WorkFusion alternatives and competitors

We typically solve for any use cases that falls under different business functions within our company. That includes finance, supply chains, services, IT by itself, and a little bit of engineering.

UiPath has improved the way our organization functions. The flexibility with which the business processes get changed is great.

A lot of times we know the method of operation, however, certainly it'll not be the same after a few months, a few years, or longer. Our dependent script or whatever is in place (that is dependent on that business process) has to be adjusted. The flexibility with this tool has enabled us to adjust those workflows quickly and deploy them so that our business can continue using those applications or the workflows that we’ve been using before, even after changes to the underlying system.

The most valuable aspect has been the workflows. They have helped to deal with legacy applications. We have a lot of legacy applications in place, which we cannot get rid of. The processes around these legacy applications are something that cannot be automated in a typical way. The RPA is helping us to automate the business processes that have to work with legacy applications.

The ease of building automation using the solution is great as it is a low-code solution.

I'm able to create workflows. By the time I'm familiar with one process, I'll be able to automate the next one. This is the case especially with tools like task capture; I'm just working through the process. In the end, it will be a skeleton workflow and it can be used for deployment once we are done with the cleaning. It has reduced the development life cycle by about 30%. It’s done this by making use of the features that are enabled by task capture and certain other features within the Studio.

Overall, we’ve seen the solution has saved costs. That is our value realization.

Our first target metric is to bring up the number of processes that we can save. We have a formula to convert inter-dollar values in terms of the user experience we are benefitting from. That’s the user experience that is enabled by automation. Those are direct savings which can be calculated by multiplying the number of dollars that we have spent for one resource per hour. Indirect monetary benefits can also be calculated by looking into the user experience factors and adding them when we do the value realization. In the last four years, we would've saved $3 million.

The human error rate has been reduced. Initially, when we targeted some of the business use cases, they were straightforward. They were linear in nature and there the accuracy had the upper hand 99.9% of the time. The reason is that the process by itself is quite linear. It doesn't have multiple branches or exceptional routes that it has to take to complete a particular transaction. We have good accuracy, however, we have had challenges with the accuracy when the business processes get complex. If there is any human intervention or if the quality of the data is not proper, or if the user errors are low, that is where the accuracy rate used to be low. It's better now.

Due to the fact that all these are role-based bots, if there is something that is getting changed, the bot will fail. Down the line, I can see that, for linear processes, accuracy will be great. However, when it comes to some of the complex processes, that is where we have challenges that we are facing with accuracy and we are continuously fine-tuning the process in such a way so that the accuracy can get better. It's great we can continuously tweak.

The solution does free up employee time and allows for the employees to focus on higher-value work. We have a lot of examples within our organizations where they have to deal with some kind of manually intensive task, such as just reading something from the document and putting that into the financial system.

We normally take up the customization portion that comes directly from customers. Those kinds of customizations have to be updated back into the financial system in order to make sure that they are appropriate. These updates take a while as they have to do with talking to the customer, understanding what changes are needed for a given order, or based on specific correspondence from the customers. With automation, employees can focus on talking to the customer to understand what changes they have to incorporate. And they can offload all the data entry tasks to a robot. This way, they can focus on how they can engage more with users to understand the pain points faced by the customer rather than spending time taking all those inputs and then doing the data entry job. They can be more client-facing.

I’m not sure exactly how much time is saved with automation. I could say that we have around 150 purchase processes that we have automated. We don't trace back how it has replaced a team or member of a team. We always go with the number of hours saved. We go the route of checking and saying “okay, so we have done this, but it needs a constant involvement from them in order to make sure that someone is owning the process.” We still own only the work.

We have started to use the solution's AI functionality in our automation. We started it recently and we have finished the proof of concept on document understanding, which involves AI, of course.

In terms of AI automation, we will be leveraging this tool for all business functions. There is no limit with any of the business folk that we talk to. Whatever the process is, as long as we feel that it is feasible to automate, and there is a value in automating it,  or as long as we feel that we are automating the right processes, we will just take that up into our pipeline.

AI does help us handle complex and involved processes. We include a lot of use cases where the sole core RPA capability would not suffice as a purely role-based automation. We often encounter a lot of use cases where they say, "Hey, this is something where there is no logic in doing it." If there’s analysis or natural language processing, et cetera, we are making use of AI. However, the process isn’t in use yet. We’re just starting.

We have used UiPath’s Academy courses and we are also encouraging our implementation partners to refer to those materials so that they can be approved.

It’s kept us up to speed with the solution. We refer to the Academy daily. Of course, we get help from UiPath whenever we face any hiccups; we normally ask them questions and they're able to sort it out for us. That said, the materials are great for trying to sort out issues or problems on our own.

It's been four years of practice and we've matured with the traditional RPA candidates. We have a strong foundation with what we have showcased to our business folks, and we are good with the healthy background that we are building. However, when it comes to the roadmap of what's next, that is where we are not clear. While we get the concepts, bringing them to reality is looking to be quite a challenge. We are unsure as to if UiPath can actually bring our vision to life.

UiPath is very clear in defining items such as this is what the high automation needs, this is what the process planning needs. We are getting clarity into those concepts and we are able to explain that and take that back into leadership to get other approvals. They are able to understand what UiPath is talking about within these different concepts. Really, it's just figuring out whether we have the right arrangement at this point and if UiPath can get us there.

I've been using the solution for four years.

I'm impressed with the version that we have today. 2019.10 is a version that is quite stable, compared to how we did with 2018. A lot of pieces that are enabled as part of the new version, 2019, are stabilized. We have zero downtime with the tool.

Today, ith X number of bots, if we want to reuse the same solution, and if there is an appetite for consuming those kinds of robotic solutions, of course, buying more bots is going to solve the problem.

If you think in terms of scaling this platform by itself or the other business functions, that is where the discovery piece will come into play. We have to constantly talk to businesses to understand where the opportunities are to scale in the correct manner.

Scalability is possible in terms of reusing existing automations. It's related to the number of bots that we are going to purchase. When it comes to the number of business processes that we are automating, during the discovery process, twe have to engage with our customers and constantly follow up with them. When we understand more about how they're doing business, we're able to locate the kinds of tools that are going to help them.

Currently, we have eight bots in production and 150 processes are automated. I’m not sure how many users are actually on UiPath currently.

We always follow up with our business to build our pipeline. That goes hand in hand with the implementation. We off-load all automation ideas and requirements to the pipeline, to our implementation partners, so that they will be able to implement our vision.

Traditional support for the RPA is great. In terms of the help that we are getting, if we end up with some issues, running operational issues, it could be better if they can propose some fixes. It's not that automation is going to solve every other problem that the underlying system is having. However, we expect some kind of expertise from the tech support when we face issues that are related to the system. We need to understand if there's an ERP error, if it has to do with the underlying system, or if automation has to solve the issue. Often, technical support will say "Okay, so this is your error, go and solve it." Yet, due to the fact that support has seen more issues like this, they should have more insights and they need to be able to share those inputs in a way that is going to help us.

While I didn't use a different solution previously, the finance team has used Blue Prism before. They implemented Blue Prism and they engaged Blue Prism to automate the processes that they have added for automation. Now, we have aligned on a single platform. It is UiPath now, however, they initially had around 50 processes that they automated using Blue Prism.

We proposed UiPath as the one solution based on Gartner ratings.

The initial setup was quite straightforward as we understand how RPA works and we understand how UiPath is going to help, how UiPath is a tool to help us to automate things. It's quite straightforward in terms of that. Whenever we are doing some kind of initiative, like document understanding or data capture, it is quite straightforward.

However, with process planning, we didn't understand the documentation right away. That is where we used to get help from UiPath.

The pricing was great at the start, and so, down the line, we have been enhancing all these features. We are seeing that, as we are looking for opportunities to grow, the number of robots that we need to purchase and the software cost is going to go up.

UiPath has increased the cost. We feel that it's good, however, based on all the new features, which we are pursuing. That said, we expect that whatever robots that we have purchased or whatever the standard platform that we have from UiPath should continue with the pricing that they had earlier.

There will be an offset, however, when it comes to the existing platform like Orchestrator or robots, and we are expecting that the margin should be less.

Back in 2017, we evaluated three to four products. Blue Prism was already used by the finance team, however, we evaluated WorkFusion, UiPath, and Automation Anywhere.

Of those other three, we evaluated WorkFusion and UiPath extensively.

The two reasons that we went with UiPath were, one, the learning curve, and, two, the community edition of UiPath, which had everything we needed to dig into the solution. Whereas with the other companies, there wasn't that option. With Blue Prism, for example, we had to buy a license in order to check whether the tool was going to work for us. In 2017, we were not sure whether this was going to work or not. At that stage, UiPath was the only company that gave us the entire set of tools to try and it worked really well.

We are customers and end-users.

While we're using the on-premises deployment, we are open to moving to the cloud. There are a lot of cloud solutions that we already use in our organization. However, with UiPath, we have stayed on-prem out of concern for security. We don't have clarity on if a cloud solution is going to work securely.

The other concern is around how we are augmenting the capabilities of core RPA. We know that process mining is going to help us, however, whether process mining is already added into the RPA, do we have any solid use cases that we can start with.

I'd rate the solution at an eight out of ten.

Our use cases are account receivables and account payable. In insurance, our use cases are for vetting beneficiaries, upgrading client portfolios, and updating customer's policies.

The entire tool is valuable because it is an enterprise tool. It is on par with other tools like Automation Anywhere or UiPath with the OCR/ICR facilities, analytics, and the entire package for enterprise-level security. It has the highest level of security as compared to any other tool. 

There are a lot of things coming up, such as Discovery Bot and Process Discovery. A lot of other aspects are also maturing. We have definitely started using it for our clients, and it is maturing as a solution, but it is all about how you integrate the enterprise with all the automation projects, such as your chatbot, Conversational AI, and robotics. How they are integrated and talk to each other creates a very good business case with all three aspects. The next level should be about integrating it with other automation tools as well. It can have integration with other tools or automation projects, such as your chatbot, Conversational AI, and robotics.

I am in robotics for the last seven to eight years, and I have been using Blue Prism for about three to four years.

Stability-wise, it is a good tool. 

It is definitely scalable. The whole market of RPA is definitely scalable, but it again depends on your feasibility and complexity when you study a particular environment and process. It also depends on whether you want to scale in the whole organization or different departments or you want to scale up into different areas. All RPA solutions are on par in terms of scalability. There is no difference between them.

I don't have any direct experience with them. My solution architect used to handle that. I haven't seen many technical issues because if you are going to deploy the solution and if you've studied enough about the organization and the architecture, then something major is not going to come up. Anything minor, such as securities, passwords, or anything else, can be easily managed.

It is completely run by the solution architects, which is the support team from the RPA side. All technical issues definitely involve the IT team, which is your internal architecture support team and the application support team. You need the support team from the architecture and the IT perspective to manage the technical follow-ups.

I have also used UiPath and Automation Anywhere. All these three solutions stand out because they are at the enterprise level. As compared to UiPath and Automation Anywhere, to use Blue Prism, you need developers who have hardcore development experience. It requires quite a bit on the development side. In Blue Prism, you can also code separately and write a script, which adds more value to it.

Blue Prism came too late into the market with its analytics and process discovery features, whereas Automation Anywhere and UiPath were the first ones in the market. Blue Prism is catching up, and it is in the Gartner quadrant, Forrester, etc. It is not lagging far behind.

In Europe, Blue Prism has captured a lot of markets. In the US and Asia, you will see Automation Anywhere and UiPath in the front race. Microsoft, WorkFusion, and Pega are also catching up now.

It is not that complex. It is about how you study an organization and how an organization's architecture runs through. If it is a big organization or an enterprise, then you have to have solution architects from the customer side and also from our side. Solution architects will go and study the customer's architecture. Based on that, we can select which tools are going to be used and how complex it is going to be. It is very much dependent on how the architecture of an organization is because you are going to place the automation tool into that particular organization. Therefore, the initial feasibility and study play a major role in defining the complexity of your design and the entire format or automation.

Initially, the deployment used to take quite long. Now, it is not client-based; it is web-based, and the installation process has been reduced. You just download, and there is no starting a client and all that kind of stuff. It is much easier now than it was before.

In terms of the staff required for the deployment and maintenance of Blue Prism, it depends on what kind of process you're managing. It is not about the tools; it is about the processes. You need to know:

• How complex they are?
• What is the risk factor for these processes?
• How do they impact the entire automation in terms of cost? That is a very important aspect of support because it is in production, and it is going to have a straight impact on the client's revenue.
  

Generally, one person can easily support around five processes if they fall into the simple category. If the processes fall into the complex category, then you need at least two people managing five processes. By complex, I mean when you have applications that are lengthy and the number of steps of the process are more than 500 or so, and you have to monitor the bots very closely. When the bot or the process breaks, the support team needs to take over and act accordingly. 

The roles and responsibilities and the kind of people needed for maintaining the solution vary based on whether you have agile project management or a lot of projects going on. Typically, you will need a solution architect. You would require an analyst only in the first two or three months or whatever is the period for taking care of the process you want to deploy. After that, you don't require the analysts because it only needs to be overseen from the business side, which will begin with SMEs and the production support team.

Any changes or optimization after 90 days, six months, or a year, due to multiple factors such as legislation changes or anything else, have to be done in the process that is robotized. At this stage, the SMEs and the support team play a very vital role. There should definitely be a very good support function because a lot of follow-ups happen in the process and the production in robotics. To manage them, there should be a very good ticketing system in place. The Agile methodology works perfectly fine, and it adds great value to run your process effectively and having an efficient process, but you definitely need the solution architect, application owner, project management team, and the COE team to manage the entire workflow, work items, or backlog items coming into the support function.

It is a bit higher in cost as compared to Automation Anywhere and UiPath. The rate also differs from client to client. Margins are also important when it comes to costing and licensing. There are some additional costs involved besides the standard licensing costs. You have the development team cost, which includes the project manager, development team, analyst, and testers. You also need a team manager. You also have the tools cost, architecture cost, platform cost, and the licensing cost of each bot.

You should suggest a tool only after you study the architecture of an enterprise. Every tool has its own features, upside, and downside. It is not about necessarily going for Blue Prism, Automation Anywhere, or UiPath. For implementing a solution, you definitely need to look in the market to find out what suits you. You can then go for it.  

Blue Prism, Automation Anywhere, or UiPath are on par. There is not much difference in those tools at an enterprise level. The early development cost and the cost of the platform differ in these three tools. There are some clients who say that "We want only Blue Prism. We don't want to look at anything else." In such a scenario, you can definitely go for Blue Prism because it is on par with other competitors. 

The biggest lesson that we have learned from using Blue Prism is that it is important to choose the right processes and the right complexity of the processes. You can't choose highly complex processes where you have around 800,000 steps or very volatile processes where the team is involved in the application layer or at the process level very frequently. These kinds of things could be avoided.

I would rate Blue Prism an eight out of ten because it is a very old tool. It has been around in the market for quite a while, and they have their own learnings. It is a complete package at an enterprise level, where you can have analytics and attended and unattended automation. You can run your scripts, and at an enterprise level, even security aspects are very strong as compared to what is generally required by a client. There is room for improvement. All the new features that are coming up are not being used by many clients, and a lot of learning has to happen.

I am a solution provider and I implement RPA products and automate processes for my clients.

With this product, you create your workflows on the cloud. We've used this product for integrating with Microsoft solutions. For example, one of them is a document approval solution, where documents are sent to SharePoint and then pushed to different users within Active Directory for approval. This is done according to rules set by the client.

There is also a COVID application that was built around Power Automate and the Power Platform, where users within the organization can raise a request for a test and this would be pushed to managers for approval.

We are also looking at financial processes around bank reconciliations and interbank transfers.

The most valuable feature is that it easily integrates with other Microsoft products, so it has multiple connectors. You can create solutions that connect to Teams, Outlook, SharePoint, and OneDrive.

There are templates available for you to create your own flow, and it is easy to start creating a flow and automating a solution.

There are some bugs or intermittent behavior in the Excel activities that require using workarounds. For example, there is an Excel activity called Collect that fails once in a while. When you want to choose or select a particular cell, once in a while, it fails to do so. It doesn't happen all of the time and I don't know if it's a bug, but it's something that they can look into.

I have been working with Microsoft Power Automate for approximately one year.

This is a very stable product.

The scalability is amazing. This is a cloud-based resource, and there is no limitation in terms of scale or size. You can easily increase the scope of processes being handled.

The COVID use case is available for all of the employees, which is approximately 2,500. The documentation approval use case is used by managers and people making requests, which is approximately 2,000 people. The use case involving financial reconciliation is only for a small team that consists of about five people.

The technical support is good. They are available and you can just call them. We have Microsoft Office online support, as well. This means that you can call them, or instead go to the forum and search for activities and resources. They have a lot of resources available online.

There are good tooltips available within the product itself. You can look at something and the tooltip will explain how it works and what you should do.

Overall, the support resources are good and I would rate the technical support a nine out of ten.

I also work with UiPath and WorkFusion.

The initial setup is straightforward. Power Automate is a cloud-based tool, although I downloaded the Studio to my local machine.

The deployment takes one day. You just switch environments from UAT to production. You can easily export your solution and import it into the production environment.

We were working with another company to implement the solution but we completed the implementation and deployment ourselves.

The licensing model is flexible in that you can pay per automation or per user. My client receives a discount because of the large number of users and pays approximately $15 for each one.

There are no costs in addition to the standard licensing fees unless other resources are being used. For example, Office resources are available on Azure, but that is a different product. It is related to Azure, rather than Power Automate.

Our client chose this solution. They already had Microsoft enterprise licenses, and they felt it was better to use a Microsoft product for their automation solution.

Overall, this is a good solution and I like it. It's very scalable and easy to do so. Also, there are many connectors and they are quite useful. This is a product that I recommend.

My advice for anybody who is implementing Power Automate is to be cautious about how they distribute their flows, just to manage the licensing cost. Because it is cloud-based, it is an easy-to-use tool for both small and enterprise-wide solutions. There are no complications when integrating with Active Directory or the cloud platform, and this is good, in particular, because everybody is moving to the cloud. This product makes it easy to integrate things that people are already working with, such as Teams and Outlook.

I would rate this solution a nine out of ten.

We use the platform to help our customers by building automation solutions in order to solve their business problems. The use cases include AP processing, form data extraction, data collection, and Excel reporting.

We use a combination of RPA and IQ Bot to deal with semi-structured or unstructured data, such as documents and images. We also use Bot Insights for business process analytics and bot operation health checks.

The platform is deployed using an on-premise configuration and connected to multiple bot runners, running in virtualized environments. 

We found that RPA with additional AI capabilities, such as machine learning and Computer Vision, can enable the organization to augment existing business operations by creating efficiencies and improving the accuracy of data to be processed, without changing too much of the existing system.

This will reduce the change cost and help business units to elevate their existing teams, processes, and systems so that they can focus on higher-value tasks that require creativity to perform.

The handwriting recognition capability in IQ Bot is particularly interesting, as we can see a high level of accuracy in extracting handwritten texts. 

The IQ Bot component has enabled the business to quickly identify the different documents and provide the ability to integrate with in-house or external AI functions. This enables us to extend the initial document extraction facility to transform the information into key decision-making attributes. The document training facility has made it easy to identify select-extract the components on the documents and it is also capable to recognize handwriting context with the help of pre-configured Azure AI services. 

The improvements that we could see would be the increased stability of each A2019 releases and reduce the likely impact on existing features. We are also looking to see improvements in the upgrade and bot deployment processes to make them easier and less interaction with back end servers. 

We are also to see more features to be added to seamlessly transition between human and bot tasks in the long-running process. We are also keen to see the new AARI feature develop into a voice-enabled command activation to run the bot process. 

We have been using Automation Anywhere for more than a year, ever since its release in 2019. 

The A2019 in early releases had been quite unstable to our experience. However, since A2019.14 there seem to be improvements in this area and so far we haven’t seen any major issues that impact the existing features we are using. For any of the new features, we suggest to always check on the release notes and understand the limitations of the features before using them in your solution. 

The technical support team has been prompt and helpful in addressing issues coming out of the platform. There is a limitation in having multiple admin accounts to view the same ticket information but we were told that a new improved system will be implemented to address this limitation. 

We use a process-based workflow automation solution and we actually still use them to deal with long-running processes as they have more extensive features to deal with workflow-based problems. However, we see RPA can help in complementing the process by automating the mundane tasks of the process and getting greater efficiency for the business as well as reducing the likelihood of human errors. 

The installation is quite straightforward as they provide us with an installer package that guides you through using wizards. But the pre and post-installation process can be quite complex and laborious depending on what features you need to enable. In some cases, these feature configurations require the underlying services to be restarted from the server backend. When using virtualized environments in the cloud connecting on an internal network domain, there would be extra care needed on the network configurations to ensure communication channels between the machines are properly connected.

We deployed in-house. 

You need to be mindful about the initial server costs if you go with an on-premise deployment model as the specification can surprise some of your stakeholders. For licensing, always try to get through reselling partners for getting more customized and better prices.

We observed all major players in the RPA space such as UiPath, BluePrism, and WorkFusion. There are also some companies that operate in a specific market that we looked at.  

My current role entails defining the strategy. It's not even the administrative part; it's just comparing different products according to the Gartner quadrant and understanding fit for the purpose of the organization.

If I look at the top four, I believe it is far more user-friendly than the other competition.

In terms of functionality, I believe Blue Prism, has a partner portal that allows integration with various technologies, I believe they are on the right track. There are no concerns there.

I believe they need to become more competitive within the market in order to maintain their market share. We were essentially a Blue Prism shop and sold Blue Prism, but because of the price point, many clients are now looking at competitors.

My experience with Blue Prism Cloud is limited.

I spent five years consulting before moving into corporate.

I have used it with a number of clients and it appears to be stable. There are no concerns with the stability of Blue Prism Cloud.

Definitely, Blue Prism Cloud is a scalable solution.

We are also dealing with UiPath, WorkFusino, and Automation Anywhere.

Microsoft Power Automate, which comes standard with your Microsoft tools, I believe is gaining traction in the market. I haven't seen any large-scale deployments yet, but that's something to keep an eye out for.

The initial setup is straightforward. it is easy to install.

As a consultant, we worked with Blue Prism on pricing, we resold licenses.

I believe UiPath is making a strong push into the South African market. They are providing many clients with the opportunity to migrate at a reduced cost.

When compared with UiPath, I believe it will be difficult for Blue Prism to maintain its market share.

I'm not a technical person; rather, I'm an executive. I was trying to gather information about the strategy and approach. When it comes to the specifics and technicalities, I don't have a lot of information.

It's more from a strategic perspective, but I believe it makes sense overall. We've installed it both on-premises and in the cloud, and the cloud has proven to be far more beneficial simply because the environment is outsourced. Where providers offer this maximum uptime, it simply eliminates the need for on-premises support.

I was the reseller. I am now a digital executive looking to implement digital tools.

I'm not too knowledgeable about the functionalities and technicalities.

Based on my limited knowledge, I would rate Blue Prism Cloud an eight out of ten.