Automation Anywhere Reviews

We deployed Automation Anywhere for our clients. It is used for tasks like HR, procurement, supply chain, visa processing, client onboarding, etc. 

Productivity increased when we implemented Automation Anywhere, but it did not meet the client's expectations regarding the number of human workers it replaced. We are currently trying to optimize it to use the maximum potential channels and identify ways to improve performance.

The clients are willing to use AI. They are conservative about it but still progressing in that direction.  The integration of Automation Anywhere into our clients' workflows, APIs, business applications, and documents was seamless, but it was a bit of a struggle until we realized that it has a built-in integration platform. Using the platform, we could define the process so that it also does downstream automation as well. 

Automation Anywhere's central command center is good. We've used Automation Anywhere's AI copilot. It can integrate with around 70 to 80 percent of our client's applications. There are still issues with the other 20 to 30 percent. 

We had some issues with screen-scaping and recording. Also, some of the components are not user-friendly enough compared to UiPath. The learning curve isn't very long if you come from a programming background, but it may be difficult for someone without a technical background to understand. 

We used Automation Anywhere for two years. 

Automation Anywhere is stable. 

Automation Anywhere is quite scalable.

I rate Automation Anywhere support eight out of ten. We get support from local partners. It's good. 

We also use UiPath. It depends on the client's preference.

The initial setup was complex, but upgrading the automations was easy. The bots require some monitoring. It isn't more than an hour daily. We check to see if there are any issues or whether a process has gotten stuck. That's rare. 

I rate Automation Anywhere seven out of ten. There are many more tools on the market that are much better than automation anywhere.

We use Automation Anywhere in a DevOps environment. 

Automation Anywhere helps us resolve some friction between IT needs and business requirements. In an agile environment, the first questions are always: How much money do you have? What is your budget? Automation Anywhere or any other RPA solution can help you achieve your goals within budget constraints by lowering operational costs. It increases productivity and reduces errors.

I like Automation Anywhere's cloud-based nature. You don't need any on-prem infrastructure to host it. If you have suitable infrastructure, you can easily integrate it with Automation Anywhere. The learning curve is reasonable. Automation Anywhere has a user-friendly environment, but digesting all the platform's features takes significant time. 

It's challenging to train users on Automation Anywhere. There should be more organized training sessions. I prefer interactive classes to one-on-one training. You can create super users and organize conferences or workshops where users can learn from experts. Maybe you only have a few of these super users in your organization, so that's why you need to have workshops on a weekly basis. 

I have used Automation Anywhere for three to five years. 

I rate Automation Anywhere seven out of ten for stability. 

I rate Automation Anywhere support seven out of ten.

Neutral

I previously used UiPath at a past job but switched when I started work at my current company. 

I rate Automation Anywhere seven out of ten. 

I have primarily worked in the presales as well as in the sales cycle. I do not have hands-on experience with the tool. I have a team of people who are the continuous improvement folks who work in a particular area. We have developers or continuous improvement people who leverage the tool and go ahead and help to get them deployed. For example, if it is UiPath's process mining capabilities, they basically plug the data and do other things. They do the work, and we ensure that we drive the transformation and build the business connects for the customer. So, my role is very different. I am a management consultant. My core hands-on experience is not with digital tools in itself, but I leverage digital tools to drive transformation for a customer. As part of my role, I understand the features and the value add that it brings to the table. I do quality assurance of the outputs that are generated. I also ensure that teams are able to work in a client environment because they need to be able to access the client environment. I also need to drive transformation because there is a lot of stakeholder management. There is a lot of project management that is needed. I work in that area and that sphere. I am not a technical person as such, but when a tool is deployed, I understand how to execute the implementation, how to drive the discussions, and with automation, how to drive value for my customers. That is my area of expertise.

People primarily use it to fast-track and automate transactional, repeatable tasks. By using Automation Anywhere, people want the execution of transactional activities. It could be the back office. It could be the middle office. I have not seen front office use cases, but I am sure there are use cases for that. I have only seen a lot of middle office and back office activities. For example, in the Procurement area, a typical transactional activity would be PR to PO, where information is readily available. That is the use case where it can be easily applicable. Likewise, in the Accounts Payable area, you can use Automation Anywhere to execute automation for payment processing activities. The finance area has got a lot of use cases. They could be reconciliation-related activities, data-gathering activities from different documents, etc. In some areas of Audit to Cash, it could be even looking up invoices and answering customer queries that are pretty straightforward. These are the high-level use cases that I have seen.

Typically, when you are able to execute any repeatable task in an organizational environment, you enhance organizational AI capability. The reason is that your increased accuracy will improve the predictability of the AI algorithm for getting the job transactional activities completed. For example, if somebody is going to create a purchase requisition and the average turnaround time is five days, with a bot, I can get the purchase requisition created in one day. The organization can check and see what is the rate of improvement or what is the predictability of getting the orders received for producing the finished goods. When you look at the end-to-end view, you get predictability to say when will my goods reach the customer. You get to know that by improving one area with automation and ensuring that the work is done in a repeatable manner, you can improve your predictability by a certain percentage, so any automation of a particular process will improve an organization's AI capability. 

The biggest integration is how it integrates with the system of record. When you automate a process per se, you are extracting information or reading information out of a system of record. It could be SAP. It could be Oracle. It could be Microsoft Dynamics, but Microsoft has its tool called Power Automate. That is one level of system integration. The other level of system integration is where you have a front-facing bot. For example, anything to do with query management or queries that keep coming via mail or shared service portals. These integrations are a little different from the ones that you have with a system of record. Automation Anywhere integrates pretty seamlessly for both types of automation. The system of record integration can be a little bit of a challenge as compared to the regular mail servers or shared service portals because of the permissions and the security checks that are needed. Getting VDI access becomes a little bit challenging because customers sometimes are not comfortable giving full-fledged access during the UAT. It becomes a little bit challenging, but it also depends upon the maturity of the customer and the nature of the business. They are not comfortable giving full-fledged access because it will create problems for them, but after that, when it gets into the live environment, things are a lot easier and streamlined. It has nothing to do with Automation Anywhere. It is just about the maturity and the protocols that a customer has in place. These aspects make it easier to integrate with Automation Anywhere or any other service provider. Based on what my peers have mentioned to me, it is not challenging to integrate with APIs, etc. It is pretty seamless. There are not too many issues. There might have been a challenge in a specific situation, but by and large, in general, the capability it offers is pretty standard for a typical automation tool.

There have been a lot of use cases where we have used Automation Anywhere to save time and costs. Typically, any automation gives you 20% to 30% efficiency. That is what I have seen. That is an average. In some cases, it could be high, and in some cases, it could be low depending on the task and the domain, but 20% to 30% efficiency is typically possible.

Since implementing the solution, the tasks are taking place in a seamless manner. As long as the process is not changed, there is the ease of replicability. Repeatable tasks constantly get done without any challenges. 

There is also an increase in the efficiency of the people. There is reduced turnaround time for responses or getting the activities done.

We work with lots of digital tools, and I have been engaged with teams for the last seven years or so.

They are one of the top service providers for automation. They are definitely stable.

Automations are also pretty stable. Automation works on the fact that you are not changing your process. As long as things are repeatable, every automation software does the same thing. Challenges come when you do upgrades to your ERP, or for that matter, you make one simple change in the process. That is when you have any stability-related challenges.

I believe they can do automation at scale.

It has been a long time since I reached out to them for support. As a service provider, they are always there to provide support. The challenges happen in terms of how the deal was constructed, what was agreed, and where were the gaps in understanding. That is where the issues happen. There are usually many unknowns. I would rate them an eight out of ten based on my experience a while ago.

We work with lots of digital tools. We have leveraged UiPath in the past. We are platinum partners with some of the service providers.

 I know that Automation Anywhere, UiPath, or any other solution has its own specific nuances, but the gap between them is closing up technically. In terms of value, I do see that Automation Anywhere offers value.

The tool selection depends on the partnership deal. It depends on who an organization is considering and the approach for partnership deals. In my organization, we have different partners with whom we work. How you partner with an organization and approach that organization is one of the big differentiators. I know there are not too many players out there in the market. You only have big fours. The key thing is how you are partnering with them and how you are going into the market and taking their support. The second thing is how you are promoting the key capability that you are bringing to the table and how you are comparing it with other people. For example, I know that UiPath has process mining capability, but Automation Anywhere is offering AI capabilities. If I go to a customer and immediately start talking about AI via automation, it is a little drawn-out process for me, whereas with process mining, I can immediately plug and play the data and tell them what are the challenges and for those long run activities, what are my automation possibilities. The positioning is important, but I am not undermining the AI capabilities that Automation Anywhere brings. 

I was not involved in the deployment of Automation Anywhere. I work with the RPA team.

The deployment environment varies. It is dependent on the client's environment. It depends on where your data is and where you are doing the automation. If you are doing automation on the data fabric for reporting purposes and you are deploying a bot to gather the data from specific tables, you might put it onto a data fabric or a data lake. If you are working on PR to PO, that information is going to be on a system of record. It might be on the server itself. It is truly use-case-dependent in my view.

In terms of maintenance, customers typically buy the licenses, but these days, I see that customers prefer to use one main partner for all their licenses because it is easy to manage that one main partner. It could be the largest partner they have in their set of vendors who are supporting them for all IT-related activities. If they buy it from them, they do not need to do maintenance, but if they buy the licenses themselves, they may need maintenance. It depends on whom they are engaging with and what is the purchasing model of licenses.

They all are very competitive today. At the end of the day, it boils down to the negotiations that happen and what type of partner you are. Are you a premium partner or are you a preferred partner or a gold partner? Prices are very standardized. There could be a little bit of deviation, but they are comparable. It is a pretty saturated market because everybody has been doing our RPA for the last decade, so they are pretty competitive in pricing.

Every customer is at a different maturity level. Customers at a high level of maturity of process standardization definitely are looking at the next wave of evolution with generative AI. To do some things in generative AI, there have to be some elements of automation. Companies that are not so mature or the small and medium are not yet there. They are trying to digitize the ways of working. They want to ensure that they have the right framework structure within the organization. They are experimenting with automation, but it is more like a basic level of automation. Mature companies with billions of dollars in revenue have already been doing it for the past many years. They are taking up more of the generative AI opportunity to enhance and go deep into those areas.

I would rate Automation Anywhere an eight out of ten.

We work with partners to implement the application on several customer sites, typically banking, financial security, and insurance. We work as a service provider. It's used, for example, in the banking sector to handle processes and tasks. It helps automate. 

We've implemented more than 3,000 business processes for customers. 

It helps improve performance and helps companies save time and money. Customers have been very happy with the experience so far. We've saved about 10% to 15% of time and costs. One robot can help replace a portion of the workforce. 

The security on offer is very good. 

AI has big potential right now. We're trying to support organizations that want to integrate it. We're trying to increase AI capabilities.

It's a pretty easy solution to use for business users that are not technical. They can learn the tool very fast. In maybe six weeks, even with no previous experience, they can go to the market to implement the service for the client. After a while, they can become very proficient in using it. 

It's easy to integrate with other applications. We can integrate automation into workflow APIs, business applications, et cetera. 

The product has helped increase productivity. 

There could be more training provided by Automation Anywhere. 

We've faced some economic problems based on the exchange rate. 

A major impediment to using CoPilot is that many of our users cannot access the cloud. They need to work with the on-premises version. 

I've used the solution for five years, since 2019.

The solution is stable. 

The solution has been scalable. 

Technical support is good. 

Positive

I'm also familiar with UiPath and IBM RPA.

How easy or difficult the setup is depends on the customer's level of knowledge. Most of our clients are in banking and require on-premises deployments. Even government entities cannot use the cloud. We are comfortable with deployments and find the process to be straightforward.  Sometimes it is difficult to upgrade from older versions. 

We have five people out of a team of 13 that can handle any maintenance. Maybe 20% of our team would be involved in maintenance. 

The pricing of the solution is flexible. 

We did compare Automation Anywhere with UiPath. Automation Anywhere could offer more marketing and training. 

I'm aware of the CoPilot feature. However, we do not have clients using it. We're trying to introduce the tool to the market and to the customer. However, it has the potential to be a good application. 

I'd rate the solution ten out of ten.

Our journey started with a migration initiative with something that already existed in an RPA solution. Then we started expanding and we started going into finance and HR activities. We use it in different entities and have been working with Automation Anywhere to build automation. We're seeing a lot of very good use cases that help deliver very good ROI. 

Our company is quite large. We have several hundred applications and systems, including legacy systems. As part of a recent merger, part of our work is consolidating these systems. There are a lot of challenges. Someone has to manually perform activities, for example, to be an integrator between two systems. We use Automation Anywhere to bridge the gap. Wherever we can find and remove the human from repetitive tasks, we use Automation Anywhere. 

This is a cloud solution. The framework we had before was on-premises. We wanted to move to the cloud, and that was a huge change. We're also able to redesign and refine processes that may have already been in place.

During our migration initiative, we were able to talk to different customer groups and revisit aspects to make things better and do things that may be needed. We were able to effectively optimize the processes and redo what was already in the existing platforms.

There is a lot of interest in operationalizing AI. There's a lot of buzz around generative AI. We've been reviewing different AI services. However, our focus has been more on orchestrating an entire end-to-end process, not just the AI. When we're talking with all the groups, we try to identify which steps can be automated, and add AI into the mix, if it is needed and it makes sense. We've had a lot of opportunities to work within legal, corporate, finance, HR, et cetera, and we're working to bring more use cases into production. Right now, it's all in proof of concept. 

The leadership is very invested in generative AI and doing a lot of research. There's a separate team that does InfoSec reviews. We're undergoing a stringent vetting process. We're in the analysis phase to ensure the data stays within the model and doesn't go outside the LLM for training. 

We are finding opportunities to implement some hyper-automation options. 

Automation Anywhere and even previous versions, which I've worked on, have good core functionality. The core functionality of being able to automate and build a solution that is local and low code is one of the key differentiators that's allowed us to find success. 

It's easy for business users who don't have technical skills. We try to build and help users build automation quicker. We've built a framework around it that's made it easier for everyone to build automation. 

The learner curve for users is okay. The curves are different for end users. We have a large footprint of citizen developers, and some take quicker or longer depending on prior project commitments. It depends on the amount of time they can commit to it.

We've used the automation copilot, which is quite useful.

We have a lot of internal tools. A lot of finance and HR, for example, have specific apps and platforms. We've established a lot of connectivity with other apps. If there's an interest that business users want to start building, we already have the framework in place, which makes integrations fast.

We get a seamless experience when using the packages. There are constant upgrades. It doesn't stay stagnant; there are new features added to it. The consistent growth of the packages has remained seamless.

We save time and money. I can't share exact details, however, we do have good ROI. We track time, compliance, cost avoidance, et cetera. Everything is heavily tracked, and we make it available for leadership to review. 

The improvements have already been rolled into recent releases, like better governance models. From a GenAI perspective, there are good releases like automation pilot and copilot that are already part of the product's release agenda. 

They need to improve the stability of the core functionality. If they keep the core constant and constant, they will continue to thrive. It needs to stay consistent. 

I have a long history with the solution. With my current company, we've been using it since 2021. However, in my previous roles, I've worked with it as well. 

The platform is highly scalable. That's one of the key advantages. We build at first on a smaller scale, and build it up over time. The scaling part has been really seamless. It's been good so far. 

We've had a great experience with technical support. They've partnered with us in terms of the challenges we face. We have a collaborative relationship and have had a positive experience. 

As the product evolves, it would be great to have more support and have them up to date on the latest and greatest. The teams should be constantly upgraded to ensure that if something goes wrong, they can handle anything - that will be important for the future.

Positive

We do use other tools that are low code/no code, such as ServiceNow, SalesForce, et cetera.

Everyone tries to improve their opportunities. This competitiveness has helped the product evolve. 

We've deployed processes within a week, while others might take four or six weeks, depending on the complexity. We have release schedules and release controls in place. Everything is streamlined, and we test before the automation goes live. 

We're on the cloud, so we do not have to upgrade anything. 

Maintenance is more on the partner-owner and device side. There might also be work upgrading and testing packages and new features. We do spend some time when a new feature comes out to test it before we actually upgrade our packages.

The licensing isn't an area I can discuss in great detail. 

I'd rate the product eight out of ten. They have been an industry-leading automation solution provider. They have a lot of experience, and the core functionality is great. Keeping up with the market and putting in new competence into the product - the constant innovation - makes the product impressive. 

We use it for processes related to IT operations in the manufacturing industry.

There are hectic IT processes, jobs that run overnight, weekly, and monthly. We can optimize, rewrite, and automate them. They represent the most important use cases that I have been involved with: IT operations and software for manufacturing.

It has helped our organization increase automation consumption by 20 to 30 percent.

The most valuable feature is the Control Room.

Also, the integration of RPA bots with other processes and documents is good. We don't have any issues there. We could have more connectors, but it's fine. I have used it for SAP and for direct API-to-API, and that went well.

It is good for standard procedures with an SOP. For those, it works well. But there are processes that are tricky and need human intervention and intelligence. In those cases, the process gets stuck. Something that is a straight-ahead process—you do A, B, C, and D—is fine. But when you do A and then have to decide whether to do B or C, where there is a need for logical thinking and human intervention, we find it difficult to automate those cases. We have to break down those processes and do that tweaking.

We would like to see a more seamless UI, and we would like AI help. Wherever we are stuck or there is a logical error, AI help, with prompting and suggestions on what to do, would be good. If I have dragged and dropped something in the wrong logical sequence and it fails during execution, there should be automated AI help.

We use NetBeans IDE where we get something like automated help, but that's a platform for doing standard Java and PHP development. Automated help is coming up more and more in many tools. For example, Microsoft is providing it. We would like to have something like that in Automation Anywhere, with automated debugging and self-help.

I have been using Automation Anywhere for two years.

Overall, the product is stable for SOP-based use cases. It is not very stable for complex use cases.

It is not very scalable for complex use cases.

Their technical support is good overall, not excellent. They can improve the response time and on-call support. We have SLAs, so we need support to be immediate.

Neutral

We did not have a previous solution.

Recently, automation has gone to the cloud, and that has been most beneficial because installation was quite hectic before. On-prem was quite difficult, but the moment they launched the cloud version, it became easy.

With on-prem, there were issues with installation over production as well as the setup of the Control Room. Often, the Control Room would go down or hang, and we would have to do restarts. It was not seamless.

The licensing cost could be improved. It costs a lot. At the very least, the developer licenses and the control panels should be made free to enterprises, and the production environment licensed. Production should bear the cost; we would be okay with that, but not the development side.

Business users didn't find it that easy to use, but for developers who are building the use cases, it's quite easy. For the business users, the issues were standard ones, such as navigation, user friendliness, and the terminologies that they needed to understand. They often require training before using it, and not just one training session, but training and retraining. On a scale where 10 represents a low learning curve and one is a large learning curve, Automation Anywhere is a seven. For non-technical people, it's difficult. For them, the learning curve is a four or five. It usually takes four to five months for them to be able to really use it on their own.

We have developed solutions for IT back-end processes, so there are no end-users. These jobs run weekly, fortnightly, and monthly. There are two or three people involved with it, but it's the jobs that we have automated.

We need three to four people to maintain the solutions, but that doesn't take a lot of time—about four hours a week. It's not something that needs to be done every day. Before the jobs run, they check to make sure everything is okay, that no errors or notifications are coming up. The maintenance is very low.

Automation Anywhere is good but not exceptional. It's good because, for simple use cases, we use it with different technologies. For complex processes, automations should perform better.

We have automated some data entry scenarios. We also have automation for system monitoring. It is being used for data entry, system monitoring, and data exchange with other systems.

We found a lot of processes to automate. We currently have about 80 processes that we have automated. 

Automation Anywhere has helped our organization increase its automation consumption, but we are a little short of RPA developers. We are acquiring new talent and new resources for that group, and we are on the right path. We have a lot of work. 

Workbench, which is a development tool, is very friendly. It is complete. Compared to Power Automate, Automation Anywhere is much more comprehensive and easy to understand.

We use APIs for some bots. It is not too common, but we use APIs in some processes. The integration at the moment is easy.

We work with version 11, and we have some problems with some applications. Automation Anywhere's software does not recognize them properly. The recognition of web applications is not good. The software does not consistently recognize all the controls and objects. We are in the process of migrating to a new version. We are migrating to Automation Anywhere 360, and I hope that in the latest version, the recognition model can be better. On the Internet and various forums, many people say that Automation Anywhere 360 appears to be much better, but we have not implemented it yet. I hope it is better and consistent. The main problem is consistency. If I make a bot today and tomorrow if the application changes, the bot stops working.

Similarly, in terms of the ability to provide automation at scale, the new version is more focused on that. The version that we have is not that capable. The development is not too easy. We need to put in too much effort, but Automation 360 appears to be easier. Development takes less time.

Automation Anywhere is a technical application. It is not so easy for a regular user. It requires technical knowledge. The new version is more user-friendly from an ease-of-use perspective. 

I have been using this solution for three to four years.

I would rate their technical support a nine out of ten.

Positive

We are still using Power Automate, but we are not using their RPA model. We only use Power Automate for other automations. When we chose our RPA tool, Microsoft had not released the RPA tool for Power Automate. Microsoft released it a year or two years later.

We have some processes to analyze the ROI, but right now, we are not focusing on knowing that information. Our main need is automation. ROI is important, but it is not critical at the moment. We are still automating projects in the company.

It is expensive. I would rate Automation Anywhere an eight out of ten in terms of pricing. 

They bill for every IQ bot that you have. We do not use IQ Bot, but we have a license, and they bill for every thousand pages. 

We evaluated one or two other options, but I was not a part of the evaluation.

We did a little bit of research, and we found that Automation Anywhere was recommended at that time. It had better reviews on the Gartner website, so we decided to go with it.

It takes about three to four months to learn it. Some of the things are easy, but because we are trying to do automations, we need to make sure that we understand the application properly. We need to know how it works internally in the structure of the code because sometimes, we make a programming change that works today but stops working tomorrow. That is because the application can change, so we need to understand how the controls work between the changes and have the logic that allows a bot to run smoothly irrespective of the application changes. It is challenging to analyze the changes in the application and find a way to program the bot to recognize the changes.

To someone who wants to use API integration instead of an RPA solution, I would say that API integration is more recommended, but sometimes there are issues with this type of integration, so we have to finish the project in Automation Anywhere. The first option that we always try is to create our own integration between the systems with APIs. The RPA tool is the last option for integration.

In terms of maintenance, we need to install the updates or patches. Our infrastructure team is in charge of that. We have technicians to install patches. We have people with different roles. They are technical leaders or system administrators. We also have an information security team, and we have a network team, as well as an operating system team. Every department makes a little contribution to the whole environment.

For managing the bots, we have only three people. Maintenance of bots is different because we have bots scheduled all day, so we still need to monitor them on a daily basis, but the update process is monthly. We verify what is pending. Overall, the maintenance takes about eight hours a month.

I would rate Automation Anywhere a seven out of ten.

We are using Automation Anywhere for the automation of supply chain management, logistics, and procurement processes. We are automating invoices and supply chain processes.

By implementing Automation Anywhere, we wanted to automate repetitive tasks. Because of this solution, my business is able to complete the work quickly. It saves a lot of effort and hours. It is time-efficient and cost-efficient. It reduces human error and manual effort.

It takes three to six months to realize its benefits because businesses need some time to understand what is the difference, but going forward, with the enhancements, there is a reduction in the cost and errors.

The integration of RPA bots, APIs, business applications, and documents is easy in Automation Anywhere. It is not difficult to get the details from the Automation Anywhere University, learn it, and do it. There is training for everything. For the APIs or document processing, there is limited material, but anyone can still learn it on the go. We have a portal where we can ask questions and get answers or suggestions.

Automation Anywhere has helped our organization increase its automation consumption, but I do not have the metrics.

I use SAP connectors, and I use Excel operations and Windows operations. I also use the OCR functionality and the functionality for sending emails. 

It is easy to learn. There is an assistant in Automation Anywhere, so even a layman can access it, utilize it, and quickly learn it. It is not a problem. It takes a week for a new person to start working on it. It is straightforward. 

There are not many areas for improvement. As compared to V11, A360 is more user-friendly and flexible. It is fine. They have even included support for ChatGPT, Azure, and other things in the latest version. They have incorporated many latest technologies, such as AI, and there is always scope to improve the processes and have more stability.

I have been working with Automation Anywhere for the past six years.

I can rely on it. 

Going forward, I can do more and more automations to save time. I can improve the business processes with the latest technologies as well, so from the scaling perspective, it is good.

I know our team is using Automation Anywhere, but I am not sure whether any other team is also using it. There might be more teams using it. 

We have plans to increase its usage. We are getting more projects.

For me, it is easy. Generally, if I am not able to understand something, I go through the documentation, and I am able to find the information quickly. In case of any issues, I inform the platform team, and they raise a ticket and get in touch with the Automation Anywhere team. They involve me in the issue description, but it is completely owned by the platform team because they do the first level of testing and go ahead with ticket creation and other things. The problem always gets resolved. In terms of time, the duration depends on the availability of the platform team. 

Positive

I did not use any other solution previously.

I was not involved in its deployment. For its maintenance, the platform team is there, and they are doing the maintenance activity.

It is an easy tool and easy technology. It is quick to learn. You can use Automation Anywhere University for learning.

Excel advanced operations are very good. Document processing is also very good. Handling of the web forms and sites is also good. Before using this solution, I thought it would take me time to automate all the processes, but I was able to use it easily.

Automation Anywhere is at the number one position now. That itself proves how good it is and how well it is doing. From the time I started using it, it has been going up. It never went down. There are more features and more technologies coming in.

To someone who wants to use API integration instead of an RPA solution, I would say that you can utilize the API integration in RPA as well. It might be a little faster in the API, but for certain business processes, you need user intervention or user clearance. In such cases, RPA is required.

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