Automation Anywhere Reviews

The main use cases for Automation Anywhere are customized bots for customers, and lately, we are working with AI through Agentic.

With Automation Anywhere, we have been able to streamline processes for our customers in the logistics industry. Currently, we are increasing efficiency for logistics agents or logistics operators and increasing their productivity.

Running a business with a lot of people is expensive. Agentic AI is going to help us have the same level of productivity but with lower costs. The biggest challenge for the models is to keep track of the context. Whenever the context is too large, it tends to hallucinate. That's something that we're working on right now. Automation Anywhere helps me overcome these challenges through its well-structured knowledge base. We're still looking for ways to improve the context window. The support they provide in helping through every step is beneficial.

Document automation impacts our efficiency and productivity significantly. A part of our key processes is reviewing invoices. It helps us in terms of people who process invoices, allowing them to focus on what really matters, which is approving or denying the actual changes, as opposed to doing data extraction and data entry.

What I appreciate most about Automation Anywhere is the ease of use. Everything is easy to set up. I also appreciate the extensibility that it has.

Automation Anywhere can be improved with better documentation. We would benefit from having better technical documentation that is more readily available.

Having better documentation that is more openly available would help. Often, it feels necessary to contact someone or search for documentation that is stored behind a login or in another location. It would be beneficial to have one centralized place for everything.

We have been using Automation Anywhere for approximately five years.

I have not used another product before choosing Automation Anywhere. We have been using it from the beginning.

The deployment experience with Automation Anywhere was great. It was smooth, and it was helpful that we had somebody already set up the way.

It's fine. However, I'm concerned with the credits in terms of the pricing for the AI models. It is understandable that the new ones are more expensive, but the base models, after doing the pricing conversion, cost about four to ten times as much as paying directly.

Initially, we were considering UiPath, but since we started with Automation Anywhere, we have remained with it.

APA has not yet helped to achieve our automation goals because it hasn't been rolled into production, but it looks promising.

AI Governance is pretty important because we handle customer data. We need to make sure that what we're building is not open to any exposure. We need to ensure that AI is not doing things that are not part of the plan, and there is data confidentiality, and keeping track of information.

I would rate Automation Anywhere a nine out of ten. 

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

I have been using Automation Anywhere for almost six years.

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

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

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

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

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

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

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

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

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

The bots are maintained daily.

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.

We are using this in our college laboratory where I am a professor. We are using it for educational purposes. 

In our college, we are also taking attendance using automation software that we have built. It automatically takes student attendance based on face recognition. We have automated this process.

Automation Anywhere is very useful for automating repetitive tasks. It saves time. Our attendance automation helps take attendance of every person easily. It enables focus on strategic work, boosting productivity.

Automation Anywhere is very easy. It helps in many ways to do more work. It is user-friendly and provides good productivity. It has improved our productivity by at least 10%. 

The best feature is its ability to combine Automation Anywhere with AI to build intelligent bots. It saves time and offers better career opportunities for our students. IQ Bot automation helps to extract data from PDFs and invoices and store it in the database. It is beneficial for students and allows employees to focus on strategic work. 

It is very easy to learn. If you want to do a particular work, you can do it fairly easily. There are drag-and-drop opportunities available, and everything is easily integrated. We can quickly learn and find solutions to our problems. A simple task takes two or three days to learn. A complex task may take about five days.

There is limited scope for complex decision-making. For instance, a bot can extract invoice details, but it cannot determine if an invoice is fraudulent without AI integration. The enterprise version is expensive for small businesses and individual users, which can pose a challenge.

I have been using Automation Anywhere for more than a year.

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

The stability of the bot depends on the factors like design and application changes.

It is highly scalable and flexible. Cloud-based Automation Anywhere offers maximum scalability. I would rate it a nine out of ten for scalability.

In our university, there are more than 500 students using Automation Anywhere.

It has good technical support, but the response quality and availability depend on your subscription plan. They offer standard technical support as well as premium and enterprise support.

Multiple support channels are offered, including documentation, community forums, chat, email, and phone support. Self-service support is also available for all users and is free for everyone. Community forums are helpful but not always reliable for critical issues.

Positive

It is better than UiPath Community Edition, open-source RPA tools like RoboCorp, and Blue Prism. 

Automation Anywhere is very easy to use. It does not require any coding which makes it more user-friendly than Blue Prism. Automation Anywhere is also cloud-based which is not the case with Blue Prism. Automation Anywhere's price is better than Blue Prism.

Its deployment is easy. The deployment time for Automation Anywhere cloud depends on factors such as infrastructure complexity. For a standard cloud deployment, if using a basic setup, the time required is between thirty minutes to two hours.

Ongoing maintenance is required, especially if bots interact with a dynamic application, cloud service, or AI model. We are using cloud services, so regular updates are required. If the UI of an application changes, we may need to update it.

The enterprise version is expensive for small businesses and individual users.

I would rate Automation Anywhere a nine out of ten. It is a great solution for automating business processes and repetitive processes. It works great for data entry, invoice processing, and customer service automation.