type of solution is to also look into task mining. That is another complementary feature within process mining that is going to allow users to see all their processes from a more detailed perspective based on individual tasks within the processes.  

On a scale from one to ten where one is the worst, and ten is the best, I would rate UiPath Process Mining as a nine-out-of-ten. The capabilities are strong and the product performs at a high level.  

We have deployed UiPath Process Mining mostly in banking systems. There are a lot of banks that we work with that do reconciliation, invoicing processes, and loan applications. We use UiPath Process Minings to automate in these areas.

We use UiPath Process Mining in many areas of our organization, such as our back office, HR, and payroll teams. 

In India, the banks forbid the use of cloud solutions.

The most valuable features of UiPath Process Mining are the ease of use, it's provided us with good indicators of which processes can be automated. There are lots of non-value-add activities which are being done that have helped us identify. If we apply lead principles we are receiving a lot of benefits without automating. You are actually getting a lot of benefits even without automating.

We have automated 50 percent of our known processes which is good.

UiPath Process Mining could improve by limiting the number of updates.

I have been using UiPath Process Mining for approximately two years.

The support from UiPath Process Mining is good.

The licenses are flexible, they start once they are activated. The license is purchased annually. The cost of the solution is very good compared to other similar solutions.

I would recommend this solution to others.

I rate UiPath Process Mining a nine out of ten.

UiPath Process Mining can be deployed on-premise or in the cloud. 

I am using UiPath Process Mining for receiving the financial ledger details from the system because of the end-to-end payment posting. UiPath Process Mining's posting on the account written solutions, we are only using the schedule for process mining.

The most valuable features of UiPath Process Mining are ease to use, the graphical user interface is good, and the level of detail it will bring on the board is beneficial. We will be able to visualize a wide variety of users, what are the bottlenecks, and where it's taking a long time to process.

The installation documentation and guides for users from UiPath Process Mining could be a little better.

I have been using UiPath Process Mining for approximately four years.

UiPath Process Mining is stable.

The scalability of UiPath Process Mining is good.

We have approximately 1,500 people in my company and many have access to this solution to use it.

We have five to six portfolios are using this solution.

UiPath Process Mining's support is very good.

UiPath Process Mining requires customization but with a little guidance with the documentation, we can use it.

We have 20 to 30 people that are managing this solution in our portfolios.

The licensing cost depends on the enterprise, and the discounts and offers available at the time. The price of the solution is reasonable.

I would advise others to look through the catalog of solutions available. They should try UiPath Process Mining out and see what they think of it evaluating the pros and cons. From this information, they can make their decision if it is the best fit for their use case.

I rate UiPath Process Mining an eight out of ten.

Here are two use cases: one involves a customer with an insurance domain. They had multiple underwriting claims, loss prevention, members, or teams, and they were doing manual filing of the documents or correspondence. We automated the document filing system using UiPath. We had users send the documents to a particular email box with a particular subject line. Then, we had the UiPath robot automatically read those email subject lines and automatically file into SharePoint online.

The second use case involves creating new policies in an underwriting system or renewing the older policies in the system automatically. The robot will read the Excel file in a particular structure and will create new policies or renew the existing policies in the underwriting system automatically, building on certain key business rules. The successes or exceptions will be reported to the business.

By automating the document filing system for our customer with an insurance domain, we were able to save them eight to nine years of individual-person-effort with regard to filing. We have saved them almost 1800- to 2000-person days of work.

Also, there was a team that used to key in the data for delegated underwriting authorities to create the policies or renew the policies. However, with the success rate we have achieved with UiPath, we have been able to bring down those efforts as well so that our customer can utilize that team in other valuable activities.

UiPath has a low code or development.

Also, the Orchestrator module is very effective because it allows me to schedule the jobs in a particular manner without interrupting any processes so that it can automatically handle it.

The UiPath libraries or classes in which the flows are maintained are very effective. UiPath has a very meaningful or powerful parameter-driven approach such as the flows approach. So, you can customize the flows as required, and you can use that for further business processes as well.

A rich use of libraries and reusable assets can be created in UiPath, which is quite significant.

One key aspect is how UiPath in itself can provide certain views of where an exception has occurred. If UiPath can identify where it has gone wrong and try to identify the bottleneck value, which are more machine learning in AI, it would be great.

If they can strengthen that core area as well as in the business processes side, not as a separate module but within the current RPM module itself, it will be really helpful. If they can bring AI and ML algorithms within it, it will be great.

I've been working with UiPath Process Mining for almost three years.

We have a hybrid cloud process.

If you have implemented it correctly with detailed requirements, refinement, and correct processes and standards, then it will be very stable.

Our processes are running for the last few years in a very stable manner without any major concerns or failures in production. This has increased our credibility with our customers as well regarding the stability of UiPath Process Mining.

UiPath Process Mining is scalable, but it is key that you identify the right use cases to implement STEM. If you have to convert a lot of complex manual interventions into an automated process, then things may be really difficult to scale. However, if you have a process that is very rule-driven, then it would be quite scalable. So, the scalability depends on the complexity of the business process.

We received adequate support, but sometimes the turn around time to get into a particular root cause was high. So, I would rate technical support at eight out of ten on a scale from one to ten.

Deployment is very quick in the case of RPA, and it takes less than five minutes. It's very effective.

We have certain standardized checklists, guidelines, and best practices, which we recommend all the team members go through at the start of the project. They follow STEM. Similarly, we take care of STEM during deployment checklists and then book preparation as well, so that the deployments are quite quick and easy for the release management team.

We implemented it through an in-house team.

There is a standard licensing fee, which is charged for the products, but it is very module-driven and depends on your utilization or your team size. Compared to that of other providers, the cost is average or below average. So, from a pricing perspective, it's not very high.

For example, let's say you are developing a new process that has to be a fully automated process without any manual intervention. You will then need to buy a robot, a studio, which you have to use for development, and an Orchestrator to deploy that bot. You will also need one non-production license for your test environment.

So, there will be three to four different products that you have to plug together and buy as a package, but each will have its own individual licensing cost. When you have to scale, you can scale as many licenses as you need to for development and for running the bots in production.

We evaluated Blue Prism and Automation Anywhere.

There are two key things: one is to collaborate with the right UiPath partner. The second is to identify the right toolkit that will help you to get the ROI, especially when you want quick benefits or want to build confidence with the business.

I recommend that you have all use cases backlogged and then discuss these items with the stakeholders, business process owners, and business stakeholders. Then, get everything vetted by an implementation partner. Also, discuss with UiPath if required and then implement the processes.

On a scale from one to ten, I would rate UiPath Process Mining at nine.

We use it for getting reports and uploading them to other environments.

Its Artificial Intelligence dependencies are valuable.

There should be better handling of errors or exceptions.

It is scalable. We have eight people who are using this solution.

We have a technical account manager. We write to him, and he immediately gets back to us. Their support is quite good.

I didn't previously use a different solution.

Its setup is easy. You double-click the installer and just click next, next, next. Its implementation took two weeks.

I did it myself.

I would advise checking out academy.uipath.com. There are lots of videos for educational purposes. You can watch them if you want.

I would rate it an eight out of 10. It is a good product for me.

We use it to identify and map out processes in our system then identify areas that would be good candidates for automation. You can use it to analyze your entire enterprise, including ERP, CRM, etc. It's not limited to a single workstation.

With Salesforce, you can identify individual tasks that are potentially consuming time within each process. You can see what process you want to automate and which task within a process will give you the most bang for your buck.

You can compare performance over time and see if your changes push a bottleneck downstream or what kind of results you're getting with it. Otherwise, you can use it to measure the performance increases you can introduce.

I've been using UiPath for about a year. 

UiPath's stability is excellent. 

UiPath is scalable, and it can work offline. You can build the collection separate from the process mining instance and then feed it as a series of files, log files, etc. In addition, you can limit its impact to a specific sandbox, so it can work in a secure environment that way. 

UiPath can be used as a standalone tool, or with the UiPath automation hub, it can produce documentation and even scale out by integrating with other solutions. 

Setting up UiPath is relatively complex. It potentially involves multiple business units. First, you need to set up the connectors. If you want to analyze enterprise performance, you will have to do enterprise connectors, which means you must deal with different system owners, security, and things like that. That can get complicated. 

After installation, one person could certainly maintain it, but it would depend on how many different things you're monitoring, 

If you're in a situation where UiPath will be helpful to you, then you're going to get an amazing return.

I rate UiPath 10 out of 10. It's as good or better than anything else out there I'm aware of. If you plan to implement it, I advise you to work with an experienced partner. It takes a specialized skillset with a combination of business and technical know-how to set UiPath up and to get the most out of it, you want to work with someone who knows.

We are using this solution to gather our data for business improvements and to automate tasks.

The solution counts the number of cross-sections at each step of the year which allows you to see all the data to figure out what is happening in the company. You do not need to manually collect data, it continuously updates the data. Overall the solution is easy to use and has dashboards.

The dashboard could be improved by allowing customization and they could introduce a Mac version of the solution.

In a future release, they could provide more API integration, for example, with Oracle API.

I have been using this solution for approximately six months.

In my experience, the solution is 99% stable.

I have approximately five people using this solution in my organization.

I did not have any issues with the need to contact technical support.

I have previously used Automation Anywhere and switch to this solution because it is better.

The initial setup is complicated.

The price of the solution could be lower. However, Automation Anywhere is approximately $8,000, and when comparing these solutions, UiPath Process Mining is less expensive. The license for the solution is purchased annually.

I would advise others that want to implement this solution to train their staff well in the usage of this solution. They will require more than a 10-minute training session. It is important for them to understand that this solution is for gathering data and they will require additional consultancy to create robotic processes. Automation machines themself cannot create automatic processes. Humans have to assess the process, understand the bottlenecks, and create a better one with more value-adding activities. Many people think that they have the system and everything should be done by robots now, it is not how it works.

I rate UiPath Process Mining a nine out of ten.