Automation Anywhere Reviews

Automation Anywhere is a leading global RPA solution provider. Its platform is used by companies worldwide, including many Fortune 500 enterprises. Automation Anywhere is known for its innovative approach to automation, offering both cloud-based and on-premises solutions. It specializes in developing bots to streamline operational and business processes, making it a prominent player in the RPA market.

Automation Anywhere can be deployed on-premises, in the cloud, or as a hybrid platform.

We implemented Automation Anywhere to streamline our operational processes and automate repetitive, mundane tasks. Our bots operate in both attended and unattended modes. In attended mode, bots collaborate with human operators; in unattended mode, they autonomously execute tasks from start to finish. These bots work 24/7 without human intervention. Automation Anywhere is particularly valuable in the BFSI and IT operations sectors, where it can significantly automate business processes. Our enterprise currently utilizes over 5,000 bots daily, resulting in substantial cost savings and improved efficiency. The cloud-based platform's seamless integration capabilities and regular product updates ensure its continued leadership in the automation market.

Due to data protection concerns, the financial services industry has not fully embraced cloud technology. However, the retail and healthcare sectors have migrated to the cloud and identified significant opportunities. Real estate, vertical healthcare, and smart city transportation are well-suited for cloud adoption. These industries often face a high risk of human error. Automating processes end-to-end with RPA bots can mitigate errors, enhance company value, and streamline human work. Cloud-based RPA allows for easy scaling of bots to meet fluctuating workloads, ensuring efficient and cost-effective operations, even during peak demand.

Automation Anywhere makes it easy for business users without coding skills. It offers a low-code product that allows citizen developers to create bots without writing a single line of code. These developers can drag and drop information to automate activities, streamlining tasks like financial operations and daily routines. By providing basic details about the properties they need to operate, citizen developers can quickly build bots that can be deployed to production and triggered manually or automatically. This technology empowers individuals to create multiple bots tailored to specific needs, such as HR bots or onboarding processes. In the financial industry, it facilitates daily validation activities and data transfers between servers.

The learning curve for creating basic bots is approximately one week for non-technical users. However, complex bot creation requires coding knowledge, typically in Python, C#, or DLL. For those with a background in backend coding, such as C# or Python, an additional month may be needed to understand the intricacies of RPA or Automation Anywhere fully. The learning time ranges from one week to one month, depending on the individual's skill level. 

Automation Anywhere's new version introduces Copilot, a feature that allows users to create a basic bot for a specific task. These bots can be deployed into a production environment with minimal adjustments, leveraging AI capabilities.

Copilot's seamless integration with our organization's daily applications will be valuable as we transition to an AI platform. This integration will significantly enhance productivity, accelerate our automation efforts, and reduce time to market. Additionally, Copilot will enable us to create a multitude of bots more efficiently.

Copilot can significantly reduce our staff's workload by generating templates for bots. These templates require only input parameters to be specified, saving up to 30 percent of their time.

AI currently offers a variety of APIs that can be combined to create customized strategies tailored to specific customer needs for service provision and operations. By leveraging generative AI and advanced tools like generative AI bots or Copilots, businesses can develop and deploy automated processes to streamline daily activities. By carefully identifying non-automatable processes, generative AI can assist in addressing these challenges and improving overall efficiency.

Automation Anywhere's versatility allows for seamless integration with various tools and applications. It can effectively communicate with any system, and APIs can be developed to facilitate communication with any desired tool. There are no limitations to its integration capabilities. Its user-friendly interface and well-maintained documentation make it easy to follow and create bots for automation on any platform. CI/CD pipelines can be used to deploy these bots efficiently.

Automation Anywhere offers packages that can seamlessly integrate automation into our workflows, APIs, business applications, and documents. By extracting operational activities and pushing them to databases, we can enhance bot productivity and improve overall business efficiency.

Cognitive services and PDF file automation should be refined. The integration process should be simplified, perhaps using API-based activities. If a response comes in JSON format, these features should be readily available, allowing for easy information extension. This will enable developers to perform tasks and view accurate results quickly.

I have been using Automation Anywhere for almost six years.

The stability of Automation Anywhere is not a concern when deployed on the cloud. 

Automation Anywhere's ability to scale automation is impressive. We will begin by identifying business processes and then involve subject matter experts to determine the number of bots required and their priorities. This will guide our automation journey, which can commence immediately. Licensing and deployment will be swift, especially if cloud-based. On-premises deployment depends on our infrastructure. The entire bot facility can be ready within a week. For development, a dedicated center of excellence team can prioritize bots and commence activities accordingly.

The deployment complexity largely depends on the integration process. If integration is straightforward, a citizen developer can acquire the necessary skills within one to seven days and begin developing. For complex analyses, prior knowledge of external environments, such as C# or Python programming languages, can significantly reduce the required code length within the Automation Anywhere platform. While Automation Anywhere doesn't offer a traditional coding structure, it supports integrating other languages and components, enabling activities with fewer lines of code.

Automation Anywhere offers a subscription-based licensing model for cloud, on-premises, and hybrid deployments. A single license allows for 24/7 bot execution, whether performing a single task or multiple tasks at various times on a single machine.

I rate Automation Anywhere an eight out of ten. It is one of the top three RPA solutions.

Users need at least two years of experience in a specific coding language for complex automation scenarios. This is a requirement. They will primarily work on integration, as Automation Anywhere bots do not handle this completely. Writing code to call external APIs or web services requires thorough knowledge. Users can create Python code to add to bots for triggers. For complex bots, at least four years of experience is needed, not just in automation but also in other areas. This knowledge helps with architecture, bot execution, and future scaling. To create reusable structures and portions, users should start by drilling down and identifying them. These reusable components can be used in multiple bots or processes. This approach can simplify complex scenarios by breaking them down into smaller, repeatable tasks. To handle such complexity, users should have at least four years of experience in a typical development environment.

There are two distinct approaches to upgrading Automation Anywhere. Automation Anywhere handles the upgrade process for its cloud-based solution whenever a new release becomes available. However, on-premises upgrades require scheduling a call with Automation Anywhere to plan the process. It's crucial to have a well-defined disaster recovery plan in place for on-premises upgrades. This plan allows Automation Anywhere to maintain a single active platform for upgrades while ensuring the other platform remains available for production. Once the upgrade is complete, the other platform can then be upgraded. In contrast, cloud-based customers can rely on Automation Anywhere to manage the upgrade process without additional effort.

Every day, technology evolves. Maintenance is necessary when components change, or new versions are released because specific code segments may become obsolete. We must closely monitor the entire ecosystem for errors and swiftly resolve them. Bugs can sometimes arise due to technical coding, so we must address these issues or share detailed platform information with Automation Anywhere for their analysis. If a core issue is identified, they will take the necessary steps to resolve it. They may request that clients modify their environment, application, or component handling for technology or third-party matters.

The maintenance requirements for Automation Anywhere vary depending on the situation. Minor issues can be quickly identified and reported to Automation Anywhere, who will respond within 24-48 hours based on the purchased services. Our system administrator can resolve minor issues. Audits may be conducted in a development environment, where estimates for time and effort can be determined. Cost and time estimates are not fixed and depend on the specific issue.

The bots are maintained daily.

I was working for an airline client that had their processes in the mainframe. The application Sabre that they had was all terminal-based. It was very difficult to navigate and capture everything. We automated a lot of tasks related to validation. For example, when someone booked a flight ticket and tried to cancel it, they needed to give some reason. We had rule-based validation, so we had to validate the reasons and assess them. Previously, it was all manual and terminal-based, and then we used Automation Anywhere to automate.

We also used Automation Anywhere to do a lot of PO manipulation. It was done in an application called Coupa. We used to do that automation with APIs. API automation was very easy with Automation Anywhere. We used it to automate such tasks.

Automation Anywhere was introduced as an RPA tool to facilitate the digital transformation journey of the client organization. They wanted to eliminate a lot of manual tasks and provide quality work for their employees rather than them doing manual activities. They also wanted to make sure that a process was in place. They wanted a very low code or no code automation so that even business people could upscale themselves and automate. They wanted to free up their employees from such manual tasks and have a lot of bandwidth to do some other research.

In the use case related to the cancellation of a ticket, a lot of things have to be handled. When you cancel a ticket, the airline has to make an update at a lot of places. Only then you would get the refund. It involves a lot of processes. They could be related to the meal or something else. Even if you have not subscribed to any add-ons, all the checkboxes have to be ticked, and only after everything is cleared, you get your refund. Before automation, the refund process was very tedious. When they were doing it manually, any mistake could lead to incorrect transactions. For example, they might end up transferring a different amount. It was a very tedious process, and it was handled with the Sabre application, which was not very user-friendly. It was mostly a terminal-based mainframe application. It had a user interface, but a person with good experience was required for it. A fresher or somebody less experienced could not do it. You needed to know where exactly to go, and there were a lot of things that you had to learn to do this process. It was always done by an experienced engineer, and it was very manual involving navigating different screens. During COVID-19 times, there was a shortage of employees, and the airline was handling a lot of regulations, so this manual process became more problematic. At that time, we introduced Automation Anywhere. We were targeting only 50% automation, but we were able to automate 80% to 90%. It significantly improved the time to process a request and reduced the dependency on a senior engineer for the process. The robot could handle the process. We had programmed the robot. It was a very good experience. It helped the client navigate through tough times.

When you decide to automate a process, you try to understand the process in and out. You try to understand the exception scenarios and how to solve them. You prepare a process discovery document. While doing this documentation, you try to streamline the process because Automation Anywhere, as a tool, needs to be configured to automate that process. It forces us to ask a lot of questions, such as what if the file to be downloaded is not there. You come across all such things at the initial phase. That helps a person to restructure the process and fine-tune it more strategically. It saves a lot of time. It has plenty of features to do Excel operations. It has a lot of capability for querying. You can read data from Excel and process it using a query. You do not have to do Excel operations one by one. It is very quick. If a person is taking 30 minutes to do the operation, it takes only seconds or minutes to finish it. It provides a lot of efficiency.

You also have a lot of traceability. You have a lot of logs. You can see what happened after a process. When you have an audit, you have some traceability. A person doing a task does not always document each and every step. He or she would just do the task and finish it off. When you automate the process with Automation Anywhere, because the robot is doing the tasks, you get a lot of logs and a lot of traceability for auditing.

At the initial stages of automation, you also redefine and optimize a process. Instead of downloading 4 Excel files at different places, you try to standardize it. You give a standard name and a standard path. Everything is standardized, and a lot of focus is put on security and data privacy. We are very conscious of not saving it at any location that is accessible to anybody else. Subconsciously, we do all these checks. It improves the security and data privacy aspects. It also leads to process optimization. Like any RPA tool, it saves a lot of time, and it is efficient, and then logs are there as a good source of tracking.

Automation Anywhere is easy. It takes one to two weeks to introduce a non-technical person to this solution. They already have good domain knowledge, and they just need to know how to work with the tool. In about a week, we will be able to train them in basics. We can show them the interface. We can show them what goes where, but they will not be able to develop full automation or know about full RPA coding. They can get the basic knowledge in one to two weeks. Full training will require building a use case. It could be a small use case. If a developer would take four weeks, which includes development, testing, and other things, a non-technical person would require eight weeks. Only then a person will be able to learn completely and become a very good developer.

In terms of integration, there was SAP integration and Sabre integration. There was one more application. I worked only with these applications. If there is a component available, the integration goes smoothly. When you want to go for something customized and you try to build an integration, it is very challenging, but that is common with all the tools. When you try an out-of-the-box integration, it is very easy because they would have already tested that it is working. When you try to build something or customize it, that is when the challenges come. I have seen plenty of challenges with Automation Anywhere when you go for something that is not there in the package. You need a lot of support from the team and a lot of effort. The security restrictions from the organization were also stopping the integration. It was not happening. A lot of errors came, and we had to reach out to the network team and the security team. There were networking and security issues that had to be resolved.

Automation Anywhere has saved time and costs, but I do not have the metrics.

I have not used the recent versions, but it provides a great way to automate. Excel automation is quite valuable. Initially, it was only there in Automation Anywhere. It was not very popular with other automation tools. Excel automation is a very good feature. A lot of back-office activities happen in Excel. It is a very needed feature that Automation Anywhere provides.

In 2021, Automation Anywhere switched from on-premises to cloud. They renamed it as A360. They brought the required changes with this version. Before that, they used to have a line-by-line code view. They did not have a flowchart diagram, but it was very much needed. Because it was low code, a pictorial representation of the code was something that was missing in Automation Anywhere. It was there in UiPath and Power Automate at the time. Automation Anywhere then introduced two views. That gave people the option to use the view that they were comfortable with. That was a very brilliant move. Having two options made it very accessible.

It is very user-friendly. The AI capability that nowadays I am seeing in Automation Anywhere is very good. They have plug-and-play AI solutions. You do not need to know a lot about coding or AI to implement AI in your automation. You can just use their plug-and-play solutions. That is where its real strength is.

Automation Anywhere is easy, but the Automation Anywhere courses are not so easy. All RPA tools have their own academy where business users can go and learn the solution and do things themselves. Automation Anywhere courses are a little bit complex to understand. You need a little bit more time, and accessibility is also a little bit of an issue. They should focus a bit more on the academy and learning materials on their portal. The content should be easy to understand. It is not easy to grasp for a non-technical person. It should be easy for citizen developers. Also, their certification is very costly.

There should be more visibility as an RPA product. Every organization is trying to stick with certain tools. I like Automation Anywhere, and I would like to work with it, but I am not getting an opportunity. Automation Anywhere is not promoting itself to other organizations. Organizations are moving towards Power Automate and UiPath. It could be because Automation Anywhere is not reaching out to companies.

Their community events are also less. There are not many developer events in the cities where IT is there. In Bangalore, India, most of the IT companies are there, so we get to go to a lot of conferences. We get to hear a lot from other vendors, but Automation Anywhere's events are very limited. They should take care of their presence in the community and companies.

They should introduce videos for the new features. They should promote new features. They should be known to people. They should be accessible to people. Only then developers or companies will know about it. Only then, it will get used. There are probably plenty of good features, but they are not known or explored.

I worked with Automation Anywhere for 2 years.

It is a stable product. I would rate it a 7 out of 10 for stability. It is not a perfect product, but it is improving every day.

It is not very scalable. I would rate it a 6 out of 10. After you have built your robot, if you want to make some changes, you can do that, but if you built a robot and you want to make it an AI-enabled robot, it is quite a challenging task.

There were many users of this solution. I was a part of the Center of Excellence. The finance team and HR team were also trying to use it. There were more than 50 people for this solution.

I was getting good support from them. I would rate them a 9 out of 10. They were always very helpful to me. My colleagues have had a bit of a bad experience, but I did not. I have raised a few tickets, and every time, the person was attentive and helped me out. They were very patient. They were straight to the point. They knew the technology.

Positive

I am working with UiPath and Power Automate. Automation Anywhere has got its own benefits and its own strong points, and the same is applicable to other vendors. It is just about which one your organization is aligned with and which one your organization has chosen to go forward with. However, other vendors are better in terms of reach. Even if I am not working on Power Automate for six to seven months, I get to learn about it. I see a lot of things on LinkedIn. There are communities where I can go to learn and keep myself updated, whereas, about Automation Anywhere, I do not see much information. I have to exclusively go and spend a lot of time to find the information. That is where I see the difference.

It was on-prem before, and then we migrated to A360. It was already deployed when I joined, so I do not know about it, but migration took 4 to 5 months.

There were 4 people mainly focusing on migration. It was a bit complex because it was new, and there was not a lot of material available online. It was a little complex, but later, it became smooth. We reported a lot of bugs, and other people also reported them. It was very smooth.

It is cost-efficient in terms of licensing. I found their support good when I was working for the airline client. However, I hear from my managers here that the support price for Tier 3 or premium is a little higher. That is why we are not going for Automation Anywhere. Its price was okay for our client, but for us, it seems expensive.

Automation Anywhere was a tool that was decided by our client. They were very much satisfied with how work was progressing. It gave them faster results, and it helped them navigate through the Covid-19 situation.

I would recommend Automation Anywhere. It is a very solid product. I have always vouched for it. I see a lot of potential because it is very easy and it was a stable product when I was working with it. They were very careful about their releases. They were not releasing a lot of things, which is something I see in other products. With Automation Anywhere, each release is very carefully tested.

They introduce new features, but I have noticed that in India, the market for Automation Anywhere is not very big. I am not getting to work on Automation Anywhere because companies are moving to Power Automate and UiPath, so I am not able to learn it more. It is difficult to get hold of this solution.

In terms of our organization’s perspective when it comes to automation and AI, specifically Generative AI (GenAI), we want about 50% of the income coming from IT and services. Automation and AI are placed at the top of the strategy. We are moving towards RPA plus AI and ML. It is almost like hyperautomation or intelligent automation. This is one focus area, and another one is Pure Generative AI and data. The data part is handled by a different organization. We are looking into how to drive insights from data analytics and how to leverage the GenAI technology outside and derive value from it. These are highly focused areas.

I would rate Automation Anywhere an 8 out of 10. I liked working with it.

In the retail industry where I work, we need to track our working hours every Sunday. This is because some Sundays have work restrictions in our country, with exceptions. We record these hours to ensure our national system can verify the accuracy of our payroll.

For example, we use Automation Anywhere to automate tasks. It takes changes from an Excel spreadsheet and updates two different systems. Another process involves checking discrepancies between the quantity of items received and those paid for. For our back-office bonus processing, we use automation for transactions in our ERP system, ensuring all necessary data is entered.

We implemented Automation Anywhere to reduce the amount of manual operational work currently required in our company. This decision comes as we are experiencing significant growth, with new stores opening and a corresponding increase in back-office workload. Additionally, Automation Anywhere will help us improve data quality and minimize errors, ultimately reducing costs.

Since implementing Automation Anywhere, our processes are much better documented. Previously, we lacked process documentation in our company. Now, not only do we have it, but it's also created quickly and accurately. Additionally, we have more control over logs. This means if a robot encounters an issue, it can automatically escalate the task to the responsible individuals. Furthermore, we now benefit from reporting capabilities that were previously unavailable.

There are three scenarios where AI could significantly improve our efficiency. Firstly, we deal with weekly discounts. We offer reduced prices on certain items and advertise them in flyers. Unfortunately, sometimes the printed flyer prices don't match the prices in the original digital tables. This inconsistency is problematic because our stores operate independently, carrying different products and offering varying discounts based on location. Consequently, we create multiple flyer versions for different cities. Currently, this process is entirely manual. Back-office staff print the flyers and then meticulously compare prices with the digital tables. We believe artificial intelligence coupled with advanced OCR could automate price verification on flyers before printing. AI could analyze the flyer images or scans and ensure they match the original data. Secondly, we encounter discrepancies between product names in vendor data and the names we use internally. AI could streamline this process by matching equivalent products and eliminating the need for manual data entry.

Automation Anywhere offers an academy that is helpful for non-technical users to learn the platform. Learning the basics typically takes up to three months.

We implemented Automation Anywhere about a month ago and developed a comprehensive solution for our office. We've already observed a significant increase in satisfaction among back-office workers who previously performed these tasks manually. Automation Anywhere has freed them from repetitive tasks, allowing them to focus on more strategic activities like report oversight. Management is also very pleased with the results, rating their satisfaction at eight out of ten. Additionally, Automation Anywhere has helped us improve both speed and accuracy by significantly reducing errors in this process.

In the first year of implementation, we have identified 20-30 processes that could benefit from automation to help us manage our growing volume of office tasks. We are considering incorporating AI as early as this year-end, depending on the success of our current implementation and any unforeseen challenges. Additionally, we see potential in generative AI to improve efficiency for both our clients and back-office staff. We've identified ten HR processes in particular that could be streamlined with this technology.

We have integrated several internally developed HR applications with Automation Anywhere to manage timesheets and vacation planning, and also integrated retail applications for checking product quantities.

I've been using Automation Anywhere for a few years now, and it's addressed most of the issues we had with previous versions. It runs smoothly, especially since our company uses Google Workspace. Overall, I've had a positive experience with Automation Anywhere. It's worked well for me, and I haven't encountered any problems so far. In the past, I also used Microsoft Workspace, and Automation Anywhere functioned well with that too. In my experience, it seems to be compatible with most platforms.

Automation Anywhere has helped save us costs and almost 40 hours per week.

In terms of development, we've been relying on the provided operations so far. However, I haven't yet explored Copilot for the discovery phase. I believe it could be a very helpful tool for us moving forward, and I think it's a great feature.

The help Automation Anywhere offers during setup isn't great for smaller companies like ours. It could be improved.

Many users in my country lack, for example, advanced Excel skills. This makes using Automation Anywhere a significant challenge for them.

The Automation Anywhere community doesn't seem very active. Additionally, navigating their site can be quite difficult when encountering problems. As a developer and engineer, I found it challenging to locate information. Support could also be improved. For example, I had trouble connecting my Google account, and finding help was nearly impossible.

In terms of variable initialization, I prefer the previous enterprise version. It was simpler and required less code. Object access could also be improved in the current version. Ideally, there would be an easier and more precise way to retrieve objects.

I have been using Automation Anywhere for three years.

Automation Anywhere is stable.

Automation Anywhere does a good job of providing automation at scale. 

It is difficult to get proper help from the technical support.

Neutral

Deploying cloud solutions can be relatively straightforward. Therefore, I don't anticipate the initial deployment of Automation Anywhere being particularly complex. It seems the Automation Anywhere salespeople provided excellent information to facilitate the implementation process. In total, three people were involved in the deployment.

By implementing processes using Automation Anywhere, we can save up to 3,000 euros within two weeks of development.

The pricing is fair and allows for scalability. This means we only pay for what we need, and if our needs increase, we can easily upgrade our plan.

Upon joining the organization, I discovered they were already using Automation Anywhere. However, before implementing this solution, they had evaluated UiPath, Blue Prism, and Microsoft Power Automate. Ultimately, Automation Anywhere won them over due to its competitive pricing, fast implementation speed, and responsive support.

I would rate Automation Anywhere nine out of ten.

Understanding the trade-offs between different solutions can be challenging for higher management. While some local RPA solutions offer free or cheap services initially, they may not be as efficient, especially as automation needs grow. It can be difficult to explain to the board that maintaining such solutions becomes increasingly complex as automation demands increase. Additionally, limited vendor support during implementation can be another hurdle.

Upgrading the solution is easy because it is cloud-based so it is all done by Automation Anywhere's people.

Currently, three departments are contributing to the development of automation solutions. We anticipate even more involvement this year. On the personnel side, ten individuals are currently involved in developing Automation Anywhere. Additionally, two people utilize the tool – one developer and one business user. We are experiencing a growth phase and are actively hiring additional staff to develop new processes.

Since it's a cloud solution, maintenance is handled by Automation Anywhere. Our team maintains the custom software and processes we've developed.

I recommend Automation Anywhere, but before implementing it, every user should first identify the processes they have that are suitable for automation. Be critical and optimize everything that can be streamlined without RPA. This is important because automation requires well-defined tasks to plan resource allocation effectively. When nominating a process for automation, evaluate the time it currently takes for a human to complete it. For example, a four-hour manual process won't become instantaneous with RPA, but it will certainly be faster. The goal is to understand the time savings and resource allocation needed for the robot. This includes determining how frequently the robot should run and on what schedule.

Jersey STEM is an all-volunteer organization, which means that we have interns doing development using donated systems. The beauty of donated systems is they're free. The challenge of donated systems is that there's a lot of data that isn't correlated, and the systems don't talk to each other, so we use RPA to establish some communication between the systems and gather data into a central coherent location.

Automation Anywhere has helped our organization by giving us a relatively easy way to gather all the data we need. We have data from HR, volunteer-matching systems, and grants systems. Automation Anywhere has enabled us to automate data gathering and posting that data into usable forms.

Before implementing Automation Anywhere, we processed these tasks manually by getting data from websites, putting them into spreadsheets, and going from spreadsheets to databases. Attempts to automate that using other tools were pretty onerous. 

Automation Anywhere enables us to simplify the process and see results much faster. Previously, it would take six to eight weeks to get results. With Automation Anywhere, we're getting results in two to four weeks, which makes the business happy. When I say business, I must remind you that these are all volunteers with little time on their hands. They're doing this with full-time jobs. Our goal is to make their lives easier with Automation Anywhere.

Jersey STEM primarily uses Google, so we use tools like Google Sheets and Google Docs. The automations all have to do with the Google ecosystem. Additionally, we must integrate with all donated systems, including HR, volunteer-matching, and grant systems that are donated to us. Jersey STEM is building the data warehouse as we gather all that data.

In a volunteer organization, employee capacity and compliance are not the primary metrics. Because we have an all-volunteer crew, we don't have them eight hours a day. We only have them for a couple of hours a day. We want to do anything we can to better utilize those two hours a day so that they're not spending them moving data around in spreadsheets. 

I have some metrics at the top of my head, but they're a little abstract. Accomplishing what we've done so far with the bots in production would take 40,000. It's not a direct correlation of full-time employees because that's all work that would not have gotten done because they don't have time for that kind of nitty-gritty work. 

Automation Anywhere has saved us a lot of time but not so much cost because everything is donated. If you have volunteers and they're giving you two hours a day, it is better to spend time on intellectual work rather than repetitive mundane work. That's the big bang that Automation Anywhere gives us.

Automation Anywhere's ease of use is the most valuable feature. We have interns doing RPA development, and it takes them about four weeks to get advanced-level certification. And within four weeks, they're productive. It's user and developer-friendly, robust, and scalable. We started in March with four bots in production. We have four more bots about to go online, which is pretty quick in the RPA world.

At Jersey STEM, we haven't put Automation Anywhere directly in front of business users. We don't have citizen developers because most processes we tackle are back-office automations. In the fullness of time, we will put citizen developers to work. I'm confident they will pick it up fast because Automation Anywhere does a great job of simplifying the process of building automations.

The learning curve for Automation Anywhere is quite simple. I had four interns do some basic training online. We did a three-day course with them to get them the advanced training, and they were productive within four weeks. They are in the process of building more bots. At this stage, we may be in danger of having them run out of work because they're working so fast.

Integration is the primary reason that Automation Anywhere process-building is so simple. All the building blocks are handed to us. It removes the guesswork of what has to be connected to where. We can pay more attention to the logic of the process rather than the mechanics and infrastructure of the process.

The only thing I would advocate for is making Automation Anywhere's developer environment Mac-enabled because many of our graduate students are coming out of school with Macs. Everything else in the Automation Anywhere world is built for Windows.

We've only been using Automation Anywhere at Jersey STEM since March of this year.

Automation Anywhere has been rock solid for us. We have had no issues.

We have yet to find out the limits of Automation Anywhere's scalability because we're only starting. We have a control room with one attended bot runner. I can imagine that within the next year or two, we'll need to scale up. Given the way Automation Anywhere is architected, I am confident that scaling up won't be a problem. 

Deploying Automation Anywhere was relatively seamless. I've been using Automation Anywhere since version 10 and was a solution architect for version 10 and version 11. An on-prem deployment requires a computer science degree to understand because there are so many factors involved. With a cloud deployment, everything was done for me. The only thing I had to do was provisioning and configuration. It made life a lot easier. I could complete it on my own in about two weeks.

It's too early, but the ROI will not be measured in dollars and cents. It will be measured in our ability to get data faster. For example, if we have a base of volunteers waiting to connect with us, we can connect with them much faster. If there are grants to be had, we can get to those grants a lot faster. 

The difference between a volunteer organization and a typical business organization is that our funding has to come from outside. We have to find it. Help comes from outside. We have to find it. The return on investment is getting there quicker.

We purchase Automation Anywhere through a service partner that's also helping us with those costs.

I rate Automation Anywhere nine out of 10. It's a solid nine and a half because I don't give out tens. 

The Imagine event has been highly informative and useful for me. It's informative because I'm learning all about the generative AI coming down. That's been the focus. It's useful in that I've made lots of connections this year. When folks find out about Jersey STEM's goal, they're interested in volunteering. I have a whole bunch of new people to talk to who will help us with our future endeavors.

The Imagine experience is a full-on fire hose of automation, but it's a lot of fun. All the presentations have been geared to keep people's attention and to be entertaining. It's a brave new world, and there's a wow factor here.

I would invite folks in my field and other volunteers. It would be self-serving because our volunteers would make more connections, get more people to help, and also learn about the possibilities of where we could take Jersey STEM from a data infrastructure perspective.

Currently, we are focusing more on finance, shared services, and interpretive related ideas. For accounting and finance statistic, we have reconciliation specific processes, such as rates uploads into systems. The majority of our development is on SAP and Excel. We are focusing on the financial services area, so our use cases are more related to finance and accounting. These are the use cases developed by the development team.

We are using an on-premise deployment model.

The main agenda for using the RPA is to see how we can get the benefit from reducing human capacity as well as quality output. These two are the major focus for us and what we are achieving.

Timeline-wise, it normally takes a long time to develop. With the AA and RPA concepts and their ready-to-use components, we can deliver a bot within couple of days or within a week time frame based on the use case.

It is easy to use and developer-friendly. The development time is very short. If any system needs to be changed or any functionality needs to be incorporated to any of the technology, it usually will be a long process, like months. With this innovative tool's automation, it is very dynamic, easy to develop, and deliver results quickly. With some of our use cases, we were able to deliver within the time frame of two to three weeks, which is the biggest plus with this tool.

There are good MetaBots available in the Bot Store. We were able to leverage them, as well as established our own reusable components. Considering that, it is easy to add on any software or applications that sits in the system.

We would like to have the Excel plug-in. We have a challenge with unattended bots in development which will be deployed on virtual machines. End users ask, "Why can't we run the bots whenever we need?" The new concept for getting attended bots as well as the Excel plug-in will solve this problem, but we'll wait for 2019 version, which may be a better solution for the business.

More structured and unstructured data collection will be a challenge. While we have the IQ  Bot tool, the success rate at the beginning will be lower. It will be around 20 to 30 percent at the start because you need to train the bot at regular intervals. Of course, this depends on the data. This area could use be improvement.

The marketing strategy is directed toward end users. These leads to confusion in the organization regarding, "Who needs to develop?" Is it IT or the business? This causes friction within the business. Whatever the approach, it is important to show how to get the most benefit out of the tool. There should be a clear roles for IT and the business when using the tool. This way teams and structure can be better established in a business.

For attended automation, there are still questions to be answered: How it is going to maintain the queue? E.g., there are 20 users who want to process their own processes, and when they trigger things, how will the Control Room react? How will bot work distribution happen? These things still need to be looked into, but conceptual-wise, attended automation is really good.

It is confusing: Who needs to develop the bot? The business or IT. At the basic level, the bots can be created. However, once they are moved into production, you have to make sure that the bot is stable and running 24/7 without any issues. Therefore, a lot of care is required due to the amount of controlling mechanisms required.

There are a few problems with deployment and maintenance. When it moves to other systems, the consistency will be somewhat lost.

RPA is decently established and stable as the market is coming up with new features. However, the unstable area is more the IT part of it where a lot of research still needs to be done, especially in the case of artificial intelligence. 

When we run bots, sometimes the systems will go down. Maybe it is because the same functionality worked once or even regularly, but then all of a sudden there will be an issue. It might be a network, latency, or some other issues. Still bot stability needs improvement. These are very rare situations. It works most the time, but one time it will fail and we don't know why.

When I talk about RPAs, it is to say, "Can this problem be solved with RPA?" Scalability-wise, we are in good shape. 

In terms of AI incorporation, this type of scalable incorporation would be benefit everyone. The trend looks like we are going to reach to this point in a good manner.

We were able to put more than 40 bots into production. There are around 20 more in progress. On average, we were able to save around 25,000 hours of manual efforts.

The technical support's response is very good. They gave back solutions quickly. We haven't face many challenges when using the tool. So, we haven't interacted much with the technical team, maybe two or three instances. 

We looked into moving into RPA because it was the trend in the industry.

We do regular acquisitions which leads to a lot of duplicate roles and resources along with similar activities. With this approach, we can streamline our processes and bring uniform processes across the organization. We have been able to establish this. If we use the bots on a lot of manual efforts, it will reduces effort. Going forward, we can use the bots in a better manner by using them for the strategy of delivery and appointments.

We started this journey with a PoC. For three months, we tried understanding the tool and its capabilities. 

The initial setup is not complex for the tool setup. The struggle points are establishing the right mechanisms to identify the candidates and prioritizing things. 

In April, we started the pilot. By July, we had the software as well as the use cases that we needed. We got the licenses in July or August. It took us at least a quarter to establish systems and resources. Then, we started delivering the bots from December 2018. It took six to eight months' time frame from PoC to first bot deployment.

For our bot creation process:

A business user, whoever is doing the manual process currently, will send their request with the details of the use case. Those details will be assessed by IT and the business functional groups to measure what will be the man-hour savings. Also, is it a possible candidate for RPA?Based on those measurements, we identify candidates for RPA, then we determine if they meet the current threshold of 500 hours. If it is more than 500 hours, we consider that a candidate for RPA. Based on that criteria, we identify and prioritize it. Afterward, it comes to the development team for development.

If we had been alone during the initial setup, might not have been that successful. However, when we partnered with the other groups, like consulting firms, then we were able to get the right mechanisms in place within a short time.

We did the deployment in-house.

We have a good dashboard to measure ROI. Whatever investment, licensing, and resource costs together are put in for development and delivery, we are still at an ROI of 250 percent.

To measure ROI, whenever we get a use case from the business when we do an assessment, one of the factor that we capture is the time saving. We try to measure and apply the country rates for the locations where they are doing manual efforts. We measure the time savings by applying the country rates and deriving the hours and value.

The time that it takes to develop and deliver is within two to three weeks.

It has good licensing costs which are average for the market.

We did try out UiPath, which is a good solution. 

We also look at Blue Prism.

We like Automation Anywhere's end user experience. We thought Automation Anywhere was the better solution for developing bots in the long run. It is a centralized tool because of its Control Room. It makes sense to have a solution where everything is in a centralized repository. AA has a more future-looking perspective which will help them in the long run.

We currently are not evaluating any other vendors.

When we saw the tool capabilities, we were so excited. We tried to start using them but we needed to have the right structure and mechanisms in place from the beginning to identify the use case for prioritizing. This plays a major role. 

If you are a big organization with a center of excellence, you need to bring all the people together. The establishment will play a bigger role than just developing and delivering bots. Developing and delivering bots is a very small portion, which is doable by any individual who has a basic technical background. To be successful in your journey, having the right structure upfront will help.

We experimented a little bit with IQ Bots, but we didn't see much use cases in this line currently.

A lot of people interact with RPA and the industry is really excited about it. However, you need to pick the right candidate to be successful in your journey, along with the right framework for the development. This will give you a good output. This is what the business needs to test. Pick a solution based on the organization's needs as well as the right approach. Have an assessment with an approach framework will help.

We mostly started using Automation Anywhere for RPA projects. Now, we have a lot of intelligent automation. A few of our cases are using document automation since we have a lot of technical documentation in our engineering enterprise. 

Automation Anywhere brings a lot of value, not only via automation but with citizen developers. People who do not have the ability to create technical solutions are now able to do it. We are doing some things like hackathons with Automation Anywhere. It's another way of adding value to the business.

The document automation is the most valuable aspect of the solution. The new enhanced version is a game changer. We have gained lots of improvements by extracting data, including unstructured data from images to structured data. With the quality and accuracy, we are now able to bring lots of value. We've using generative AI with this data and making the automation more intelligent.

The processes and tasks automated by Automation Anywhere versus how they were done prior to implementation are much more streamlined. We get a lot of efficiency. We get precision. We're able to free up labor tasks and gain efficiency and productivity. There are some processes that need special attention or there are concerns about governance. In finance, an error can be an obstacle. It can be a pitfall also. Confidence is always a thing we are looking for. We must be confident there are no errors. With Automation Anywhere, we can remove mistakes.

It is easy for business users who don't have technical skills. When we communicate properly the opportunity or challenge to people, and when we can show the value of automation, they embrace it. It brings those even without technical skills a lot of opportunities. Even we are surprised with what people can do. People know best what they need to do with their tasks. If they can automate a solution by themselves, it brings a lot of value. 

The learning curve is very short. We have started a few hackathons. We've noticed, in one week, that we were able to do 40 cases. We did it twice. So in two weeks, we have almost 80 cases from idea to construction. We did it in two different cities in Brazil, and it was an amazing opportunity to bring value to people who did not have technical skills in such a short time frame.

We are starting to use Automation Co-Pilot, and we are very enthusiastic. We are very happy with this new tool and expect many more use cases from it in the future.

Co-Pilot helped accelerate automation adoption. It's an easy way to do more with the automation. People feel free to focus on the problem and not on the technical skills. This is a big game changer when there's a person without technical skills. 

Co-Pilot has also helped increase productivity. Even those without technical skills can automate tasks and develop things very quickly. They can have an idea and come up with a solution in a very short timeframe. It can free up staff time. They can automate tasks to free up time to work on other things. It helps speed up work significantly.

There are applications we can embed Automation Co-Pilot into a few websites. We have a lot in the enterprise. Things like Salesforce and Teams can be integrated. We can do a lot by activating Co-Pilot from Teams. We can use it as an assistant in Teams for our team. We've also integrated Google Cloud and AI to add in more AI solutions. 

The integration is helpful. We have quite a few use cases where we've integrated with Microsoft tools and local record systems, such as SAP and Vertex AI. 

The labor costs have been lowered. It's always a concern and the proper use of our staff, and their capacity and competency, is important. With automation, we can help them focus on more high-value tasks. Automation gives them the ability to move away from repetitive and boring tasks and move them to more important areas.

We've been able to save a lot of time and costs by replacing repetitive and boring labor tasks with more important ones. 

We're leveraging other Automation Anywhere programs. There's a lot of value when using professional services. We can look at similar use cases and learn from those. 

Automation Anywhere can be improved by offering more integration with many more applications. While it is very integrated nowadays, the complexity is a key issue. Common users must have the opportunity to integrate it with many more environments. 

We've been using the solution for four years.

The stability is very good. It is a robust solution. We haven't faced any issues within the four years or use. Stability, combined with innovation, has been invaluable. The product is never static. We always have access to more enhancements and products with updates within a very short timeframe.

Automation Anywhere provides automation at scale. It's realized mostly when we combine many technologies and use them in the same process. When we use it in conjunction with other things, we can gain the most value out of each technology. The limits nowadays are almost zero as there is so much integration possible. 

We have Gold Service with Automation Anywhere. Support has been a big advantage for us. We have many assets and 8,000 employees. It's a big operation. That's why we need proper support that can help us with multiple automation. Any change or mistake can be rapidly managed with the level of support we are provided. 

We did not previously use a different automation solution. We started from scratch with Automation Anywhere.

We've been able to deploy the solution easily. We've been able to integrate it with our systems of record and other tools. 

The experience has been good. It's important to do it with the proper partner and proper team. When we merge product and project teams, it helps make the deployment process seamless.

We do have some partners that help us with the deployment. 

We've witnessed an ROI not only on the automation but in the integration with Google, Microsoft, and other platforms. The net value we receive is across many aspects. Now, we have an average of more than 30,000 hours saved per year on labor costs. We've also seen more cost reductions related to automation. 

The pricing of the solution is okay. We've bought licensing via a big bid. It was hard to define as it was the first time we were using the solution. Of the second round, we were very focused on what we needed. We understood the process better. It's provided a lot of value these days. 

We did evaluate other options, including solutions from Microsft and SAP. The difference is that Automation Anywhere can integrate different platforms. That way, we are not limited to just one platform. We can combine many different technologies while having the liberty to scale across many different processes. 

The Imagine Conference by Automation Anywhere has been helpful. It's a good event for everyone - for both technical and business people, as well as students. It helps everyone realize the opportunities of automation and unlock value in the face of challenges. We're seeing automation become simpler and user-friendly, which is allowing us to be more productive. 

I'd rate the solution ten out of ten. It brings a lot of innovation to our company. It's great for technical and non-technical people. 

We use Automation Anywhere to integrate between different systems like CRM and ERP.

We adopted Automation Anywhere to streamline our operations, enabling us to extend service hours while reducing manpower needs and human error, ultimately driving down costs and improving efficiency.

Before Automation Anywhere, manual processes were time-consuming and error-prone. Now, automation gives us peace of mind with error-free execution, saving us manual time while running 24/7.

AI, specifically through machine learning techniques, will impact data analysis and decision-making.

Automation Anywhere is easy to use, even for business users. It is considered user-friendly, with clear documentation available. However, I've found the most effective way to learn is by observing colleagues who are building new processes, allowing users to see the software in action.

A non-technical person can learn to use Automation Anywhere within two weeks.

Automation Anywhere has significantly boosted both our sales department's performance and our finance department's efficiency by automating time-consuming manual tasks, freeing up employees, and enabling us to complete many processes without human intervention.

Depending on the task, Automation Anywhere has saved us up to 70 percent of our time, directly correlating to cost savings.

We have Google Workspace, Microsoft Excel, ERP, and CRM integrated using Automation Anywhere.

Automation Anywhere's integration with APIs is durable.

The most valuable feature of Automation Anywhere is the ease with which it integrates with our existing APIs.

Automation Anywhere can be enhanced with additional safeguards during the database-building process to minimize errors.

When dealing with a large number of variables, uploading them directly from an Excel sheet to Automation Anywhere is not supported. In such cases, we have to enter each variable one by one.

I have been using Automation Anywhere for almost four years.

Automation Anywhere is stable.

We can scale Automation Anywhere by adding more licenses.

The technical support team is not only responsive and helpful, but they also offer a rich library of documentation that provides valuable self-service resources.

Positive

We need to install a client into our machine to use Automation Anywhere.

Implementing Automation Anywhere proved challenging due to platform-specific intricacies. Each platform, like Google Cloud and AWS, requires unique implementation techniques. Fortunately, once these variations are understood, the process becomes streamlined – it only took me two days to grasp it on Google's platform.

Automation Anywhere might have a higher upfront cost than some competitors, but its extensive features and seamless integration with other tools can save organizations money in the long run. This is because they wouldn't need to purchase those capabilities separately.

After implementing Automation Anywhere, we explored other options like Microsoft Power Automate and considered UiPath, though I hadn't used it directly. Automation Anywhere provided the smoothest integration with our existing third-party tools.

I would rate Automation Anywhere eight out of ten.

Maintenance is only required for the on-premise version of Automation Anywhere and is performed by a couple of administrators.

Daily, we perform routine bot maintenance for a few minutes, unless a significant problem arises.

1. Attended automation - contact center automation, assist agents in navigating through the right process - Guided assist on-screen navigation for call center agents

2. Workforce reporting automation, we extract reports on agent availability and different AUX codes and report to leadership.

3. Plot agent time between multiple applications.

4. Real-time alerts to agents on their AHT & after call work beyond the threshold.

5. Real-time reporting on beyond threshold cases to leads.

6. Processing tickets between CRM & client applications.

1. Helped agents process tickets with minimal errors.

2. Improved AHT as they are able to close the tickets faster.

3. Improved overall SLAs by reducing aging (We use a bot to send alerts on emails & chats to agents who take a long time to close cases)

4. Reduce missed calls we pole the reports and send alerts to TL's on abandon calls in realtime

5. Biggest challenge in attended automation, every time the agent has to log in to control room and execute bot for most of the agents this is a time-consuming activity plus they are not tech-savvy

6. The agent should be able to just click on the UI and the bot should automatically login to the control room and execute the bot.

1. Screen recorder

2. AI capture

3, Ability to create custom forms and trigger another application

4. Ability to run the bot from the cloud without installing the software on our machine

5. AI sense can detect many pages inside the Citrix environment

6. I think the Citrix RDA should be universal for All Citrix environments

7. The A2019 UI layout is more user friendly

8. The recording feature where you can record multiple screens at the same time

9. MS excel functionality has lot of features in the current versions

1. for attended automation, the agent should be able to execute the bot without logging into the control room and triggering the bot

2. There are limited features to automation MS word & PowerPoint will look for more in those areas

3. Include Gsuite based automation

4. limitation on .csv based automation

5. Automations on iframes

6. We want to have greater control on deciding when we want to upgrade to a newer version.

7. Smooth upgrade with no production disruptions

8. ability to manage bots across control rooms

9. Ability to generate reports without using bot insight

I have been using AA for two years. 

It's a stable solution, 10 on 10.

I would give a 10 on 10.

9 on 10.

We started with A2019.

Straightforward for unattended, for attended, it took few rounds of fails as our environment is highly restrictive

Vendor team, 7 out of 10.

1.5

Very flexible.

A2019 has many rough edges from a developer point of view and post upgrades, these needs to be smoothened out.