Automation Anywhere Reviews

Initially, when we started, we were using it for back-office automation. The solution has definitely evolved. We're focusing on implementing customer and experience-facing use cases. Time is the most valuable piece, and that's how we measure the success of automation now. 

The solution is helping our customers save time. 

We were trying to solve a few different challenges with Automation Anywhere. For example, during the pandemic, gaining bandwidth was huge. Hiring while shifting to remote was challenging. There was such an accelerated use of the technology during the pandemic. Having to integrate with existing and older systems was key. That flexibility to work with other applications and other aspects of the platform really drove our decision to adopt more and more of the solution.

We've noticed time savings. The time saving varies. We look at how much value the customer gets. We've noticed time savings of up to 40 minutes, based on wait time and verification delays. Sometimes, we might only be saving a minute or slightly less. However, this is a slightly higher volume scenario where something needs to get done by the end of the day. It offers a broad range of time savings. For example, if someone calls in for the healthcare side to get benefits verified. Typically, that would take 45 minutes in terms of gathering information and validating information and prep work both before and after. Now, we can do that autonomously in a matter of minutes. 

Within the processes of automation, robots learn differently than humans. They are very interactive and literal. Diving into that tribal knowledge that makes an organization unique was really what we had to do differently. For example, if you tell someone, "Go check your email," they know what that means. With a robot, you have to translate that action into a specific language, and that was the challenging part from the process side.

Copilot is great at bringing agents and humans into the loop. Creating that AI assistant that can almost tell someone the next step, that suggested intelligence, is helpful. Getting the data an organization has over to a customer very quickly is effective with Copilot. Simple queries that may take 15-20 seconds to answer, you still have to, for example, to find the number, make the call, et cetera, and suddenly that 20 seconds if two minutes longer. Having that information ready in a conversational way is where generative AI can really help compress time. 

There's a lot of human involvement in the workflow. Automation Anywhere does a fabulous job of integrating users into the workflow. That's important. You wouldn't be able to automate with just the technology. Teaching users to interact in a relatable way with relatable interfaces has had a big impact on the business users' side.

Understanding the technology is very easy based on the way it is positioned. There are a lot of great resources out there. 

How much time it takes to get comfortable using the automation process varies. You need to gain the knowledge of understanding ways to do things, then have the practical knowledge of how to apply; then, there's a third piece of constantly improving, monitoring, mentoring, and iterating. That piece is ongoing. 

Copilot is helpful for pure-play back-office stuff. From the call center side, it's integrated and becomes available as an option as well. Any document processing is great for Copilot. 

With the new enhancements, it's very easy to integrate. It integrates well with infrastructure solutions and testing products, as well as data and analytics.

The integration with workflows has only been enhanced over time. 

In terms of document processes, there is some uncertainty between structured and unstructured. However, the intelligence applied cut down time by 50% or more. That's in time to do the work, not necessarily accuracy.

In terms of APIs and applications, when automation first came out, they shunned APIs. That was a challenge due to the fact that, when you sold it to an organization, they asked why it would be done a certain way when they already had an API. Now, it's making it easier to use solutions. You can bring in your tool kit and create synergy.

Copilot has helped us increase productivity. It's a new feature, so it's hard to quantify. I do see the established value increasing exponentially. 

The product has helped us free up staff time. The biggest thing we measure is experience. If it's moving towards higher-value projects, it's great. However, so is going home and not taking work home with you.

If we look at the concept of bringing automation to a broader user group in an organization, the focus right now is on how to build it properly. We're building it out with instruction manuals and working to make it more user-friendly. We need to do a lot of work from the perspective of education. The messaging is essential. Also, figuring out the platform so that users know where they need to interact. We're pointing users towards that and giving them the help to do that. The messaging and education around how to leverage the platform need to be more precise. Understanding what the benefits are going to be needs to be very clear. 

When you are implementing it initially, it's challenging as there's a lot of change management. That's where the lessons need to be learned. That curve is hard to overcome.

There are more challenging integrations that should be left to more expert users. 

We've been using the solution since 2015. It's been about eight years now.

Technical support is good. You don't have to reach out to them very often. The new layers are great. The services you get alongside the solution are helpful, and combining that with bug fixes, et cetera, makes it fit for purpose for all uses. 

Positive

I'm familiar with other options. The difference is the people side of things. The team outside of the technology, the people putting it together, is what makes the solution itself better. 

It's important that Automation Anywhere is easy to use. There's an intimidation factor when you present people with a massive ecosystem. It's practical and fit for purpose from the outset, yet very flexible and versatile. 

I was involved in the initial setup. 

If you start out pretty simple, the challenges that cause delays are more from change management and security and clearance. That's outside of the platform itself. That takes 80% of the time.

You can stand it up in a couple of days, however, it can sometimes take a month for reasons outside of the platform.

You can get things going within a week, which you can iterate on pretty quickly. 

Maintenance depends on usage. There are tools where you can build automation to provide alerts. You need someone who's at least slightly dedicated to that. Once you get bigger, you'll need a dedicated team, and then you have to figure out how to prioritize your time, in terms of evangelizing it, making more automation, et cetera. 

The pricing is okay. We've established the value of bringing it into our organization. For scaling, you can't beat the price of adding a robot that provides basically unlimited scale. 

Our strategy when it comes to automation and AI (and generative AI) right now, as with any technology, there's a lot of buzz. Historically, we've had periods of punctuated innovation, like automation in general, that was a real change in how organizations did business. Right now, we're seeing an iteration of that with generative AI. We have the foundation down with these platforms. Our strategy is the same: understand the technology from the people's side. We're the ones using the technology. You can't blame a piece of technology - it's still on us. We need to establish it. At the end of the day, we need to own it. Technology isn't a silver bullet. However, if we approach it right, we'll have all the success in the world.

I'd rate the solution nine out of ten. 

We use Automation Anywhere for web scraping, PDF automation, Excel automation, and API automation.

The most valuable features of Automation Anywhere are Excel, periods, database, and email action.

Automation Anywhere should improve its OCR capabilities.

I would like to see more communication between other technologies. We can directly implement some coding scripts. We already have Python, JavaScript, and VBA, but having some programming languages like Java and dot Net would be great.

I have been using Automation Anywhere for five years.

Automation Anywhere is a stable solution.

Automation Anywhere is a scalable solution.

Our company has different teams, and more than 500 users are using Automation Anywhere in our organization. More than 20 administrators use the solution.

The solution's technical support team gives you different solutions. Some solutions work, but others seem irrelevant. It would help our organization if they gave accurate solutions instead of tentative solutions. They have to improve the speed of their response time.

Positive

The solution's initial setup is easy and not very complex.

We develop the bot, test it on our local environment, and then take it to UAT and production. For simple usage, the solution's deployment may take around 30 days. We implement the solution through an in-house team.

We need only one resource for the solution's deployment. When everything looks good after the testing and peer review, we deploy the bot into production.

Automation Anywhere is easy to learn. I'm also looking at UiPath, but I'm not finding time to explore that RPA tool. Automation Anywhere is a hybrid tool, which we can see in the code view as well as in the flow chart view. On the other hand, UiPath has only flowchart diagrams. UiPath is ruling the RPA industry, but Automation Anywhere is next to UiPath. It would be great if Automation Anywhere had all the capabilities that are present in UiPath.

People who don't have technical experience can learn to use Automation Anywhere quickly because it's easily understandable. They can easily build bots by going through the documentation and videos in Automation Anywhere University. Normally, business users will run the bots and know the functionality, but if they want to learn Automation Anywhere, they can easily learn it in a couple of days.

Currently, we have more than 10 bots in production and more than 20 bots under testing.

If anyone wants to use Automation Anywhere, I won't say it is a 100% perfect automation tool because it depends on the developer and logic. Users may sometimes face hiccups in running end-to-end automation. There are chances of the bot getting hampered while working on some websites.

Automation Anywhere fails to load some objects for some old technologies or websites. It would be helpful if the solution could read every technology and clone every object on the website, even for legacy technologies.

Overall, I rate Automation Anywhere an eight out of ten.

We typically use Automation Anywhere for backend operations and financial processes, such as APR.

The biggest benefit of Automation Anywhere is that it makes our processes error-free. Accuracy is how you build efficiency within the system and increase productivity.

Document Automation, one of Automation Anywhere's core features, is excellent. All the other features are also useful, and their cloud solution is pretty seamless. 

Automation Anywhere is relatively accessible to non-technical business users. It's about 60:40. Around 60 percent of the solution is intuitive, but you still need to do some work to learn the platform. The company offers strong learning resources. Most people can easily learn Automation Anywhere in a couple of months using tutorials.  

Automation Anywhere works with POST and REST APIs, so it's easy to integrate with any platform or application. Automation Anywhere is applicable to any industry or department where there are large volumes of processes that are straightforward and require no manual human intervention. 

I have used Automation Anywhere for nearly four years.

I rate Automation Anywhere 10 out of 10 for stability. 

I rate Automation Anywhere 10 out of 10 for scalability. We usually optimize one or two processes until we can achieve an ROI and scale them up for the entire organization.

I rate Automation Anywhere support 10 out of 10. They have a solid team to address any issues or glitches as they arise. 

Positive

We typically deploy to Automation Anywhere's public cloud. We haven't used the private cloud option because it's expensive. I'm the project delivery manager, so I was involved in the deployment. It doesn't require any infrastructure because it's in the cloud. 

The deployment time depends on the complexity of the processes. Simple processes can be configured in a couple of weeks, but complex projects might take up to three months. 

The number of people involved also depends on the client's needs and the licenses purchased. You need a developer license for each engineer. Automation Anywhere licensing is based on the individual users, not the partners. For example, let's say a project will take one engineer three months, but the client wants it done in 45 days. You would need to double the number of engineers and pay for an additional license. 

Automation solutions require some maintenance and change management because no process remains constant. You will need to update and optimize the bot as the process mechanism changes. 

We have seen an ROI. It's hard to give a solid metric because every organization has a different way of calculating it and it varies between processes. However, I can say that Automation Anywhere reduces costs while increasing productivity and accuracy. By automating repetitive tasks, we can shift our human employees to more productive work that requires imagination and creativity. 

Automation Anywhere is expensive. They should consider lowering the price to make Automation Anywhere more affordable to SMEs, which comprise a huge segment. The license is annual, not monthly. You need to pay for some of the advanced features, such as document automation, which doesn't come with the base package.

I rate Automation Anywhere nine out of 10. RPA can be integrated with API and integrated on top of any application. However, it's always better to go with API if you have that option. It's steadier, more scalable, and more robust. The best part about RPA is you can create a hybrid model, so you can use API when available or RPA when that isn't the case. 

We use Automation Anywhere to automate our processes. The company has three bot creators and one bot runner, but there are other users triggering the bots in various ways. I don't have a precise number of end-users, but it's around 20 people. 

The solution's primary benefit is improved efficiency. Automation Anywhere enabled us to enhance many processes that were previously done manually. It helps save time while improving compliance by keeping the data clean. We've also increased visibility for our end-users because we use the data from Automation Anywhere to build dashboards. 

Each process might take one or two hours manually, but we can complete the same processes in a few minutes. It frees our employees to focus on other things, such as training and building new skills. It took about three weeks to fully realize the benefits because we had to adjust the processes. 

The API integration has been helpful. There are no errors, and it performs much faster than any object clone or anything like that. My overall experience with API integration is positive. I use Power Automate for documents and OCR, but I haven't used Automation Anywhere for this purpose. It saves time if we use the APIs more than just the RPA bots, and it reduces the number of errors. Overall, our automation consumption has increased by about 70 percent. 

I've had a generally positive experience with Automation Anywhere. The solution has improved significantly in the latest version. They've added some handy Excel actions that have saved me a lot of time as a developer. Object cloning has been enhanced, so our automated processes are more stable and have fewer errors. 

Automation Anywhere is accessible to users without technical knowledge. However, you need to learn some basic programming skills to go from conceptualizing a business use case to realizing an automated process. Breaking down a process step by step requires some rudimentary programming and problem-solving skills. Most of it is drag-and-drop, but you need to understand programming logic. 

I had some programming skills before I started, so it wasn't difficult for me to learn. It took me about two weeks to get comfortable using the software. There are lots of resources online, so I could easily Google information whenever I got stuck on something.

I haven't tried training any non-technical users. When I started at this company, we all underwent the same training. The employees' skills and backgrounds varied. I have more of a technical background, and another colleague had taken some programming courses previously. Others had backgrounds in finance, operations, marketing, etc. All of those people took seven days of training, but they aren't doing anything with Automation Anywhere. They're business users, not developers. Non-technical people need at least a couple of weeks to learn the solution. 

We've struggled with some of the new features Automation Anywhere added in the latest version. For example, they added a new OpenAI package, but it took a while for me to find it in the actions menu.

It would be helpful if the company communicated more about new features or created some built-in instructions within the platform. I feel like we aren't fully utilizing the latest features. They could add some links to tutorials or provide some training to walk us through the new features.

I've been using Automation Anywhere for three years.

The stability has improved significantly in the latest version. 

I rate Automation Anywhere eight out of 10 for scalability. The scalability is excellent because we have subtasks and bots that we can reuse to scale up other customers. We can build templates and customize them for various clients' needs. We can also combine sub-tasks and templates to build bigger bots. 

I rate Automation Anywhere seven out of 10 for support. We had a customer service rep who was supposed to help us with issues when they arise, but we had a bad experience, so we started going through the ticketing system, which has worked out well. 

Neutral

I was using the online version of Power Automate to try it out for a week or two. 

I rate Automation Anywhere eight out of 10. I recommend getting some training before using Automation Anywhere. Try to automate as many processes as you can to understand appropriate use cases. You must learn to translate a business requirement into a bot's coding. Learn as much as you can about all the features. It's sometimes hard to keep up with the latest updates. 

My biggest lesson has been the importance of persistence. You have to keep trying to improve the processes because there are often better ways to do something and multiple approaches you can adopt. You need to occasionally revisit processes you've already automated and consider ways to improve them. Initially, I would automate a process and move on, but you sometimes need to optimize the process first. 

We mostly use it on engineering processes. We also use it for finances in SAP — uploading, invoice creation, etc. But we have mostly focused on our engineering processes.

An example from the finance area is when we need to invoice a customer. We open our SAP account and upload all the data into SAP, create an invoice, and send a notice to the finance team that the process has been completed. They then move the process further along. It's a daily type of operation, whenever such requests come.

We are using the on-premise version because the cloud version (A2019) is not out yet.

One of the ways it has improved our organization is regarding working on Saturdays and Sundays. Obviously, employees don't like to come in on those days. When a user is not there and we want certain processes to be done, we don't expect the engineers to sit there and do them. We can schedule things via email so a bot runs on Saturdays and Sundays. That results in a reduction of man-hours. 

It automates all the processes which do not require human intervention, things which are very repetitive. That means we can give more important work to the engineers now, rather than asking them to do repetitive tasks.

We have these invoices which gets generated every month. We have to enter these invoice details into the stacks. It is a tedious task that is done by our finance team. We have automated the process of entering the details into the stack, and t reduces a lot of manual work.

The best feature of AA is the scheduling and the triggering part of it. Whenever an email comes in we can just use Automation Anywhere. We don't have to sit there. The unattended bots of Automation Anywhere are something which we find very useful.

It does not require much onboarding skills. It's easy to train anyone. We just ask them to apply logic.

One very important thing would be more support for Citrix automation. We want something to support Cisco. Citrix automation is not a very good tool. We are not able to use it properly. Even if we go through a remote desktop connection, it goes along only with the keystrokes and image recognition.

Also, when we are moving from one version to another version, it's very difficult because most of the features stop working. They should first test everything and then release the new version. For example, there's a system variable known as the Excel Cell Row. It gives you the current row of the inner loop. When going from version 11.1 to 11.3, this variable was suddenly not supported, and most of our bots were dependent on that. Everything went down and we had to start from scratch. If you do not have a developer who has done this, it's going to be a big problem in terms of the time it will take.

We need the migration from version 11 to A2019 to go smoothly. Our developers cannot be expected to enter the code again.

I'm not sure about the stability because there are a lot of upgrades all the time. Whenever we move from version to version, like 11.1 to 11.3, if we have ten bots we have to go around and test all ten bots. And in case something is not working, we have to make changes. If they support a migration utility properly, I think it's a great tool.

The scalability is great. Nearly a 100 bots have been deployed in finance, HR, and mostly engineering. We will be implementing bots going forward in procurement.

It has taken us two years to scale to our current number of bots because we spent a lot of time on training at first.

Technical support from Automation Anywhere is great. I have written to Automation Anywhere support many times and there is a great response from them. Even if they do not have the exact answer, they always say, "You can try this option or you can try this option."

We started with Automation Anywhere. The biggest reason our company chose Automation Anywhere was because we found it more reliable for our operations than any other. Also, the response from Automation Anywhere is really good.

We started with version 10.7. When we started, initially downloading the Control Room and those types of things was a bit complex. We had the user manual, but I don't think it's very good. It misses many points. When we missed something, we needed to contact Automation Anywhere support, so there were some delays in the process. 

Then we moved to version 11.1, which was more complex and requires more of your system space.

Overall, the other process is a bit complex. They have said they're coming out with the cloud version. I think that will be a bit easier. 

The development process took us about six months.

We have a team in our company which is responsible for RPA. It's something which we do internally for our company.

There has been a great return on investment. We are interested in saving manual engineer man-hours. So far, we have saved $100,000.

We also evaluated UiPath and Blue Prism. We chose Automation Anywhere because of how well it suited it our office.

Automation Anywhere is easier to use. With drag and drop, we don't need the uploading skills, etc. Everything is just there. You can just drag and drop, then just go ahead and do it. With UiPath, it was a little difficult to understand the process. Also Automation Anywhere has email automation.

I would rate the solution at seven out of ten. One main drawback is that migration issue. Another thing I would like to see is support for all the other scripting languages, like Python, JavaScript and all.

Go through the Automation Anywhere courses properly to be aware of all the system variables and all the features it has. Then proceed with the development phase. Until you're clear on the basic things you cannot do anything in the tool. You need to know those things.

I have done the Masters course on Automation Anywhere University. I have a Masters Certification from them. Their courses are pretty interesting. At the end of the Masters course, we had an interview on the course itself. There were a lot of informative things and it was a great experience.

Next year, we should be moving into cognitive document processing.

The primary use case is data extraction: How to extract the data and run the components alongside it.

I have been using version 11 Community Edition, which is good. After coming to Bangalore and this morning session, they showed an example of A2019, which is the latest version. That is a game changer. What we did not have in the previous version has included in this version. I had a little preview of all the changes, and I'm pretty impressed by it.

Automation Anywhere has a Bot Store. E.g., you can download the bot from the Bot Store and utilize it's data extraction capabilities. You can extract unstructured data through IQ Bot. Getting unstructured data is not difficult. I once obtained an 84 page PDF file using an IQ Bot. This was just the trial version, and it was really good. I was able to get all the circuit IDs and properties that wanted in a simple CSV format. I had not seen anything like this before. When compared to other platforms, such as UiPath, they don't have these capabilities right now. They have activities like PDF extraction, but that's not good enough. That is a reason I'm referring Automation Anywhere as a game changer.

I would like more cognitive abilities, artificial intelligence, and machine learning. E.g., if I see you, your facial recognition has to be there. If I send your picture, it should tell me your name, where you are from, and when I met you because we forget people. It should have these type of capabilities. 

Stability is a key factor. It is pretty stable. After they launch the cloud version, whether you are in my country or I'm in your country, it won't matter. You can access it anywhere. You won't need a version to download or install. 

Right now, I have it on my laptop, but when it is on the cloud, it will be more stable. Anybody will be able to access it. That's the beauty of it.

The scalability is pretty impressive. You can scale it from one computer to hundreds of computers. You don't even need Citrix. Once it is on the cloud, you can access it from anywhere. 

Automation Anywhere technical support is pretty good. I would rate them as an eight out of 10. I'm giving them an eight out of 10 because this community is still developing right now. I will not say it's fully developed. We are in a market where other contenders are also there. It is a very neck and neck competition between UiPath, Blue Prism. and Automation Anywhere. Between them, somebody is good at some things, and somebody is good at others. That is why I cannot give the support a 10 out of 10. However, because of this product's features, I would rate Automation Anywhere as a 10 out of 10.

My sales team did the decision-making. We are in negotiations for some other clients, as well.

Our previous programs have run successfully with it.

I've used UiPath as a developer. Now, I'm using Automation Anywhere as well. When I compare both, the biggest point is cognitive abilities. The IQ Bot is the best in class. You won't find that even in UiPath. 

All the available versions of competing automation tools are available, UiPath or Automation Anywhere. Download them and think about it, then decide for yourself. 

Cost cutting is the primary reason to look at getting an RPA solution. Humans are not intended to do just manual work. If I give that manual work of 14 minutes, 30 minutes. or one hour to some bot, and it can do the work without any problems. That time is now yours, and you can do something else. You can build relationships, you can have a friendship with somebody, or you can do something nice. This is what we humans were intended to do.

I'm certified in a UiPath, and now I'm going to gain my certification in Automation Anywhere.

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 use Automation Anywhere for all R2R processes, including reconciliations, journal entries, and fixed assets. Our systems are set up in a way that requires a lot of manual processes. We redesigned the processes so that we could move to some rule-based ways of working. Then, wherever we could make it rule-based, we implemented RPA.

The benefit of using Automation Anywhere is the efficiency of operations and speed. Humans cannot work 24/7 on a task, but a machine can work continuously on it. The solution saved us a lot of time on various processes. We needed fewer people to work on those processes, which resulted in cost savings. For every one bot, we were able to save the effort of one and a half STE.

There should be a way to avoid recoding everything whenever there's an upgrade to the latest version. A lot of finance applications do not support Automation Anywhere. Many ERPs and finance tools do not talk to Automation Anywhere directly. If there are any updates or changes on the UI, you have to recode everything, which used to be a big concern area.

I have been using Automation Anywhere for seven to eight years.

We faced challenges while implementing the solution because we were probably among the first to do it in the R2R space. However, we were able to work through and overcome those challenges.

We have seen a return on investment with Automation Anywhere.

The solution's pricing is pretty decent. We get good rates since we work with platinum partners.

We have a development team, and our business users do not do the coding. I think it depends on how simplified your design is. We try to make things quite dynamic. If there is a matrix behind the automation that defines the rules, then the business users will handle that matrix.

However, the technical team will handle the coding of how that will translate into an RPA automation. We focus on the design to ensure that it doesn't get stuck.

AI is definitely the future, but it depends on how well you can integrate it with your processes. From a financial perspective, it is still evolving. I don't think anybody has cracked the code for end-to-end automation using artificial intelligence. However, we are using AI in bits and pieces and intend to expand on that.

I don't think we have integrations because Automation Anywhere works more on the UI. Essentially, you'll create a bot ID, which is a mirror of a human user ID. Any access that that human has is replicated to that bot. You don't necessarily need to integrate Automation Anywhere with your systems. It just sits in your VDI, and then it works like any human user would work.

Upgrading the solution was a challenge because it required a whole project and some coding.

Overall, I rate the solution a seven out of ten.