Automation Anywhere Reviews

We have had a number of different use cases for Automation Anywhere. As a higher education institution, many of the use cases have been for back office operations. 

Some use cases include automating expense reimbursement processes. This involves the submission of data after collection, validation of data, and several different steps in that process. 

We are exploring invoice reconciliation and invoice processing as a new use case. Many of the other use cases have been system-to-system data transfer where they don't have APIs, which has been accomplished through UI automation and RPA.

We chose Automation Anywhere to investigate the feasibility of using RPA in place of dedicating other team's time for developing custom APIs between systems. We wanted to tackle problems that we couldn't dedicate resources to solving with custom in-house development and bridge the gap between third-party external software.

The governance guardrails built into the Automation Anywhere platform have allowed us to develop solutions at a pace while adhering to our internal organizational policies.

The scalability of Automation Anywhere, the framework, and user interface are particularly impressive. When evaluating Automation Anywhere versus alternatives such as UiPath for RPA specifically, their tool works exceptionally well. Their customer support model has been fantastic at resolving issues. Security and infrastructure are other significant components why we continue to use them. 

The actual tools on the RPA side have been very nice to work with. When onboarding members of our team, being a lower-code platform with much of it being no code, it has been good to bring people up to speed. It's easy to bring both people from developer and non-developer backgrounds up to scale. Our developers have applied standard SDLC principles towards working within that platform.

With agentic process automation, there are several challenges we were looking to solve. GenAI infused document automation has been of great interest to us, especially in invoice processing for our financial side. With APA in particular, some use cases involve taking complex processes that could have large decision trees, and instead of dedicating time and resources towards fleshing out all those if/then statements or pushing exceptions to human middle processing, we aim to lower that scope and allow for quicker delivery time.

The Composer orchestration tools have been great in developing new solutions. Automation Anywhere started as a pilot at our CMU, where we are at the forefront of numerous computer science areas. It's part of our CTO's mission to embrace automation tools, artificial intelligence, and robotic process automation, bringing internal processes into the 21st century and beyond.

Automation Anywhere helps us overcome challenges in the age of GenAI. The platform has solved our initial challenges as we transition from being a pilot to a long-term customer. With GenAI, challenges revolve around use case identification and implementing AI in processes while ensuring governance and protecting sensitive information, government information, and student information.

AI governance and data protection are extremely important for our company. We are currently reviewing the Autopilot capability and evaluating document automation with AI capabilities for new solutions.

As we expand our components of the Automation Anywhere platform that we utilize, we need better connections between them. Currently, our shell framework, metrics, logging, and guardrails are done at an RPA or Bot level. As we take advantage of other features such as work queues, process Composer, and AI agents, we would prefer to see features around offering frameworks around those models or domains specifically that can encompass all of the subset features that Automation Anywhere offers.

Bot Insight is an available feature, and we can create our own custom metrics and logging in RPA Bots, but we don't want to have to send results to a logging subset bot after using an AI agent or higher components such as document automation. We need a native way in Automation Anywhere's framework to tie all that information together, including AI dashboard, governance dashboards, and document automation results.

We have been using Automation Anywhere for about two and a half to three and a half years.

Their customer support model has been fantastic at resolving issues.

In the RPA space specifically, we have not used any other solution that addresses similar needs before using Automation Anywhere. 

For internal technologies prior to implementing RPA, we had various solutions. For table-based and database-based operations, users were using spreadsheets. 

We are now able to convert certain things to databases, even without native APIs for certain software platforms, because we can leverage Automation Anywhere to bridge the gap between disconnected systems. In the specific landscape that Automation Anywhere competes in, we haven't used direct competitors. 

We have been replacing software developer adjacent technologies, custom script solutions, and low code/no code platforms with different features from Automation Anywhere.

Standing up the service itself had no significant challenges. There were a few small challenges, however, nothing significant that were nonstarters for us. Our teams were able to work around any issues. The biggest thing we had was was enabling SAML authentication to work with our identity management services. 

Other than that, standing up the service, connecting the host controller to our local VMs, etc., that was easy. There was a little bit of network stuff, and some of DevOps stuff. Thankfully, we have a great DevOps team. Working with Automation Anywhere is largely straightforward and seamless.

We have been happy with the pricing, setup costs, and licensing of Automation Anywhere so far. There is sticker shock with many new features, however, we definitely think that the end results can more than justify the cost. We are evaluating the use case and the resources needed to stand up solutions using some of these features. 

The cost versus return for the traditional out-of-the-box features has been very reasonable.

Since the evaluation phase, we have not considered other solutions that do the same as Automation Anywhere. We have been extremely happy with Automation Anywhere. The tools provided for the cost, scalability, robustness, and infrastructure have been very satisfactory, and we have not had a significant need to evaluate alternative platforms. 

This may not stay that way forever as this is an ever-changing landscape, but for the foreseeable future, we don't see ourselves evaluating alternative platforms.

On a scale of one to ten, I rate Automation Anywhere a ten.

The main objective of using Automation Anywhere is revenue cycle automation and our tie-ins with the hospital allow us to work in different parts of the revenue cycle. It specifically automates either patient info collection, Medicaid submission, and similar tasks. It is all contained within the revenue cycle, which represents the main services we provide to our clients.

What I appreciate the most about Automation Anywhere is that the tool is very robust. It can handle buttons moving around and any elements changing. It makes the process super easy to maintain and, in terms of tracking failures, it is improving. It is very good for new websites, identifying elements effortlessly.

My main issue with Automation Anywhere might be the logging of bots and getting more detailed feedback of what my bot is doing, step by step. It is hard to track fine-tuning in larger codes.

I have been using Automation Anywhere for maybe a year and a half to two years now, or rather I have been using it since I joined.

Automation Anywhere definitely allows us to provide more reliability and affirmation to the client. For every client we successfully automate, it is a checkmark in our book to show that we have a huge skill set of bots and different capabilities.

Having them operational month-to-month and reporting that they work is a very good confidence booster, especially with smaller hospitals when this is the only grant they can invest in. Once development is done, the bot is relatively stable. It does have some discrepancy with older websites but performs really well with all new websites, current revenue cycle automation, or any submissions we have to do. It reduces the pressure of maintenance significantly because even with numerous website changes, the maintenance becomes negligible for us.

When bringing Automation Anywhere, we were trying to solve the time taken in these processes for hospitals. We aim to improve how fast they can charge their insurance or patients, ensuring they hit their revenue targets. We are expanding into other fields, still centered within healthcare. Having these small working components and consistent bot performance brings in the next client, which is a significant goal for us.

In my company, I have not used another product that does the same as Automation Anywhere, but I have studied and used UiPath briefly. That was about two and a half to three years ago.

When bringing Automation Anywhere, we were trying to solve the time taken in these processes for hospitals. We aim to ensure we can improve how fast they can charge their insurance or patients, making sure the revenue part is properly managed as that is what we are ensuring they hit.

Our team is based on two engineers and one team lead.

For every client we successfully automate, it is a checkmark in our book to show that we have a huge skill set of bots and different things to accomplish.

Regarding the pricing, setup cost, and licensing of the Automation Anywhere platform, I have limited experience in answering as I do not represent the company in this aspect. From what I have heard from my team, the basic pricing seems to work for us.

For larger scaling pricing of other features, we need to bring in more clients and a larger volume to justify the potential cost of the license. Every automation license is specific for each hospital since we cannot share files or security due to HIPAA compliance requirements. Currently, we are able to bring in clients in the current price range, though it is becoming more challenging.

We are among the smaller scale clients for Automation Anywhere. The AI component is something we are still not utilizing much because it is difficult to justify the license cost to our clients. In the healthcare sector, there is hesitation to implement AI due to security concerns and a preference for manual processes during their initial step into automation.

A-People platform is particularly helpful for discussions and finding solutions to issues. The support team provides regular updates and maintains good communication even in uncertain scenarios. The platform has a growing repository of answered questions, similar to resources available for other programming languages.

We use OCR extensively, particularly for older websites and legacy systems where button identification is challenging. We have three active builds in production using only OCR, which demonstrates the robustness of the system.

On a scale of 1-10, I would rate Automation Anywhere 7.5 to 8. While I might rate it slightly lower as a developer who works with it daily, most of my team would likely rate it 8.5 to 9 because it effectively meets our needs and critical client requirements.

Our primary functionality is built around screen scraping applications. We collect data from one application and either generate reports or use it to complete a user transaction or a customer transaction. For example, I have automation that handles bill pay. A request comes in, we verify it, and then we execute a bill payment transaction.

When we first started, the motivation was not wanting to be left behind in the latest and greatest opportunity for automating desktop applications that are boring and time-consuming but are still very important for the company's business operations.

We were able to see its benefits immediately during our proof of concept five years ago. We were able to take five users of daily work and reduce it to one user of support work. It was very significant.

Prior to implementation, these processes were done by the business units manually. Post implementation, the solutions are IT-based. As a result, IT now has additional responsibility for the business automation, just supporting the business function. It is one thing to build the software. It is another thing to maintain it and keep it running in production. There is a pretty significant lift or burden on the IT side that was not there during the manual executions.

I like the diversity. Every year, maybe even every six months, new modules are introduced to the program, and module enhancements are added to the toolbox to make automating various applications or situations easier. For example, the email module has been enhanced over the years to support all the latest authentication technologies. That is very important as we move away from username and password and embrace multi-factor authentication. Without the ability for these modules to stay in sync and up to date, we would not be able to use them. 

On the document automation side, the document learning features are not as robust as one would expect them to be. When I am doing document automation and a document fails due to low confidence in populating a field, it requires manual correction. Automation Anywhere states that if I correct enough documents, over time, the automation tools will learn where those error situations are and automatically fix them. We have not seen that feature work as advertised.

I have been using Automation Anywhere for roughly five years.

We have not had any issues. I am very impressed with its availability.

It scales quite well. I have not found an application that has exhausted the capacity of the system to execute. If we need to handle more transactions, we simply need to add additional bot runners. We currently have three bot runners in production. If we needed five or ten, I could have five or ten in a couple of days.

On a scale of one to ten, I would rank their technical support group a nine.

Positive

We have two other solutions in-house other than Automation Anywhere. They are very specific to the tasks they are handling.

It was pretty easy. I took a proof of concept that took nine months to build. Since I could not copy it from the proof of concept environment to our brand-new tenant or control room, we had to reprogram it. The reprogramming and testing took three months. Now, if you put all those numbers together, you probably could say it took us a year to build that first application.

It requires operation execution maintenance by my company and my IT group, but it does not take any Automation Anywhere resources to maintain it now. They maintain it at the cloud level and do a good job.

Two people were involved in the implementation.

The pricing is fair. My company is part of a big organization, so the pricing is very advantageous.

Five years ago, we evaluated four products, and Automation Anywhere emerged as the top choice. It offered the best cloud solution compared to the other vendors or providers. Now, if I took those same four vendors and evaluated them today, I might come up with a different answer. The industry has changed drastically just in the last three or four years, and if we did a reevaluation and could start over, chances are everyone, including Automation Anywhere, is on much better footing today than they were five years ago.

In terms of our AI approach, we are very cautious with AI. We are a Microsoft shop, so we are limiting our AI exposure to an Azure tenant-based AI resource. We are probably building our own LLMs to manage the intelligence or the exposure of intelligence to the AI engine. I do not see us ever using external AI modules.

On a scale of one to ten, I would rate Automation Anywhere a nine. 

I utilize Automation Anywhere for automation purposes. Recently, I completed a project for a client in the telecom sector. The project involved automating their monthly bill review system for customers. Previously, this system required on-site employees to check millions of invoices each month manually. A dedicated department then verified these invoices, sent them to customers, and verified payment status after payment. This process was time-consuming. We used Automation Anywhere's RPA and OCR capabilities and the AI document processing module to analyze document structures and verify tabs. We then automated various steps like accessing the portal, applying checks, and sending invoices via email. Now, the entire process is automated, triggered by a robot each month.

The main challenge which organizations want to address through any implemented RPA solution is the repetitive nature of their tasks. Instead of having ten employees perform the same monotonous task from nine to five every day, a single RPA robot can handle the workload, freeing those employees to focus on tasks that require human intervention. Automation is ideal for repetitive tasks, such as processing millions of invoices monthly, which can now be managed by a few RPA robots working around the clock. This allows employees to explore new opportunities, which is the primary goal of automation and the main reason for using RPA or any automation technology. Most automation technologies have features that enable this shift. However, automation is not suitable for all tasks; tasks requiring approvals or human judgment cannot be automated.

The deployment model varies depending on the client. In Pakistan, I worked with several clients using ABL who opted for cloud deployment. However, clients dealing with highly confidential and sensitive data, such as banks and telecommunications companies, prefer on-premises solutions. In contrast, clients in sectors like healthcare might be more open to utilizing cloud infrastructure.

Automation Anywhere has enabled repetitive tasks previously done manually to be automated.

Regarding RPA, ever since generative AI was introduced, we have ChatGPT and Google Gemini. The advent of these generative AI models has shifted the automation landscape. Automation has moved from Robotic Process Automation towards Intelligent Process Automation. The difference between RPA and IPA lies in their ability to handle changes. For example, if a website form changes its layout, a traditional RPA bot might fail because it can't identify the fields or buttons in their new positions. However, with IPA, the bot is intelligent enough to understand the fields' requests and can still process the data regardless of UI changes. Besides this, numerous other IPA use cases leverage Large Language Models and generative AI. For instance, a company could have a trained dataset monitored by an RPA bot, which then uses generative AI to create and send daily reports to top management, analyzing current numbers concerning past performance. This is a fascinating area that I've been exploring and working on lately.

For business users without technical skills, automation is achievable depending on the complexity of the task. Simple processes like sending custom emails from an Excel list can be easily automated with basic tutorials. While time and practice are necessary for mastery, basic automation can be initiated with just a few introductory videos.

We recently started using Automation Anywhere Copilot, so we haven't had the opportunity to integrate it with many of our automations. However, we have integrated it with SAP, where the bot reviews SAP data and provides the user with the required information at runtime. I have utilized this feature, and it's quite interesting. They also offer integrations with many other software, so the integration level is relatively high. Regardless of the type of features the business uses, whether they are using Salesforce, Microsoft Dynamics, SAP, or even AWS, integrations are available. They provide custom APIs that can be used for integration.

Automation Copilot helped increase our productivity by 60 percent.

Copilot has enabled staff to focus on other tasks by automating processes. For instance, the business department aimed to automate 350 processes this year, but by September, they had already surpassed that goal with 370 automations. Similarly, last year's target of 250 automations was exceeded, reaching 300. This increased efficiency has significantly improved workflows.

Our primary application of Generative AI for our telecom client is to detect service outages, such as when an area experiences a loss of service. We've been strategically planning our Generative AI approach for this year and the next, focusing on utilizing RPA to identify potential solutions and valuable insights within our data. For instance, in the context of outages, we aim to pinpoint the areas with the highest outage frequency, understand the reasons behind those outages, and correlate that information with customer complaint data. By analyzing metrics like complaint resolution times and outage resolution times, we can create a benchmark that helps us identify areas where we can enhance our customer service.

The amount of time Automation Anywhere helps save is dependent on the automated task. For example, the bill review task we automated helped save 10,000 hours per month.

We have several custom ERPs used internally but primarily rely on Microsoft Dynamics. We have a BCRM portal built on the Dynamics portal, hosting both our BCRM business-facing and CRM customer-facing systems. We also utilize Excel with VBA macros and other platforms, including Kofax for OCR. Kofax's Arabic language detection capabilities are crucial for processing UAE ID cards containing Arabic text. Kofax is our organization-wide OCR solution, integrated with Automation Anywhere. Overall, we have integrated Automation Anywhere with various software solutions.

Integrating Automation Anywhere into our workflows, APIs, and business automation is simple. RPA functions like a digital employee, and we can instruct them to perform tasks. Any activity currently done by a human employee can be done via RPA. However, the crucial question is whether it should be automated. If a task is performed infrequently, such as once every six months, creating an automation is inefficient. The time spent developing the automation could be better used to complete the task manually. Automation is ideal for repetitive tasks performed frequently. If a task isn't repetitive, automating it might not be beneficial. Regarding the capabilities of automation, nearly any work an employee performs on an organization's system has the potential to be automated.

Automation Anywhere has a persistent click-related issue that can make automation difficult, particularly in unattended environments. Even the Automation Anywhere team is aware of this problem, which has existed for several years. When automating tasks on a website, clicks may not work as expected in an unattended environment despite functioning correctly otherwise. The Automation Anywhere team has had numerous meetings to address this issue, but a solution remains elusive.

I have been using Automation Anywhere for almost four years.

Automation Anywhere's ability to provide automation at scales is dependent on how well it can integrate with every platform. I would rate the scalability seven out of ten.

I compare all other RPA tools to UiPath, which has excellent support—I'd rate it ten out of ten. In contrast, I'd rate Automation Anywhere's support six out of ten.

Neutral

In addition to Automation Anywhere, we also use UiPath, and Power Automate.

It ultimately depends on the client's preference for an RPA solution. In my opinion, UiPath remains the leading option in the market, unmatched by any competitor. Automation Anywhere currently holds the second position, but I anticipate Power Automate surpassing it in the future. However, UiPath is considerably ahead of the competition, leaving Automation Anywhere as a distant second. While Automation Anywhere is a suitable alternative, UiPath's high pricing can be a factor in the decision-making process. A lot of our clients choose Automation Anywhere because it is cheaper than UiPath to implement. Power Automate is the solution often chosen by businesses that already have other Microsoft solutions integrated into their environment.

The primary distinction among these RPA tools lies in the connectors and capabilities offered by Power Automate. Many businesses already utilize Power BI and Microsoft Dynamics, with most BI-related software relying on Tableau or Power BI. While some smaller-scale operations may still use Excel for dashboards, it's becoming increasingly uncommon. Power Automate's built-in custom connectors for Microsoft products provide a significant advantage. Overall, Power Automate has proven to be a game-changer, exceeding expectations with its features, custom connections, and level of support. While not currently the case, it's conceivable that with further enhancements, Power Automate could eventually surpass Automation Anywhere in the market.

While I wasn't involved in the initial deployment, I contributed to the migration from version A11 to A360. This was a major undertaking, spanning six months and presenting numerous challenges. Despite encountering various issues, we ultimately achieved a successful migration.

Cloud deployment is straightforward, while on-premises setup requiring server configuration can be challenging. A cloud deployment typically takes no more than one business day.

We have two teams: the operations team and the development team. The operations team handles deployment and typically consists of one or two people. The development team's size varies depending on the number of processes requiring automation. For fewer processes, one developer may suffice; however, we may engage five or even six developers for numerous processes.

Automation Anywhere provides good cost savings.

Automation Anywhere's price is considerably better than UiPath's.

I evaluated Robocorp from a POC point of view.

I rate Automation Anywhere eight out of ten.

Challenges in implementing Automation Anywhere depend on the process being automated. For instance, if your organization adopts Automation Anywhere, infrastructure won't be the primary concern as their cloud setup is straightforward. The real challenges lie in the processes themselves. RPA automates processes, so if, for example, in bill review, some invoices are unclear due to being scanned images, the robot might struggle to process them correctly. This is a process-related challenge, not an RPA implementation issue. To address this, instead of incorrect automation, we set a confidence threshold, say 80 percent, below which invoices are flagged for manual review. Thus, RPA implementation focuses on the process itself. Businesses have numerous processes across operations, products, clients, and consultations. The key is to identify these processes and determine suitable solutions. RPA involves instructing the robot on the required steps, which it follows diligently. However, even if ten employees perform the same task, each might have their own approach. Therefore, understanding the process from the user's perspective is crucial to identifying the optimal workflow. This ideal process is then programmed into the robot, ensuring consistent execution. It's important to remember that RPA, including Automation Anywhere, has limitations and cannot deviate from its instructions or make independent decisions.

Automating more complex processes requires a deeper understanding of coding concepts like loops, regardless of the automation scale. I teach UiPath Studio X, which is designed for business users without a coding background. It is a good starting point. Training in Studio X includes teaching basic coding concepts, emphasizing their connection to familiar Excel functions. This approach helps users understand the logic behind automation and bridge the gap between their existing skills and new concepts.

The learning curve for RPA automation, depending on your desired level of mastery, is manageable. It is key to understand all the features and how they work, including the AI-powered ones. Basic RPA automation can be learned in about four to five months, allowing someone to start working as an RPA developer. However, working on an actual project for a year or a year and a half is recommended to become a true expert. This provides ample time to learn the ins and outs of Automation Anywhere, understand the challenges, and develop solutions.

Upgrading Automation Anywhere to a newer version on the same platform is straightforward, but our migration from the obsolete on-premise A11 to the cloud-based A360 required moving every single business process, which was time-consuming. Apart from that specific migration, version upgrades are generally not complex.

Bots running on a cloud platform require continuous maintenance. While the cloud platform can monitor the bots, human oversight is essential to identify and troubleshoot issues like crashes. Large clients may necessitate a dedicated maintenance team working shifts to provide 24/7 monitoring and support. These teams typically monitor the bots' control room on a separate screen while performing other tasks. In the event of a crash, they investigate the cause and, if unable to resolve it, escalate the issue to the development team for further assistance.

I started in the other company with the manufacturing processes for logistics and finance. Now, I am implementing processes for finance and human resources. 

My challenge is to use Automation Anywhere for automatic manufacturing and services. I always push my finance team first, and they have to improve the financial processes before we use Automation Anywhere.

Automation Anywhere is helping us improve processes, as it can handle specific improvements. As we can execute the same processes, it is now easy and fast. With the APA, we can improve more processes. As the processes are more automated and easier to use, it is faster to gain value. Automation Anywhere is helping me overcome these challenges.

Comparing Automation Anywhere with other tools for RPA, in my opinion, it is better because it is easier to use for both the final user and the developer. This gives us many benefits because we can automate the processes more easily. 

APA has helped me achieve my automation goals. It's helped us achieve some of our automation goals. It's made things a lot easier. We have integrated the APA and RPAs with SAP, with Salesforce, and with many data sources. 

I'm using the AI agent studio in the automation process.

I utilize document automation in my current processes. We introduced automation, and where we previously had to use many letters, we now use only documentation.

AI governance is very important in my company, and we are implementing it now. I discovered this company three years ago when I studied the RPA tools. AI governance and data governance are not currently implemented.

There is no need for improvement right now. The AI is very important, and they are starting to use AI. They could continue to develop it out. Innovation is very important.

I started to use Automation Anywhere five years ago when I was working in another company. 

The deployment depends on the processes being put in place. Normally, it is straightforward. 

I do not have the correct numbers to calculate ROI, however, overall, it has been very efficient. The time saved in document processing is good.

The pricing is a little bit high compared with other tools. Of course, some tools may be much cheaper, however, the offering isn't as robust.

For our internal policy, before implementing a new project or new tools, we have to evaluate technical skills and make a comparison with other tools. We did evaluate Automation Anywhere and UiPath. Between Automation Anywhere and UiPath, there are pros and cons. Automation Anywhere is easier to use for final users and developers.

I am utilizing the AI Agent Studio in my automation process. My impression of the AI governance features in maintaining compliance and data integrity in my company is that all the automatic processes are similar to processes made by humans. Only in specific cases do we have to use the compliance process with government; in most cases, enterprises would have to accomplish specific requirements. It is not usual in these kinds of processes to have compliance.  

I would rate Automation Anywhere a nine out of ten. If the price were a bit less maybe I would give it a ten.

As a consultant, I have worked with various clients, including banks, insurance companies, healthcare providers, and different tech companies. Each company has distinct use cases. RPA tools are capable of automating any task. We usually automate processes that are repetitive. Automation is always rule-based.

Co-pilot certainly makes the job easier if the client has a subscription. It allows me to analyze desktop flows and activities and create flows using natural language. Natural language processing using LLMs has become an integral part of IT. This tool lets me create flows using natural language, repair automation errors, and answer product-related questions. It is there to assist us in creating automation tests, CI pipelines, etc.

There are many areas for improvement, especially in the developer environment. Providing a desktop version rather than focusing on the cloud is essential. Only UiPath offers a studio environment for desktop application development. Automation Anywhere lacks a desktop version and is solely web-based and cloud-based.

Automation Anywhere is not so easy for business users who are not technical. It is at the medium level. UiPath also provides UiPath StudioX to enable business users to automate easily.

I have used Automation Anywhere for four years. I have also used UiPath for four years.

The support is good. I have faced difficulties with every RPA tool. Automation Anywhere has a good support system but has room for improvement. UiPath has a huge online community for support. They have a lot of active users.

Neutral

The solution we use depends on the client and their budget. 

UiPath is exceptionally more expensive than Automation Anywhere. UiPath is far ahead of its competition, but in terms of finances, Automation Anywhere offers better value and is more effective for organizations seeking cost-effective solutions. Small clients tend to go for Power Automate or Automation Anywhere, whereas large clients go for UiPath.

RPA solutions like UiPath, Automation Anywhere, Power Automate, and Blue Prism can be learned through their academies. When I graduated, I did not know what RPA was. I joined as an intern and was told to go to the academies for these solutions and do the courses. They have developer fundamental and RPA fundamental courses. They also have advanced-level courses of 30 hours, which are free of cost. It took me about two months to learn these solutions. I might have had an edge because of my technical background. For a non-technical person who is willing to put in two or three hours every day into learning, three to four months would be good to take themselves to a level where they can start developing automation at a medium scale. Complex automations happen from experience when you are working with different types of clients. Generally, two to four months is a good period for someone to get a grasp of RPA.

The focus is shifting from RPA to IPA or Intelligent Process Automation. For example, I have done automation for a website task. Previously, when the website changed, such as when a button was shifted, the automation would fail. With Intelligent Process Automation, the bot is intelligent enough to realize the changes that have occurred. It understands what my flow is and what I am trying to achieve. It is then able to modify itself in such a manner that it still works. This is something that RPA has been transitioning toward.

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

Since we have been using Automation Anywhere for the last five years, we are building our bot across different domains, including finance and marketing. I don't have any specific one use case, but we have use cases which we are utilizing across multiple domains or departments.

The feature I appreciate most about Automation Anywhere is the central control, as it allows me to control all my bots, see what's going on in a central location, and manage access, which is a key aspect from a governance perspective.

Our business has seen a good return on investment with Automation Anywhere, and they are so pleased that they are requesting to add more processes.

Regarding improvements, with the new offerings related to agentic AI, I want to ensure that Automation Anywhere has collaborations with data centers or cloud providers like AWS or Google so that when customers use the orchestration tool, it's seamless. Sometimes we encounter challenges due to the infrastructure team's lack of support regarding setup or configuration needs.

We have been using Automation Anywhere for more than five years.

The reliability of Automation Anywhere is quite good; we haven't seen many issues recently. Earlier we encountered quite a few, but with their new platform, the latest version performs well, which is why we want to migrate to the cloud to take advantage of more updated and stable offerings.

Customer service and technical support have been very good. I have a person assigned to us named Gaurav, who does a great job of being supportive and bringing the right people into the call to resolve issues quickly, which makes me very happy.

We have started directly with Automation Anywhere.

Before selecting Automation Anywhere, we conduct a feasibility study according to the process use case to ensure that the process we want to automate is viable.

My experience deploying Automation Anywhere has been good, especially since we started with standard support, but now that we have platinum support, it's a game changer, allowing for better collaboration with Automation Anywhere, who understands our requirements and provides quick solutions whenever we encounter any issues.

Our business has seen a good return on investment with Automation Anywhere, and they are so pleased that they are requesting to add more processes.

Currently, we haven't utilized Automation Anywhere's agentic feature; we are just using it as an unattended bot, but we are on a journey towards implementing the agentic new offering. For that, we have completed a POC, which went well, but we need to return and get that POC approved by the relevant stakeholders, so that's our current situation.

When they develop the product, they don't always provide all the necessary details that a customer needs to implement the product. It's crucial that they clarify the infrastructure, control, and configurations needed for effective implementation. The issue arises during deployment because while RPA relies on collaboration with infrastructure, compliance, and application teams, there can be rigidity and resistance in making necessary changes, leading to failure if proper background checks and support are not ensured before deployment. I give this review a rating of seven.

I have been using Automation Anywhere since last year. I have used Automation Anywhere in several automations. For one of my precious clients, we had to trigger the bot when a mail arrived with PDFs, and there was a web portal where we needed to store the data from PDF. I use many Excel automations with Automation Anywhere and web automation majorly, and sometimes I use it with API integration as well.

Document automation is really helpful, even for a developer who is using the tool. I have used Automation Anywhere in several automations.

In Automation Anywhere, they could improve certain aspects. I also used Microsoft Power Automate where we have one initialization of variable that can be used anywhere in any subflow. If there are 10 subflows, we can use one variable everywhere without creating a new one. However, in Automation Anywhere, if you have created a flow, subflow, or subtask, you will create one variable STR name. Every time you have to use input-output scope for that variable to use in other subtasks as well. Automation Anywhere should implement this feature. They should also decrease their cost. Automation Anywhere is good, but Microsoft Power Automate offers unattended machines at a very competitive cost.

I have been using Automation Anywhere since last year.

I have never come across any lagging, crashing, downtime, or any sort of instability with Automation Anywhere.

Regarding scalability, I have used Automation Anywhere for many small clients as well as complex bots. It is scalable as we can work for small and complex bots, and we can run attended and unattended processes.

Support for Automation Anywhere is wonderful. I had an issue related to Chrome not working with the latest update. Automation Anywhere released a patch or updated version. When Chrome was not working properly, I contacted support and they were really good. They helped me extensively and even came on call to support me.

When comparing Automation Anywhere with Power Automate, it is sometimes a client need or developer choice which tool is used because both tools have their own pros and cons for a particular project. I appreciate both tools as they provide similar capabilities.

For the initial deployment of Automation Anywhere, it was a new thing to learn. For about a month, I found it difficult because I did not know about the various actions available in Automation Anywhere or other RPA tools. Now most things are clear. Whether using Power Automate or Automation Anywhere, I know which actions to use for specific tasks.

Automation Anywhere does not require any maintenance on my end.

I do not know the exact numbers regarding the pricing of Automation Anywhere, but through discussions with leads and higher management, I learned there is a vast difference in pricing.

Automation Anywhere is good, but Microsoft Power Automate offers unattended machines at a very competitive cost.

When developing automation or software bots, it is sometimes a client need or developer choice which tool is used because both tools have their own pros and cons for a particular project. Both tools provide similar capabilities.

I started my professional career in the RPA field using Automation Anywhere. When I entered this field, I was completely new and came across various RPA tools, with Automation Anywhere being one of them. When developing automation or software bots, the choice between tools often depends on client needs or developer preferences, as each tool has its own advantages for specific projects. I rate Automation Anywhere 9 out of 10.

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.

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.