Automation Anywhere Reviews

I'm responsible for the digital practice within the tax business. We are building a lot of our solutions using the Automation Anywhere platforms, both with IQ Bot as well as the regular RPA, in which we offer it to our clients.

I belong to the tax practice. My role is to see how we deploy technology to increase the efficiency of tax departments and help build new revenue streams from technology in the process . We work with our clients offering digital solutions in the tax space. That's really what I do for a living. We have had a lot of success using Automation Anywhere products. We've actually built a few solutions that were done on the EY cloud, which are offered to clients as a managed service.

I'll just talk about one use case using IQ Bot. Interestingly, every time an employee travels in India, the tax that you pay on each invoice, that is an amount that you can claim from the government as a tax credit. To be able to extract that information and put it together into a return can be massive. Because there are large companies where thousands of employees traveling every month and so on, what IQ Bot does using Automation Anywhere, is it reads through multiple sets of invoices, which can be in any format, extract the tax amounts, then it creates the return which is then used to file with the tax authorities. We don't even stop at that. We also compare this data with what is the actual travel that any company has. In many cases, what we've seen, there is a lot of tax where invoices have not been received. We also plug those gaps. There is a lot of value that clients derive using that aspect as well. It's not just about getting your tax right. You need to find where the leakage is and get that back to the company.

 I can tell you what our clients are always looking for. The big challenge with our clients is that while ERPs are only handling 20 to 25 percent of the requirements. There is a lot of unstructured and semi-structured data that exists in the ecosystem which they can't leverage. That's really what they want the bots to do. How can they complement the current IT infrastructure in a good way to be able to get that outcome?

IQ Bots are extremely powerful. We are using them increasingly more where we're about to look through a lot unstructured sources, like PDF documents, scanned images, contracts, etc. We are able to take the data out, then use that toward processing structured data and creating insights for our clients. 

They have done a fairly good job on the RPA space, but more and more, the whole cognitive AI space and machine learning are where I see the industry actually going. I'm sure Automation Anywhere is also focused on that topic, but we would like to see more coming down the pipe, as early as possible.

So far, we haven't had any issues that I want to highlight, so I'm assuming that it's quite stable. It is working as we desire it to work. 

I think we have more than 50 clients who use our solution at this point. So, the scalability of the platform is well proven.

Every client is looking at scalability because they don't want to do just one or two processes. But, you will not be able to realize the value if you just limit yourself to a limited set of processes. So, the scalability is a very important task for clients. But there are certain challenges in scaling up. To be able to identify the right use cases that bring value is huge and very important.

Secondly, the technology infrastructure can be challenging if you scale up because you always have to add new servers to scale. That has always been a challenge. Having said that, I think what we heard today from Neil, there's a cloud version available that will be easily scalable. That is extremely exciting as a developer. That will be able to address a lot of the scalability issues that we've come across from our clients.

We have two models: 

1. With many clients, we actually go and have them implement Automation Anywhere in their own premises.
2. The second model has actually proven more beneficial to lot of our clients. It is where we have set up the bots in our own EY private cloud on Microsoft Azure where we have implemented certain standard tax processes. So, we only get clients to migrate their processes onto our platform. There, we just take out the pain around the whole implementation, because it is not really relevant to our clients. They just start to get outcomes, and don't have to worry about it.

We have developed a very strong capability internally that is proving to be strong differentiator for EY in the market.

the ROI of the automation investment for tax processes is very strong as apart from the process efficiency, there is also a financial aspect of lost tax credit that our solutions help to capture.

 A lot of the clients have some footprint of the other competing RPA vendors who they want to leverage. We often come across those type of situations.

There are some inherent advantages that Automation Anywhere offers. Both in terms of the commercial structure, as well as from a platform perspective, that makes it very compelling for clients to actually look at using Automation Anywhere for tax processes. in our case, in India especially, some of our clients really want to start small. So, they don't want to start with a big bang, like 20 to 25 bots. It is always easiest for them to start with one process and one bot, go with a proof of concept, and gradually scale up. We have a very good arrangement with Automation Anywhere, where we can offer that as a partner pack, where we bundle services and the license for small processes. This makes it quite compelling for clients. 

The way the platform is evolving, we also see some technology advantages using Automation Anywhere, especially if you combine RPA plus IQ Bot along with the Bot Insights platform. That gives it a different shade compared to some of the other existing platform vendors.

I would rate it a six and a half (out of 10).

We started off with accounts payable type of processes. That was our proof of concept. We built that within two or three months. It was highly successful, then we got a high level of endorsement from the wider organization. From there, we moved into academic processing where there's a lot of opportunity around the processing of student results, assessing students for admission into the university and handing out offers to students. There are a lot of things in that academic space which are highly manual. Often, these take quite a long time to process, so there's a clear benefit to the student by reducing the cycle time, which has led to great benefits for the organization.

In my case in particular, I come from a business background, not an IT background. So, it sort of speaks for itself that I was able to pickup its functionality and how it works. In the space of two years time, I've gone from a junior developer to a senior specialist. So, it really speaks for itself in terms of being user-friendly.

There are often a lot of functions within the software that will do the same thing, but it's up to the developer to decide which is the most appropriate. If there were a way of the product sort of indicating or automating which function is most applicable for that field for that particular purpose, that would be great. I think that might be a ways away. But, I think a lot of the improvements that we're looking to find are going to be in the new cloud release. So, we are really looking forward to getting on that.

Every piece of software has its downfalls. The great thing about AA, particularly in Melbourne, is we have local support. So, if we do raise a ticket, it's addressed by our local team down there. If they can't handle it, it'll be expedited abroad. So, we're always very comfortable that we're going to get a prompt reply and support, if for whatever reason, we have an issue with the software. We've sort of developed coding standards which has helped us to avoid any downfalls or pitfalls. Throughout our journey, we've learned how the software really works. We're developing it in a more mature way now, which has reduced the number of errors and breakages of the code.

it's just a learning process. As long as you're willing to learn and engage with the software, it can be quite stable.

With Automation Anywhere, there are multiple ways to achieve the same outcome; many different ways to design a bot and execute a bot. But, there's definitely a best practice out there. For those with little experience, they might be inclined to follow the quickest or the easiest way to develop a bot, but that's not necessarily the most sustainable solution. So, we sat down as a team at the university and agreed upon a certain set of standards that we will always follow. We initiated a code review process, so every code that goes into production, or every bot that goes into production will go through multiple rounds of code review. If it doesn't meet our standards, it'll be pulled back out of production, reiterated, and eventually then it'll go live.

We've gone down the Reagan approach, which was referred to in the session earlier today, where we essentially started out with that low hanging fruit. We built confidence within the business and from there, it was quite an easy sell because it was quite obvious to the business that we could deliver and could deliver fairly quickly. 

In terms of scalability, we've had to grow the team slightly. It's really important to have the right team. You need someone with a lot of experience around the tool. From there, you can bring in a range of skill sets, including SMEs. We have SMEs on the team now that don't come from an IT background or development background. By having that range of skills, we've been able to sort of up the velocity of releasing bots.

We could always do better though, and we're still learning.

The technical support in Melbourne, it's great. We have a strong relationship with Andrew Rowlands, who's our customer relationship manager down in Melbourne. We really enjoy working with him. If we do have any issues with tickets that have been unanswered, he will address them for us. I think one of Automation Anywhere's strong points is really its focus on the customer. Because naturally issues do arise with the software here and there, some of which have been addressed in later releases of the product.

We haven't yet updated to the latest release. The company is well and truly able to support all versions and is always really responsive. We typically will receive a solution within 24 to 48 hours.

The initial setup actually came before my time at the organization. I think it is a little bit of an ongoing struggle, because we don't deal with the infrastructure. We have a separate infrastructure team that sorts all that out. So, sometimes there are communication issues just trying to get our internal IT team onboard to run through the installs and that sort of thing. But, definitely with the new cloud version coming onboard, we'll be looking toward going to that. Hopefully it'll resolve some of that friction that comes about through the install process and complexity.

Obviously, the easiest way to create a bot would be using things like keystrokes. It's very intuitive, simply entering the database and what you would see on a keyboard. However, it doesn't really relate to what you're seeing on the screen. So, quite often, you'll be entering data in the wrong field if there's a performance issue with the system. While if you use object cloning, which is another function within the software, it's more dynamic. It'll wait for certain fields to appear, then you will lower the risk of breakages of code.

Just an example, in a period of two to three years, we have a positive ROI. We have a positive return. We've delivered 25 to 30 bots, which equates to over 1000 atmx files. So, for a relatively small team, we've been able to scale up quite effectively.

In regards to how AA works, UiPath has more of a design flow view, where you'll be creating process maps and executing bots face on the process flow. While Automation Anywhere has this task view, or line by line view, that I find it very easy to use and intuitive. It's just really a great piece of software.

It's a solid eight out of 10. We've delivered tremendous value in a really short amount of time. We've gotten a lot of support from our organization. Of course, there are always improvements which could make it even more powerful. But I know the company is well and truly across those. I'm sure it's going to go from strength to strength.

From the business side, we're not an organization that has tremendous volumes, like a big global bank, perhaps that sort of comes into play a bit. But again, it comes back to coding standards. We have a lot of confidence in those standards. We just really ensure that new members of the team are strictly following those for sustainable bots.

We have many use cases for this solution. These include use cases from our life science, procurement, and HR departments. More generally, it is used for our regulatory and life science tasks, and some finance as well.

We have a huge roadmap that includes a lot of processes that need to be automated.

For example, some of our processes are related to clinical trials and the drug development process. They include verifying documents and entering a lot of data that has to be processed. The automation reduces the effort and time it takes to complete these processes.

We have a mix of technology in our environment, including legacy systems and new technology.

This solution saves time when completing our pharmaceutical processes, which allows things to progress faster to the FDA.

The IQ Bot is a very good feature.

For our legacy systems, we are finding it very difficult to use the automation. Sometimes, forty percent of our work cannot be processed in an automated fashion. We need to acquire additional automation tools in order to reach one hundred percent automation.

Automation Anywhere says that you can use this tool for any type of application, but there are some for which it is not compatible. In cases where automation is not supported, there should be alternative tools that are inbuilt where they can be used to support or guide the automation forward, giving us one hundred percent automation.

The licensing model has to be changed to perpetual because even when we are not using a license, we are charged for it.

For simple processes, everything works. However, for a complex process with a lot of rules and mappings then we are finding it really difficult.

We are in touch with Automation Anywhere and the partners who can develop the system and increase the speed, or deal with other limitations that we have.

We have more than two hundred and fifty licenses, although they are not all currently in use by the bots.

We have a direct point of contact for technical support, although there are limitations.

In some instances, the technical support is on time, but in other cases it takes longer. When we commit to the customers we cannot give the time, for example, as a two or three-day turnaround.

When the Automation Anywhere team works with our technical team, they don't understand what kind of tools we have within the system in our company, and how that data is going to be interlinked with the other machines. This converting of data on the functionality side is where some of the limitations are.

The initial setup of this solution is easy, although sometimes you have service problems.

For example, we have a server set up as a load balancer, and sometimes these two systems have a problem where the nodes are not synching. I think that it is an issue with Automation Anywhere having a bug in the system. This is a problem when you are selling it to the customer because you have to make sure that it is reliable, and will stay that way for some time. You cannot expect companies to change their products every now and then, or continually upgrade versions. We need things to be stable for at least one or two years at a time.

Automation Anywhere helped us to set up our Center of Excellence (COA), and their partners assisted us with other aspects of the setup.

We have seen ROI but we are not up to the mark.

From the setup, we have spent somewhere between one and two million dollars over the past two years. I would say that our ROI is less than one million dollars. I don't want to say that it is a failure, but I would like to see a better ROI.

Had things gone the way we expected then we would have seen ROI by this time.

The licensing cost is approximately $4,000 USD, which is a seed license. You can have as many licenses as you want but the moment you start using them, they charge for them. For example, if you have purchased two hundred and fifty licenses to use over one thousand machines then at any point, only two hundred and fifty users can log in. 

In 2017 when we decided that we needed RPA, we evaluated several products. We tried Blue Prism, UiPath, and Automation Anywhere, in addition to other automation tools that were on the market. At that time, we found that Automation Anywhere was doing better, and had more features, than all of the others, which is why we chose the product.

An example of the additional features was the support for PDF conversion, Excel data transfer, and the IQ Bot.

We have purchased more licenses than we are currently using, which is why we need to enhance automation.

These days, I think that UiPath is picking up faster and with more relevant features. If they are able to overcome the limitations we have, for example in legacy systems, then it may be a better choice of a system that you can sustain for a long time.

I would rate this solution a seven out of ten.

I work for KL University as an associate professor. I take care of internships, placements, and industry connect. I'm the associate dean of internships, placements, and industry connect at KL University.

In our university, we have started a center of excellence in association with Automation Anywhere. This robotic process automation tool is very important in terms of distal transformations. 

The majority of students are doing a lot of robotic projects with the help of the bot that we have established in our university.

Another way that this tool helps is professors are doing a lot of researching initiators in terms of automation, wherever there is automation, there is the possible usage of RPA.

The majority of students are showing a lot of interest in this tool as it deals with process automation. Once students are done with the certification and training, the majority of recruiters are showing interest because RPA is doing an excellent job in the market. The majority of Indian companies are showing a lot of interest in recruiting students who are trained in this Automation Anywhere RPA tool. When compared to current skills in the market, Automation Anywhere is a hard skill, where in universities in an Indian-based culture, this place a wider role.

A user can easily adopt this technology and utilize it, when compared to the other available resources in the market.

A majority of this tool works on automation. For future prospects, this tool should 80 percent deal with neural networks, deep learning, and artificial intelligence and that has to be integrated a lot. As these are future skills, these integrations will help us take the tool to take to the next level.

This product is very stable in the market because the adoption of this product is very clear. There is no complexity. Plus, anyone can learn this tool. In India, if a tool comes along, people think that it is relevant to technical guys. However, if someone goes through RPA, a non-IT guy or IT guy (anyone) can adopt this technology, as it is easy to adapt. The unique selling proposition of this product is adaptability is good. So, this product will be the stable in the market.

The majority of the technical support that we get will be through digitization. If someone wants to go through a digital process automation, this is one of the best tool to adapt it. When compared to other products on the market, the adaptability and usage are very easy. Moreover, getting the resources who are trained in Automation Anywhere, we can get that very easily. As Automation Anywhere is giving this technology for free, as there are no commercials involved, the majority of the skilled workforce are showing a lot of interest. That will be the future of this product.

There are quick user manuals clearly available. We can easily install the product and start working immediately. There are very big eLearning resource contents available. With the help of Automation Anywhere team in India, they are providing a lot, just to support student and faculties in universities. There is a quick learning process with the help of eLearning resources.

This is a one of the best automation tools where we can have quick transformations when compared to other tools available in the market.

The most interesting about this product when compared to the other products on the market: 

1. The resources available.
2. eLearning access is available.
3. The certifications are free of cost.
4. Adaptability is easy.
5. The implementation part is easy.

I can give it an eight out of 10. We need it to add something. It is a little too early, and they are working on that. If they can add more on these things, this will be one of the future leader of the market. While it is already a future leader, it will goes into the next level of the market.

In Concentrix, my role is as an asset manager. It's very much focused on the RPA practice globally, which is why we come from enablement to delivery and support. End-to-end is something that is managed by me.

One thing I really like about Automation Anywhere is the product has actually taken leaps in the last three years. We started with the conventional RPA type of use cases. But, in the last two years, with the help of IQ Bot, and what I learned today about this Attended Automation 2.0, I think they are addressing vital key challenges that we have faced so far. The description on top of the description is what their model is. They're partnering with us in this journey of transformation. The type of technology advancement that they have done will certainly help us a lot.

They are constantly being in the BPO space and BPO and RPA are something which go hand in hand in technology. It is the right space for the utilization of this technology in the industry. While our customers are also asking for us for this technology benefit for the revenue benefit, productivity benefit, efficiency, etc. In the last two years, we have leveraged it for multiple clients, whether for telecom, healthcare or other spaces, it has been a very strong partnership that has really helped us.

RPA is something which was their best product. It was easy to config, easy to record, and deploy on the floor. With their IQ Bot, I am very much convinced that was the area where we started tapping unconventional use cases, like machine learning, artificial intelligence, and all those things bundled together. With this cognitive capability, we went from 30 to 40 percent use cases which we are able to address and have leaped over to a wider space of 50 to 60 percent with this cognitive bot.

There are many things which I have liked in the last couple of months that I have seen in Automation Anywhere. Something that really excites me is the new release of Attended Automation 2.2. It's a very lightweight solution. When I'm talking about the automation of the size from 2,000 to 20,000, and everyone is using the attended bot with this scale and thin client model, we can easily deploy and scale it out to the larger corporate size. So, this product is very unique and I have not seen it in any of Automation Anywhere's competitors. They came out with it.

The product is quite stable. I don't know how to code the the other products which we have used. One thing with the bot that we are always with struggling is the memory management. The Automation Anywhere product is quite stable in that perspective. Security and other things are very well managed by Automation Anywhere. The third piece is the architecture is very much centrally governed. This makes this product more robust.

In the last two years, one thing which Automation Anywhere has changed and they actually worked on is the support and enablement part. That will be the key game changer for them. Because if I compare them with other competitors who are in the space of Automation Anywhere, the customer experience (where we are the customer) is there when you need them. The support is available on time. That is where I think Automation Anywhere is wonderful.

It was very straightforward. I don't know if it was because of the training which was given or if it was because of the application itself, but it was very straightforward to start the journey of RPA using Automation Anywhere. Whether it's a complex use case or low complex use case, I think Automation Anywhere does give you that flexibility that you can start your journey seamlessly.

One thing that we are just changing now: When this automation journey started, everyone was talking about ROI. E.g., I'm investing X amount into the technology, and I'm now trying to cannibalize on efficiency. We are not leveraging automation just for cost reduction. The business is now leveraging automation to get it into this space where we were not able to get so far. So, the dimensions of ROI are not only cost reduction. The dimension of all ROI have been changed to scalability, compliance, some other new business go-to market strategies, etc. Those things are very much changed from the way it was here previously.

This is tricky. We all know who is in the quadrant and the leading there. In the last five years, we actually worked closely with them. Everyone does have their own pluses and minuses. But, if I talk about Automation Anywhere, their cognitive bot is one of their unique selling points.

We are able to sell it very easily compared to its competitors. Another piece is the stability part. The third piece is something which is the customer experience: The ease to work with it. The Automation Anywhere, as a partner, is very easy to work with. They are there when you need them, whether you are in the initial journey of automation, you are figuring out what is the right opportunity, or whether you are in the journey of deploying the bot or support. They are there with you at each of those stages.

These things really make them different compared to their competitors. I'm sure if they will continue focusing on these they will be leading in this space.

So far, it's a 10 (out of 10). If there's anything which will change, I will let you know. But so far, the experience with Automation Anywhere in the last two and a half years has been wonderful. My best wishes to the team.

One thing that we have used it for is uploading reconciliation files. These files usually come in hundreds. Previously, users used to do this work manually everyday. There were around 1,000 users, so that process has been completely automated. Now, these users can focus on more valuable work other than this manual task. This has really helped them.

Apart from this, we also have invoice processing where we are using IQ Bot. For that, even if the invoices are in different formats, the IQ Bot learns, then it works on them. That has helped us a lot.

Apart from the thing which Automation Anywhere is meant for: To automate manual tasks. I feel IQ Bot is the cherry on top, as it has helped us process a lot of unstructured data and it learns over a span of time. So, it has really helped us.

The IQ Bot is the latest feature of Automation Anywhere. It uses cognitive abilities to learn over a span of time, in which we have to train the IQ Bot. It will eventually learn after about 10 files, then it will start learning on its own and it will be able to do the task on its own. 

We use IQ Bot for invoice processing. It can be any type of document. It could be a PDF or any sort of document. It will convert those PDFs into CSV files, which is a structured format. It takes it from an unstructured to structured format. That is why we use IQ Bot.

The Excel command has some limitations. They are working on it. Now, from what I have heard, it has 40 plus commands in the Excel operation, so that is a very good thing. Once that comes up, it would be a 10 out of 10 for Automation Anywhere.

Stability will come down to how the code has been made up. It should definitely handle the code. If anything fails, like the website is not working, it should inform the users. So, it depends on how the code has been developed and it should be able to handle the code if any error comes along. The stability depends on the factor of the developer's coding. Otherwise, the tool is pretty stable.

There have been problems with scalability. It comes down to how we handle the code. It should be handled properly, then there shouldn't be any problems.

Automation Anywhere has very strong game because it is always up for asking feedback. It doesn't just ask for feedback. It actually works upon it. So, every time it releases a new version, we always see that feedback being implemented into their tool. That's a very good thing from Automation Anywhere which I have seen. They actually take the customer's feedback very seriously.

I was working on a workload feature called Workload Management, where I was facing a few issues here and there. For that, I raise a ticket and in the next release it was actually implemented. It was glitch type of thing, and it was handled in the next release.

For evaluating, there is a visibility team which does a visibility check for how the tool should be implemented. I haven't been a part of that.

I wasn't part of the decision-making process since I am the developer. Management sees the tool visibility and checks.

I would give it an eight (out of 10) because there is still scope of improvement which I see in the upcoming tools they have already implemented. I'm still waiting for it. Maybe after that, it could be a 10 (out of 10), but for now it's an eight (out of 10).

We generally do stuff to automate websites and SAP that we have in our company.

It has helped us to save a lot of FTEs for our solutions that we have provided to our companies. Suppose a job which was done by a group of eight to nine people on a daily basis for 24 hours was taking a lot of time, so we created a bot with Automation Anywhere. It was done with a bot working 24/7. It reduced the numbers of guys required to do that process.

The cognitive solutions that it provides.

The feature to automate the use case by simply extracting data, putting it into SAP, and automating the data. This is mostly website based, which is pretty easy for us to work on.

I would like to see some more with the Excel commands that they have. Also, with the cognitive, that is coming up we need to see what else they have, e.g., some SAP features to enhance the product more.

It is moving to a stable version right now. Version 10.5 was more stable and version 11.3 is having some glitches. But, we are moving to a newer version. Let's see what that brings to the table.

Technical support could be much better with the responses which we get. Also, guys come to our company and help us whenever we have some big challenges, so it is quite good. However, it could be done in a better way.

Now, it is a big complex to download the product and install it, then again to install the patches. So, it takes a lot of time to download it. But, the newest version that they are coming out with is web-based so it will be quicker on the cloud. As the CEO said, "Booking an Uber takes more time than downloading Automation Anywhere and even making the first bot."

It has provided us ROI.

It is a bit close, but I feel UiPath has an edge over Automation Anywhere.

I would rate the product a proud seven (out of 10). It could be improved more. With the newest version, we need to check the product. I am giving it a seven (out of 10) as a developer and because I'm using it daily.

When we started Automation Anywhere, it was a rule-based automation. All the rule-based used cases we could automate. Now, with the upcoming version, it includes AI and Python, so we can go ahead in our roadmap and start automating dynamic used cases too.

We started on the 10.5 version of Automation Anywhere. The Control Room had some limitations. With version 11, they removed all those limitations. In version 11, we do not have the Python support or AI machine learning support. But, with the A2019 version, we will have the AI machine learning libraries in the support. So, we can easily use those libraries now.

The main thing is the simple UI, easy to use commands, and it's very easy to learn compared to other tools in the market.

With the upcoming version, they have addressed all the issues of the clients. They have AI and ML. The GUI is good. The cloud has been included. So, it's promising that they have now included these. We have to see how much we can get used to it.

Version 10.5 has been the most stable version that we have used. With version 11, we are still getting some updates, so it will take some time for version 11 to get stable.

It is scalable. In version 11, scalability has a limit, but with the upcoming version, it will be scalable because it is on the cloud now.

AA has good support. Suppose we have any queries, they are there to help us. They have a support portal where we can raise a request and they will immediately reply on the basis of the priority level that they have set. So, it's very good.

If we go through the client setup, its very easy. But, if we are going through the high availability in the IQ Bot setup, it's a bit complex.

We have more than 50 bots in the company. The FTE and ROI are very good. In the future, we have many projects in pipeline that we are about to implement. So, definitely there is a good ROI and FTE savings for us.

I will rate version 10.5 as a nine (out of 10) and version 11 as an eight (out of 10). Let us wait and see about the upcoming version.