Automation Anywhere Reviews

I use it mainly as automation software. Any kind of processes that are manual, like data entry, for example, I definitely use it for those. Many legacy applications like Mainframe that don't have APIs or can't access the data to write out to that system are addressed mainly for those purposes.

The most valuable feature is the ease of use. It's very user-friendly. Someone with even basic technical prowess can jump in and learn it very quickly. The difference is night and day. With processes involving three or four people, having it full-time manually to address that, and once we implement the automation software on these processes, it effectively reduces eighty to ninety percent of the manual effort.

The automated regression testing could be better. I need to build my own testing suite, and I know other tools have built-in testing suites. That is an area that's very weak in this platform.

I have been using it for about six years.

The stability is pretty good. They are responsive. Just like with any software organization, they usually deal with tier one support, and nine times out of ten, I know more than they do. I get some good support when I advance beyond tier one support. When it gets escalated to the next level is when I receive some good responses and better support.

I think it's a little difficult to scale just because they don't have an automated regression testing suite. We currently have a bottleneck at quality control because of that. If I had to give it a number, I would say six.

Their customer service is pretty good. They are responsive. Just like with any software organization, they usually deal with tier one support, and nine times out of ten, I know more than they do. I get some good support when I advance beyond tier one support. When it gets escalated to the next level is when I receive some good responses and better support.

I have used UiPath, Blue Prism, OpenRPA, and NintexRPA. I've dabbled in a couple of others, and I can't even remember what they are because there are so many, but those are the main ones that I've used throughout my career.

It was already in place when I got to my company.

I think the setup cost is comparable to the other solutions. I don't think it's anything out of the ordinary. I've been on platforms that are a lot more expensive, and this one is comparable.

I would give them an eight out of ten. I definitely would make sure that you at least have some basic understanding of development, just basic principles, and then start training in Automation Software Anywhere Academy. Many like to think businesses can come in and build stuff, which they can, but sometimes they don't know basic software design principles. Once the volume increases or if they don't build it correctly, there are constant issues, and then we have to bring in the core team to help out. It's nice to say something, but in action, it's something that's not the same. Let's put it that way. You can build anything, as I said, you can build all kinds of things, but is it built correctly?

My use case essentially involves in-house projects centered around invoice automation. They have their own mailbox where the client uploads invoices and payment information. My responsibilities include downloading, storing, and reviewing these invoices using automation. Additionally, I am tasked with automating scenarios that were previously manual processes. I am responsible for structuring the tasks, handling exceptions for efficiency, and ensuring automated email notifications are sent to clients if there are any discrepancies or missing values.

Previously, I worked with hospital automation. I had to create automation for hospital care to store patient data in some databases.

I have also designed a solution for document or file transfers and backups, as well as intelligent document processing, where I had to extract meaningful data from unstructured or semi-structured invoices. I had to train my bot to extract the required details from the invoices and store them in a database or a CSV file.

Going forward, I see a potential use of AI for automation related to chatbots, websites, and data visualization. I also see potential in doing repetitive tasks in a more thorough and error-free way.

It is pretty simple to learn. It is user-friendly, so people can learn it quickly. A person without a basic knowledge of IT or programming logic would need at least a month to understand how it works and how to code in Automation Anywhere. An experienced person would just require about 15 days.

I was previously a backend software developer, so I am good with coding. I work with multiple RPA tools such as UiPath, Automation Anywhere, and Power Automate. I find these low-code or no-code solutions to be very easy. Automation Anywhere is pretty simple. It is UI-based with just the drag-and-drop functionalities. If I want to use any of the functionalities, I just have to search for that functionality and drag and drop it. After that, I only need to take care of the logic. It has been very helpful for me. It is very easy to use.

Automation Anywhere allows us to create unattended bots. These bots can work 24/7 with high accuracy and reduced costs. Last year, we made significant advancements with IQ Bots processing financial documents. It offered cost efficiency and reduced the errors typical of manual processes.

For our use cases, I integrated Automation Anywhere with Salesforce and some CRMs such as Zoho CRM. I also integrated the ChatGPT API. Automation Anywhere and other RPA solutions do a great job when it comes to integration.

They have done a good job in terms of licensing and cloud performance. They keep evolving with new technologies such as Generative AI. It works very well for processing any unstructured or semi-structured data. With OCR, we can extract meaningful data from hundreds or thousands of invoices.

The recorders are highly beneficial when automating web scraping or web automation tasks. With the recorder, I can capture all the XPath and HTML data, which can be selected in different forms like a dropdown list, radio buttons, or a click event. In Automation Anywhere, the recorder is one of the most valuable and used functionalities. 

Additionally, it includes features supporting PDF handling, Advanced Excel, Basic Excel, and XML Path. In a recent project, I integrated ChatGPT APIs with Automation Anywhere to manage email responses, enhancing communication with clients. 

Automation Anywhere has done a pretty good job with Automation Anywhere Academy. There are some certifications and basic courses in the academy. If you are working as a developer, as a business analyst, or as an RPA lead, there are separate courses for that. 

There are occasional technical issues, particularly with cloud operations. Sometimes, the bot struggles to initiate on the cloud, even when everything appears in place. This issue occasionally requires uninstalling and reinstalling a component on my PC, although I cannot recall the specific component involved. I often need to stop and restart system services to get the bot process working correctly, which can be frustrating.

I have four years of overall experience, including two and a half years as an RPA developer.

Occasionally, there are initial startup issues. Other than that, the platform runs smoothly, and the deployment process is user-friendly in both UAT and production environments. Assigning tasks to runner machines and developers is efficient.

The platform excels in scalability. 

Automation Anywhere community support is helpful. They are not always quick to respond, but they provide solutions.

At times, some issues require additional research due to inadequate documentation. Some errors were not yet encountered by others, so I could not find any solutions in their community. It required extra effort on my part to find a solution.

Neutral

I use Automation Anywhere, UiPath, and Power Automate. I have good hands-on experience with Automation Anywhere.

Drawing on my experience with UiPath and other RPA tools, Automation Anywhere is user-friendly and less complex. It ranks second or third in the RPA market, while UiPath holds the top spot. Automation Anywhere is effectively capturing market share through favorable licensing terms, and it continues to expand.

It is deployed in the cloud. 

The initial setup was handled by the system team in my current company. In my previous company, I manually set up the system, assigning roles like bot runner and creator through the control board. The process is easy. You just need to remember the steps.

In terms of bot deployment, you can deploy a fully functional bot in less than 15 minutes if you have a clear understanding of which machine is the bot runner, which machine is free, and which machine is already logged in. You also have to take care of the credentials. After deployment, you also need to test the bot.

Automation Anywhere has an advantage in terms of licensing. It is more cost-efficient compared to all other RPA platforms. It is a recommended solution when clients need a cost-efficient automation tool to perform unattended automation. 

When it comes to user experience, Automation Anywhere scores a nine out of ten for ease of use, even for those new to the tool. Non-technical staff can quickly learn it with the help of Automation Anywhere Academy. However, improvements are needed for lagging issues and undocumented problems. 

Overall, based on my experience with Automation Anywhere, I would rate it a nine out of ten.

I am an assistant professor in a DMI institute in our country. In our institute, we have to manage a lot of invoice billing. I have been using the bots to automate and maintain invoicing in our institute.

We have also been using AI. I have created many projects, such as a virtual assistant, to automate tasks in our institute.

Automation has been playing a significant role in every aspect of our institution. In our institution, it is very difficult to manually manage more than 1,000 people's data. I like the ability to automate and the bot feature in Automation Anywhere.

Previously, we were doing everything manually. We needed a lot of people to do the work manually. We need 20 to 30 people to manage invoice billing every day. With Automation Anywhere, it has become very easy for us to do invoice billing. It has saved us about 80% of the time. We only need 10 people now. Financially, it has helped us a lot because we can manage tasks very easily with few people. The workload has been reduced by using automation.

I like to make use of Co-Pilot with every task because it is very reliable. They have improved it a lot. I like to use it every day and integrate it with my software. A task that takes months can be done in weeks with the help of Co-Pilot. It helps us save time and do other tasks. It saves a lot of time for employees to do or prioritize other tasks.

In terms of integration, some of our staff have been using the integration of Automation Anywhere with Microsoft 365, but I have not integrated it.

The interface is really nice and user-friendly. Anyone can start right away. 

I have been using IQ Bot, and its accuracy can be improved. It could be more accurate. 

Managing all the bots in the control room can be a difficult task for a large organization. The control room features could be enhanced for better performance.

I have been using Automation Anywhere for around one year in my institute.

At times, I faced some issues with Internet connectivity, even though I had a good Internet connection. This happened at the initial stage, but over the last five to six months, they have improved a lot. Other than that, everything is perfect. I would rate it a nine out of ten for stability.

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

The automation is used by 60 to 100 people on a regular basis. Around 50 to 100 people use it at intervals. They are not using it regularly in our institute. Overall, there are about 200 to 250 users.

Around 30 to 40 people are involved in maintaining the bots that we have been using. We usually assign them tasks to maintain the bots weekly. It takes a few hours. It is not a big deal.

Support is really good and genuine. I would rate their support a nine out of ten.

Positive

We have not used anything other than Automation Anywhere. We were introduced to this by an employee of one of my friends, and we have been using it. We have not used any other solution.

For a non-technical person, it can be a little bit complex, but it gets easier with time. A couple of days are enough to learn and deploy it.

We have five to six people involved in its deployment.

It has helped us save a lot of time and money. It helped us a lot financially.

It is reasonable and affordable. If you consider the tasks that we can get done using this, the pricing is reasonable and affordable.

Overall, it is not very difficult, but initially, it can be a bit difficult to understand how the bot works. Over time, even a non-technical person can manage it. A week or ten days would be enough to learn everything and start using Automation Anywhere.

I would suggest starting small for anyone new to Automation Anywhere. I would also recommend learning and gaining experience from those who are already experienced. Other than that, it is fine. I would definitely recommend Automation Anywhere to everyone.

I would rate Automation Anywhere a solid eight out of ten.

We obtain use cases from the business and optimize their solutions by implementing Lean Six Sigma methodologies to eliminate process waste. We then follow this with end-to-end automation that requires no manual intervention. Automation Anywhere is the tool we employ to achieve this.

Our goal is not to solve problems but to automate manual tasks previously performed by humans. Rule-based processes require minimal human decision-making and are ideal candidates for automation. By using Automation Anywhere, we aim to replace repetitive human labour with machine efficiency.

For example, a business user performs the same routine daily: logging in, analyzing Excel data, and responding to customer emails. This repetitive manual work is ideal for automation. We use the Automation Anywhere tool to build a bot that mimics these human actions. The bot logs in, processes emails, responds to customers, and completes the entire process autonomously, from start to finish.

We use generative AI to process emails by determining customer sentiment and intent: happy, inquiring, dissatisfied, or angry. The AI makes decisions based on email content and automatically generates requests or tickets in ServiceNow, assigning them to appropriate users. This automation replaces the manual task of sifting through thousands of daily customer emails, allowing employees to focus on higher-value work. The combination of generative AI and Automation Anywhere automates this process efficiently.

Automation Anywhere increased productivity by 30 percent.

Automation Anywhere has significantly re-emerged in the industry over the past few years. The platform has introduced numerous features and a robust cloud deployment pipeline. The initial focus is on a cloud-based architecture and a new structure supporting third-party coding languages like Python, VBScript, and VBA. Document Automation, formerly IQ Bot, simplifies document automation development. Additionally, Automation Anywhere acquired Shibumi, rebranded as CWE Manager, to provide a pipeline for automation and offer detailed performance metrics, including ROI, savings, and bot health for business users.

AI is the future, and automation is a crucial component. Our healthcare organization, which manufactures products like gloves and masks and provides in-house hospitality to patients across the US, has significant opportunities for automation and AI implementation. With six data centres globally and a new CIO focused on cost reduction, we're aggressively pursuing cloud migration to Azure and have partnered with Google for AI integration over the next five years. These initiatives aim to streamline operations, reduce costs, and enhance patient care.

Throughout my experience, I have integrated nearly 600 applications with Automation Anywhere, encompassing a diverse range of software, including desktop-based, standalone, and web-based applications.

Automation Anywhere has significantly reduced costs in my organization. For example, a team of 20 employees previously spent six minutes manually entering 20,000 Excel records into an Oracle application daily. This process consumed valuable time and resources, including Oracle licenses and employee wages. Automating this task eliminated the need for one Oracle license by accessing the database directly. Our automation solution processes 10,000 records in just 15 minutes, drastically improving efficiency and accuracy.

Integrating workflows requires careful consideration of automation complexity, determined by the number and type of applications involved and the number of interactions within each application. We assess applications based on web-based vs. standalone, legacy vs. automation-friendly, and the number of fields requiring input. A complexity score is assigned. Zero to ten is low, 11 to 20 is medium, and 21 to 30 is high, and corresponding timelines for development, testing, QA, pilot, and handover are established. Once timelines are set, we focus on securing application access for developers, providing necessary test data, and coordinating with business stakeholders for UAT testing. After successful UAT, the bot is deployed to production for a monitored pilot phase before full-scale implementation. This approach is standard workflow management practice in our organization.

The savings from automation depend on the specific automation implemented. Some automation may provide minimal benefits to the business. For example, if a new automation is introduced and the business user spends only two percent of their time per day on the related task, the savings may be insignificant. To evaluate the ROI, we calculate the costs over five years, including development, support, licensing, and infrastructure setup. In the first year, the focus is on investment and implementation. While savings may not be fully realized in the second year, from the third to fifth year, the business can expect significant returns due to reduced human labor. The automated process can be continuously enhanced to adapt to changing business requirements. My organization has achieved savings of approximately one point five billion over the past year and a half through automation.

Automation Anywhere's most valuable features include generative AI, similar to Copilot, which will significantly benefit developers; low-code or no-code technology; and document automation capable of extracting data from structured and unstructured PDF formats, presenting it clearly and easy to follow. An upcoming feature will also provide graphical representations or dashboards to illustrate cost savings, ROI, and FTE benefits achieved through process automation.

The Copilot recently integrated into Automation Anywhere requires significant refinement and additional features. Essentially, it still necessitates manual review, which is inefficient. For example, instructing Copilot to write code for opening and reading an Excel file generates necessary commands but still requires developer input to specify target data, column numbers, and desired data. This indicates a need for further training to enhance the bot's capabilities.

Integrating Automation Anywhere with existing systems often proves challenging due to the prevalence of legacy applications that are not automation-friendly. Unlike modern applications with easily identifiable elements, these older systems require creative problem-solving to develop reliable and error-resistant automation. This challenge is common across the RPA industry, necessitating innovative approaches to data extraction. For instance, utilizing software development kits, XML files, or APIs can be more efficient than navigating through multiple application pages. Additionally, implementing fuzzy logic scripts is crucial for handling data entry errors, such as name variations, to ensure accurate matching and process success.

The learning landscape for Automation Anywhere offers various certifications and training materials. While the community provides a platform for interaction and resource sharing, not all training content aligns with the specific needs of developers. Additionally, the community forum, though helpful, doesn't always provide timely or comprehensive solutions to user inquiries. The company's internal structure, with multiple product teams, can also complicate the process of obtaining support and resolving issues.

I have been using Automation Anywhere for one year.

I would rate the stability of Automation Anywhere nine out of ten.

Automation Anywhere is a highly scalable tool, particularly evident in its ability to handle user concurrency, as demonstrated in document automation. Its scalability is supported by robust hardware and software requirements, high-performance document and file processing benchmarks, and the capacity to increase or decrease resources to match fluctuating demands flexibly. Essentially, Automation Anywhere empowers businesses to adapt efficiently to changing needs.

Automation Anywhere offers tiered support levels based on partnership status. Gold, silver, and platinum partners receive varying degrees of assistance, including dedicated support teams and prioritized ticket resolution. While their services come at a premium, the benefits include timely responses and efficient problem-solving.

Neutral

I have worked in various industries and have experience automating processes using different automation tools available on the market, including VBA, VBScript, and Python.

Automation Anywhere, while a formidable RPA tool, currently ranks second behind UiPath. Both companies are industry leaders, continually innovating to enhance scalability and reliability. While Automation Anywhere has made significant strides in recent years, UiPath maintains a slight edge in overall market performance. Compared to other available options, Automation Anywhere remains a top choice due to its robust features and reliability.

The deployment process in Automation Anywhere is relatively straightforward. We export the package from one environment and import it into another. However, each organization has its own unique deployment standards, often involving processes like change advisory board approvals. Therefore, the actual deployment method will vary depending on the specific organization's guidelines and procedures.

The overall deployment time for a robot is five minutes. A team was involved in this process. As the developer, I was responsible for obtaining the necessary approvals and moving the robot code from enrolment to deployment. Other organizations may have specific teams dedicated to these tasks. For example, they might have their own Centre of Excellence team that handles all deployments. Therefore, the deployment process can vary depending on the automation and the specific organization. In my current organization, we handle deployments ourselves, while in my previous organization, there was a separate team dedicated to this task. Prior to that, a support engineer typically performed these duties.

Automation Anywhere's pricing is significantly higher than other RPA solutions. We recently conducted a small proof of concept with their generative AI integration and received a quote of $75,000 for one year. In comparison, Microsoft offered a similar solution for only $20,000. This substantial price difference makes Automation Anywhere one of the most expensive RPA options on the market, second only to UiPath.

I would rate Automation Anywhere eight out of ten.

I would rate the ease of use of Automation Anywhere as a six out of ten for someone without any technical expertise.

The learning curve for non-technical people is two months.

There are several areas for improvement in the implementation of Automation Anywhere. Many employees are reluctant to entrust their tasks to automation due to concerns about job displacement. While this is a common misconception, automation is designed to streamline processes and free up employees to focus on more complex and strategic tasks. From a development perspective, Automation Anywhere continually introduces new features, but there is often a lack of effective communication and training. To maximize the benefits of automation, developers should adopt a proactive approach, seeking creative solutions and considering the user-friendliness of automated processes.

My entire organization has close to 27,000 employees worldwide. Our enterprise team, consisting of 15 members including me, handles automation work for the entire organization. My team consists of six members dedicated to support activities, monitoring and assisting the robots. The remaining members are part of the development team, solely focused on development tasks.

Upgrading Automation Anywhere is a moderately complex task due to the numerous dependencies that must be carefully considered and planned for during any migration or upgrade. Yesterday, we successfully migrated our Automation Anywhere Control Room from version 32 to version 33. Prior to the upgrade, we underwent extensive preparation, including reviewing Change Advisor Reports, obtaining necessary approvals, and coordinating with the database team to create a backup of the Automation Anywhere database. Once these prerequisites were fulfilled, we proceeded to the server, uninstalled version 32, and installed version 33. The previously created backup was then integrated to ensure accurate data reflection in the latest version. While proper planning is essential, the upgrade process is neither overly complex nor excessively straightforward, making it a medium-level task.

We have a team of six dedicated to support and maintenance activities, managing approximately 250 automations across our organization. The level of maintenance required varies depending on the developer's experience and the complexity of the automation. Junior developers may create bots that are more prone to errors, leading to increased maintenance. However, senior developers or well-designed automations typically require less maintenance. In addition to support and maintenance, our team is also responsible for minor enhancements, bug fixes, and upgrades or downgrades of our automation systems.

We don't need to constantly monitor the bot as it runs according to its schedule. It performs its tasks autonomously, but manual intervention is necessary in certain situations. For example, if an expected input file fails to arrive at the scheduled time, the automation process will stop. In such cases, a support engineer must contact the business to address the missing file. Additionally, manual intervention might be required for downstream automation tasks, such as when a front-end UI changes on an application. These situations depend on the specific downstream application, business needs, and other factors.

I would highly recommend Automation Anywhere as a technology solution. I've been involved with it for nearly twelve years and have witnessed its remarkable evolution. From its early stages to its current state, I'm impressed by its potential for future innovation and problem-solving. Moreover, I've seen first-hand how Automation Anywhere has significantly benefited businesses by reducing costs and saving on full-time equivalent labour. In one instance, I observed how a single automation process could accomplish the work of ten people in just one hour.

I am the manager of our intelligent automation COE within HR. We operate in a federated model. I lead the HR team, and there are similar teams that exist across the company in five or six other areas.

We have plenty of use cases within HR specifically. We have automation for candidate-facing opportunities before people join the company. We especially have a lot of automation opportunities for our recruiting. The human capital management platform that we use is an SAP product. We use SAP SuccessFactors, so naturally, a lot of our automation opportunities come through that platform. There are a lot of emails and notifications to managers for talent management, talent acquisition, and all the way through to payroll, or anything that falls underneath the HR function. Nothing is off limits, and we have pretty much touched most of the functional areas within the department.

In terms of comparing the processes and tasks automated using Automation Anywhere versus how they were done prior to implementation, a lot of the processes had remained the same, especially in the early years. A lot of people were leveraging RPA platforms to recreate processes the way a human was doing them, so the look and feel were very similar to how a human was doing a process, going across applications over the UI, whereas now, there is a heavy focus on process improvement. A lot of people are leaning into process improvement or re-engineering a process before it is automated and making sure that we are automating the right thing. 

It allows for more reliable dynamic automations if you can leverage something out of the UI. You can leverage a database or an API versus automating something similar to how a human would click through a screen. There is definitely a heavy emphasis on design requirements or completely changing a process from a functional perspective, which takes a lot of work, but your automation is easier to create and maintain in the long run.

Before Automation Anywhere, I have used other RPA platforms. From comparing it to others, it is very intuitive. I do not have a development background, but I lead a team of developers. I am trying to manage and teach them how to use the tool as well. I find that it comes across as very easy to use. I have seen a handful of new developers pick it up within a couple of days. They are able to understand the UI and create their first couple of automations within a few weeks and then they get running with very complex things within the first year. It is very intuitive to use. There are definitely a lot more capabilities coming out, but it is all within the same platform. If you know how to go through the platform, they make it very easy to deploy technical solutions.

Automation Anywhere is one of the easier platforms to learn. There are a lot of online resources, and they also have a community forum. If there is not a video on how to do something explicitly and you have a question, in their developer community, people are quick to respond. You can also simply Google something or look at their website, and you will be able to find an answer for it. Especially after you go through the first couple of days of their university's online training through the community version or get your hands on automation, it clicks pretty quickly. When you see it once and learn everything that is in the platform, everything comes pretty quickly after that, so the learning curve is pretty shallow. 

In terms of the tools that are integrated with Automation Anywhere, we are doing a lot of work within ServiceNow. I just became aware they have a thing called Connector Builder, which basically allows us to build connections right there within Automation Anywhere with ServiceNow. There are other integrations with SAP or Active Directory right there in the developer's toolkit so that they can build automations with it. This makes integrating with your system of records or whatever systems you are automating a lot easier.

We have not done any integrations with document automation. That is a big use case that we are looking at. I know intelligent document processing has come a long way, so I am very interested to see how seamless that integration works out. In terms of being able to integrate and leverage any of our SaaS platforms or on-prem applications that we are automating, we have not seen any limitations to it. We have been able to automate everything. Being able to use API task paths or just expose more endpoints from an API perspective makes the developers' lives a lot easier. It is technically a little bit harder, but if you are able to use APIs, then integrating that way will alleviate future maintenance for automation. It is definitely useful to have that in the platform.

Automation Anywhere has had a big impact on the business. I can speak mostly from an HR perspective. All of our automations that are currently running in production save about 2 million dollars annually, both from a cost savings and cost avoidance perspective. Certain things have a dollar amount. There is a dollar amount associated with a transaction that we can automate, and then we can also inject that time back into our employees' days. Freeing up that capacity allows them to go use their human decision-making skills on more advanced and complex projects and allows automations to do that manual, repetitive, and mundane work. Hours-wise, I do not have a metric, but we are able to save 2 million dollars with our portfolio. We are continuing to add new automations, which makes that number go up and up. 

In terms of time savings, it has been super helpful. We are able to give employees their time back.

We have not had any issues with scalability. Everything from our licensing structure and being able to deploy bots across the enterprise is pretty efficient. Being able to get the most out of our bot runners and start looking at bot performance and utilization across those machines has enabled us to get the most out of it. We are able to deploy everything that at least HR needs right now. I know some of the other companies or departments might need more bot runners to keep up with that scalability. When it comes to end-to-end automation and working across COEs in a federated model, that is a different story. We have not tackled that yet, but in terms of being able to deliver work for HR at our company, Automation Anywhere has been a huge help, and there were no issues in terms of getting the job done.

Automation Anywhere offers a lot of programs to get involved. I recently became involved in their MVP, the Most Valuable Pathfinder program. That is a smaller group in the Pathfinder community that allows us to see early access to what is coming and things that will be showcased at Imagine or the products clubs. We sometimes will be able to get early access to dev environments to go poke around and see what is coming. That helps leadership also see what is coming and be able to make a decision on whether or not to buy new features or capabilities. It gives us a little bit more time to go out to our business stakeholders and the people we are automating processes for and say that there is a use case here. Could we apply some new technologies? 

Four or five years ago, we looked at everything in terms of whether we could automate a functional process, but now, there is a lot more coming with Generative AI and intelligent document processing. There are product clubs and community forums to see how others are leveraging the same tools. It is super helpful to see how other people are applying the same technology. It may spark some interest throughout our company.

The most valuable feature of the platform right now for us is just getting the most out of the tool. When I first joined the company, we were on version 11, which is the on-premise version of Automation Anywhere. Getting over to the new cloud platform A360 has enabled us to get the most out of general RPA or robotic process automation. There are plenty more tools that we are looking at, but just being able to automate functional processes, whether through the UI or APIs, to alleviate that manual work from the department has been really our bread and butter. That is where we see a lot of the value for the company right now.

From a platform perspective, our model has been getting operational data back out to our automation owners. We are a pretty small team. We have about 70 automations in production. Everything that we automate, we naturally own a fraction of that just from a technical perspective. Having a team of developers, you want them focused on building new things. We are at an inflection point where we have automated so much that just keeping the lights on certainly takes 20% to 50% of the time, depending on the time of year. Being able to enable the stakeholders is one of my main focuses. If we are automating their process, I want them to continue owning that as much as possible. We are just expanding on the bot insights. From a security perspective, there have been some challenges for us getting our customers in there from a role-level security perspective and making sure that they have full access to the control room and their automation after it is automated. Being able to manage a digital worker has been a big focus. That is what I am looking to get the most out of the tool right now.

I have been in automation for about seven years now. This is my second or third year with Automation Anywhere, specifically. I just went over my two-year mark. This is the beginning of the third year using the platform.

The stability of Automation Anywhere is fantastic. The platform itself is very reliable. Automation, in general, can be finicky sometimes, and it will break. That is business as usual, but in terms of the platform, reliability, and uptime, it is good. If there are patches, by being on the cloud, we get them faster. Fixes and new features are constantly available to us. We have no complaints there. It has been a great journey.

I have not had any issues being able to deploy solutions for all of HR. The platform has everything to offer that we would need to automate for our company.

Their customer support is very good. There are very few times when we have to go out and open up a ticket, but every time we do, we get very timely support. We seem to be getting connected to the same reps, which is super helpful to build that relationship. If we cannot find a knowledge article or something online, they point us in the right direction or let us know if there is a patch or something else coming that will fix it for us.

I have used a competitor. I worked with UiPath for about four years before Automation Anywhere. There are a lot of similarities in terms of conceptual robotic process automation and similar trends in terms of intelligent document processing, process mining, and task mining. I am sure they all have features around Generative AI.

It was deployed before I joined. In terms of the deployment model, it is probably fully on the cloud, but I am not too sure. When I joined two years ago, we were on version 11 on-prem. One of the biggest things I had to do was migrate us from version 11 to the cloud version.

Even if we do not automate anything and just keep the automations that we have running, that is going to save around 2 million dollars year over year for our HR group. Continuing to expand into new automations will drive higher ROI. So, year over year, even if we do not continue to automate anything, those savings and those hours continually go back into the business.

I do not have any experience with pricing and licensing. We have an admin team and IT team that handles a lot of the infrastructure and technology, so I would not be able to speak too much about that.

Automation Anywhere was evaluated before I joined my current company, so I cannot speak much about that. I know they worked with an implementation partner, and that Automation Anywhere was obviously the chosen one.

We do not use Automation Co-Pilot. It is definitely one of the items or features that I am very interested in. I was excited to get my hands on it during the bot games today at the Imagine event and see how it works. You can give it a string of text, and it will generate code for you right there in the control room. That is super helpful. I am looking to see how my developers react to that as well. I am sure that would save some time from the developer aspect. There is another aspect for business users. I certainly think there are some use cases there that they would be interested in looking at.

My favorite aspect of the Imagine event has been connecting with everyone in person. I work remotely, so it is nice to see people in person. We get to sit in a room and do the bot games again. We get to see some cool new features and everything around Generative AI. I do not hear the term RPA so much. The big focus in the world is Generative AI. There are a lot of keynotes, and we are able to see how people are starting to apply it early. There is a lot of excitement. It is an exciting time, and I am very interested to see how we will be able to leverage Automation Anywhere with the new technologies.

The Imagine experience is energetic. The world of Gen AI feels like a bit of a playground. It is generating a lot of buzz all the way up at our executive level, and I am sure it is the same for a lot of people. I see the wheels spinning for everyone. There are ideas, and it is good to see everyone saying to start small. It felt a little bit daunting how we are going to apply this, but it is nice to see everyone reiterating the same thing, "It is coming, and you have to be careful. Start small, and it is a journey." It is nice. It is a good pivot.

If I were to invite people to the Imagine event, I would say that it feels like a tight-knit community. There are probably a couple of thousand people here. Seeing familiar faces and being able to meet everyone and talk about some of the same struggles that we might be seeing is good. We get to know how others are thinking through it. Being able to see the new technologies is awesome. That was one of the main reasons I wanted to come. It forces you to take a look at what is coming next and how others are applying it and start thinking so that you can make a decision on where you can help your customers with it.

I would rate Automation Anywhere a solid eight out of ten. It is not perfect. There are probably a couple of little things, but being with the tool for two years, I have seen so much being changed. It is a playground. There are plenty of features and capabilities. We are just scratching the surface, so I am excited to see what is next. It is very good.

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.

We use Automation Anywhere most of the time to automate Excel and the SAP system. I used to work for Bajaj Electricals. We are the vendor of Bajaj Electrical India Private Limited. There, most of the data are being pushed into SAP. We are getting data from SAP and manipulating it, and we are preparing reports every day.

The most valued feature of Automation Anywhere is its Excel functionality. Earlier in my career, I used Process Studio as my RPA tool. There was no flexibility of retrieving single cells. We used to fetch the total Excel and we used to apply the filters to get those cells. Automation Anywhere has the flexibility to extract data from Excel.

For non-technical users, some technical knowledge is needed in Automation Anywhere, so they cannot use it as flexibly as developers can. In my earlier career, when using a data table in Automation Anywhere and wanting to merge columns, there was a plugin called Group By. In Automation Anywhere, we have to create variables and append the data to a single variable one by one to get that flexibility. Having an activity for grouping columns would be great. For reading data from Excel, providing a single button to fetch all data columns would make it more flexible for developers. For filtering purposes in Automation Anywhere, we have to apply if conditions and additional conditions to get the appropriate data. Introducing filter activities would change the perspective of developing.

I have been using Automation Anywhere in my career for two months.

In terms of crashing, I have seen some crashes, but they were from other software such as SAP, WinSCP, and Outlook. There were no issues from Automation Anywhere.

The bots in Automation Anywhere are totally scalable. If the developer builds robust robots in parts, then we can use those parts for other processes by integrating them. I have built bots in many parts, such as SAP login. After performing applications, we close all applications. We have built those bots, and we call them once our process is done, so it will close all applications and erase the caches.

I would rate technical support for Automation Anywhere a six.

I have used Process Studio as an alternative to Automation Anywhere. I prefer Process Studio more than Automation Anywhere. Process Studio was launched around 2017 and managed to get into the IDFC First Bank headquarters. According to IDFC use cases, Process Studio was trained and built with more flexibility for business use cases. Automation Anywhere is not as flexible as Process Studio. In Automation Anywhere, performing activities such as downloading, fetching, and data manipulation requires 20 to 30 lines of code. Process Studio gives multiple windows in a single activity, making data manipulation easier. For reading Excel, XLSV, XLSB, XLS files, there was a single plugin. Process Studio's plugins are more flexible than Automation Anywhere.

Having used Process Studio, the initial deployment for Automation Anywhere was not difficult for me. I referred to YouTube videos for guidance. The only challenge was figuring out how to input my device name, which took one to two days until colleagues helped. If some data could populate automatically after installation, it would be beneficial.

For a beginner, Automation Anywhere is a great tool. I have learned UiPath also, which comes with complexities but has frameworks for smooth business flow. Automation Anywhere comes with a beginner-friendly interface. The tool can be learned within five to ten days of training. We haven't used the Automation Co-pilot yet. Once a developer knows all the activities in Automation Anywhere, upgrades become less necessary. Integration with WhatsApp business use cases to send messages would be beneficial. Integration with additional systems beyond SAP, WinSCP, and PDF would make it more flexible in business scenarios. Automation Anywhere can contact me in the future regarding questions about this review. I rate this solution 9 out of 10.