UiPath Process Mining Reviews

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.

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 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. 

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. 

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 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.

There are multiple use cases. For example, we have automated shipping process for the operations department, including shipping repairs, production line assembly, and line automation using attended robots. 

Using unattended bots, we have done Engineering, finance, accounts receivable, invoicing, invoice validations, and reconciliations. For sales, we have automated order management and order inquiries. We also have proactive monitoring bots for IT. So daily IT jobs are monitored, and the robot automatically takes action by triggering tickets in ServiceNow. 

Every human-dependent task has been automated and is now entirely done by a robot. Still, the people who formerly did the job are part of the process. They check if the robot is doing it right or wrong. And then, we keep on retraining the robot for any new exceptions that come up, so we are fully equipped to handle new scenarios. So this has fostered a culture change within the organization where people are coming up with ways to automate what they were spending several hours a day doing. Once these tasks are automated, they can focus more on the company's strategic initiatives. And that's a win-win for the company as well as the employees.

With UiPath in place, we are moving away from training people on the core applications, which are pretty complex. We've built a headless frontend (Touchless ERP), so it's really easy for anybody to join our company and be productive. A robot handles shipping, repair, and the assembly line instead of a human. Plus, these processes are executed with high accuraccy, removing human error from the equation. That's how we are mitigating a lot of our human-related problems.

Furthermore, the culture that we've built has helped in terms of the principle of retire, recruit or resign. So when someone quits, retires, or we need to recruit, we first determine if we can automate their job functions. The RPA governance team tries to digitize the person's tasks as well as their knowledge and experience in the organization.

The attended bots have helped a lot, and we have a leveraged concept of touch-less ERP. We can build a UI or a headless frontend, like a popup, that interacts with a human, and then the robot carries out its function. So the person doesn't need to be trained on any core applications like Oracle ERP or customer applications, which would entail additional screening responsibilities and the normal human tendency to make mistakes. 

So we have built a headless frontend that is technology agnostic. And it interacts with the end-user in a user-friendly, straightforward fashion. So it's only four or five steps, whereas it was formerly 30 or 40 steps. And that's how this way of implementing RPA has helped the customer heavily. 

Process mining is something that we are doing, but I think it needs to be more mature. UiPath is still new to process mining. They are decent in SAP ERP when it comes to process mining. But compared to Oracle's E-Business Suite and all, they are still pretty new. And they need to come up with some model templates for how to adopt process mining within your organization. For example, they could use some accelerators to help onboard customers. Right now, it's not that easy. So process mining is something that they need to improve on for Oracle ERP.

UiPath has an excellent strategic roadmap when it comes to features. So if it's not already in the works, one thing they could add is AI fabric, and if UiPath could bundle it into the primary licensing with Orchestrator, that would be great. Concerning artificial intelligence and NLP machine learning, we are getting rid of the requirement where a chatbot can integrate and synchronously interact with the robot in real-time.

The ability to listen to and reply things in real-time would be good to have. They are already doing it, but the ease of implementation and options to integrates needs to be flexible, and the license should be bundled into their current offering so that it's more cost-effective.

Another thing is UiPath's OCR we hope it has the same quality as FlexiCapture, a separate solution by ABBYY. That would be awesome if the UiPath had native OCR functions that were the same level of maturity as FlexiCapture.

I've been using UiPath for three years now.

UiPath Cloud Orchestrator and on premise bots has 100% stability in last 3 years we have faced zero Product related issues. the Platform is rock solid stable robust also upgrades have been very easy to do with zero impact on existing running processes. 

We have around 34 RPA Processes built using UiPath have a very good execution success rate of 94-96% , rest 4-6% failures/exceptions are only due to data or network issues.  

Scalability is great with UiPath. We have a distributed load for robots, so the long-running ones run on a different unattended bot while the fast-running and business-critical bots run on a dedicated VM. So that's how we have distributed the scalability. But if you want to add a new bot, it should take less than 30 minutes to host or create a new machine. And then, the deployment or deployment of the package or the code takes less than 30 seconds. So It's hardly 30 minutes. 

So about 20 attended bots are deployed. Some of them are in two or three shifts. In total, around 40 people are using attended bots, and there are only two unattended bots. So UiPath is running more than 30 processes for 30 different people. We also have around eight business analysts spread out across various departments who use this too. So you're talking about 50 plus people at least connected right now. And these are purely business analysts or  staff on the shop floor, like operators and repair technicians. But the processes that we have developed are helping around 60-plus business users that we use to do something.

So technically, with the deployment that we have done — around 24 robots—the utilization for the unattended robots is approximately 52 percent. So technically, what we have is sufficient for the next year, at least. We can develop more processes with the existing licenses that we hold. So definitely expansion-wise, we'll expand more on the process side.

UiPath technical support is excellent. They have a good knowledge base, and the support team resolves issues fast. Once you create a ticket on cloud technical support, it's pretty easy. You get an email, start communicating, and then it is solved in a day or so.   

The UiPath licensing and product teams have been beneficial. They gave us an option of a free trial where you can download it free and use it for 60 or 90 days. And that trial is extendable. So we got six months of free usage for UiPath Enterprise Edition. And that's how we were able to do things confidently. We could implement things to show to businesses and get funding. UiPath has been flexible when it comes to licensing costs, including free trials. Their e-Team comes in, helps you deploy, implement stuff, and solve technical challenges you have on the ground. 

We hadn't used any automation solutions before. It was always a human. 

Out of all the automation solutions we tried, UiPath was the easiest to install and configure. Within less than 20 minutes, you can set up a machine with the robot and make it functional. For the initial setup, if the Windows machine is ready, you only need to install and set up the robot.

UiPath also has the simplest deployment versus all the other vendors. Deployment takes less than 30 seconds. It's just a click of the button from Orchestrator, where the packages are available to download for the robot. In addition, there is an auto-download feature that automatically installs the packages remotely on several machines.

So the implementation strategy includes unattended bots in data centers, which run on their own. They are in a secure facility and are very hardened machines. They only communicate certain out-call to Orchestrator in the cloud. There are also attended bots sitting all over the warehouses and people using them on their own laptops. So implementation strategy for the attended bots isn't complex because they are overseen by daily users on their laptops and desktops. So it's deployed on those machines. Additional security and hardening will be required on the unattended bots installed on the data center level.

For implementation, we used some outside consultants to set up the governance framework for RPAs and the discovery mechanism. They also helped us identify hotspots, determine ROI, establish the recovery cost in months, and do value realization.

So after going live, they helped us look at things like cost and time savings as well as the actual recovery costs incurred in the process. They also helped evaluate the solution in terms of automatability index, productivity, efficiency, and quality. So, we analyzed all of these factors, which helped to prioritize the processes selected. We did all of this first and then converted everything into a factory model. What we call the digital factory team is responsible for development. And then, the governance and architecture teams orchestrate the development by going out there and doing task mining and process mining. For maintenance, we have five or six people for 32 processes.

Level of expertise with SI which is LTI is excellent

We have an Novigo automation framework that helps us to calculate ROI from UiPath. It calculates ROI based on the time a human would take to perform the task manually versus the time needed for a bot to do it. Then the hours are converted into dollars. Finally, we can get the cost per transaction per hour per dollar spent per record. That helps you calculate an accurate ROI when identifying RPA case, and we can see the value realized every month. We calculate the amount of records and hours saved through automation and convert that into a dollar amount per process. That's how we have been able to do a very accurate value realization based on the number of transactions processed by the robot.

The license is around $40,000 yearly. Technically, that's the lease price. But UiPath told us to go through our distributor, and by doing so, we've saved at least 50 percent of the costs. So it's now around $24,000. That is pretty cheap compared to Blue Prism or any other vendor out there that offers a combination of the same features. 

You do need to purchase an additional license to get Insight licenses. We were the beta testers of UiPath's Insight application, which is purely on the analytics side. A lighter version of insights should be embedded into Orchestrator itself inside the standard offering of the UI without the extra license costs. So that way, we could track the number of processes, exceptions, success rate, and calculations in a single platform without buying any additional licenses. 

Automation Anywhere, Blue Prism, WinAutomation, and UiPath were four we considered. We used Novigo Automation Framework Reports to test and evaluate each solution to see which one best suits our requirements. That's how we chose UiPath over the rest. It included deep-dive reports from Gartner, Forrester, Nelson Hall, and many other third-party analysts. These reports featured a highly detailed heat map as well as information about the cost-effectiveness of the deployment model, the development roadmap, and the maturity of the product.  So that helped us to easily compare UiPath to the others.

I rate UiPath nine out of 10 because it's easy to develop, manage, and maintain. That's what sets it apart from Automation Anywhere, Blue Prism, or Power Automate. It's a simple drag-and-drop interface, which allows for low code automation development. And that makes it pretty much different from other options that we have. For example, developing basic automation can take few hours in UiPath versus a few days in Automation Anywhere. Implementation-wise, this is a pretty easy model when it comes to having a cloud orchestrator versus on-premise. Going on the cloud has reduced the burden of needing dedicated administrators to manage and maintain the platform. Minimal administration is required to manage and maintain Orchestrator in the cloud.

So that's the fastest way to onboard UiPath. But there is a lot of groundwork on the governance piece. So before even investing in UiPath or any other RPA platform, you need a solid governance framework and a foundation that will help you do the correct automation at the right time. Versus just doing anything using the tool. The tool is designed to do all types of automation but they need to be beneficial for the organization with good ROI and value realization.