UiPath Process Mining Reviews

I'm using UiPath Process Mining for research and development. I belong to an IT company with many market leaders as clients who belong to the manufacturing industry. I wanted to look into processes you can automate for each service area. I wanted to explore and see which area may be a pain, and I use UiPath Process Mining for that purpose.

The best feature of UiPath Process Mining, compared to a process discovery tool or mining tool I forgot the name of, is that UiPath Process Mining supplies more details about your current workflow and how it influences the business, including what's the delay or roadblock.

The other tool doesn't give you detailed information, so UiPath Process Mining has a significant advantage.

What needs improvement in UiPath Process Mining is manual delay support. For example, I have a pending workflow, and I've not taken action in the last five or ten days, and because of this, the whole process gets delayed, but UiPath Process Mining doesn't provide any manual delay insights. It gives about seventy to seventy-five percent detail on end-to-end process delays, the scope of automation, or the gap, but not about the manual delay, so what would make the solution better is if it communicates manual delay information.

Every business process relies on human activity, with either approval or review, so UiPath Process Mining should capture that area and provide a workflow or diagram that shows more details, such as the impact of the delay, the workflow time without the human delay, etc. That could be too difficult, but it's what I'm expecting as a customer. More automation in UiPath Process Mining would be great.

I've been using UiPath Process Mining since the preview period last year, August.

UiPath Process Mining has become more stable in its latest release, but in terms of ability or what it can do, there's still a lot of room for improvement.

I haven't tried scaling UiPath Process Mining, so I cannot comment on its scalability.

As there's good documentation in the UiPath academy, I didn't need to contact the technical support for UiPath Process Mining. The available documentation helped me a lot.

As UiPath Process Mining is a lightweight tool, its configuration is simple. It's an excellent tool to work with, specifically on the cloud provided by UiPath.

Complete deployment of UiPath Process Mining would take six to eight months.

You can get ROI from UiPath Process Mining because it offers good value for your money.

UiPath Process Mining has different licensing types for users, developers, end-users, or designers. I don't have the figures, price-wise, but because my company is a UiPath partner, there's some discount offered when you buy in bulk. UiPath provides a good deal if you're a bulk user.

UiPath Process Mining gives you value for money compared to some of its competitors in the market.

I'm using UiPath solutions end-to-end, so UiPath Process Mining, UiPath Task Mining, Automation Hub, and UiPath Studio.

I don't remember which version of UiPath Process Mining I'm currently using.

UiPath Process Mining is a hybrid architecture. The software is installed on my private cloud, and the data and analysis go on the public cloud. It's on the UiPath Cloud.

The number of users of UiPath Process Mining depends on the number of clients, so I don't have this figure.

My rating for UiPath Process Mining is a six out of ten because it still needs much improvement in scope. On the other hand, my rating for UiPath overall is eight because it's stable and a market leader. UiPath Process Mining is just a tiny part of UiPath.

I used the solution for one of our pharmaceutical clients based in Japan. It was a typical process mining project. They gave us their data, and we fed the data to UiPath. We then prepared dashboards and provided the clients with valuable insights, like the bottleneck for the process and where they could save money.

Our clients were quite shocked at the issues in their processes. They realized that there was a lot of time consumption on approvals. They were very happy with the outcome of the project. They decided to make the changes and observe whether they saw any benefits. If they see any benefits, they will implement it as a live project. It was a typical process mining project.

We use both BasicConnector and AppOne features. We dump our data in the server data and create files in it. In BasicConnector, we do the necessary transformations. In AppOne, we prepare the dashboard based on the best way to represent it.

UiPath has an in-built feature that calculates rework. In most cases, this calculation by UiPath is wrong. UiPath intelligence does not consider that the definition of rework varies for every process and firm. It just considers the normal definition that if a step is repeated twice, it will be a rework. Sometimes, repetition might be necessary for the process.

When we understood the issue was with UiPath intelligence, we deleted it and created our own single-value KPI for rework. The intelligence KPIs offered by the solution are not up to the mark. I don't know if this feature was changed. I am not sure about the current situation.

I have been using the solution for almost a year.

We haven't had any downtime. The product was highly stable, and the data flow was very smooth. It was very fast, too. Even though we were working on virtual machines, the solution was very smooth and fast. I rate its performance a ten out of ten.

The technical support is amazing. If I'm stuck anywhere, I can get the solution within 24 hours. I can totally rely on UiPath's support team.

Positive

We access everything through our Superadmin access. We use the SaaS version. The initial setup is quite easy. It's just a URL. You can contact the vendor and get the credentials. It's very straightforward. It's just like logging into a portal. It's as easy as that. We just have to enter our username and password and start working.

Two business value architects and two data engineers, including me, worked on the solution. All four of us had Superadmin access. We shared the business view link with the clients.

Celonis is a market leader. Celonis does not offer anything outside process mining. If I have identified a bottleneck that can be solved through automation, I cannot do that using Celonis even if I know how to do the automation. I would have to rely on another RPA tool. If I use UiPath, it will be an end-to-end solution for me. If a bottleneck can be solved through automation, I can use UiPath RPA to implement the automation.

The product is very compatible with other UiPath tools. It is the biggest pro. In process mining, the main objective is to determine and identify automation possibilities because we can save money only by doing automation. UiPath RPA is one of the best RPA tools in the market. Getting all these features with one license is beneficial for the people who license the solution and the developers.

I worked as a functional guide and data engineer for our client. The client's team was not sure about what they were lacking. Every process has some bottlenecks, variations, and inefficiencies. The client wanted to understand the flaws in their processes and streamline them. We also helped them understand how they can save money by streamlining the process through automation capabilities.

It's not cheap to implement process mining. We suggested to our clients that they could automate certain processes, but we did not implement them. We only gave them suggestions. We told them about the projected savings they could achieve if they implemented them according to our recommendations. It was a POC. The clients didn't know the concept of process mining. They were just exploring what process mining generally offers and whether it would be wise to implement process mining in all their processes. At the core, it was a typical incident management process. Most of their processes were very closely related to ITSM. They might have other processes like supply chain management and order to cash, but we were not exposed to those processes.

If someone has enough budget, they should choose Celonis because UiPath's process mining is not up to the mark. It's a bit difficult to get data in UiPath. When I used UiPath, there were no connectors to extract data from databases or data warehouses. We were using Databricks. We had to extract data from Databricks in Excel file format manually. Then, we dumped the data into UiPath's server. There are better tools when it comes to process mining. However, if we use UiPath RPA along with UiPath Process Mining, it could be used to its full potential. If someone is not using UiPath RPA, they should choose a different process mining tool.

The end-to-end visibility offered by the Process Mining dashboards was good. Whatever we were trying to build was quite straightforward. If we are comfortable with HTML, then it is quite straightforward. If we are uncomfortable with HTML, we'll face some initial hiccups. However, we will get a hang of it eventually. It won't be a huge roadblock. I have used other process mining and visualization tools. Initially, it was a bit difficult for me.

If we are using UiPath Process Mining in addition to AI Fabric and UiPath RPA, it will deliver the most value. UiPath Process Mining is not a good standalone solution. It is a good solution when we use the whole package. Data visualization tools like Power BI, Tableau, Celonis, and Signavio have drag-and-drop facilities. We just have to mark our dimensions, and the dashboard is complete. In UiPath, we have to do everything by ourselves. We will have to write proper HTML codes. There is a positive aspect to it, too. UiPath allows users to do white labeling. It is a unique feature of the tool. No other product allows users to put a client's logo or change the color scheme.

The ability of the product to remove bottlenecks from a wide range of processes depends on how we mine the processes. It depends on the dashboards we prepare and the analysis we build. It totally depends on the capability of a business value architect. As a data engineer, it doesn't matter to me which tool I'm using. I just do the transformation. It is up to the business value architect and how they derive information from the visualized data to deduce the business cases, values, and bottlenecks. At its core, every data visualization tool is the same.

The overall transparency offered by the solution in our end-to-end processes was great. It was a new experience for us. We also got continuous support from the product's technical team. UiPath generally offers the UiPath Forum. The process mining tool was new last year. Certain questions were not posted on the forum. So we had to read all the documents. Most solutions are available in the documents. We can raise a ticket in the support portal when we face issues. The support team is very helpful. The team helped us with everything, so the project went smoothly.

We didn't integrate the tool with anything. We just dumped the data in the form of flat files. We did all the transformations in SQL Server before dumping the data. Before we feed to our visualization tool, we need to do a basic transformation like handling duplicates. All the other process mining solutions provide users with a space to do the transformation. However, UiPath does not give us that liberty. We must have the final files to start process mining in UiPath. It is a big disadvantage. To overcome this, we must put additional cost for another transformation space like SQL Server.

The project went on for almost two months. There were many hiccups, and the client was new to UiPath Process Mining. In the end, it went smoothly. It took some time because it was a new experience for all of us. The documentation was very helpful. The support team and the people training us in the product were also very helpful. They helped us with all our doubts.

Someone who thinks that streamlining processes with automation is not cost-effective might be someone who doesn't know how processes work. Streamlining processes is the best thing we can do with the processes. Otherwise, we will lose money and won't even notice. We'll just be frustrated and wonder where we are losing the money. We won't earn anything. Every time we receive a project, we focus more on automation because it helps us save money and resources and reduces the risk of human error.

If the process is a standard ERP process, like O2C, AP, AR, or P2P, there are live data connections in UiPath. However, we still cannot do transformations. We must look for a different tool for transformation. People considering using the solution must have some knowledge of HTML and JSON. Certain things do not make sense in UiPath, like the data flow between the backend and frontend. It does not make any sense, and we won't be able to figure it out by looking at the tool. We'll definitely need someone's guidance. If someone is working on traditional process mining tools, UiPath could seem different to them.

All in all, it is a great solution. Every product has some drawbacks. If someone is looking for a full end-to-end solution that includes automation, they should use UiPath. Otherwise, there are better tools in the market.

Overall, I rate the solution an eight and a half out of ten.

This solution can be used for all finance processes. It helps us identify inefficiencies and to see where automation can be useful in processing. I'm managing executive client coverage.

This solution has improved our efficiency.

All of the features are very helpful. This is clearly a mature project product. When it comes to process mining, it has a very strong suite with all the features in terms of being able to read data from various systems and have them analyzed according to certain parameters.

I'm not involved in finance but I know this is an expensive solution. It would be helpful if licensing costs were reduced. 

I've been using this solution for about two years. 

Once it's set up correctly, this is a stable solution. 

The solution is scalable. We currently have several users but are likely to increase that in the future. 

Customer support is very efficient, knowledgeable and helpful.

The initial setup is straightforward and took a couple of days. I worked with our SQL engineers and we were able to deploy in-house. 

We've seen a return in terms of efficiency. 

Licensing costs are expensive. 

It's important to follow the instructions very carefully in terms of the installation. If the solution isn't set up correctly, it won't be stable. 

I recommend this solution and rate it eight out of 10. 

I am a project manager and have been working on projects for UiPath with some of their clients. I was using the most recent version with our internal developers. The project was managed using Azure DevOps.

The teams I worked with would average between four and seven team members. It requires a couple of developers, a BA, a project manager and a scrum master.

UiPath is used for a variety of purposes such as, invoicing, automating, scanning documents, data collection, and data driven type of applications. There are more than one use case depending on what the client was trying to accomplish through automation. They were automating repetitive steps. We had commercial uses, government uses, financial services and investing uses. 

The features of UiPath that I find most valuable was working with Abbyy scanning. We created some unique ways to work around any document that couldn't be scanned. It was very flexible. Whatever bug that was produced during use test cases, user acceptance testing, was very flexible. We did not find anything that could not be fixed. There was always a workaround or a way to create another process that could be automated.

Flexibility and the adaptability are very good with UiPath.

UiPath is always upgrading and fixing their product.

For me, the only improvement needed is how to manage the actual project. This does not have anything to do with the solution itself, it's about managing customer's expectations.

UiPath could improve on how it works with the project management process and flow. 

I would like to see UiPath add an RPA that handles project management. I would  like to see the solution do as much as possible. There are so many turning wheels on a project that is complex.

My company has been working with UiPath for about a year.

The solution itself is stable. The challenging part is the developers themselves. It's still a new industry. People are still learning and sometimes people miss things.

There are no problems with the solution scaling.

UiPath's technical support is very responsive. The customer service desk is really good. I was impressed with how fast and capable they were.

The initial setup depends on the project. The deployment goes from simple to complex. I have taken a few courses, so the setup is very easy.

We require a couple of people for deployment  and maintenance of the solution.

The product is affordable. It depends on if you are looking for some capabilities from time to time. 

My advice to anyone looking to implement UiPath in their organization would be to really take a look at what processes do the organization have that are highly repetitive and manual and  provide value. 

This application is best for high value projects or high value initiatives. Automating something that doesn't matter is not worth it. Take a really hard look at the ROI of what you want to automate and see if it  makes sense, and focus on  the ones that generate the most ROI and value. 

UiPath will handle the rest and do a very good job.

I would rate UiPath a 10 out of 10. Where the industry is at right  now, there is plenty of growth. Everyone is trying to better, but where we are at right now, UiPath is at the top. Having seen UiPath work on projects, the flexibility that it allows developers to fix bugs among other things, makes it a 10.

We did some POCs and we did some implementations.

We used the solution for incident management with ServiceNow.

We were able to find a lot of bottlenecks and have been able to automate a few tasks with UiPath. We are looking for inefficiencies suitable for automation.

For example, we have some supply chain use cases and can automate some procurement tasks.

It's been a game changer for our organization. Having to remove manual processes has optimized areas. Slowly and gradually, there have been very marked improvements in processes overall.

The conformance capability is very good. We can find which processes are compliant or non-compliant.

We like the root cause analysis and we can use it to take a deep dive into the tasks.

The process explorer is quite useful in differentiation and looking at multiple variants. We can drill down with good granularity.

Benchmarking is very good. If I have processes for accounts receivable, I can set the benchmarks and look at the accounts and look at projections based on currency, country, et cetera.

It's great for streamlining processes. You must have an understanding of the domain, for example, if it is in the financial realm. If you do, it is easy. The solution can help you set up processes. You just need to come in with the right insights.

The end-to-end visibility of the process mining dashboard is quite good. There are not many areas that are not visible. We can see everything, and we can customize our KPIs as needed, which helps. It helps us build on a more granular level. If we have a good domain that has a nice process with frequent execution and lots of data created, we can visualize everything and find hidden issues to further refine our processes.

We can turn raw into actionable data. We only need the activity to start our work and analysis. It's very plug-and-play as well. Everything has its own connector. We can connect our tool to SAP or Oracle, et cetera. Data is not obstructed. It can be consumed by the tool or the application itself.

We're able to remove bottlenecks from all kinds of processes. If I have a high level of activity, I can easily automate it. I can send notifications or reminders so that bottlenecks fall away.

Its overall transparency has been great for our end-to-end processes. We can easily visualize everything both for the technical team and business users. We can customize dashboards, for example, for business users. Everyone can see their area easily and understand what is going on at all times.

The solution integrates well with other systems and applications. However, it does depend on the data and where I am grabbing the data. It integrates well with ServiceNow using an API. We can also transform the data.

It empowers employee decision-making. It helps them locate bottlenecks and remediate items. The automation can be done by the business user. They don't need a technical person to come in and make a fix. Everyone is working on streamlining the process.

It's helped free up staff time for other projects. Initially, it's been 15% to 20%. Over time, we're hoping it will be 40%.

It has reduced our total cost of ownership. I'm not sure of the exact number around that, however.

Using the solution with the finance and logistics domains. These are areas that could have a very good impact.

We still need to explore how to integrate the solution into various domains. It looks promising across the board. 

The initial setup can be complex. 

I've used the solution for a year and a half. 

The solution has been stable so far. 

We have the solution deployed across multiple locations and have 1200 end users. 

We can scale the solution at any point in time. 

We have used technical support on the data side. If we, for example, have a job that doesn't run in time, we'd reach out as required. We help our clients troubleshoot as needed as well. 

Positive

I used Celonis for process mining based on the complexity or behavior of the use case. 

We've also previously used Excel as a way to manage processes. 

I was involved in the deployment. It is a bit complex. 

The number of people required for the deployment varies, depending on the size. Typically, we need five to six people. 

The solution requires maintenance. We have two people that are maintaining it. 

We provide implementation services to customers. We also work as consultants. 

We have definitely seen an ROI. There are multiple partners working in process mining. The competition is very high and it's helped a lot.

It took us about six months to achieve time to value.  

The pricing is decent. 

We did not look at other options before choosing this solution. 

Streamlining processes with automation is cost-effective. However, it is not for those looking to achieve a short-term goal. This is a long-term play. If you invest some time with the tool, you'll receive a very good ROI. There's so much data, it takes a while to really see the value. 

I'd rate the solution seven out of ten. 

I'd advise new users to understand the process first. Do a lot of brainstorming and understand each and every aspect of the business. It will help with building out. I'd also advise doing a POC first to see if you are going down the right path or not. 

We are a UiPath partner and we work for manufacturing companies. There are a lot of processes out there with deviations. The Process Mining tool will let us know the exact deviation. Once we find the potential for a bot, we will do process automation using UiPath.

Wherever we find processes that are having problems, we run this tool to see where the bottlenecks are and where, exactly, Process Mining can help us.

Many of the manual processes within manufacturing take a lot of time. We leverage Process Mining and UiPath so that decision-making will be done quickly by robots.

Its ability to help empower employee decision-making is a four out of five. It provides a graphical representation. Whenever there is a bottleneck, a deviation in the process, we can easily see it on the dashboard.

The solution has also helped free up people's time for other projects. It depends on the use case, but the time it has saved me is around 20 percent.

And it has helped reduce our total cost of ownership.

Once you understand the flow, using Process Mining to streamline processes is easy. It has drag-and-drop abilities that make it very easy to operate.

The transparency offered by Process Mining into end-to-end processes is a four out of five.

Within UiPath, AI Fabric is a valuable feature, but Process Mining can be further improved with AI. AI is booming. Once they improve the AI capabilities, more and more customers will come to UiPath. There are a lot of tools with AI capabilities.

I have been working with UiPath for almost five years.

The stability is improving. When we were using it four or five years back, it was not mature enough, but now it's becoming smoother. The stability is an eight out of 10.

It is scalable.

For technical support there are a lot of forums, and there is also the UiPath Academy. There is also the actual support.

Positive

I did not use another solution previously.

The initial setup is very simple when you compare it with other tools like Celonis or IBM Process Mining. We require proper licenses, but the tool is a plug-in.

It can take time to realize the benefits of the solution. The minimum is two years.

The price depends on the number of bots you take. There are a lot of open-source tools that are free. When you go for UiPath, it will cost more. But if you compare it with Blue Prism, that solution is more secure and more costly. UiPath is average in terms of price.

My advice is to get used to the product first. Install the free version and play with the tool and the data. Then things will go smoothly.

Every process has its own ups and downs. We identify the correct processes, and sometimes it is feasible and sometimes it is not feasible to automate them. This is a new technology, and when you use any new technology, there will be limits. Overall, it's a very good tool, and we have improved our revenue with it because a lot of manual tasks have been eliminated.

We use this solution to get deeper insights into the process and to see if there are any opportunities on how we can improve the processes. In most of the cases,  Process Mining would actually throw out analysis or insights which are already known to the users, but in some cases it would be more granular and backed with data. 

Those database-backed insights are very valuable for the business partners or the operations teams. It allows them to make decisions about how they can improve their process, like whether there's any process changes or technology changes required. Do they need to change the workflow systems or the technology assets which they currently use? Is there a better way they can perform the work or is there any scope of automation? Are there any compliance issues which wouldn't have been visible to a human eye just by viewing the process or the reporting?

For process mining, we understand some of the hypotheses they have, like what is that they want to understand? Are they looking to gain insights around how their teams are performing? I think you gain value about how the process is overall behaving. Is there any kind of rework or are they looking at automating or redesigning their own process?

This is a hybrid solution.

One of the reasons we have gone with UiPath is because it was a business decision and because our company subscribes to the UiPath automation suite, which includes RPA, etc. We thought it would be efficient to keep everything on the same platform. 

The cost was the other part of it because we compared it to Celonis. We are using UiPath mostly for strategic reasons. It was easy for us to get onboarded with Process Mining rather than setting up a whole new infrastructure for a different tool.

We faced issues with the data sharding process. UiPath has its own limitations in terms of the number of rules of data it can actually handle at a given point of time. As a tactical step, they provided the data sharding approach, but that was not the best. It kind of complicated the analysis rather than making it easy for people to analyze large data sets. So, the handling of large data sets is a major problem we want them to improve.

I think they can improve their overall feature set around the visualizations, which they can provide out-of-the-box. Some of these visualizations are not already there. 

Finally, it is about the ETL process. I think the ETL process could have been much simpler compared to what we do right now, which consumes a lot of time. If I talk about a typical project life cycle, I would spend about 30% of the time getting the data into the system, which is obviously not ideal compared to some of the other tools we have in the market.

Their ability to create out-of-box integrations and solve for the ETL problems could be an improvement, and their ability to help us scale and do parallel processing when handling large data sets. They could also improve their overall look and feel on how the analytics will show up on the tool. They just do the job, but when I'm showing an analysis to a very senior leader, I would obviously want that to look better than how it does now. I'm not sure what the product roadmap looks like right now, but I'm sure they would have something on the product roadmap. If these are not already a part of the product roadmap to improve the product, then I think they would be missing the bus.

I have been using this solution for seven and a half years.

It's stable. We haven't seen any issues.

We haven't seen any issues with scalability. The problem is with the handling of large data sets. If you're using smaller data sets, then I think it's good enough to manage parallel activities. But if I am working on a project with a large data set, that's where we would run into problems where the other projects would have to be stored or they cannot be run parallel. It's scalable, but they would need to solve for handling their data sets internally to allow parallel processing.

From a traditional process mining, they allow for everything a process mining or platform would need to give. But if we're talking about using this for other purposes like execution management, getting more automated data feeds, etc., I think that's where it would probably have a problem. When we're dealing with process mining, especially in a banking organization where we are dealing with millions of rows of data at a time, I think that's where we would probably want them to be able to scale or allow us to scale much faster on that.

I would rate the scalability 3 out of 5.

We have a full subscription for technical support. We have on-demand support at all times.

It's reasonable. It provides you with all the basic features that somebody would expect. If those basic features are what you're looking for, I think UiPath is reasonably priced compared to some of the other tools.

We compared the solution to Celonis. Celonis provides you with more out-of-the-box functionalities and drag-and-drop features which are user-friendly, and it has a very powerful execution management system, but that is something we weren't looking at because we wanted to familiarize the audience with what Process Mining can do before we moved to execution.

I would rate this solution 5 out of 10.

It's good for doing traditional analysis, but if we have to do more, I think that's where they would lag behind their competitors.

I use the solution as a POC in the automotive and financial industries. I use it as an RPA for process mining.

We did two POCs. The first was about repairing vehicles. The second was in a bank environment. That was related to having different branches being able to check customers.

So far, the solution has been effective in helping us automate and streamline. In the case of the financial POC, it helped with sharing and gathering documentation.

The process learning feature inside the wider suite is helpful. It helps with integrating and using, for example, AI features related to process mining. It helps customers expand their digital transformation journey.

The personal learning tools are good.

It's good as a tool to help streamline processes. In one of our POCs, we were able to illustrate to the client how easy the product was to work with. We obtained this goal.

End-to-end visibility is achieved through dashboards. They provide templates. You can personalize those templates and create dashboards with your own views to help maintain visibility. Other products do offer out-of-the-box views that are pretty standard.

UiPath can help remove bottlenecks in a wide range of processes. We can go in and analyze. UiPath can guide us during that process and help us observe issues in an easier way. It has a specific view where you can put features side by side for activity, duration, and frequency to see what can move faster.

The solution has task management capabilities. The product is inside a bigger suite that can do more things. There's task management, for example. There's, of course, process mining analysis. After that, there's the ability to build RPA. The bigger picture would be to have these three factions integrated. However, we've started with process mining. 

It's not very easy to turn raw data into actionable information. You have to prepare your data before uploading. In the pn-premises version, it would often take four hours to prepare a configuration for a single process. Today, you can do that faster. However, you have to create files with various templates - and you have to use specific formats. It all has to be extremely specific, right down to specific log names and column orders. It's a constraint.

The end-to-end visibility could be made more clear. I can't see a specific view frequency or activity frequency.

Performance checking could be improved. I'm not sure if this is due to the fact that they are gradually migrating old features from on-premises to the new cloud version. 

I started using the cloud version of the solution four months ago.

I've never noticed any stability issues. 

I've never attempted to scale the solution. 

I haven't really dealt with support other than to ask about alert modules or the availability of specific alerts. That said, general support was very quick to answer and clear in their response.

I'm also familiar with IBM Process Mining and that tool is easier to use from a technical perspective. It's easier to create processes and upload logs via the UI faster. 

I'm not directly involved in the deployment process. I'm on the cloud version, I'm not sure if much maintenance is needed. 

I haven't attempted to integrate the solution with other products just yet. I'm only using it and uploading it manually. I'm interested in integrating in the future. We're still in the POC phase. Generally speaking, one of its biggest advantages is the possibility of integration with features within the greater ecosystem.

The product overall is good. It has enough views for analyzing processes, yet there are still no distinctive capabilities or features to pay attention to. That's just in relation to my own personal processes at this time. 

In the end, streamlining processes with automation will be cost-effective. A big part of our work is to help the client understand the processes and to show them, if they are working in the wrong way, how they can fix it and save money. By improving processes, customers ultimately will cut costs. You have to sync and streamline before you throw money in.

I'd advise people to be careful about the input of data. Sometimes, specific forms or structures are needed.

I'd rate the solution seven out of ten.