Automation Anywhere Reviews

Our primary use case is banking/financial. Processes we have automated include loans, ledgers, mortgage loans, and even some of the record management systems.

In some of our use cases, people were spending more than three hours per day just generating reports. And then we created an automation for this and it reduced the time to 30 minutes. It improves employee productivity so they can use their time in other areas.

I like the way it works with structured data in the back office and the way it does repetitive work.

In terms of ease of use for developers, we're able to create reusable components. We don't want people to have to rebuild things from scratch. In this way, developers can take the reusable components and complete their development processes more quickly.

The bot creation process is pretty straightforward. Anyone can go in and learn it easily, and then they can build a bot. I like it.

When it comes to integrating the solution with other applications, there are some challenges. For some third-party solutions, there are no direct interconnections. For example, there were no direct connections with SAP systems. So, we had to create connectivity between Automation Anywhere and some third-party solutions. They have now improved that situation a lot and we can connect SAP and other systems as well.

If they want to sustain their position in the market, they have to be flexible, working on how we can integrate with third-parties, working on a machine-learning product. People are expecting that and it would be really helpful.

From the IQ Bot perspective, frankly speaking, they still have to improve a lot. I got IQ Bot training in San Jose. My expectation from a straight, technical, architectural point of view was that I would be able to create my own algorithm and integrate it. But with IQ Bot, I am not able to integrate anything. It is already well-defined, so I have to use that particular option only. I know I can not go with any other machine-learning platform. I hope they will be coming out with version 12 where we can integrate it with Python algorithms and other stuff. It might only be in the future, it might only be on the roadmap. But as of now, it is lacking a lot in that area. We are expecting, for most of the documentation, things like tags, that there would be a checkbox option. That's lacking in IQ Bot.

The stability has increased a lot. When we started with version 10.2, there was a lot of instability. There was no way we could keep the bots active, there were scenarios where it became disconnected. There is also the code deployment perspective and a lot of other angles. People are always only thinking from the business perspective, but as a technical architect, I think about operational effectiveness and how they can improve the product's maturity.

The stability has improved a lot.

However, when upgrading, they changed their internal architecture. They moved it to a JT Java platform. When moving, some of the existing features did not work in the new version. It might be that they have to improve their regression testing to improve clients' satisfaction. It can happen that what is running in production currently, if I move to a new version, suddenly is not working tomorrow. People are not happy with that and say, "I want to roll back to the older version." They are not able to use the new features.

When moving to a new version, they have to think about what features people are using and what kind of impact there will be. Small business users will be fine, those who have ten bots or 15 bots. But there are organizations like mine that have around 700 to 1,000 bots, and that makes changes very difficult to handle. It could be that 10,000 tasks are using something and if that thing is changed it will be hard to update. I might have to spend a year on that. People will never accept that.

Scalability-wise, they have increased it a lot, based on the clustering method. As a technical architect, I'm going with always-on production and data centers. That means that if any data center goes down - there is a natural disaster or something else that happens - how do you make it such that you can bring up another data center? I'm coming up with a design for that based on the latest version, version 11.

The initial setup is very simple. It's Windows-based and it's a straightforward installation. We used to say they need to come up with a silent installation option, with the previous version. But now, with version 11, they have introduced, even at the server level, a silent installation. That means we can make it automated instead of manually installing it.

We measure the ROI of automated processes by how much of a benefit we're getting from it. We look at how much time it takes and how many robots we're using and we include the licensing and operations costs. Finally, we take into account how much faster the performance of the bot is, compared to how long it took to do the process before automation.

We have saved time and money, but when people think of going with RPA they cannot expect that they will immediately see ROI. They have to sustain and increase the RPA options. They will have to spend a minimum of one or two years increasing their use cases for automation. Then they will see a good ROI. They should not expect, within three months, to say, "Hey, I have automated, where is the ROI?"

All organizations have a certain strategy or checklist. In this case, management will think first about licensing cost, about the total cost of investment. After that, they will think about the product's features and functionality. They will also look at support. They will consider the use cases, the current processes they have identified already, and based on all that they will decide whether to go with Automation Anywhere or another product.

In terms of our bot creation process, people come to me and say, "I have a process. How do we automate it?" We need to understand if it's a cognitive use case or a straightforward use case. If it's straightforward, we tell them we'll use this product and build it for them with four to six weeks of development. Then it can go to production. If it's cognitive, then we really need to understand it better. We need to use a third-party product, like Kofax or maybe an IQ Bot if it is fit for the scenario. Based on that, it takes some time and then we'll move it to production.

We have a process architecture review committee where we review all the processes. We cannot blindly go forward with all the processes that have scope for automation because it's all licensing cost. We need to think about whether we can automate a given process with any other IT automation solution, like scripting or macros. If that is not possible then we have a fit for RPA. Then we have to go through our checklist, walk through the use cases, and look at the percentage of the automation scope: Is it a 100 percent automation scope or 80 percent or 20 percent? We need to to know if there is any manual validation or manual intervention required and how that is handled.

Initially, we failed with the Citrix automation where we have a lot of use cases. We ran into a lot of limitations with Automation Anywhere in version 10.5. But with version 11, they have AI Sense which we can use for Citrix applications. We are currently exploring this option.

I have taken courses at the Automation Anywhere University and I have advanced professional certification from Automation Anywhere, which I completed for version 10.5. I'm also doing it for version 11. I also have an official certificate for IQ Bots.

At the moment, for us, everything is on-premise. We're not ready to go with cloud. So we have to build our own platform. We have to build our own bots.

I would rate this solution at seven out of ten. They have to improve on the product's maturity level. When they are introducing new versions, they have to conserve the existing commands and features, so that they work when we move to the new version. And they also have to come up with more flexibility, so their solution can integrate with our scripting and our own algorithms. That will make it easy to convince our business areas to increase the adoption of RPA.

In the financial industry, Automation Anywhere helps us streamline tasks by automating processes like invoice entry and employee onboarding, along with many other functions.

Businesses leverage Automation Anywhere to streamline their workflows and minimize operational problems.

Automation Anywhere has empowered our clients to achieve greater accuracy, enhanced control over their processes, and liberated employee time for more strategic endeavors.

Automation Anywhere is easy to use even for non-technical people once they receive the training.

Automation Anywhere is considered user-friendly, with the learning curve manageable for beginners. The available resources provide a solid foundation for new users to get started.

It seamlessly integrates with our daily applications, providing a valuable human-like interaction that enhances the automation process.

Co-Pilot improves productivity by automating tasks like reviewing purchase requisitions, which previously required multiple people. It also allows individuals to manage workloads that once demanded multiple people, allowing them to focus on more valuable tasks.

Generative AI stands out in automation, especially for crucial tasks like invoice processing, where it can extract information, or for tasks requiring web research, going beyond simple rule-based automation.

Automation Anywhere offers integration with various Large Language Model applications, and for connecting these external systems, utilizing their API is the best approach.

Automation Anywhere's document automation, powered by IQ Bots and now enhanced with AI, stands out as a particularly valuable feature. This combination allows for seamless integration of a wider range of document types, streamlining our workflows.

Automation Anywhere's current requirement for upfront annual payments limits flexibility for customers. Offering a wider range of payment options, such as monthly installments, would be a welcome improvement.

While Automation Anywhere's current learning materials cater to junior and new users, senior developers require more in-depth content to effectively utilize the platform's full potential.

I have been using Automation Anywhere for six years.

Automation Anywhere's technical support has a prompt response time, with Portuguese-speaking representatives in Brazil. For complex issues, they efficiently escalate tickets to a global team of engineers for further assistance.

Positive

I would rate Automation Anywhere ten out of ten.

I use Automation Anywhere for SAP, email, Excel, and web automation. We first try to understand the process and check whether it can be automated. Some processes require human intelligence and a human touch. If it's a completely goal-based process, you can consider it as a potential use case. After that, we conduct a complete analysis, based on which we set up the modules and proceed to development. 

Automation Anywhere helps us save time by replicating manual processes so our users can focus on other areas and perform meaningful work. It helps us automate repetitive tasks. We started with version 11. After that, they upgraded to 2019, and now there is Automation 360. Clients were frustrated with version 11, but 360 has a lot of good features. When 360 came out, the clients needed to spend money on the migration because they had to do some testing. 

It has saved the clients time. I would say reduces the time spent on these processes by about 30 percent. I can't say how much they save because I'm a developer and not involved in the business side of things. I don't even know what the license costs.

In one of our client's use cases, the user needed to log in at 6 a.m. because there is a trigger in Salesforce that happens around 9 a.m. Before 9, they have to do all the manipulations and place the files into a particular location. She had to start early in the morning to get all this work done. Now, with Automation Anywhere the bot handles all of this. Her job is so much easier.

I like Automation Anywhere's document automation. It can distill or scan documents and convert the information into a structured format. The solution doesn't require much of a technical background. I'm from a mechanical engineering background and don't have any prior experience with coding. I only know the basics of SQL. Even a business user who is willing to put in some hard work can learn and do some small things. The learning curve depends on the complexity of what you're trying to do. For me, one month was enough to understand the solution. 

We have begun exploring Automation Anywhere's AI features, but we have some limitations. We need to adopt rule-based automation, and there are still some use cases we cannot do. With AI, we can do some more use cases. We have done some POCs, but haven't done any projects where we integrated ChatGPT because we cannot put some of the things as a rule. 

It's easy to integrate automation into workflows and APIs. We just need to know where to pass the parameters or the details. If you have that knowledge, it will be easy.

Automation Anywhere's stability could improve. It isn't completely stable, but it's getting better daily. 

I have used Automation Anywhere for four years.

I rate Automation Anywhere seven out of 10 for stability. 

I rate Automation Anywhere support nine out of 10. I have raised multiple tickets with Automation Anywhere, and they usually respond within hours.

Positive

I previously worked with AutoIQ and Blue Prism, but it was a while ago. 

The deployment time depends on the process. If the processes don't have any dependencies, we just need to move the code to public and schedule it with the necessary configuration. The configuration is related to the process, not to automation anywhere. The processes require some maintenance after deployment. The number necessary to maintain them depends on the client. 

I rate Automation Anywhere nine out of 10. It only requires scripting for complicated jobs, but non-technical users can handle simple processes or those that are moderately difficult. 

There are many use cases. It is simple to automate tasks or processes related to the active cycle for invoices and similar tasks. It is useful for automating processes in industries like manufacturing and banking. The use cases are correlated with the needs of the customers.

By implementing Automation Anywhere, customers are simply trying to have a more standardized process. For example, there is a better quality of data for manual inputs in various applications. They have more rapid processes, and they can free people from repetitive tasks. These are the most common situations that we solve with this technology.

We have not had any big problems with the technology. We have achieved the results that the customer expected. We are usually able to achieve the expected ROI with the processes of the project.

Automation Co-Pilot helped increase productivity. For employees, it was quite good. I did face some problems with the user interface that we had to build to interact with the user. There were some blocks in this interface that were hard to understand. From a business user's perspective, it is quite easy to use. From a technical perspective, it is a little bit harder to build a bot using the Co-Pilot features.

It helped to free up staff to work on other projects. Every time we automate a task, we are freeing user time. They have more time to focus on more complex tasks. They can achieve better results in terms of compliance of the data that they are inputting into the systems. The data is accurate and reliable, and they can do more in less time. They can easily meet timelines for various processes.

In terms of integration, we could integrate the pretty old type of browser web applications without many problems. We usually use various ERPs, such as SAP, Oracle, or NetSuite. We sometimes integrate by using APIs. We have Google Drive or Microsoft Teams folders, SharePoint, and so on. We integrate pretty much everything with Automation Anywhere. For some technologies, there are some libraries for integration, such as for Salesforce or ServiceNow, and for some other platforms, you have to build it yourself.

It is easy to understand how to use the tool. For a developer, it is very easy to understand the opportunities and how to use and learn these features. It is very business-oriented. It is very easy to understand the capabilities and the features that you can use. You should have a technical overview and a technical understanding, but it is easy to understand. A non-technical person can learn it in a month. However, this person must be involved with a technical team. A person cannot understand the implications of using this technology and its architecture on his own. A business person can learn to develop some features but to move to the next level, a business person would need some help from IT.

The main problem that I have with Automation Anywhere is the support. When I have problems that I cannot solve by myself, it is hard to achieve a good result with support. Language is another issue. From a technological perspective, I have not had many issues with Automation Anywhere, but the support is somewhat lacking compared to other technologies I use.

There are times when I have some problems with the cloud. I sometimes experience errors with the Co-Pilot feature that make me feel the system is not 100% stable.

It is able to provide automation at scale. This is one of the best features of Automation Anywhere, but if you want to scale, you need technical support.

Its usage depends on the customers. We have different types of models, but usually, it is used at an enterprise level.

It is hard to achieve a good result with their support team. The support in Europe seems to be receiving less investment, so I usually cannot have support in my language. For some customers, this can be a problem. Some customers speak Italian rather than English. 

Neutral

We have more customers on the cloud than on-premises. I am personally not involved in the deployment, but the initial setup is straightforward. It is not complex. Upgrading Automation Anywhere is easy.

The number of people required for maintenance depends on the number of automated processes. For 20 automated processes, you might need one person full-time per month. This can vary a lot on the type of process that you have automated.

You have to work at least a year on that technology, but obviously, it depends on the effort you make. If you have one developer or five, it makes a difference.

It is reasonable, but it can always be a little bit cheaper.

Those who want to use Automation Anywhere should have at least one expert on their team. This can significantly speed up the implementation process and the understanding of the problems. It can be a game changer. 

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

We are a reseller. We first implemented it for an auto company and then decided to implement it for other customers as well.

We use it for workload automation. By implementing Automation Anywhere, we wanted to automate processes. We have not had any big problems with Automation Anywhere. The problems are in other systems.

Before Automation Anywhere, our clients did not have any other tool. Everything was done manually, and now, a lot of processes are automated by this tool. They save lots and lots of money.

We usually use Co-Pilot for approvals in a department. For example, when the accounting department needs to approve an invoice, we can use Co-Pilot and get the data, accept the data, and get the confirmation for the invoice. It can be automated by RPA. There is about a 5% to 10% increase in productivity because it is not so much stabilized for the client, but there is an opportunity to grow up to 40%. We are now playing a little bit with GenAI. We want to use some ChatGPT stuff and approve it through Co-Pilot. We can then use RPA. It could be a nice process. For example, we are building automation to compare the competitors in the market for a retail company. We can use ChatGPT to get some data from the website, and RPA can then make a comparison of these retail companies. We can then give the information to the finance department, for example, to change the price of the product or something like that. This is a really nice and great opportunity for customers.

The biggest benefit is cooperation with the robots. Approvals are great for us and for our clients. It is very nice for this.

We have mostly integrated SAP applications, and then there are also some specific automations for the customers. They usually have some internal applications that they are using. The integration components that we use vary depending on the target application. Sometimes, we are not able to get the data from the application via API, so we can use the UI automation. It is nice for automating the scraping technology for applications.

The main benefit for which we usually start using this solution for a project is to save overtime for employees so that employees are much happier because they do not want to do overtime. However, after that, when we start automating big processes, they are even able to reduce the number of employees. That is an aspect of automation, but overall, companies can save a lot of money because automation tools can help you save working capacity.

I like the new GenAI and Automation Co-Pilot, which is something like attended automation. It looks very nice now. GenAI is the most valuable to me at this time.

Reporting could be better because there is a little bit of overkill in getting information about the utilization of the bot license. This could be a little bit improved.

We sometimes have a problem with the connection between the control room and the database, but it is not very often.

We have been using Automation Anywhere since 2017.

For a small process, it could be a ten out of ten, and for a really complex process, it could be a six out of ten. That is because there are a lot of different ifs or decisions in the process. If a process is very complex and there are a lot of decisions, that could be a little bit bad for the stability of the bot.

Its scalability is great. You can reuse a lot of processes or roll them into different locations if the process is the same. For scalability, it is very nice. I would rate it a nine out of ten for scalability.

Knowledge-wise, they are great, but sometimes, the timing and the communication with the support can be a little bit crazy. Their knowledge is great, but the timing and scheduling of the calls are not so great.

Positive

We have worked with UiPath and Blue Prism. For us, Automation Anywhere is the winner. We chose it because we see the most opportunities for this tool. It is much more modern than Blue Prism. From my point of view, Automation Anywhere has a bigger price value than UiPath.

It is easy to learn how to automate processes with Automation Anywhere. It is not as easy as UiPath, but it is still easy to learn. UiPath is a bit easier to use because it has the UI and you mostly use the boxes. Automation Anywhere is more technical. It is a little bit more difficult than UiPath, but I understand why. In a few weeks, a nontechnical person should be able to automate a short or easy process.

We have the cloud as well as on-prem deployments. We now have something like a robot as a service. It is a hybrid with the cloud and on-premises setups.

It is quite easy to install it and connect it to the databases. The deployment is very easy.

The deployment duration usually depends on the client. It can take two or three days to set it up properly.

It could be a one-man job, but you need help from other departments to open the connection between the database and the control room and everything like that. The installation itself is a one-man job.

In terms of maintenance, a little bit of maintenance is required. The maintenance is mostly related to the bots or processes. It is not much related to the platform. Sometimes, you need to do upgrades and sort out some issues with the connections. Maintenance of the bot is a bit of a different story. If there is a change in the target system, we have to change the bots. It depends on the changes in the companies.

The maintenance effort depends on the version because sometimes, it is very easy to upgrade and everything is good, but sometimes, you update the platform and you need to change lots of bots. On average, it is easy to upgrade it. We can upgrade it with just one button.

Overall, we have nine people working with Automation Anywhere. Our clients are mostly enterprises.

It can save money and resources. You can save everything. There is a huge return on investment with its license.

I do not have the metrics for the ROI because it depends on the utilization of automation in a company. It could be a 100% ROI in one year. It could also be 1%.

It is somewhere in the middle. The price and value of Automation Anywhere are better than UiPath. The pricing is good globally. It could be a little bit cheaper, but it is good.

I would recommend Automation Anywhere because there is a price-to-value benefit. There are a lot of opportunities to save money in companies or enterprises. It is a very helpful technology, and it can help you to be a better competitor in the market.

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

We sell Automation Anywhere to customers who want to automate their processes within the hospitality industry.

Our customers can deploy Automation Anywhere both on-premises and in the cloud.

It is easy to learn and use Automation Anywhere.

Learning to automate using the solution for simple processes in HR and IT is easy. For areas such as finance, the training takes a few months and requires a technical person to train the team.

Integrating with co-pilot is straightforward when using SAP, Oracle, Microsoft, or other international systems. However, challenges arise when integrating with in-house systems.

Co-pilot helps increase productivity for our customers.

We often integrate SAP, Oracle, and Microsoft with Automation Anywhere. There are no issues with the integrations as long as we configure everything properly.

Automation Anywhere enables our customers to achieve savings of over 60 percent in time and money. While employees may take breaks and vacations, their automated processes continue to operate seamlessly without interruption, ensuring a consistent flow of work.

The ability to automate renewals of government licenses four times a year is valuable.

The marketing for Automation Anywhere has room for improvement.

I have been using Automation Anywhere for three years.

Automation Anywhere can provide automation to scale as long as the organization has the budget for it.

The technical support is great.

Positive

I use both UiPath and Automation Anywhere. UiPath has a more aggressive marketing strategy and a larger market share. However, our banking, insurance, and high-level customers prefer Automation Anywhere over UiPath.

The deployment time depends on the number of processes being automated.

Despite being less expensive than UiPath, Automation Anywhere remains cost-prohibitive for many small and medium-sized businesses.

I would rate Automation Anywhere nine out of ten.

Our customers are all enterprise-level. 

Automation Anywhere does not require ongoing maintenance and offers 24/7 support if any issue arises.

Our company uses the solution for automations. 

As a portfolio manager, the key responsibility is to determine how to use our latest technologies for use cases. We identify use cases in various functions and buy software licenses for them. 

Once we buy licenses, we use the solution for end-to-end discovery of use cases, onboarding in-house technical staff for ongoing management, and collaborations for training or licenses. 

Our licenses are used by our technical team within our Center of Excellence. The team handles the end-to-end work that includes development, testing, quality assurance, and production. We are using the solution to its full capacity. Bots are at an optimum because we want to extract maximum value from our licenses. 

We plan to increase usage once we finish migrating from on-premises to the cloud. 

The solution has helped us embrace more of a digital transformation footprint, bring in efficiencies, and create an internal infrastructure.  

The solution's architecture is very nice. The three components are a bot, a control room, and a bot developer. 

The control room is quite a good feature. It is easy to use and gives you the power to manage your digital workforce. It gives you a sense of understanding in terms of how the audit trail happens. 

The solution should include an analytics dashboard. As the space is maturing, many vendors sell functionalities as separate components so this is not unique to the solution. If I am buying a license, I should at least get a flavor of my analytics with a dashboard related to operational KPIs. Right now, if you want detailed analytics, you need to buy the dashboard separately. This licensing structure adds to the overall cost. 

The solution should include bot insights instead of selling it as a separate license. From the bot and business perspectives, insights are important for operational agility metrics and managing KPIs. For example, I want to how many hours in a day or month a bot runs for human resources when it performs A, B, C, D, and E and gives benefits across D, E, and F. 

I have been using the solution for three years. 

The solution is stable so I rate stability an eight out of ten. 

The solution is somewhat scalable so I rate scalability a six out of ten. 

We get the right support when we ask for it. Sometimes though, service requests are not handled within the timeframe we expect. Issues move in circles until they are placed with the proper technician. 

There is definitely an opportunity to lessen the response time so I rate support a seven out of ten. 

Neutral

I have prior experience with UiPath to a certain extent. 

The setup takes a good amount of time because you have to develop an infrastructure that includes servers and compliance. A lot of time is spent framing those requirements and signing contracts that are quite detailed. 

I rate the setup a five out of ten because it is not that easy.

We worked with technicians from the solution to implement.

There are some difficulties in migrating to a new platform. There are a lot of internal governance forms or approvals that can delay the process. Lots of things need to be reworked as you go through the process. 

For about four to six months, you can take on the fixed paper side to get all the needed approvals. In some cases, the process might even take eight months because everything takes time and other business activities may take priority. Separate contracts need to be created for automations and they are usually handled by another team. Many approvals are needed at all levels of the organization. 

We currently use the solution on-premises but are migrating to the cloud. This process is also not that smooth and requires nudging. We are going back to the drawing board to take another look at things and rework if needed. Most components should be scalable and reusable but we are having a few issues on that front. 

Ongoing maintenance includes our internal team working with two or three of the solution's technicians to resolve issues. The solution's team routes or allocates the right technician to handle our service request. Our internal team supports and helps their technicians to understand our unique scenario. 

The solution is definitely worth the money. It is up to you to add quality use cases and utilize the digital workforce along with the human workforce. The tools are there, but the actual metrics derived are your baby. There are many benefits to automation solutions. 

I won't give 100% credit to the solution. Perhaps UiPath would have given us the same results. The way you use a solution makes all the difference in ROI. 

Similar to how competing products are priced, the solution has separate licenses for features that should be included in a bundle package. For example, the analytics dashboard and bot insights are sold as separate licenses. 

No one wants to buy a product that is too complex because components are sold separately. Give longstanding customers these benefits as icing on the cake. 

The solution is not the least or most expensive. Pricing is good and in the middle so I rate pricing a five out of ten. 

The options were evaluated before I joined the team, but I believe the company also looked at UiPath, Info Sales, and XCL. 

No tool, product, or technology is 100% foolproof. Each has its own set of pros and cons, including the solution. 

The common sales approach across the solution and other vendors is misleading. They make it look like a utopia where you will increase productivity by 200% in six weeks. This is not possible because organizations can't do magic in six weeks. Some of the claims being made by developers or content providers are creating a false impression in terms of senior management. There is no magic wand. There has to be automation. It looks and sounds simple, but implementation is not that easy. Your program, team, and communications management need to move in tandem to give you the inputs or outputs for sensitivities around people, roles, responsibilities, and training. 

It is important to be realistic when launching a new product or partnering with a player in the market. Be open and honest with customers. Don't make things too glamorous because it will be difficult to achieve that expectation. Stop overselling it and just be natural. A lot of consolidation is happening in the space and customers are aware because they read Forrester and Gartner. You can't fool customers so be honest and let them know that the solution needs to be managed by human beings. 

The biggest lesson is to understand the functionalities you need before you buy the solution. Determine if the solution passes the litmus test. Be cautious about overselling it and instead set the right expectations. 

Ask upfront if some additional features can be bundled because that will really help with your automation journey. 

I rate the solution a seven out of ten. 

The primary usage of this solution is for the development of software bots using this RPA solution for various customers, and also for in-house process automation.

Bots have been developed for various domains like Automotive, Banking and Finance, HR, Housing, etc, and across various end-user software like Oracle, SAP, QAD, Terminal applications, etc.

As a first step towards having companies direction move towards emerging technologies, getting the right skillset available for adding Machine Learning, Artificial Intelligence, NLP, etc, so that we could provide a complete end-to-end solution to the customers.

We internally host v11 and A2019 Web CR of this solution for in-house development and training/learning purposes.

RPA was introduced as an emerging technology in our company and Automation Anywhere was chosen as the RPA Solution. Thirdware became an AA partner for reselling AA licenses. Thirdware performs bot development as a vendor using this solution and has automated more than 60 processes to date in various domains.

The Automation Anywhere RPA solution has opened gates for Thirdware to step into providing an end-to-end solution to customers by implementing emerging technologies like Machine learning, Artificial intelligence, NLP, etc.

AA has brought a completely new skill set for entering a completely new domain and being versatile as a service/solution provider.

1. Bank-grade security provided by AA with Credential Vault and Lockers. With the level of security provided by AA, it is a global leader and it becomes easy to convince prospects and turn them into customers.
   
2. Bot Insights provide visibility. Simply tagging variables used in the bot, can provide automated real-time dashboards that are presentable to management showing them a complete view of how the bots are performing.
3. Platform support is very good. AA supports on-premise and all major Cloud providers for the installation of the software.
4. The solution is very scalable.
5. After learning other RPA tools, I can say that AA provides one of the best user experiences with the user-friendliness of the UI.
6. The role-based access controls (RBAC) provided by AA are simple to define and provide clear distinction and segregation of duties and roles, and they help to maintain security.
7. The A2019 bot agent and development on browser means that there is no need to install a thin client like v11 or other RPA tools. The automation development of bots can be performed right from the browser itself.
8. The Flow view and List view for development mean that development becomes much easier, even for newbie users. The flow view and the drag and drop command flexibility is very helpful. The list view is generally preferred by the developers.
9. Workload management and Queues are valuable components. With the WLM module, multiple bot runners can be utilized to perform a single task more quickly and thus help achieve SLAs. Multiple bot runners can be used optimally to divide and perform tasks simultaneously on different machines.
   
10. Inline Python scripting support with A2019 is possible, which reduces a lot of lines of code for programmers. 

Technical support provided by Automation Anywhere is not up to the mark and needs a lot of improvements. Solutions or details provided by L1 support are contradicted by L2 and/or L3 support persons, thus leading to confusion.

The quality and response time of the support, even on Sev-1 tickets, is not satisfactory.

Enhancements or product issues/bugs are not fixed quickly and no ETA is provided for the same.

Working of triggers (email file, etc) in A2019 in unattended mode is a feature that was available in v11 but missing in A2019. I would like to see this feature in A2019.

In v11, RDP-based deployment and auto-login both were possible but with A2019, only the RDP-based approach is possible. Due to this, there is no way to maintain any application open inside the RDP, as each and every time Web CR connects to RDP to run the bot and disconnects, it closes all of the open apps inside RDP and terminates. I need a way where open apps inside RDP must be left open if they are open already.

I have been using Automation Anywhere for more than three years, right from v10, v11 until the latest A2019 release.

All of the bots deployed by our company are working quite stably in production with minimal support required. Unless there are some changes/enhancements to the bot logic suggested by business users, there are no changes or modifications required to the bot to work.

There was a bug in A2019.14 version which did not allow proper bot deployment intermittently. this had led to a major issue on PROD where schedules were running but bot was not getting deployed on PROD runner machine leading to instability. We had raised the concern with AA team and they have addressed the same in A2019.15 release.

The solution is highly scalable, which is a USP of this solution. Adding more creators and runners is a quick task.

I would rate my experience with technical support as four out of ten, due to a lack of responsiveness and the quality of support provided.

This was the first RPA solution that was introduced in our company.

However, personally, I have learned UiPath and found the Automation Anywhere solution better in all the aspects (Features, Releases, User-Friendliness, Cost).

Customers do ask for a comparison of this solution with the competitors in the market but it is always seen that Automation Anywhere is a clear winner.

The initial setup is straightforward if it is done in express installation mode.

Custom mode installation and installations involving SSO and AD authentication are more complicated.

IQ Bot installation requires expertise.

All installations and implementations are done in-house in our company.

ROI achievement for most of the customers is observed from four to eight months from the time of implementation.

The one-time setup cost can be fully recovered with the ROI achievement within six months, provided the implementation of bots is planned properly.

The pricing and licensing are definitely moderate to costly but easily recoverable by achieving ROI quickly.

Our setup cost was only procuring AWS instances but installations are performed in-house.

UiPath was evaluated but it was found that Automation Anywhere is a clear winner and a market leader globally.

AA is a global market leader and the best RPA software to go with, in all aspects. If the AA support improves then this definitely deserves a rating of nine and a half out of ten.