Automation Anywhere Reviews

My basic use case for Automation Anywhere is to ensure that the automation is taking place, and we are also using it for UI development. Additionally, we are using it for bot deployments, which is the main use case.

After implementing Automation Anywhere, we have felt a significant improvement in our processes, especially regarding scaling in the cloud environment we are working in. The cloud feature works effectively after implementing it, along with data manipulation automation for bots and intuitive designing.

We can use AI with Automation Anywhere whenever we are deploying a bot or performing a function. We can integrate multiple AI channels such as ChatGPT, GPT-4, and cloud services, which is the main benefit I love the most. It is a competitor to UiPath, which is a big company. Compared to UiPath, Automation Anywhere is working effectively with its AI compatibility.

For non-technical users, which includes business users, Automation Anywhere is easy to use because it does not require heavy coding knowledge or prior experience. The learning curve is easy, and someone with basic technical skills can easily learn and use it without needing to manually deploy codes or engage in complex tasks.

Our organization uses Co-Pilot with AI integration. Co-Pilot helps us give commands to the automation channel, resulting in outputs that make the job easier. It is a very good game changer in this category, and I would definitely give a good rating to Co-Pilot.

We could see the benefits of Automation Anywhere within 2 weeks of deployment.

We have integrated several tools with Automation Anywhere, including Zoom, Google Drive, third-party channels, and data management tools, ensuring we can easily connect everything needed within our cloud-based network.

There are several things I would highlight about Automation Anywhere, including the AI integration which is exceptional. It has several Generative AI agents that enhance automation capabilities and process orchestration. Since it is based on the cloud, it is a highly scalable product. It is easy to deploy, has a very good UI, and the bots can be easily deployed with no issues. 

Additionally, the cost is really good. If we compare it to UiPath, Automation Anywhere stands out significantly.

The learning curve for Automation Anywhere is quite good, as it does not require heavy learning or extensive training for technical and non-technical users.

If I were to mention one area for improvement, it would be on advanced AI commands, such as advanced coding. While this is not critically needed since Automation Anywhere is doing great, improving in that area could be beneficial.

Other than that, Automation Anywhere is working effectively for me. I currently do not have any complaints and wish them all the luck, as they are excelling in the automation sector.

My organization has been using Automation Anywhere for 2.5 years.

We have not faced any kind of instability, lagging, or downtime with Automation Anywhere after implementation; it runs smoothly and is based off the cloud with a good UI, so there is no issue to report.

I feel that Automation Anywhere is definitely a scalable product, and it has the potential to be even better in the future, especially given its good pricing compared to UiPath and similar products.

While I have not needed to reach out for support much. I did interact with their technical support during the implementation. They resolved our issue within 2 to 3 hours, which was not a major problem. I would rate their support positively.

Positive

I have used UiPath as an alternative to Automation Anywhere; however, we made a switch because it was not cost-effective for our organization. During our growth phase, we transitioned and found that Automation Anywhere is better and more cost-effective.

The initial deployment of Automation Anywhere was easy. Our team, which included eight to nine people, assisted with the implementation and deployment process. It took about 1.5 weeks to complete everything.

Automation Anywhere does not require any maintenance on my end.

For the deployment of Automation Anywhere, my team consisted of eight to nine people, including myself.

The current pricing of Automation Anywhere is fairly priced and has provided us with a good ROI on investment. UiPath and other similar options would typically cost 2X the price, which is why we have chosen Automation Anywhere.

Its cost is good.

Overall, I would rate Automation Anywhere a nine out of ten. It is a good product.

I work for a company, and we mainly automate tasks that we deem necessary, which are often repetitive and mundane. Anything that can be automated to save costs, from the finance and manufacturing perspective, is automated.

We are currently considering how to use it for document automation so that we can read unstructured data, such as invoices, that is a little bit messy and hard for a standard rule-based OCR to understand. We are also looking at an AI solution that could do that for us.

In terms of integration, we use tools like SAP. That is a big one. We have integrated Python scripting a lot. We also use Active Directory.

The advantage of Automation Anywhere is that it automates the mundane jobs that are brainless or take up time out of people's day that they could use to do other tasks. That was the main challenge that we wanted to address by implementing Automation Anywhere. We wanted to free up time in other areas by automating jobs that would make good candidates to do so.

It is built keeping business users in mind. Every single human being who uses a computer uses a UI, so automating those clicks is not a very complicated thing. You are just telling the computer what to do. In that respect, they try to make it as simple as possible to use things like Excel, send emails with Outlook, and automate clicks on a computer. That part is done well.

Allowing business users to trigger the bot means that I do not have to worry about scheduling or triggering the bots. I can just give them the keys to the car and let them do whatever they want to do. It saves time. We spend less time micromanaging and more time developing.

I have heard from people who are using these bots that it is saving them hours every week, every day, or so. They start to see those time savings instantly.

AARI allows business users to trigger the bot, so I do not have to schedule everything. This convenience allows users to utilize it as they need. I can set it up to provide users with a form to fill in all required information, and then the bot operates based on those specifications. AARI is very convenient, and that is their biggest selling point.

I have found that Automation Anywhere is prone to bugs in handling Excel. It breaks and gives vague error messages. I have had a lot of experience with that and learned that it is better to write a Python script instead of using Automation Anywhere's package when dealing with Excel because it is buggy and tends to break, unfortunately.

I have only been using it for about seven months.

I do not remember having any problems. It usually does not lag or crash. Some packages, like Excel, can behave unpredictably, but I have never had any issues with the application itself.

I do not have much information about scalability. When use cases come, I just build them and move on.

Before Automation Anywhere, I used Power Automate by Microsoft. I prefer Automation Anywhere because it is more robust. It allows us to build more powerful applications. Power Automate was great for small-scale things, but it had its limitations.

It was already deployed when I got here.

In terms of maintenance, the updates happen monthly. I do not have to do anything, but there is some maintenance when users want to get connected to run bots. There is a little bit of upkeep that happens there. Other developers sometimes do not have the necessary permissions. That process is not particularly painstaking. It is usually painless. There are two or three of us involved in the maintenance. We spend very little time on maintenance. It does not happen too often.

In our organization, there is a fairly steep learning curve because we have a very particular framework in terms of the way that we handle our bots and our processes. This is likely not the case with other organizations that do not have a similar framework. We like to break down our bots in a very particular way, and we like to control our bots' inputs with configuration files and use Python scripting to handle a lot of work rather than using Automation Anywhere's packages because it is more effective, but then there is a little bit of a steeper learning curve.

I never had to train somebody who is not technical on how to use Automation Anywhere, but you could teach someone how to make something super simple in 30 minutes, and then give them an hour. You can quickly teach them how to send themselves email reminders or do something similar, so you could get going pretty quickly.

Overall, I would rate Automation Anywhere an eight out of ten. It does what it does well.

My use cases include technical service, finance, and IT ops.

What I appreciate the most about Automation Anywhere is its ease of use. The ease of use helps my company by allowing us to roll out automations quickly.

The main challenge I was looking to solve with the agentic process automation, is that we don't have any agentic process automation yet. In the age of agentic AI, probably the biggest challenges for me and my company are determining which direction to head and settling on the right path. Automation Anywhere can help me with that. It depends on the price point; currently, the pricing is a bit high. I am just on the RPA. I have not had a chance to try out the AI agent studio feature of Automation Anywhere yet.

AI governance is very important for my company in general. It is important due to safeguards, making sure that there are appropriate guardrails in place so it does not give proprietary information outside the company.

I utilize Automation Anywhere Center of Excellence manager or CoE manager. My impression of its impact on visibility in the automation lifecycle is so-so; it has good points and bad points, and I have discussed with Automation Anywhere several of the other shortfalls as well as the positives.

We are using the cloud-based nature of Automation Anywhere CoE manager in managing our automation pipeline. I use it to track the progress of various ideas, the solicitation of ideas from our population of managers, as well as to track a couple of projects against our initial goals. We do use document automation in our current processes, yet not in production as we are in the process of one project that's being developed right now.

One way Automation Anywhere can be improved is in ticketing; I have a couple of tickets that have been outstanding for a while, and the support staff have closed tickets without checking with me first, which has been a sore spot.

I have been using Automation Anywhere for five months.

I used Microsoft Power Automate before choosing Automation Anywhere.

My experience with the deployment has been very good. 

My experience with the pricing, the setup costs, and the licensing of the platform has been good with the bots, as well as the support package, but the price points on the agentic side and AI side are rather high.

I did consider other solutions before choosing this one, including UiPath. I went with Automation Anywhere because it was a coin toss between the two, but Automation Anywhere had a better price point.

I switched to Automation Anywhere since it is a better product. 

From one to ten, I would rate Automation Anywhere probably about an eight.

My use cases for it are twofold: we are automation partners, so we use it for customer delivery, and we also use it internally for many data entry tasks and intelligent processing of information, including PDF contracts and so forth.

We saw the benefits conceptually with the RPA, knowing it should work, however, we realized how helpful it is after about a year when we had a few smaller projects internally. We found that it works effectively for us and is trouble-free, though we occasionally need to tweak it due to operating system updates.

One of the things I appreciate the most about Automation Anywhere is that it's in the cloud, so when we are on-site on a project, we collect a lot of data, hand it to this bot, and it runs the function. By the time we reach our destination, whether we move from San Francisco to New York, it's equivalent to 20 people's work in six hours, utilizing quite a few attended or unattended bots.

The licensing model could be a lot less complex, mainly due to their different structures, which are not straightforward. The learning curve, especially for advanced automation, is complex and often requires a software developer, and sometimes there is less documentation, making it harder to navigate.

The challenge comes when we need to move data, such as when we build something in Excel and transfer it to Google Sheets, as the code changes, however, we aim for efficiency, and that advanced automation can be somewhat lackluster.

Our experience with Automation Co-pilot is mixed; it's still in its nascency and not as mature as projected. It relies on the underlying platform, meaning it works fairly on Windows 11. That said, has issues when using it on AWS Cloud, leading to confusion since there are many moving parts with the co-pilot that make troubleshooting challenging.

I have been using Automation Anywhere since 2016 and am still using it currently.

With the newer version, stability is questionable, particularly when a lot of heavy lifting is needed. Still, performance is solid once optimized since the RPA completes its tasks effectively.

Scalability entirely depends on how you design the process automation; it can be run concurrently or in a single-threaded manner, and AI tools can handle all forms of threaded processes without any issues.

I have contacted their technical support. The quality of support is good; they go the extra mile to address problems. Speed-wise, it varies since most staff operates from India. I've been impressed with their response times, sometimes within three to four hours, suitable for customers in the Pacific time zone, and I find the US staff to be very good. I would rate the support a seven out of ten.

Business users find Automation Anywhere manageable to use; since 2016, it has evolved from an engineering tool filled with tech jargon until around mid-2020 to a platform that is much more business-friendly and closer to the customer's mindset, though in comparison to UiPath, there's still progress to be made since it fundamentally operates an engineering company.

The biggest differences from UiPath lie in the designer; UiPath has an easier designer to start with, almost straightforward for selling. However, as you consume UiPath, the costs can add up, while Automation Anywhere does not articulate long-term efficiency. From a product design perspective, Automation Anywhere presents more complexity, especially regarding communication and the number of moving parts.

The initial deployment is not difficult at all for someone doing it for the first time.

Usually, one person or maybe two is required for deployment; while the automation can be built by one person, working with an internal application Microsoft CE or HubSpot through API calls typically requires at least two people to integrate effectively.

Maintenance is not required on the end-user's part, though if it is an attended setup, some monitoring may be necessary because VMs can become unavailable if used for other reasons, leading to a single-threaded heavy load process that runs for an hour but sits idle the remaining 23 hours.

I would rate Automation Anywhere an eight out of ten overall.

We have many use cases. We have 200 bots, and we are doing extensive order management. We work at Cargill, so they do a lot of order management type of bots, but there are many different types of bots for all industries.

With Automation Anywhere, the features we are using help to remove tasks that humans are not good at, such as repetitive tasks. It's this type of task that people don't want to do. With intensive repetitive work, it's prone to human errors. That's what is helping us. It first motivates people not to do this type of work, so they can focus more on the customer and work on things that are more engaging. Additionally, it reduces the errors.

The main challenge that we are trying to solve with agentive process automation is business rules. We have many bots that have complex business rules, and these business rules are usually hard coded.

I joined my company, Cargill, in 2018, and since then, they have been using Automation Anywhere. I have been six years working with Automation Anywhere.

The main complaint with Automation Anywhere is when they release features that they don't have ready.

I did use another solution before choosing Automation Anywhere for the first time. In the past, we had UiPath as well. Also, when I worked for Hewlett-Packard, we were using WinAutomation, which is the one that Microsoft is using now for Power Automate desktop.

The pricing, setup cost, and licensing of the platform are the worst. This is my major concern and complaint.

I have considered other solutions. We are working with Power Platform, which is another vendor we are using at Cargill. We did an analysis last year on cost for the long term. If it works, we might change to that platform in the future.

In the age of agentive AI, the biggest challenge for me and my company is that there are many vendors and companies offering the same thing, which gets complicated and confusing.

I would rate Automation Anywhere overall a nine out of ten.

We have multiple entities and businesses in our organization, which leads to various use cases. Specifically, there are numerous SAP use cases where we perform automation. Additionally, there are use cases with application automation and document automation.

By implementing Automation Anywhere, we wanted to automate repetitive tasks done on a daily or weekly basis and utilize the time saved for other tasks. We wanted to save time and costs.

It integrates well. We have SAP CRM and browser automations. We also have document automations. We also have API integration.

We have multiple bots running. It saves time. If manual invoice processing in SAP takes two to three hours on a daily basis, a bot can do the same job in half an hour. We are saving more than 70% of the time.

The feature that I currently like is Agentic AI process automation, where we use LLM models to automate our processes. I have heard a lot about it. I am eager to learn more about it and implement it in my organization.

It is very easy to use. You do not require any prior knowledge. Through Automation Anywhere University, you can learn it and implement your use case. A non-technical person can learn it within a month. For a technical person, it is easier to understand the loops, conditions, and workflows. A technical person needs only 10 to 15 days.

One improvement would be to implement a log mechanism within the workflow, similar to other automation tools. Currently, the log mechanism uses a text file. If we want to monitor a process, we need to check manually.

Another improvement would be to facilitate copying code blocks between projects, as currently, it is not possible to copy and paste them either locally or on the web.

I have more than six years of experience as an RPA developer and have used other tools. I have been using Automation Anywhere for the past two years.

It is very stable. I would rate it a ten out of ten for stability.

It is scalable. I would rate it ten out of ten for scalability.

We have about 1,700 automation users. We are a big organization with multiple locations globally. We develop automation for multiple departments and multiple entities.

Their technical support is good. I would rate it an eight out of ten.

Positive

I have used UiPath and Automation Anywhere. Both are very good. Automation Anywhere is cost-effective compared to UiPath.

The deployment is fine. It is very easy. 

It is completely on the web. We have our own licensing management tool. Anyone who has done internal training can request the license. A dedicated license is generated for you for a few hours or if needed, permanently. We have a dedicated portal for deploying our projects.

The upgrades are also easy. It does not require much maintenance.

We have multiple communities for automation. We have citizen developers and we also have expert developers. To identify the use case, we approach the entities and ask them to identify any mundane, repetitive, or complex task. We have a perfect pipeline for automation use cases. When a use case enters the feasibility check, an expert assesses its feasibility based on multiple parameters. If feasible, we proceed with development, prepare documentation, and design all solution documents. Next, we prepare the architecture, and development commences. After development, we conduct several rounds of UAT. Before deployment, we conduct a pre-delivery check with a dedicated department, ensuring best practices and proper exception and error handling. Once approved, we proceed with deployment.

In our organization, we are the first ones to work closely with the Gen AI and AI topics. We have a few opportunities to use the Gen AI capabilities in automation.

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

My main use cases for Automation Anywhere include enterprise use cases in travel, banking, and supply chain. It's used for automating back-office business processes that simplify the work of day-to-day business operations.

The AI Agent Studio plays a crucial role in our automation processes as we use it to create autonomous agents, specifically back-office autonomous agents. We use it to automate processes where AI agents call the RPA bots for automation. The bots will call, and the agents will be calling the bots for the action part, while decision-making is done by AI agents. Wherever decision-making is involved, the agents take the lead. If there are pure actions to be performed, an AI agent will call an RPA bot. If there is any knowledge discovery or details to be searched, then it uses context routing or a RAG index. Finally, whatever an AI agent has done goes through a human in the loop for final verification by a human reviewer. This is a business process and AI agents are new, so we have introduced human verification for any actions done by AI agents. It goes through a human review before actually being performed in core enterprise systems such as SAP, ERP systems, booking systems, or insurance claim systems.

The main challenge or objective I was looking to solve with agentic process automation is related to tasks which cannot be purely rule-based automation, such as reading emails or going through content which is more unstructured in nature. When referring to unstructured nature, it could be contract documents, mortgage documents, reading mail messages, or chat messages. In all those areas, we cannot employ RPA bots to perform the automation because RPA bots tend to expect the data to be in a more predictable, deterministic, and more structured form or a semi-structured form.

The Autopilot capability of Automation Anywhere has been more useful in semi-autonomous processes where I need to discover information from enterprise documents, such as policy documents or more enterprise-related documents. Autopilot is particularly useful for back-office teams because it provides more reliable and precise responses compared to traditional search methods. It is useful for teams in their day-to-day processes where they have to refer to information from enterprise documents, guidelines, or fetch information from SOPs.

The AI Agent Studio compliance feature effectively meets our needs by providing a trust layer that enables us to define which LLMs to use, the level of creativity that we can allow, and creative decisions we can allow it to take. It determines what gets revealed to the model provider versus what doesn't, including whether PII and PHI data is revealed or concealed. It also supports potential tokenization of sensitive data. The guardrail modules are beneficial; if the tool doesn't return the expected response, then it raises an error, alarm, or warning. These configurable settings within APA, in the control room, are a good way to start in order to pursue use cases that we couldn't pursue earlier, which were completely manual.

AI governance is very important in my organization, and the AI Agent Studio compliance feature effectively meets these needs. APA helped achieve automation goals, but it's evolving. We have tried simple and medium use cases, and there are more complex, cumbersome use cases yet to be picked up. For now, the complex tasks that we could not pursue through RPA, we are able to do with APA.

Automation Anywhere adapts well to customers' needs. Customers are migrating or willing to pursue more complex use cases requiring AI capabilities, and their platform supports the needs for more complex implementations.

The robotic capabilities are most valuable. The different screen scraping capabilities have been in use for a long time. Their agentic capabilities and AI capabilities have brought many new advancements and features. Their Autopilot, semi-autonomous agents, and autonomous agents have added numerous new features and capabilities. I would rate them high on these features because they have innovated and kept their platform more centered and relevant in the market by introducing these AI and agentic capabilities.

Automation Anywhere is a good platform with extensive capabilities. Their roadmap is promising, especially the AI roadmap. They have good AI capabilities, autonomous agents, semi-autonomous agents, knowledge agents, RAG capabilities, and AI engineering capabilities for faster development.

Regarding improvement areas for Automation Anywhere, they already have strong AI agentic capabilities. The autonomous agents and semi-autonomous agents have decent capabilities, and I don't see any gaps with the way it's been designed. We tried creating agents, autonomous, and semi-autonomous agents with Automation Anywhere, and it is working fine. We see good capabilities and faster time to implement. It has good low-code implementation capabilities, so we are able to perform implementations faster using the agentic AI stack in Automation Anywhere. The architecture and pro-code support for pro-code agents are areas that could use improvement, which they don't have currently.

I have been working with Automation Anywhere for five to six years.

Regarding stability and reliability, Automation Anywhere is good.

For automation at scale, it's a reliable platform. I can implement a large number of automations, and the platform performs well. I don't see any issues with stability or scalability; both are satisfactory. I can scale it in terms of hundreds of bots and configure hundreds of parallel robots easily.

I often communicate with the technical support of Automation Anywhere, and their technical support teams are excellent. They provide great support. Especially if you are a premium partner or a gold partner, you have a very good support option, including a partner success manager assigned to you with good SLA deadlines within which your query is resolved.

Positive

I have participated in the initial setup of Automation Anywhere as they are providing a SaaS cloud model, so the setup is quite easy now. 

In the initial setup, you don't have to invest much effort because they now have a complete AI SaaS module, and even the A360 has a SaaS module. You can subscribe to it and just have things connected. There could be some plugins or certain settings for the local studio, or another local robot which might require certain add-ons and dependency packages. But it's more of an initial effort investment; once you set things up, it works fine.

They offer both on-prem and SaaS cloud solutions, but on-prem may require more effort in setup. SaaS cloud is easier to utilize and configure. Nowadays, most customers are migrating to cloud options, which come with various benefits and ease of setup, including commitments in provisioning servers. Multiple benefits are available, and many customers, including those in the Middle East, are migrating towards cloud setups.

It's affordable because the subscription allows you to use a certain number of tokens from the LLM provider. You only pay for the tokens you actually utilize, and you won't pay more than that. This applies regardless of which service you are subscribed to, whether it's Gemini, OpenAI, Anthropic, or any other provider.

I would rate Automation Anywhere an eight out of ten.

The main use cases that we have currently for Automation Anywhere are for our finance department, where we tend to have a lot of manual labor regarding the whole process of paying for everything within our company. We use Automation Anywhere in order to streamline these processes and make it really efficient for the department to do their internal processes.

What I appreciate the most about Automation Anywhere is that, from a development and developer side, it is really intuitive to do the whole automation, which also makes it easier to do all the support side of the code. It is really great for the user to be able to see everything that is happening in the code, such as what could be wrong or right. 

At the end of the day, the effort that you put in has exponential benefits, giving you many advantages from your lines of code, which is amazing.

One of the problems we have found with Automation Anywhere is that the rollout of new upgrades or tools is not readily available for everyone to know about the new benefits offered. For example, the Imagine event is a great way for everyone to learn about what is coming and the new benefits, but outside of Imagine, it can be difficult to know what is new.

The whole company has been using Automation Anywhere for around four years; I have been using it for around two and a half years.

At Volkswagen Mexico, we just use Automation Anywhere. However, I believe that Volkswagen Germany uses another tool. The decision to implement Automation Anywhere at Volkswagen Mexico was made by Volkswagen Germany. I do not know what considerations they took into account, but they chose to go with Automation Anywhere.

Since Automation Anywhere is intuitive for the developer, it is easier for them to express to the business side of the company what the benefits and opportunities are, making that communication really easy so we can get ideas from the business and then develop them from our knowledge. It is also easier to onboard people onto this tool.

The main challenge with agentic process automation that we are trying to solve is the whole implementation of artificial intelligence within our company, which is crucial because everything that has to do with security and all our databases requires us to be super careful. We are currently facing the issue of ensuring careful implementation while realizing the opportunities for implementing these agentic solutions within our company, which I expect will happen in the next couple of years.

In the age of agentic AI, understanding what all the things that agentic AI can provide for our company means focusing on translating AI technology into actual use cases. The challenge lies in prioritizing and making the link between actual use cases and the tools available, especially since AI technology presents many options but can leave us uncertain about which to tackle first.

We are currently migrating to document automation; we previously used an older version before starting this migration, but we are just at the beginning. In Mexico, where our company is based, we face issues regarding obtaining new licenses, as this has to be done through a third-party company. This limitation affects what we can get because there are certain packages we have to purchase, restricting our ability to acquire specific licenses, such as for testing AI agents, since we must buy the entire package to get just one license. Therefore, that presents challenges when trying new things.

I would rate Automation Anywhere a nine because we want to try new things and incorporate more innovations into our company that Automation Anywhere offers; however, the nervousness about testing them poses challenges, which is the only reason I would not rate it a ten.