Automation Anywhere Reviews

We use Automation Anywhere for our Finance department.

Automation Anywhere is cost-effective.

The ability of Automation Anywhere to provide automation at scale is quite good.

Automation Anywhere integrates well with APIs, RPA bots, and business applications.

Automation Anywhere has helped our organization increase its automation consumption by over 20 percent.

The customization feature should be made more user-friendly in order to enable the use of external reference components.

The technical support has room for improvement.

I have been using Automation Anywhere for three years.

Automation Anywhere is stable.

Automation Anywhere is hardly scalable.

We are a partner of Automation Anywhere and find the pricing to be reasonable. There is an additional cost for using OCR.

We evaluated UiPath, but the cost is higher compared to Automation Anywhere.

I give Automation Anywhere a nine out of ten.

Users of Automation Anywhere should possess programming skills. The learning curve for the solution is straightforward. Training for Automation Anywhere does not exceed two weeks.

If the solution is maintained by the business user, I believe that robot automation processes are better, as they do not require the same skill set.

We use Automation Anywhere in our Finance, Pricing, and Purchasing departments.

Automation Anywhere requires a significant amount of maintenance. The maintenance is performed by me and two of our business partners and requires approximately ten minutes of testing per day to ensure everything is running properly.

Our organization is planning to transition from using Automation Anywhere to Blue Prism Cloud due to our business requirements. I highly recommend Automation Anywhere to other users.

Automation Anywhere is a suitable solution for businesses.

Our primary use cases for Automation Anywhere (AA) are billing, email automation, and ticketing.

Most of the features of Automation Anywhere (AA) are good, but one big feature which I really like is its OCR (optical character recognition) feature.

Another important feature of this solution is how it handles variables, e.g. my engineers don't need to have complete programming expertise, and they don't need to declare variables and get variables captured on the fly.

I also find the accuracy rate of this solution valuable, and I like that it performs better after implementation. Most of the features of this solution are amazing.

Multiple things still need to be improved in Automation Anywhere (AA), and the key thing is its error handling command, though it has come a long way from the previous version. This solution still has a lot to improve on error handling, especially when compared to other platforms that are doing very well.

Another area for improvement is its file handling. Automation Anywhere (AA) now supports automating file-related operations, but that still needs to be improved. We can directly import and do the script, e.g. the script feature is new and is found in the latest version, but still needs a lot of improvement.

An additional feature I'd like to see in this solution is more scripting integration. Integration needs to be fluid, e.g. integration of different items are in the latest version, but it always comes with limitations.

If a more fluid integration can be built into Automation Anywhere (AA), I can go and unpack a project file, open it, then from there, I'll know that we need to extract the data. Currently, the native RPA takes a whole lot of time to open a particular file, then read the data. It's always easier to utilize the data frame, read and slice the data, then take what's next. In that note, we can enable the RPA within itself, e.g. in-house data solution that can be integrated, making it a better solution. There is an integration feature in Automation Anywhere (AA), but it's not that fluid, and it's not easy to integrate. We always have to build something outside and integrate the whole process, and this needs to be improved.

I have experience with Automation Anywhere (AA) within the last 12 months, and I've been leading projects in a product manager capacity. I've worked with this solution for three years, using the previous generation and the latest generation, e.g. the 2019 version. I handled the implementation of the previous version and the transition and migration to the 2019 network.

Automation Anywhere (AA) has a lot of stability issues. It needs a lot of maintenance. If it runs 24/7 in the server, it's fine, but on the development machines or the VM (virtual machines), it isn't. We really need someone to attend to it, e.g. that person has to monitor the VM, then if an issue starts from the control room, we need to identify what's going on, then we may need to do something to the machine, or to the application. This is a problem in the previous version and the current version, and this solution hangs at times, for no reason at all.

Automation Anywhere (AA) is scalable, but we have not tried to scale it to a larger instance. The implementations we currently have are on-premises, and our costs are limited. We test if this solution works fine for the demos with clients we have worked with, but on the production side, we haven't tried to scale it for more than 20 or 30, and that's the limit we have.

I've contacted and escalated to the technical support team for this solution multiple times. I would rate them 3.5 out of five. They are quick to give support, but it could vary. Their second level technical support are good, but their first level technical support require a lot more insight into the tool and how they're handling issues.

The initial setup for Automation Anywhere (AA) was straightforward, but the current deployments we are working on are a bit complicated because these are switch solutions, and they are not straightforward.

We have multiple systems communicating with each other, e.g. the SaaS systems we need to interface with, then we have other data that we need to introduce to these systems. Because Automation Anywhere (AA) is an on-premises platform, we are looking into whether implementing or deploying it will be safe, but I believe it is safe. In most cases, when it comes to switch solutions where you want to switch your RPA on top of other automation or other technologies, it can be complicated, depending on the technology you're with. It can be complicated when you want to integrate with other systems.

We're paying for a yearly package for Automation Anywhere (AA). It's not a standard license. It's a license package, e.g. it comes with the fee for automation, or the license for the product, and anything beyond that, we pay a base fee, and whether we utilize it or not, it's paid for, and it has to be allocated. That's the current deal we have. What would be better is for them to have different packages for different types of organization.

As Automation Anywhere (AA) is an RPA platform, we have development users and end users, e.g. we have 14 developers who are working on it, and they are direct developers, then we have six citizen developers from the business side, who are certified and are using this product.

Automation Anywhere (AA) always requires maintenance, so we always need maintenance engineers to monitor the application around the clock. Because of cost implications, most clients don't use cloud solution assets, e.g. they use on-premises, which means a lot of maintenance is required.

My advice for people who want to start working with Automation Anywhere (AA) is to get a certification first, and then they also need to determine their purpose, e.g. what kind of case they want to work with. When their certification is ready, they still need to keep learning, especially when they run into issues. They should always get in touch with the forum, or they should get whatever knowledge or information they can take from their certifiers, or whatever organization they got their certification from. There is a learning curve, and it can either be quick to learn, or hard to learn.

I would rate Automation Anywhere (AA) an eight out of ten.

We serve different clients of ours helping them streamline or ease out with their day-to-day activities. There is a team who identifies which activities can be automated end-to-end. They prepare a proposal sheet, which comes to us, and we do the feasibility of it: How much of that activity can be automated. Then, we proceed from there.

Currently, in our production environment, we are using Automation Anywhere version 11.3.1. In a beta test version, we are also evaluating the latest version, which is 11.3.2.

Previously, we had to input a password to a particular tool for the user to login. The only option was through encrypted keystrokes, and if I uncheck the password, I can see it. Now, they have a credential vault, which is 256-bit encrypted. That is the highest security that can be provided when it comes to credential maintenance. That's a day and night difference. With a credential vault, other than the user who is entering the password, no one else knows what the password is. This also helps when convincing the clients. 

The most advanced feature in the current version is the security. Previously, the whole thing was like a software installation. Nowadays, it is more of a URL and credential vault. Everything is taken care of by a centralized tool, a Control Room, which is only accessible through the URL. I really like this feature. I hear that in the upcoming version that everything will be cloud-based. So, I'm really excited to see that type of an infrastructure.

As a developer or user, I feel that the performance of the overall package could be made a little better or reliable. For example, if I'm opening up a heavy Excel file, which is uploaded in some shared drive over the net, and I have my box coded to open that Excel to do some work or formatting on it, and depending on the network load and the size of the file, this client version while trying to access that file becomes unstable at times. It goes into the hang position until a human being comes in, ends the task, and restarts it. Until this happens, it does not respond. 

In version A2019, it's moving from a software installation infrastructure to a cloud-based infrastructure. I am hoping that the end-to-end deployment from conception to coding to production will be much faster than it is right now. That really excites me as this is a feature that I suggested to tech support.

I've been using this tool since 2014.

I would definitely like to see an improvement in how it handles the system resource crunch and how it takes care of the pressure. That would be really nice to see.

Over the years, I have seen the solution really change. I have seen the differences that come with the subsequent releases.

It is definitely scalable. It is very flexible when it comes to scalability. I have had projects in which the total benefit was about 12 FTEs across the globe. We would start off with 0.5 FTEs when we went into live production. Then, we started onboarding other countries or regions, and getting roles onboarded was pretty much seamless. Scaling up is a good thing that Automation Anywhere has for it.

I use Automation Anywhere's tech support every day. They are awesome. Whenever I have certain ideas, I always drop them an email. Then, six or eight months down the line, I see those releases coming in which makes me feel proud. 

The engineering team works on our suggestions and provides us with a patch or upgrade, which is nice to see.

Back in 2014 (at my previous organization), I wouldn't say the initial setup was smooth. There were a few roadblocks. Both Automation Anywhere and my previous organization worked on them. Eventually, everything got sorted out. Nowadays, everything is much better than what I saw back then.

We deployed in-house.

I have not see ROI in my current organization. However, I did see ROI in my previous organization.

In the initial year after deployment, you won't see return on investment. Eventually, when your bot is more stabilized and your processes are streamlined, in the one and half years to two years window, you will start seeing return on investment. The FTE cost is definitely higher than the license cost of each bot. If your program has been thought through, then one bot can be used to do the work of approximately two human beings worth of labor. That is where the benefit is, which will start from the second year onward. 

Approximately, for a developer, it is around $750 for a license a year. For Bot Runners, it is about $550.

Automation Anywhere is unlike any other software. Automation Anywhere provides me with my bread and butter. I just love the tool.

Understand what projects or automation projects that you have on hand. Every clients setup demands a different set of tools which can be used for automation. Automation Anywhere does try to cover all environments, though. However, there are a few other tools in the market specifically built for specific infrastructures. First, study your requirements. Then, based on those, go ahead and decide on what tool you want to use.

Automation Anywhere Enterprise RPA was used in conjunction with Automation Anywhere IQ Bot and Automation Anywhere Bot Insights to reduce the time taken to process a mortgage application by automatically verifying the applicants, the address, title, and scheduling a settlement meeting. The automation solution extracted information from or entered data into more than six applications including four major bank web applications. The environment included a Control Room server, an IQ Bot server, a bot runner machine, all running windows server 2012.

Automation Anywhere is stellar and the pre-built bots on the bot store help reduce the development time and effort. The IQ Bot solution can read from scanned images and documents which has hugely benefited the mortgage processing team.

The professional services team at Automation Anywhere helped in designing and architecting the solution effectively and their modular approach to the solution meant, the solution could be tested for user acceptance in stages. It helped the team provide early feedback and suggest changes to optimize the automation solution.

There are several valuable features : 

(1) Validate the data extracted from digital and scanned documents.

(2) Schedule the bots to run at specified intervals and report on the execution status.

(3) Ability to resume automation from intermediate states in case of exceptions.

(4) Ability to introduce human in loop for making decisions without requiring the mortgage application to be started again.

(5) Reporting on straight through processing, exceptions and failure.

(6) Business user friendly interface, easy-to-learn tools and availability of on-demand training for free.

There are some areas that the product can be improved : 

(1) Better exception handling mechanism.

(2) Parallel processing of branches to improve execution time.

(3) IQ Bot: An easier way to tag the document's source after extracting information from the document. (Which group does the document or a transaction belong to).

(4) Better integration with external data sources for Bot Insights.

(5) Advocating and encouraging use of queues and device pools by providing implementation details with success rate and support from services for the same.

I have been using AA for 1.5 years.

V11 is very stable. 

A2019's stability is yet to be determined but most usecases would not have any trouble being automated in A2019. It is more robust in terms of feature availability and bot code maintenance.

Highly Scalable.

Stellar.

We used UiPath and Kofax Kapow.

Not quite straightforward. Required support from Automation Anywhere Support team but that was made available at no cost.

Vendor team and Automation Anywhere's Professional Services.

>80%

Calculate the IQ Bot page count and usage.

Factor in the development as well as training time required for IQ Bot training and validation. The effort is easily underestimated.

We evaluated UiPath but Automation Anywhere's IQ Bot solution was the only fit for our use case at that moment. (UiPath was yet to unveil their "Document Understanding" product suite).

The learning curve is less steeper compared to other automation products in the market. 

We did the PoC in 2016. It was mainly in the services process. We were more focused on the company billings, where there were multiple subprocesses and sub business units. We have did the complete landscape of more than 15,000 FTEs. We are talking around 153 different work types. As the main lead, I was to provide the real-time support to the customers who needs us to fill out required details. That was a completely repetitive task. We decided to conduct a PoC on that, which we did.

If we talk about the automation RPA. it definitely has worked very well for us. I'm talking about giving good savings, about more than 180 FTE savings, after implementing more than 200 plus bots. It has worked well. As an organization, it has supported us very well, and also for our customers.

Our task was very repetitive in nature. We had to fill information from Excel to some application. That was quite repetitive and the volume was also very high. Initially, we did the PoC from that process, which was easy to implement. Because it was a first for us, it was very easy to implement. That has provided good savings for us, where we have implemented 13 bots with the reduction of 16 FTEs.

There were also some tasks where we needed a cognitive approach or an OCR solution. There were some scanned documents in a PDF format. We were in the initial stages and struggled at that time. I'm talking about in 2018. We struggled to get them into the structure format.

In the current stage, there are lots of opportunities in terms of claims, insurance, and banking where we need AI and cognitive solutions to automate unstructured documents. That is a need of ours. Automation Anywhere should improve in this field so they can provide support for artificial intelligence and cognitive solutions.

Initial days, we struggled. When we started the automation for six weeks, the solution design was put on hold because of the system capability. But, they provided us good support and upgraded their systems, and now, it works smoothly.

If you ask me to rate the technical support from one to five, I will rate them a four. I will say that the technical support is good. If it is required that they provide their resources, they will send their resources to your organization to support you in terms of development and technical support. 

I have experience with UiPath too. If we talk about Automation Anywhere and UiPath, it's a completely different experience. Our work now is more for the claims and payroll processes where thought and human intervention are involved to process transactions.

This is now a completely different experience. Initially, it was a very repetitive task. Now, manual intervention is required. We have to go and read through documents. We have to read through histories. In terms of that, I can rate equally Automation Anywhere and UiPath. However, if we talk about artificial intelligence in 2019 and what Automation Anywhere is coming out with, it is great then.

The initial setup was not that great. The road was very up and down. We struggled. A lot of the features were not compatible with applications which we are using. That was the reason. This was the initial days, we are talking about 2016 to 2017. The buzz was not as much as we are having now. 

From that time until now, Automation Anywhere has upgraded their systems. They are at a good pace now. But, at the initial stage, we struggled in terms of getting things sorted. We also needed support, so the Automation Anywhere team sent some support to us who helped the developers in terms of coding and finding solutions.

Some of the features were not very well identified at that time. The Automation Anywhere team provided the support for that. Initially, it was like a rollercoaster for us.

If we talk about time, normally bots take more time than users. The benefit is the bots can work 24/7, if your application supports. With the solutions that we have now, we can have attended and unattended bots.

There are savings in terms of ROI, but It's not only about savings. It's about the customer experience nowadays. If we talk about the customer experience, your experience will be improved. There will be a lot of reversals which happen when you are processing transactions manually. When you are implementing the RPA, you eliminate those reversals. You deliver the product right the first time. That is more important in terms of keeping your organization having consistent growth. That is a very important thing. 

You will see savings, not in the same year, but in the coming years. In two to three years, you will definitely save money.

Automation Anywhere works very well. When you have a large number of accounts, have to automate, and the task that is repetitive, you can use Automation Anywhere. The features work very well.

I will rate it an eight (out of 10). We had that experience where we struggled to have the structured format of scanned documents and PDF formats. There, we struggled a lot. That is the reason for the rating. The rest, I think is perfect. The services are fine. Automation Anywhere services are good. It is easy to implement. The best thing: It's simple and easy to implement.

We are planning to introduce a bot for every employee in the organization. There are around 9,000 employees in our organization. We are trying to introduce a bot for each one. That's our use case currently. We are working on how to improve their day in, day out life, how to make them work efficiently, removing repetitive tasks from day-to-day work, and give them important tasks/solutions that they are supposed to work for.

A valuable feature of Automation Anywhere for my needs is IQ Bot because it covers most of the semi-structured and structure data. That's where we are struggling a lot. So, IQ Bot is a very good solution to know and bring onboard for the automation of unstructured and semi-structured data.

Another valuable feature in Automation Anywhere is the analytics, like what data is coming, the process, and the number of times it's processed. That information is very powerful in Automation Anywhere.

I am looking for artificial intelligence and machine learning. I hope that they introduce them in A2019. I'm looking forward to what will be there in A2019 because that's the area that we need to go forward. We are looking for Automation Anywhere to put up their efforts to make it easier by incorporating artificial intelligence and machine learning. Along with RPA, this would make our automation journey very easy. We can bring more processes into automation, that's where I am looking for automation to focus on.

It's a very stable, reliable product. We know a lot of use cases for customers that are running successfully. It's a pretty good product and very stable.

It's scalable. The analytics are very powerful. We can give the customer what has happened with the bot, how much time it ran, and how much time is ideal. All this information, we can easily show how successful it is, how much our productivity it is giving to them, and what ROI they're getting at the end of the year. It's pretty easy to go with Automation Anywhere.

We get a lot of support from Automation Anywhere. For any issue, we just call the people, and they're ready to be there. They send up people to our organization to set up and resolve issues. Any sort of glitches which we are facing, we can contact them anytime. They're ready to give us a solution. They even send up people to our premises to look and give the solution for us.

It is very straightforward and easy to install. They are going to introduce version A2019 online without a need to to install. There will be just one click of the URL to start developing within a minute or two, and it will start. There's nothing easier than that.

Money-wise, we get a lot of ROI. Efficiency-wise, it removes all the repetitive tasks from a person. An engineer's job is not to enter the data, check the Excel everyday, and put the data from Excel to somewhere application. If you automate the process and let Automation Anywheret do it everyday, you have a lot of time for more complicated issues. Engineers are meant to resolve issues, not doing the repetitive tasks, like Excel. Efficiency-wise, it is very good. ROI, It's also pretty good.

I can give a 10 (out of 10). It's a perfect product. It's made my life very easy and a lot of people's lives very easy. It removed a lot of people's hectic, repetitive, boring work. You give a lot of free time to people, so they can do some other work which they really want to do. It's a very good product.

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.