Automation Anywhere Reviews

We are supposed to produce 40,000 components of shells for bayonet caps. Forty thousand caps are required in each shift, which means it comes to about 120 caps per minute. For that purpose, we make use of the vibrating feeder and inserts for all the shoots. We also had composite tools to perform various operations. The additional components, which are supposed to come on the rotary table, were also finished and brought to the table. The shell gets placed from the vibratory feeder on top of it. There are two operations: hot white glass falls into it, and as soon as it falls, it goes to the next position, where it gets molded. The molding shape takes place.

Actually, we are supposed to produce 40,000 components of shells for bayonet caps. Forty thousand caps are required in each shift. That means it comes to about 120 caps per minute. Automation is going to become a new area we will certainly encourage a lot of people to pursue because of the lasting dividends it provides, including saving time and manpower.

I have not come across them. Automation Anywhere is a company that keeps sending their literature very often. I possess it, and I am getting good information through them.

Normally, I go through a lot of journals that provide a lot of information on automation. Practically, I have done a lot of work, which gives me the confidence that I can handle any type of automation.

You only give instructions to them regarding what is required. You explain to them.

AI is also supporting now. Most people are into AI because of the benefits we get, and it enables changes required through AI easily. It offers a lot of cost benefits and enables faster productivity. Normally, there are specific people we use to contact, who actually do the automation. No, I cannot decide a rating right now.

We use it for P2P, AP, O2C, AR, inventory management, finance and general ledger, and HR.

Moving forward, we see opportunities to operationalize AI within our organization for loss cash discounts, payment term mismatch, credit blocks for vendors, duplicate invoices, accounting entries, and invoicing in SAP.

By implementing Automation Anywhere, we wanted to achieve productivity and decrease the complexity of the processes. The key issue has been the complexity. RPA is not meant for complex processes. When a process becomes complex, we face a lot of errors. That creates slowness of processing, some interactions at critical moments, and frustration in the business because the job is not done. As an alternative, we have to work manually.

We built many complex bots, and that was not the best strategy. It is better to simplify and then automate, and not automate to avoid simplification. When you take this wrong approach, you have to deal with many technical issues, and you are not able to leverage and benefit from the other tools as part of the automation itself. In the business roadmap of an RPA project, there should be some reporting or dashboards of bots' portfolio so that you can see the percentage of successful processing, the rate of failures per bot, and the rate of exceptions. There should also be something to measure the return on investment to be able to say that this bot is meeting expectations and productivity. It was worth it to invest in this bot, and it costs less than manual work. If the bot is always facing issues, it will be better to come back to manual processing. We should not move from manual to automation without thinking about simplification. We need to simplify first and then automate.

We have a centralized infrastructure, but we have a decentralized business strategy. We gained 60% productivity, which is at a high level.

Automation Anywhere is easy to use for business users who do not have tech skills, but first, they need to be able to play the role of business analyst. You should not have many points of contact. You should have a single point of contact, which we call SPOC, and this person should be a business analyst. This single point of contact should collect all the requirements and needs and be able to communicate them in a structured way in order to enable the solution team to tackle the points. It is easy if the person who is supposed to do it follows the learning of the business analyst and is able to speak English. We have English speakers because we are in a multinational group. They should also have a minimum level of experience in IT or in general business. If the training is intensive, it takes three months to train non-technical employees on Automation Anywhere usage.

The RPA automation itself is valuable. We are not using the other components that are part of the platform much because we want to first stabilize the platform, the environment, and the infra.

It could be improved in terms of the global analysis of all the issues caused by the dependency components. For example, if bots are running on virtual machines on Microsoft Windows 2019, sometimes an issue might come from the virtual machine. Automation Anywhere should work closely with Microsoft or any other editor with which there are some issues occurring and stopping the bots from running properly. They need to collaborate together to enhance and improve the platform and the dependencies. It should not be that because the problem comes from Microsoft, Automation Anywhere does not tackle the issue. They should tackle the issue even when they are not responsible 100%. Microsoft or any other editor should work with Automation Anywhere.

I would like them to include process mining.

I have been using Automation Anywhere for three years, and I have been using UiPath for two years.

I would rate it a five out of ten in terms of stability because of the issue of dependency components, such as Microsoft components.

I would rate it a seven out of ten in terms of scalability.

Their support can be improved in terms of understanding the issue more deeply and involving enough resources based on the criticality or urgency of the issue. They should involve the right resources and the right number of resources. If we need an architect, they should bring us an architect. If we need an engineer, we should have an engineer in front of us. They should provide the right person at the right time.

Neutral

I have worked with UiPath. The move to Automation Anywhere was not my choice. It was a group choice.

We have a hybrid cloud. The implementation is easy if you are business-oriented, you first tackle simple use cases, and you involve all the teams. The complexity is always there, but to have less complexity, it is important to ensure these three elements. 

We include people from development, monitoring, management of development and monitoring, central IT management, and central business management.

In terms of upgrades, it is difficult to upgrade Automation Anywhere. The upgrades of Automation Anywhere are sometimes not adapted to the clients. They sometimes choose to upgrade the platform during a critical period, such as accounting month-end closing. It is definitely not the right moment to launch the upgrade. Automation Anywhere sometimes pushes general upgrades during critical periods. The best will be to take into account the constraints of the clients in order to not make it difficult for them.

In terms of maintenance, if the bots are running 24 hours a day, you need three people or at least two people for monitoring. The upgrade of bots requires one developer.

You get a return on investment only after 18 months. You can get 50% savings.

It depends. For example, for my group, we are centralizing the infrastructure in Paris. Our contract is signed with Automation Anywhere in France. The currency and the pricing of Automation Anywhere in France can appear beneficial and interesting for Germany and Scandinavian countries, but when we share our infra and are internally charging other countries such as Poland, Brazil, or some other country with a lower currency value as compared to Euro, it becomes less beneficial. They would prefer to sign the contract directly with Automation Anywhere because they will benefit from a price that is as per their local market.

The price works well for France, but it becomes a bit complex when you centralize it for all the countries or groups. In the international context, you have to propose something a little bit tailored for some countries, such as Romania or Brazil.

When it comes to automation and AI, I always think about being business-oriented. Always start with the needs of the business and do not automate just for automation. You have to think about relevant use cases and also scalable use cases. In a multinational group, it is important to not think individually. This way you can collaborate more and reuse more things. You can reuse the components that have already been built. It is also economical.

Each center of automation should have a governance plan. The governance plan should be very precise, and it should expand the roles. Each stakeholder should know what to do, when to do it, and how to do it at each cycle or phase. After that, you should come to the functional and technical aspects. Without a governance plan, nothing is possible.

Overall, I would rate Automation Anywhere a seven out of ten.

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.