Automation Anywhere Reviews

The primary use case is to automate processes internally for my company.

I build a lot of processes which have saved a lot of time for my company using this solution. 

In my previous company, a payroll employee would close a payroll, which resulted in him receiving six to seven reports. He managed 15 companies. Each report took him 30 to 40 minutes per company. With Automation Anywhere, I was able to save this work time for him. He was then able to focus on other value-added tasks. The bot now pulls the report for him, sending it directly to the client.

It is very easy to use and learn compared to a programming language, where you have to have a background in coding. Anyone can learn it. Learning the software is easy.

As a developer, the product is easy to use. It has a lot of commands that I can select from, such as folders, organizing files, and going to websites. It saves time from what a human would be doing.

The only challenge is knowing the process of using the software.

I would like to have Git implemented with the version control system.

Sometimes, the recorder from Automation Anywhere does not work well and is inaccurate. This should be improved.

I haven't had experience with the technical support. I never call them.

I would like them to have better license management.

Automation Anywhere is a very friendly tool compared to other RPA tools.

Look into the usefulness of RPA robotic process automation. As a solution, Automation Anywhere is complete for business users and developers.

The bot creation is easy if you have one or two TaskBots. However, if the process is complex, you will need to split the process into modules.  

The solution integrates very well with other applications. Though, it only works with Internet Explorer right now, but you can run other applications with an open program. Object clone captures the objects very well from the software. It code APIs, run stuff from the back-end (like SQL queries), and executing procedures. Everything is in one package.

While I am registered to take courses with Automation Anywhere University, I don't feel that I need to take them. I learn from hands-on training.

I am new to learning about IQ Bot, but I think it is really useful for an insurance company because they scan documents all the time.

About a year and a half ago, we started making a business case for the software. We now have 15 bots running.

• It is flexible and user-friendly. The flexibility is awesome.
• It is easy to learn. Coming from a programming background, it is easy to use.
• Its ability to integrate with other solutions is awesome.
• The cognitive document processing is very good.

I would like to see a bot button.

The technical support is very good. We now have a technician on-hand to assist us with issues, instead of reaching out to Automation Anywhere's technical support. 

The cost is affordable, which makes an easy barrier to entry for the RPA market.

We chose Automation Anywhere because it is user-friendly.

I would recommend trying it. Once you see it in action, you will understand its capabilities and how easy it is to use.

The bot creation process is pretty standard. We take an idea for a business process and try to standardize it. We put in development and test it a hundred times before putting in production.

Courses on Automation Anywhere University are very easy to learn. It provides a huge amount of training and learning exercises for you to learn how to use the tool.

I haven't used Citrix yet.

We are using Automation Anywhere to automation some of our menial processes.

We have automated our pricing update and audit functions that we do as an operations team.

Our organization used to have a process which took five business days to do: our monthly pricing update. This was a very manual process. Our very first bot built was to automate this process. Now, the bot runs in the background every month and the process takes less than a day to run.

It is easy to use and learn.

Working with the Automation Anywhere servers and domains have proven to be difficult. We are trying to get more licenses and servers set up, so we can run multiple scenarios simultaneously. 

I am excited for the web browser Automation Anywhere. This will be helpful for us because the solution is limited to our team at the moment. A web browser solution would allow us to expand it to different teams.

I haven't really had to work with the Automation Anywhere technical support. I mostly use my in-house technical support.

Their previous process was terrible, so they started looking at automation as a solution.

While the initial setup is fine, the servers have caused us a few headaches.

Our first bot was complicated, and probably not the best thing to start with. However, as we learned from that experience and more of Automation Anywhere's features, we can now push bots out fairly quickly. The process is a lot smoother. Our infrastructure and design have improved tremendously.

We deployed the solution with our in-house team.

We were spending 50 to 70 hours a month doing manual processes and possibly making errors. Introducing bots has saved us on hours and eliminated of errors (as bots don't make them). We have not had an accuracy issue since introducing bots.

In terms of monetary savings, we automated a bot in three days that has saved us $30,000 in costs.

A lot of companies are putting a lot of effort into increasing and improving their front office processes.

It is a great resources right now. I am really looking forward to ramping up for my second year of going into automation.

I'm using it for logistics with respect to Fintech, where we are dealing with the brokers.

In the context of the number of FTEs, they used to spend their whole shifts working on repetitive and mundane tasks. Now, they can be utilized for other tasks.

• The most valuable features are Excel operations and PDF for integrations.
• It's very developer-friendly.
• With IQ Bot, we can now include cognitive automation into our process. The cognitive document processing is pretty good with IQ Bot.

An additional feature we would like to see is the inclusion of a particular kind of scripting in the development environment itself.

Out of ten, I would rate the stability at seven. Compared to other tools, like Blue Prism, which have something like sequential flow-levels. With Automation Anywhere, it's something like action levels.

It took us two months to scale from pilot to the number of bots we're currently using.

The technical support is pretty good with Automation Anywhere. If we have any issues, we raise a support ticket and we get it resolved.

Previously I was using a solution in which we did not have a Control Room. With Automation Anywhere, we have a Control Room which is pretty good.

The initial setup was straightforward.

We used a reseller for the deployment, and our experience with them was good.

We measure ROI, but not with the Automation Anywhere tool. We have our own tool for that.

Automation Anywhere saves time and money.

I've taken all the courses at Automation Anywhere University. I have been certified in Automation Anywhere, using their course system.

The primary use cases are for card and HR automation.

For our interorganizational processes, it has automated some of those processes.

The Bot Store has helped tremendously with accelerating integration from other applications. Especially with Workday, which is one of the main applications that we look to integrate.

It automates forms for our customers and our analysts.

They could improve around continuous integration, e.g., Jenkins and GitHub, stating how you could use those products and integrating them into Automation Anywhere. This is one area that we need to see more improvement on. We had to learn a lot of this on our own, as it is unavailable and not documented. I would like for them to be more verbose in putting this in the documentation.

In the next release, we would like to see more error handling functions for the bots, the ability to kill an errant bot, and have more visibility into a lot of the process flows going on in a more automated fashion.

There is a lot guesswork in areas.

The initial pilot was for two processes, which took us about four months. Then, the other processes were more extensive, so that took longer, only because we needed to do more with the process documentation, not so much in the bot creation. It just depends upon the complexity of the process, but also how well-documented your processes are.

The technical support is good, but I would like to see improvement with the documentation. 

We did not previously use another solution.

The initial setup was complex, only because of the process that was selected. That took us longer than usual, because it had a lot of cognitive decisions in it. Part of our new process is to evaluate if a process should be automated or not, and does it have more repetitive tasks than a lot of decision making. This has greatly increased how we are able to put a process into play for bot creation.

We leveraged a third-party, as far as our bot creation, initially. That is how we did it. We have worked with partners to create bots.

Before the automation, it used to take about two to three hours. Now, with automation, it takes about 40 minutes. We measure ROI with time.

We also evaluated UiPath.

Take into account your processes. As part of the automation journey, don't look at just the technology part. This is where a lot of people make a mistake. They focus so much on the technology that they forget about "process" of RPA. They need to take a longer look at this and break down the process at its task level to see if it is worth going the RPA route. Once you do this, look at the vendors to see which one provides more in the way of bot creation and scalability, especially if you are in a cloud environment. Then, with the continuous integration, you will need to have a lot of this as you are putting things into production from development.

For ease of use, version 11.3 was an improvement compared to version 10.5. I am looking forward to seeing what 2019 provides for developers.

I would rate version 10.5 as a six out of ten and version 11.3 as an eight out of ten. I would rate version 11.3 higher because there have been changes made to how the bot creation is now done, the interfaces, the ability to utilize the VDI environment, and multitenancy.

The primary use case is to save hours for all the manual stuff which is going on.

Things are not overly complicated now. We can streamline processes.

Its ease of use is the most valuable feature. It is easy to train developers and find the right people, then use them to build the tool.

I liked the Automation Anywhere University. It was easy and simple. I hoped that it wouldn't take too much of my time, and it didn't, which was good.

I like the bot creation process, because it is very simple. If the process is not complicated, then the bot is really easy to create.

We had initial hiccups, like any new process. It took us six to eight months to sort the product out. It has been two years, and we know what we are doing and which use case work better for us.

We would like to use the mobile feature and give access to our users, but we don't know how.

The technical support is pretty good.

Everything was previously manual. We determined by going with an RPA solution that we would save time.

The initial setup was complex.

Automation Anywhere helped us with the deployment.

We measure ROI as in the number of hours saved not performing manual activities.

We evaluated a few vendors.

We have integrated Automation Anywhere with a few other application, but there is still more work to be done.

We have done some work with documentation, but not a whole lot. We are still exploring other features.

I have worked for two companies in the past who have used Automation Anywhere. Both primary use cases have fallen under finance and accounting, with a lot of finance and accounting based functions primarily for data processing: 

• Extracting data from different systems.
• Aggregating data.
• Doing analysis on data.
• Porting data into other systems.
• Doing accounting based functions, such as reconciliations and transaction uploads.

• At the most granular level, automating people's daily tasks has been helpful by freeing them up to do higher value-add activities, which is definitely beneficial. 
• On a larger scale, the tool is improving processes overall by making systems and processes more stable. It returns hours, time, and money back to the business.

• From a developer perspective, the user interface is user-friendly and easy to use. 
• From the admin side, the Control Room is simple to use. There is a lot of functionality with a lot of analytics and oversight that you can draw from just simple web pages. It is definitely the most useful.

Integrating this solution with other application has been good for the most part. A lot of the issues that I have are related to the actual applications than with Automation Anywhere. Any additional functionality which comes out in regards to integrating it better with more widely used applications, like Salesforce, Oracle, or Workday, is definitely beneficial and helpful at the end of the day.

I have been hearing great stuff in terms of upping the product's cognitive game. Anything that can be done to work with unstructured data sets would be helpful, like increasing the subjectivity of bots, and moving away from solely rules based processes to anything which actually requires subjective judgment. If Automation Anywhere could code that into the bot design and framework, having it sort of act like a human, that would be helpful. 

Anything that can be done to increase the stability from a system standpoint in regards to large-scale systems, which are being used by a number of applications, e.g., Salesforce or Workday. This would help us, as well.

Automation Anywhere should work to continue maintaining its ease of use.

One to three years.

My current and previous companies have had stability issues. 

I started on version 11 of Automation Anywhere, then when I joined a new company, they used version 10. Therefore, I have seen both versions. With version 11, some of the development stuff was a bit clunky in terms of the tasks that we were performing. They didn't perform as expected, or perform properly, when we were developing the bot. Then, once we deployed it into production, the bot would run for a specific process and work properly about 10 times, but on the eleventh time, it would break. It was always random. Nothing had changed at all, in regards to our system, architecture, or infrastructure.

On version 10, things had been a bit more stable. We made sure that we build code which effectively captures all use cases and exceptions, but stability is key. When you're building automated solutions using bots, people are already skeptical and hesitant to adopt them. Anything you can do to improve the stability is definitely helpful. Ultimately, it depends on what your goal with RPA is. If you're using RPA as a stop-gap to build large-scale system integrations, then it's very helpful. If you're using it as a be all, end all, then stability is your number one concern. 

The product is definitely scalable. A lot of it will depend solely on the architecture of the organization who is implementing it. If you are using on-premise servers, it is much harder to scale up versus if you are using cloud-based architecture. Automation Anywhere provides the tools and expertise to make it scalable.

At the previous company that I was with, we had a pilot in September 2017 with approximately 20 bots. Then, in production, it took nine to ten months. With the organization that I'm currently with their process took a little longer, but they were standing up their COE initially. So, they went from pilot to about 30 bots in production. This took roughly a year and a half to two years. 

With regards to process, there is a lot involved. If you want to have a successful RPA and Automation Anywhere implementation at the ground level, you need to lay the foundation and the framework. Therefore, you need to build your center of excellence, and make sure you have dedicated people who will focus on whatever their role is: People related to support, governance, development, architecture, oversight (who will work with your security teams to get your reviews done), and IT personnel (who will provision servers and licenses and do Control Room administration). There is a lot involved to take it from inception to a successful program. 

The technical support has been helpful from what I've used. Initially, when we were exploring solutions and using Automation Anywhere, as a vendor, their technical support seemed to be lacking a bit. It seems like in the last few months or year, they have been stepping up their game, in this regard. They are very prompt to follow up with issues and want to make sure issues are thoroughly resolved before they close tickets and move on, which has been helpful.

At both companies, we never used a different solution before Automation Anywhere. 

We had individuals working at the companies who spent years going to school, but could not necessarily download reports nor input data into spreadsheets, and this was something that could be easily automated. We wanted to free up users and people to perform higher value-add activities, exercising analytical and critical thinking, as opposed to being cogs in the machine.

Certain aspects of the initial setup were complex, but that's a given when you're talking about technical architecture and getting the infrastructure you need in place for a successful rollout. Though, some aspects of the initial setup were simpler. 

The simpler aspects are designating roles for people based on what it is they want to provide to the center of excellence for RPA and how they see their fit in the organization. The more complex piece of it is working with all the stakeholders, internally and externally, to get all the infrastructure in place that you need in order to develop, deploy, test, and run bots in production. 

For deployment, at the first company that I worked for, that was all in-house, as we were deploying our own bots. The architecture, development, and deployment were all in-house. 

At the company that I currently work for, we have a managed services company who does development for us, and we still handle deployments. It is more like a segregation of duties, where we handle the full deployment on the end once code is ready for production.

We have seen ROI, otherwise we would have stopped using the product.

At a base level, for ROI, we equate a dollar value out to the process owner, or the business user, and multiply that out by the number of hours being saved. However, that is really base level. There are other factors involved that will help:

• If you reduce the number of errors.
• If it's related to month-end or quarter-end close for a business cycle. 
• When automating a base level process, that saves time, but it doesn't always account for the additional time given back to the user to perform another higher value-added task, as well.

On the shortlist were some of the largest players in the industry: Blue Prism, UiPath, and Automation Anywhere. This was in 2017, when I was involved with the PoC. We chose Automation Anywhere because of ease of use and overall functionality. I think the cost was also a big factor, but I don't have much insight into it.

People seem to be a bit skeptical about the cognitive document processing. I don't know if they see the power that IQ Bot provides relative to other world leading software products, such as ABBYY, which is another big OCR technology that I have used. If Automation Anywhere is stepping up its game in the cognitive aspect, this will help guide adoption in the future.

Consider all relevant factors before making a decision on a provider. Don't just randomly decide to choose one provider over another. At the end of the day, it comes down to what you are trying to achieve by implementing an RPA solution, what you're looking for in an RPA service provider, and who is willing to best address that and meet the needs of what it is you're hoping to achieve. You should consider RPA as a solution, and there are a whole host of other automation software solutions across the spectrum, as well, which are relevant for different things, but RPA has its place in any organization. Just know exactly what it is you are hoping to achieve. Based on that, you'll be able to find the best provider for you.

For developers, it's relatively easy to use. I know some developers are hesitant to use it because they come from traditional technical backgrounds. The product is counter-intuitive to everything that they have studied. If they studied computer science, they're really reticent towards something that can just automate what they learned. For someone with a nontechnical background, it's relatively easy to use and easy to build tests out. It takes a bit of effort to master and build sustainable solutions, but it is easy to use from a development perspective.

I have not been able to take courses in Automation Anywhere University for the new platform. I started using Automation Anywhere back in 2017, and the Automation Anywhere University wasn't available. There was another platform, at that time. We did the online training center for it, and it had eight different sections. Back then, it was a little clunky. You had to go through one section and complete it before moving on another. From what I've heard about Automation Anywhere University, it's much better and more functional. I haven't had the opportunity to use it yet, since I haven't really needed to use it. However, I do plan on exploring it in the future.

I don't use Citrix automation.

We have so many use cases. One of them is in finance and accounts. We have customer billing portals where there are invoices and purchase orders. The bot goes through these and gives a roll-up of the billing numbers. It goes through each customer portal. One example of a customer is IBM. It goes to the IBM portal, it logs in with bot credentials to SAP Ariba, opens an invoice and matches the purchase order items with that invoice, line by line. It then posts that invoice for billing purposes in that customer billing portal.

With the above bot in place, the cash-collection process will actually improve.

One of our other use cases is that in our general ledger process, our accountant was actually doing cash-to-bank reconciliations. He was going into SAP, downloading the open items, and then going into the bank statements and comparing the balances. By using Automation Anywhere, we were able to automate this process and now a bot is actually working as a bookkeeper and it's trying to close all the open items of the previous month and the current month. It ensures that the unidentified balance between the bank and the SAP balances is zero.

That cash and bank reconciliation is part of our book-closing process. It used to take 20 days for books to be closed. It now takes between ten and 12 days to close the books. That's an eight-days reduction and that's because of only one activity we have automated. 

As we speak, we have automated general entries and the AR reconciliation process as well. The time needed for our month-end close has been reduced.

MetaBot is the most valuable feature. Other products have robotic functionality but MetaBot is a kind of functionality by which code is created. For example, if you log in to the SAP Ariba portal and the MetaBot functionality is used, then whenever anyone within our company has to use the SAP Ariba portal, they will not need to code the process again. It will become a drag-and-drop functionality so business users who do not have coding knowledge can drag and drop. Out of ten steps, that user is able to drag and drop six of them to MetaBot. He is left with only four steps that need coding. It saves a lot of time, but these functionalities cannot be achieved overnight. You have to invest time and energy, create a set of libraries.

There is room for improvement when this application is used in a Citrix-based environment.

Another thing I have noticed is that the previous version does not have log functionality. If an external audit is happening, those logs are not available to show what changes have happened in the application. But in the new version they improved it and now those logs are available. So when our external audit came, we were able to demonstrate that whatever changes are happening in the application are getting logged somewhere and saved for future reference. In the future, if any fraud happens, we'll be able to backtrack that fraud into that application.

Stability is good, but it totally depends on the kind of infrastructure the organization is using. If the organization using Automation Anywhere has a sound infrastructure, the stability is good. But if the infrastructure keeps changing, then the application becomes a little erratic.

Scaling is very easy. We were able to scale it up very easily.

For 2018, we thought of doing eight projects, but we completed 25. We're definitely planning to scale up, but scaling up does not depend on Automation Anywhere. It actually depends on our organization's strategic plan, and how fast we want to do it. As an organization, we want to be a tortoise in the journey, rather than being a hare. We want to have a consistent pace of implementation. Initially, we were like the hare and did some extra implementations, but now we are trying to match it up with the pace of the organization. Sometimes, too big a change can rock the boat, which we don't want to do.

But equally, we were able to demonstrate that this application can do wonders for the organization, help us to digitally transform the way we're working, and introduce a new way of working to any organization. Now, humans have started adopting bots as their new team members.

Automation Anywhere has a very nice support team, and it's just a call away. You don't have to log tickets, although that functionality is also available. I have a dedicated person at Automation Anywhere. I can call her at 12 am and she will pick up and ensure that the issue is prioritized and solved the next day for me. I like the way that is done. It doesn't cause me sleepless nights.

The initial setup is straightforward. They have a guidebook to help our IT infrastructure team to set it up. It was very easy. Anybody who does not come from a software background could read it and would be able to install the application and start using it. I have done it myself and I don't have a technical background. It's like downloading Microsoft Word and using it. It's very simple.

Our deployment took three months.

Our implementation strategy is PDCA: Plan, Do, Check, Act. We planned this implementation, and then did it. We then checked whatever was not done correctly in the first instance and acted on it to complete the implementation. We believe in having a very simple approach. We planned to do automation using Automation Anywhere and then we acted on it. Then we checked that out of, say, ten milestones, we were able to close seven of them. We acted on completing the other three milestones.

They're very flexible around pricing and licensing.

We evaluated:

• Automation Anywhere vs Blue Prism
• Automation Anywhere vs UiPath
• Automation Anywhere vs NICE 
• Automation Anywhere vs WorkFusion

However, the Automation Anywhere payment plan, the flexibility they have shown, and the customer service support were fantastic. At a customer service level, we don't want to buy a product and then struggle with the support they're providing.

Go slow. Don't rush into things. Try to adopt this implementation around the business strategy your organization has. Don't follow other organizations blindly. Have a digital policy around adopting this technology. Have a Chief Digital Officer, who is able to understand this and then internally sell it.

Don't go with a "big bang" approach, but rather, go with the right test use cases, and then try to actually solve a complex business challenge through this implementation. Don't implement it just for the sake of it. For example, when we implemented it our focus was not to implement robotics. Our focus was to use this technology to solve a complex business problem so that it makes a meaningful difference in the lives of people who are doing that process daily.

For example, now a bot is able to do customer billing for us and we are able to collect fast. It directly impacts the revenue. On the other hand, if the cycle closing month-end is fast, my CFO has more time for his final quarter closing. He has more time to go through what didn't go well, rather than struggling to close the books and not having time to do an analysis and get insights into what actually works. So we are trying to solve complex business challenges. We're not here to implement robotics.

We could use any technology but, up until now, this technology has helped us.

We have ten-plus users of this solution in the roles of bot manager and bot runner. There are eight people responsible for implementation and deployment and they are solution architects.