Automation Anywhere Reviews

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

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

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

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

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

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

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

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

I would like them to include process mining.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

I use it for various IT operations.

Automation Anywhere has significantly improved our organization's efficiency. Across various processes, we have achieved a 90% time savings for each use case, making our workflow much more streamlined and productive.

We used to do things manually, which took a lot of time. Now, with Automation Anywhere, most things are automated, making things faster and better. Sometimes we still need to do things manually, but overall, it has made our work much easier and less prone to mistakes.

To improve Automation Anywhere for the next release, standardization is key. The application should work universally across servers and desktops, without limitations on licenses tied to specific virtual machines. Currently, the one-to-one bot and VM dependency pose restrictions, and a more flexible licensing system would enhance its usability. Additionally, for business users without technical skills, using Automation Anywhere can be challenging. While it is easy to develop automation, deploying and running them requires some technical knowledge. Training is essential to navigate the platform effectively.

Upgrading Automation Anywhere can be challenging. Communication about upgrades is lacking, and an auto-upgrade feature or at least notifications would be beneficial. Currently, there is no automatic check for the latest version, and improvement is needed in providing information to users about updates.

I have been working with Automation Anywhere for a year and a half.

It is a stable solution. I would rate the stability as an eight out of ten.

Automation Anywhere can provide automation at a large scale, but the effectiveness depends on the complexity of the processes, which is common for any ERP system.

I would rate the technical support as an eight out of ten.

Positive

The deployment process is fairly straightforward. Deployment of Automation Anywhere typically requires just one person. If you are familiar with the entire workflow, one person can manage the deployment effectively. Maintenance for Automation Anywhere is minimal. However, due to recent use, aspects like patching and version upgrades are not entirely clear, and occasional manual intervention is needed for tasks like access management.

The price for Automation Anywhere is reasonable compared to others, but there are some feature limitations. Specifically, the ability of one bot to support multiple VMs is an issue, distinguishing it from some other solutions.

In our organization, I see great opportunities to operationalize AI, particularly in the realm of monitoring. Whether it is through comprehensive monitoring tools or leveraging Python for data analysis, there is potential to enhance our operations.

Assessing the learning curve for Automation Anywhere, it takes around a month for non-technical employees to become proficient. While an expert developer might grasp it quicker, providing training is essential for non-technical users to effectively learn and use Automation Anywhere.

Our organization is focused on expanding automation and AI use cases, continually adding more features. Additionally, there is an interest in exploring generative AI to enhance our capabilities further.
We have integrated Automation Anywhere with various solutions, including ITSM, a centralized portal, and several third-party applications.

Integrating Automation Anywhere into our workflows, APIs, and business applications is effective, but it is crucial to ensure a secure network.

Automation Anywhere has been a time and cost-saver for us. Achieving a 90% cost reduction in tasks is a significant boost to resource efficiency and overall cost-effectiveness.

We use Automation Anywhere across multiple departments, but it operates within the same environment and infrastructure, given its public nature.

My advice for those using Automation Anywhere is to start with a less complex use case. It is a good platform overall, but beginning with simpler tasks will help ease into the automation process. Overall, I would rate the solution as a seven out of ten.

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

The solution is helping our customers save time. 

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

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

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

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

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

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

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

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

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

The integration with workflows has only been enhanced over time. 

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

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

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

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

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

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

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

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

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

Positive

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

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

I was involved in the initial setup. 

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

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

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

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

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

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

I'd rate the solution nine out of ten. 

The use cases I use Automation Anywhere for are for healthcare and revenue.

From the customer's perspective, the biggest benefits are automation of the security and monitoring systems. Our automation consumption has increased considerably since we began using Automation Anywhere. Initially, we were using two or three bots. Now, we have almost 25. In terms of revenue, we can save around $10 million through automation. We still have room to expand, and we're looking to implement more bots, especially IQ bots, but we have some concerns about the accuracy level. 

Automation Anywhere is easy to learn for business users without technical knowledge. For example, I don't have much technical knowledge, but I learned how to use the solution from Automation Anywhere University. It's a user-friendly solution everyone can understand and implement in their business with the help of Automation Anywhere University. The university is more than enough to develop a small bot. It's a comfortable platform. Even the new employees who don't know about automation can gain experience. It only took me about one month to learn the solution. 

The IQ Bots have a lot of room for improvement in terms of accuracy level. We need to improvise a lot. I'm facing another big challenge with one of the use cases. We raised a ticket and did multiple follow-ups with support, but the accuracy still isn't up to the mark. 

We've been exploring FortressIQ and tools that use AI/ML in the past three or four months. We're looking at ways to implement those tools in new areas, but there is a gap because Automation Anywhere University doesn't have much information about them yet. 

We have web recording applications, so we need something like AI to be involved where we can give a verbal command, and the bot can learn to do an automated process. That's the kind of technology or innovation required from the business perspective. If a business consultant can interact with a generative AI or some other advanced AI that can act as a developer, the development cost will come down drastically. 

I have used Automation Anywhere for more than six years.

I rate Automation Anywhere support seven out of 10.

Neutral

I don't deal with purchasing, but I know that Automation Anywhere is more cost-effective than Blue Prism. I won't say the cost is low, but I can say that it's cost-effective. 

I rate Automation Anywhere seven out of 10 overall.

We are the implementer and sales partner of Automation Anywhere. We have implemented hundreds of business processes for clients in the banking, insurance, and manufacturing sectors. We use Automation Anywhere to help our clients automate routine tasks.

Automation Anywhere can be deployed on the cloud or on-premises based on the client's requirements.

Programmers with good logical thinking will find the learning curve of Automation Anywhere to be relatively easy. Non-programmers can also learn to automate parameter configurations with relative ease, but they may find it more difficult to automate tasks that require customization or workflows.

Automation Anywhere has helped our clients' organizations during the lockdown period in the last two years, from 2020 to 2021. Our clients who were using automation were very happy because the bots could run while the people were away. We were able to control the bots remotely and scale their businesses. In fact, there are several use cases where we implemented solutions solely for scaling purposes. Our clients used to receive millions of records that needed to be processed within a defined time frame, which was not possible manually. This is where the RPA solution using Automation Anywhere came in. It allowed them to scale up their businesses. One particular use case that I still remember is the insurance for farmers' crops. Farmers need to be issued crop insurance policies within a given time frame, as the crop cycle is typically three to six months. This needs to be done well in advance, and India is a large agricultural industry with millions of partners. The scale of this process is huge. There were some complications involved in this process. For example, we had to connect to bank accounts to verify whether payments had been received, and then connect to the insurance system to issue the policies. Even though I am simplifying it, there were many complexities involved.

It can provide our clients with scalable automation to a certain extent. However, as the processes become larger, the optimization decreases and the performance suffers. This is because of the scaling and the processing that needs to be done. To address this, we also use open-source programming to do the processing outside of the RPA tool and then call those libraries from within Automation Anywhere.

It has many connectors, so we can easily integrate with other applications.

Automation Anywhere has helped our clients increase their automation consumption. For one of our banking clients, we automated 85 percent of their processes, significantly reducing the amount of human involvement and only requiring human interaction in the approval process.

Automation Anywhere is fully configurable. It has several commands that can be used to configure the parameters, and it is easy to use.

Novice users are able to automate basic applications using Automation Anywhere. Business processes are more complex and require experts to be brought in to automate. The automation process can be made more user-friendly.

I have been using Automation Anywhere for eight years.

I give the stability of Automation Anywhere a nine out of ten.

I give the scalability of Automation Anywhere a nine out of ten.

The technical support is good. They stay within their SLAs.

Positive

We have used Automation Anywhere and UiPath, and in one place, we have also used Power Automate. We find Automation Anywhere and UiPath to be very easy to implement. Both products have a lot of features and are configurable. We can connect to any specific data source, such as Oracle Finance or Salesforce, through an API, or we can do desktop automation using either tool. Power Automate also allows us to connect to various data sources for automation. However, it is mostly cloud-based, which is not ideal for our banking and insurance clients. They prefer on-premise solutions. Power Automate does offer an on-premise solution, but it only supports desktop automation. For workflows, we need to use the cloud-based solution. This is a limitation of Power Automate. In terms of cost, Power Automate is much cheaper than Automation Anywhere and UiPath.

Assuming that the infrastructure is in place, the deployment of the Automation Anywhere components, which include the controller, parts, and studios, can be completed within a maximum of five days.

Automation Anywhere is generally more expensive than Power Automate, but they may offer a better price for large volume consumption. 

On a scale of one to ten with ten being the most expensive, I rate the price of Automation Anywhere an eight out of ten.

I would rate Automation Anywhere ten out of ten.

API integration is a good thing. However, it takes longer to implement than RPA. Once implemented, API integration can execute tasks faster. The cost of API automation is higher than RPA because it requires specific programming by experts.

Automation Anywhere itself does not require maintenance. Only the processes need to be maintained, as they may need to be updated to reflect changes in compliance requirements, government regulations, or the underlying systems. Additionally, patches to the Automation Anywhere software may sometimes cause changes to the processes, which may require maintenance. We currently have 150 processes, and two experts are able to maintain all of them.

I am using Automation Anywhere to automate tasks with desktop applications. There are SAP applications, ERP applications, and browser-based applications. The business is related to the airline.

Automation Anywhere helps a lot. It saves time. Recently, we automated a process that used to take 5 minutes for an application, and there were 500 applications. It used to take a lot of time. Now, it takes only 1 minute for an application. The time savings vary based on the process. For some processes, it saves 70% of the time, and for others, it saves up to 50% of the time.

It frees up people from manual and repetitive tasks. They can do other interesting tasks.

Automation Anywhere is very stable. At run time, Automation Anywhere can let you know which line of code the bot is running and what it is doing. It is very clear. It is also easy to debug. When you have some change requests or you have to update the new version of the code to fix something, Automation Anywhere can help you to do the code review. Similar to GitHub, you can see the difference between the two versions. It is very good for that purpose.

When working with Excel, unlike other tools such as UiPath, Automation Anywhere does not have the standard variables for .Net data types. It does not support data tables and many of the data types supported by Microsoft and the .Net technology. When designing automation, you need to use only the few data types that Automation Anywhere supports. For example, when you work with Excel, you need to do many tasks with the data tables, cells, and rows, but that is more difficult with Automation Anywhere than with other platforms.

It is not flexible for custom activities. With UiPath, you can use C#. You can use VB.NET directly. With Automation Anywhere, customization is more complicated than UiPath.

There are a lot of resources available on the Internet to learn Automation Anywhere. They have Automation Anywhere University, but the difficult thing is that it does not have a specific path for a beginner. When I was learning it initially, I had to choose randomly. I could not work out where to start. It is probably better now.

A good thing about Automation Anywhere is that when the bot is running, it displays which line of the code is running, but we also want those logs to be displayed on the web. When we implement an automation process, currently, we have to write the code to archive the logs. That is the thing they need to improve.

I have been using Automation Anywhere for almost 3 years. I am using Automation 360. It is web-based. 

It is stable.

I have worked with UiPath, Power Automate, and a few local automation tools available in our country.

UiPath is easier to use for business users than Automation Anywhere. Automation Anywhere is also not as good as UiPath for custom activities. It takes a month to train a non-technical user on Automation Anywhere. You also cannot directly use C# and VB.NET. If it starts to support all data types in the platform, that would make it easier to learn and use.

We have used Google or Microsoft OCR for document understanding. We have also used the API of a third party to translate the document and email it.

At this time, I prefer open-source solutions because of the cost.

It is deployed on-premises, and its deployment is straightforward.

The deployment of a bot used to take about three days. There were some steps for approval, and we used to manually deploy, but now, my company has CI/CD integration. We run the pipeline to automatically deploy. It is very fast now. It just takes an hour. We just need some approvals and we need to review the package. It is straightforward. One person is enough for deployment.

It is also easy to upgrade Automation Anywhere. It is not difficult. In terms of maintenance, one or two people are enough to maintain the bots. If there is any issue with the bot, we can resolve that within 5 days.

It is not too expensive, but there are many tools available in the market that can provide the same functionality at a cheaper price.

I have done some research on the automation market, and I see that there are many automation platforms. There are also open-source ones. Every organization wants to reduce the costs. Organizations are now considering cheaper platforms such as Microsoft Power Automate. Even my current organization is considering migrating to an open-source solution.

I tried the AI capability, but it did not help me much in reality. I did not find it stable. It will probably get stable in the future. 

We are using APIs for integration. It is a perfect way to integrate.

I would rate Automation Anywhere a 9 out of 10. 

We use Automation Anywhere to process data entry from our government website.

We implemented Automation Anywhere to reduce human effort and cut costs.

Automation Anywhere offers a complete solution, encompassing both development tools and a control room for managing automation.

Automation Anywhere's front end is designed to be user-friendly for non-technical individuals, while the back end remains under the management of IT.

Several of our projects incorporate generative AI, and while we are new to this field, it has proven beneficial thus far.

The integration of APIs in Automation Anywhere is easy and works well.

We integrated Automation Anywhere with some of the business applications which was straightforward.

Automation Anywhere has helped save time.

The license cost is high and needs improvement.

I have been using Automation Anywhere for over two years.

Automation Anywhere is stable.

Automation Anywhere is scalable.

The technical support is good. The few times I called them they were able to promptly address my issues.

Positive

We switched from Automation Anywhere to Power Automate because of the price and more functionality with other Microsoft products.

We were not able to migrate from Automation Anywhere to Power Automate. We had to recreate everything from scratch.

I prefer Automation Anywhere to Power Automate because it offers a more comprehensive set of features, performs reliably, and provides deeper insights.

The licensing cost for Automation Anywhere is high.

I rate Automation Anywhere nine out of ten.

While Automation Anywhere offers training and community versions for learning and experimentation, it is not user-friendly for non-technical users.

No maintenance is required.

I primarily used Automation Anywhere to streamline and automate standardized business processes. This included tasks such as claims handling, policy registration, and document processing from customers. Our focus was on creating efficient and consistent workflows for handling routine documentation flows.

We aimed to solve the challenges of a hands-off, lights-out approach by implementing Automation Anywhere. The goal was to automate processes like claims handling and document registration, minimizing manual intervention and ensuring a more efficient workflow.

Anywhere contributed to increased efficiency, reduced manual efforts, and notable time savings across various processes.

There is room for improvement in terms of costs and procurement considerations. Additionally, aspects like procurement conditions, technical connectivity, and global reach with Automation Anywhere could be enhanced as well. As part of procurement, these factors become crucial, especially in a global operating context where using the platform in various countries is a key consideration.

We started using Automation Anywhere in 2018.

I wasn't entirely satisfied with Automation Anywhere's support. Cultural differences between them and UiPath or DDI were noticeable, and understanding their company perspective was crucial. Despite this, I handled it professionally, and it was generally okay with no major issues. I would rate the support as an eight out of ten.

Positive

Before using Automation Anywhere, we initially explored three different automation solutions. One was widely mandated across the company and had better pricing. The second was used regionally, but the local teams struggled to adapt to robotics process automation. 

When comparing Automation Anywhere specifically, the solutions were acceptable and useful, but pricing conditions and procurement leverage were areas that could be improved. Overall, the transition to Automation Anywhere enhanced our processes. The choice depended on factors like regulations and conditions. Automation Anywhere didn't have the ease of a global solution we experienced with another tool. We also used DDI locally, which was good in quality but needed transformation into a full RPA solution. Comparing Automation Anywhere with UiPath, UiPath was more global, scalable, and had better contract and pricing conditions.

Automation Anywhere requires limited maintenance, and at the time, three individuals were involved in maintenance and implementation. As the applications expanded, there was a need for a gradual increase in the team for ongoing support and enhancements.

Introducing Automation Anywhere to non-tech-savvy business users had its challenges. Some needed training to understand and develop their use cases with technical support, while others already grasped the requirements and could effectively communicate with developers. Managing this diverse group required a centralized approach. Training typically took one to three months, depending on individual skill sets, to bring non-technical employees up to speed on using Automation Anywhere.

We currently use standard RPA with Automation Anywhere, not incorporating Automation Co-Pilot. The challenge is identifying repetitive tasks suitable for RPA. We are exploring whether these functionalities are embedded in existing software or if direct engagement with RPA providers is necessary. The ongoing discussion revolves around the potential future integration of robotic solutions into software. For artificial intelligence, we distinguish between IoT, machine learning, and similar aspects, with development ongoing from both smaller players and major companies like Microsoft. The goal is to combine both robotic and AI solutions for comprehensive automation eventually.

Integration with other tools and applications with Automation Anywhere was smooth, especially for cloud-based applications. We did not encounter any significant difficulties, and the process was straightforward, meeting relevant requirements.

Automation Anywhere provided us with good automation at scale, and we did not encounter any problems with its ability to handle large-scale automation tasks.

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

We use Automation Anywhere to automate all back-office manual tasks, including service case management, support cases, and financial reconciliations between multiple spreadsheets and source systems.

We faced challenges because we were running the on-premises version. It was too demanding on our physical system architecture. Last year, we moved to the cloud, which has improved our landscape. It's better now, but it was tough before. Anyone new to Automation Anywhere will find it much better now.

Before we implemented Automation Anywhere, all of our tasks were manual. Automating them has saved us a lot of time and eliminated a lot of risk. As of now, our run rate is around 15,000 manual hours saved per year.

Automation Anywhere helps eliminate our daily manual tasks, allowing our staff to focus on more valuable tasks.

We have integrated AA with Salesforce, our homegrown platform, ServiceNow, and PeopleSoft.

Our workflows, APIs, business applications, and document automation integration with AA are well-integrated and efficient.

AA has helped us save time.

The code automation platform is the most valuable feature.

Recently, Automation Anywhere acquired FortressIQ, a company that specializes in discovery automation. Discovery automation is the process of sitting down with businesses and documenting their processes and all related information. It is a very human-intensive process. Automation Anywhere acquired FortressIQ to do this work, but the two platforms are not yet seamlessly integrated. This is a pain point that we are currently working on.

I hope that Automation Anywhere can improve its capabilities in the areas of sophisticated unstructured data parsing, contextual routing, and long-running process orchestration. These are areas where AI can be especially helpful. For example, AA could use AI to suggest the next best action in a process and to configure everything in one shot. It should also be smart enough to adjust and move on.

The process discovery side needs improvement. Before we can automate, we must document the current process map and create a process design document. This is a time-consuming and painful process. We have to go to the line-of-business people who perform the operations, sometimes multiple times, to get an understanding of the problem. Automation Anywhere is improving in this area, but it's still not perfect. So, we're relying more on other reliable platforms. The platforms they acquired are not yet fully integrated into the core RPA design platform. This is a big gap. If they can close the gap between discovery and bot development, it would eliminate many manual hours of discovery, allowing the automation team, or COA team, to scale faster.

I have been using Automation Anywhere for four and a half years.

At first, we had issues with the stability, but it has significantly improved in the last six months after we migrated to the 360 version.

Automation Anywhere can scale vertically, but not horizontally. This means that it can add more resources to a single machine to handle increased load, but it cannot distribute the workload across multiple machines. This is a limitation for long-running, complex processes that require state maintenance. However, Automation Anywhere has a roadmap item to release a horizontal scaling solution in 2024.

In other words, Automation Anywhere can scale up, but not out. We can add as many small bots as we want to a single machine, but we cannot distribute the workload across multiple machines.

Technical support is decent. We were previously on a lower level of service support but realized we needed better support and were upgraded to top-level service. It's been better since then. We have a dedicated account customer success manager and architect assigned to us, so we can ping them anytime and they'll chase it for us internally.

Positive

The initial deployment was straightforward. It took six months to deploy ten bots.

The pricing of AA is similar to UiPath.

We evaluated UiPath but AA is more resource friendly and has a shorter learning curve.

I would rate Automation Anywhere eight out of ten.

Our organization's approach and strategy will be to accelerate cross-cutting capability across all technology solutions, including automation. We expect vendors like Automation Anywhere to step up their game to compete. If they cannot compete in the United States, they will not be able to compete in the rest of the world and will be left behind.

We tried to get business users to build bots. We have reports of business users who have built bots. It is easy to get them started, but it is very difficult to get them to build production-quality bots. I am sure that this is a common challenge with any tool or platform. All the solution developers and concepts are theoretical. In reality, they do not work. Business users can build whatever they want, but their bots will not withstand the production infrastructure. Therefore, we need to step in and do the job properly. I do not believe in the concept of business users building bots. It just creates more problems down the line.

The learning curve is around two weeks.

We are starting a POC for Co-Pilot which was formally ARI. At the time when it was ARI, it was not a good feature.

Runners in our local landscape require maintenance.

We have automated PO processing, PO-to-order booking, and various website flows, such as ticket generation, timely uploads of files on the website, and report generation. We have also automated report delivery to all end-users.

Manual efforts have been reduced and the accuracy has increased. In the processes I have done, the accuracy has reached 100 percent, and manual load and time has been reduced.

Object cloning and Excel operations are what we use most.

The ability of Automation Anywhere to provide automation at scale, on a scale of one to 10, is a nine. Integration of its RPA bots using APIs is an eight out of 10.

More and more innovation is going on, and they'll have to keep adding features to keep up with the market. They have generative AI on their platform, but that's a new part. They are working on it. It's not 100 percent foolproof, but eventually it will get better. They need to work on their AI capabilities.

I have been using Automation Anywhere for four years.

The new version is stable now. When we first started, the platform was not stable, but it became stable when we shifted to A360.

If we are stuck anywhere, their technical team is always available. We have raised one or two issues with them and they were able to help us out and turn them around.

We haven't required them very much, but they are available if we need them.

Positive

I've worked with Microsoft Power Automate, but at a very basic level.

The initial deployment is easy. The documentation is clear. Implementing A360 on-premises, a complete end-to-end installation, takes four hours. We just need the server team for administrator passwords.

I had already tested and tried it on a development server, so I had all the steps written that I had to follow for deployment to production. It didn't take much time. I read the installation guidelines and documentation from Automation Anywhere and it was easy for me to do it.

We have about 25 end-users of the solution in our organization, and three of us take care of maintenance. In terms of bot maintenance, not much time is spent unless and until there's a change in the process or the environment.

For business users who do not have technical skills, it is easy to use the product. They understand what is possible with the tool over time. Within a year, they understood what needed to be automated and what not. Training non-technical employees on Automation Anywhere usage takes three to six months.

I did it myself.

It's an ongoing process. I have done more than 400 processes for our client over a four-year period. The time a process takes to automate depends on the complexity of the process. Within three or four weeks, a process is generally completely done, from development to production.

We tried UiPath at the time, but Automation Anywhere was more promising. It was easy to scale the bots in Automation Anywhere, and the implementation using Automation Anywhere was simpler compared to UiPath. However, I've heard from people working with UiPath that it's faster compared to Automation Anywhere. The execution time for Automation Anywhere might be 10 seconds, whereas with UiPath it might take six seconds.

If someone is considering an API integration instead of an RPA solution, that means the API has to be available. Using Automation Anywhere, you can automate any process completely, end-to-end. It doesn't need an API. We can automate front-end, Excel, Word—anything. That is more helpful compared to an API integration.