Automation Anywhere Reviews

I have worked on automation for several clients and organizations. In my previous organization, we automated several business processes related to governance. Currently, I am working with Nokia. Here at Nokia, we are performing data reconciliations, including financial data, procurement data, and asset-related data. To achieve this, we fetch data from systems like SAP and custom applications. Instead of manually navigating multiple screens in SAP, we use the RPA Automation tool to handle these activities. We are essentially automating these processes.

We are exploring an automated system that can help our production support system resolve tickets more efficiently. We have the data of or the history of multiple incidents raised in the past two or three years. We would like to utilize this data to resolve new tickets and provide the steps for resolution. When a ticket is there, the automated system can identify the solutions and automatically implement those suggestions to fix the ticket. We have not implemented it yet.

At the moment, we do not have any use cases for Generative AI, but we are looking into it. 

Automation Anywhere has helped us with efficiency and accuracy. We cannot achieve the same level of efficiency and accuracy through manual tasks. There are also cost savings. Manually performed tasks are financially demanding.

Automation Anywhere is easy to learn. People who are not technical can also get started with this tool. They can explore and slowly adapt to the tool. They do not need too much expertise, but having technical expertise can be an advantage. Overall, Automation Anywhere is fairly good for non-technical people.

We have integrated SAP and web applications with Automation Anywhere. We have also automated using the APIs. Its integration is good and has improved over time. It is evolving and getting easier for us to integrate with external applications.

We have had a lot of time savings. We have 40 to 50 bots.

The best aspect is the user interface. It is very user-friendly and snappy, responding quickly compared to other available tools. It is easy to learn, and the community support is good for asking questions and getting answers. Training camps are provided by Automation Anywhere. I recently attended the document automation training camp. In 2025, we are going to attend the AI agent training camp. The community and the training around the tool have been beneficial.

In Automation Anywhere, the logging process is manual. We have to manually log each instance where the bot fails or the progress of a task. Automating this through a new feature would help developers simplify their development process. That is my suggestion.

About a year or two ago, debugging was challenging in Automation Anywhere. If you had multiple task bots with a parent task and a child task, there were issues during debugging. Automation Anywhere took the feedback and fixed it in the next releases.

I have been using Automation Anywhere for over five years.

Most of the time, I do not encounter problems with the control room. On a scale of one to ten, I would rate it a nine, but I have had issues with IQ Bot. I would rate IQ Bot's stability an eight out of ten due to some service instability. For example, it sometimes fails to communicate with RabbitMQ. Automation Anywhere's control room is very stable.

It is scalable. Scalability also depends on how we code or develop the bots. We have 45 different use cases, and most of them are multi-bot, so I do not see any issues with the scalability. I would rate it a nine out of ten for scalability.

I would rate it an eight out of ten. Most of the time, when I raise cases for help with the Automation Anywhere vendor, I receive good help at the right time. However, sometimes I receive automated responses, which are not helpful and cause delays. Despite this, I generally get good support, so I can rate customer service an eight out of ten, but there is room for improvement.

I have used Blue Prism and Power Automate as well. In Blue Prism, logging is simple because it is automatic. Automation Anywhere is more snappy and faster in response. It also has inbuilt document automation, whereas Blue Prism does not have the inbuilt OCR capability. Overall, Automation Anywhere is a better solution than Blue Prism.

Power Automate is a very slow tool. If you have to open any flow, it takes a lot of time to load. This issue is not there in Automation Anywhere. It is more capable than Power Automate.

Currently, we have two control rooms. One is an on-prem control room, and the other one is a SaaS or cloud control room. We are using both.

The SaaS option is evidently easier because we do not need to manage servers, issues, or restart services. We prefer SaaS for these reasons.

In terms of maintenance, the platform upgrade from one version to another version is not difficult. We started with version 21 of A360, and we are currently on version 35. Most of the updates in the SaaS environment are automatic and happen during the night hours. Most of the time, we have not seen any issues. They went smoothly, but sometimes, there were some terminations and other issues. If those issues are also taken care of, it will be very smooth.

For the SaaS control room, there is not much maintenance. We are doing maintenance only in terms of the code. In terms of platform, we do not need any maintenance for the SaaS control room. For the on-prem control room, there is a lot of maintenance. Sometimes, the services go down, or the communication between the application and database server has problems.

We have seven to eight developers and three to four production support resources. Building a bot is not an easy process. It is a lengthy process. The duration depends on the use case. It can take from one month to three to four months to develop one automation.

We have a separate platform team that helps us in terms of the platform issues. We have a development team, and we have a production support team. So everyone has their own responsibilities and roles. 

We have about 45 use cases deployed in production.

I would definitely recommend Automation Anywhere. I have been using it for the last five years, and it is one of the leading RPA tools in the market.

Their community support is excellent. If we encounter challenges, we can rely on the community for help. There are ample training programs and an Automation Anywhere university to facilitate learning. The solution is reliable.

I would rate Automation Anywhere a nine out of ten. Some features, such as automatic logging, could be improved. It has the potential to become the best tool.

I primarily use Automation Anywhere for automating manual data entry tasks, such as customer data validation and supply chain management. I have used it for managing a large volume of customer entries, such as handling one lakh customer entries efficiently.

It saves time and is efficient in data entry for my company. Previously, tasks took more time, but now the process is easier with the software.

The best features of Automation Anywhere are having a user-friendly interface and the ability to integrate AI. Additionally, APIs and services like OpenAI's ChatGPT can be integrated, enhancing its functionality. It stands out for its efficiency and ease of integration.

The website can be buggy at times, and I would like to see improvements in latency and slow response times.

I have been using Automation Anywhere for about one year in my office.

I rate the stability of the solution as a nine out of ten.

I rate the scalability of the solution as an eight out of ten.

I have never contacted technical support as there have been no issues.

Positive

Before Automation Anywhere, I used testing software in BrowserStack.

The initial setup took about a day, and while it was initially a bit complex, it eventually became easier.

The solution saves about sixty percent of my time and approximately fifty thousand rupees per month.

Although the pricing is somewhat expensive, it is worth it for the value provided.

I recommend Automation Anywhere because it is beginner-friendly, allowing anyone to learn it easily in their organization.

I use it for a variety of shared service applications. It helps manage the volume of processing and handle many incoming ticket requests. I also utilize it for invoice processing, aiding AR collections, and some reporting. There is quite a variety of applications for Automation Anywhere.

I like the web-based development and the control room interface, which is robust and works well. Importantly, I experience fewer errors with finding screen elements to interact with when compared to other automation software. 

Automation Anywhere presents fewer maintenance issues. 

The built-in features, such as the connector builder and AI development tools, are easily accessible, keeping the software up-to-date. 

Before joining, I observed it to be a robust program with immediate visible benefits. I had fifty bots running, effectively demonstrating their workload. The hard parts, like recognizing ROI, building a backlog, and setting up internal infrastructure and governance, were already completed. Having done this elsewhere, I appreciate these accomplishments.

There are a lot of good built-in features like the connector builder. The AI aspects are very good. The software is keeping up with the times and I appreciate the new features they add.

It's easy for new users with no experience. You can learn quickly. You can also use pre-built packages that allow you to build a bot without much experience. There's Automation Anywhere University to assist as well. All of the tools are there to build a very robust robot. There is a learning curve within development. However, if you already have basic programming skills or a basic understanding of how computer science works, then it's fairly easy to build the bots that you need and can incorporate advanced logic, looping, variables, and things like that. If you understand those concepts, then it's not hard at all.

We have integrated other tools or applications with Automation Anywhere. That's one of the things that RPA is really good at. I couldn't say I've integrated other applications with Automation Anywhere so much as Automation Anywhere with other applications. We're using a lot of external vendors and automating processes for those external vendors that were problematic since they didn't integrate well with others.

The main request I have for Automation Anywhere is to focus more on technical demonstrations. They do extensive marketing and explanations of new technologies, which are great - however, often less technically focused. Common use cases are frequently repeated, such as loan processing and order fulfillment. I would like to see better and more technical use cases for the AI features, showing how to build them instead of repeated general examples.

I have used the solution for one year.

It is rock solid. Stability is great. I have never had any concerns about downtime or other issues.

The software is very capable. I am small compared to others, however, as a higher education institution, I'm probably one of the largest as a whole. The software can scale as far as I need, with no limit other than the investment of money, development time, and effort.

Initially, it took me some time to reach the right team for help, however, the support was knowledgeable and resolved the problem fairly quickly. Although it took a little over a week due to the tricky nature of the issue, I am generally satisfied with the support and have no significant concerns.

Neutral

I have used UiPath previously. I like Automation Anywhere better.

The initial setup was easy. It took me about a week or two to understand how to use it, and that's being generous. The concepts are straightforward and it's very similar to UiPath, beyond a few differences.

We haven't needed to update to a new version. The major update from on-prem to cloud was done before I came. 

The more minor upgrades were painful, yet not at all due to Automation Anywhere. ERP updates and things like that required us to test every bot. None of that was a fault or a problem with our Automation Anywhere. The rest was relatively smooth and straightforward, and the control room updates were relatively smooth and straightforward. This last update, we had a little bit of a hiccup. However, working through support, we got a workaround until the fix can get into place.

There is some maintenance needed on the bots. That's not the software's fault. The maintenance effort is quite low compared to what I was used to. 

Pricing is fine. Renegotiating our contract was challenging, however, I have a new salesperson, and I am excited about working with him.

I'm an Automation Anywhere customer. 

I have spent the last year getting a handle on Automation Anywhere, bringing five years of experience with its main competitor, UiPath. The opportunities for AI are boundless, and I am working heavily with the hospital to identify use cases. I am incorporating AI in invoice processing to extract data correctly and for image preprocessing. 

Benefits form transactions, like enrollment forms for healthcare and dependent change forms, are the next focus. 

I have yet to use Copilot, although I do have a use case that I'm hoping to build out.

In terms of seeing the benefits to Automation Anywhere, this particular job had already been using it for five years before I came. So the benefit had already been realized, and it was already a fairly robust program. I could see the benefit the first day I started. We already had 50 bots running, and it was very easy to see all of the work that they were doing. The hard part had already been completed in terms of recognizing ROI and building out a backlog of work, and having the infrastructure and the governance internally set up was already huge. I've done all those things before in other employers, and that takes significant time, a couple of years, to do it properly. Since that was already done, I could just hit the ground running, and we could just build more bots and make the bots that we had more robust.

I rate the product eight out of ten.

As a financial institution, a lot of collections activity processing, invoices, and billing related to our collections activities is my primary use case for Automation Anywhere. That's really where I've been focused for these past few weeks. We're expanding into very ground-level things, consolidating reports from multiple systems, doing these basic use cases to start.

The features of Automation Anywhere improve my company by making deployment and maintenance of our automations a smoother process overall. We can make changes much quicker when we need to and it's definitely simpler for other affiliated people in the company to understand, including those who might not be working in the systems daily. It's put together efficiently enough that it's user-friendly for non-professional developers to handle.

The thing I appreciate most about Automation Anywhere is how integrated the aspects of it are. I also worked with another platform in a different company for two years and it wasn't nearly as integrated, and it required a lot of effort and time trying to get everything to communicate together, from version controlling and deployment. The simple act of engaging was more complex. 

Regarding the development environment, I'm really pleased with Automation Anywhere and enjoy using it. One place I find regular struggles is with basic documentation, including details about different commands or applications that are natively in the system. I tend to have to do test development on my own to find answers that should probably be in the documentation. That does slow things down, but once I get the information I need, it's really great to use overall.

To make it a ten, I would suggest more access to basic information, maybe more distributed use of it on the web. I don't find a lot outside of the internal community forum. It doesn't get much attention or use on Stack Overflow or other public community platforms. The responsiveness and amount of community engagement needs improvement. When I post questions, I seldom get answers fast.  When I do, I am usually just directed to the standard documentation, which I have already reviewed and found to be lacking the answers to my questions.

I've been using the solution for two years at my current role, and a total of about four years altogether.

The deployment has been pretty smooth. We haven't had an issue with anything. Mostly, it's getting all of our internal security and things like that locked in so that we can go through.

I don't have any specifics about the pricing. It's not in my area.

We are not using Automation Anywhere AI feature set at the moment. We just took the training courses in the past few weeks and are learning about it, and I'm hoping to get hands-on sessions to get experience using the tools.  Right now, we're looking forward to developing some use cases that we can start engaging.

The biggest challenges for me and my company in the age of AI stem from being a financial institution and credit union, which creates a particularly conservative environment. This takes more evangelism to get adopted, as financial institutions tend to have more regulatory compliance issues that we must be very conscientious of, so we have to proceed slower on that front.

AI governance is definitely getting attention and discussion in my company. Everyone has accepted that it's going to be a huge part of the landscape in the very near future, so it's important to ensure we have everything managed and planned within compliance for protecting private, personal information.

With our department structure, I personally don't utilize the Automation Anywhere COE, or Center of Excellence manager. I believe our managers and business analysts do, but that's not something as a developer I get involved with.

We haven't deployed any document automation in our current processes. We've done extensive exploration and have paid contracts for a certain number of documents, but we haven't had a beneficial, deployable use case yet. We know they're there, but we have easier tasks to tackle first.

Overall, I'd give Automation Anywhere probably an eight on a scale from one to ten.

Currently, I'm working as a RPA developer in India. We are using Automation Anywhere to automate the repeated tasks. We have clients who provide a business problem. After the feasibility study, we design a solution architecture, and based on that, we develop the bot. For the development, we use Automation Anywhere along with many other tools such as Python, Excel scripting, and there are many more, all aimed at solving the business problem and making the end-to-end automation that our client needs.

Automation Anywhere is the best among all other automation tools available in the market such as Power Automate and UiPath. The best thing about Automation Anywhere is its simplicity and user-friendly interface, which makes it easy to create bots because they have only three sections: variables, actions, and triggers. We just set the actions and implement them in the bot. 

Additionally, they provide learning courses and the 'bot game,' which is an engaging way to experience real-world and challenging problems that enhance our skills. 

Furthermore, Automation Anywhere boasts a broader community compared to others, with many people discussing it online and helping solve problems. Lastly, Automation Anywhere is low-code, allowing us to feel we are doing programming while solving problems.

The license cost is quite expensive compared to other tools available in the market such as Power Automate, which offers better features at a lower license cost. The main disadvantage of Automation Anywhere is its high cost. 

Another issue is that it is solely dependent on the Windows operating system, and since I am using Linux, I faced difficulties while learning Automation Anywhere because it only supports Windows environments. Comparatively, competitors such as UiPath provide cloud-based solutions that Linux users can access, making this another drawback.

I have been using Automation Anywhere for almost one year in my career.

Automation Anywhere has proven to be very stable. The instance currently running in the production environment operates almost 24 hours a day, demonstrating very good stability. I would rate its stability a nine out of ten.

As far as scalability is concerned, I would give it five out of ten because there are multiple programming languages and tools available, and if you try to implement and integrate them in your bot, you may find limitations within Automation Anywhere. For instance, while running a Python script, I encountered difficulties passing multiple arguments in a single call, which reflects a lack of scalability features.

I have contacted customer support for Automation Anywhere, and while their responsiveness is good, the reliability is lacking. We faced an issue where we couldn't run OCR and document automation in the same bot. The customer support team was quick to respond, but they were unable to resolve the problem we encountered during development, forcing us to seek alternative solutions. So, while customer support is responsive, it is not always effective in solving issues.

Neutral

The deployment of Automation Anywhere is very easy. 

We have three environments: development, testing, and production. We build the bot in the development environment and after building, exporting the bot is simple—just a few clicks to download the zip file. You can import that file into any other environment, including production, by clicking on the import button, and your bot is deployed. You can also schedule and run the bot in both attended and unattended modes, which adds to its ease of deployment.

Automation Anywhere does require maintenance on my end. The platform provides updates and package management. For instance, for browser automation, if you are using browser package version 1.1, you must use the same version across all environments; otherwise, the bot won't run. While it's possible to download and deploy the bot without adhering to package updates for production setup, managing package versions can still require attention. Thus, maintenance can be neither too simple nor too difficult, but it is necessary when developing with Automation Anywhere.

The Automation Anywhere interface is very simple to use as compared to others in the market. Non-technical users can understand Automation Anywhere easily because it is easy to grasp, but if a non-technical person tries to develop or read the code to understand the business problem, it might be hard. For example, we provide a process definition document (PDD) to non-technical persons such as business analysts who may have a less technical background. This document includes a high-level overview of the process, allowing them to understand the code better. Thus, it still requires some technical knowledge to fully grasp the business problems when using Automation Anywhere.

I have not used the Co-Pilot feature explicitly, but I am currently working on a project developing an end-to-end identity automation bot, where we utilize multiple documents totaling around five thousand. In this project, we have integrated Gemini and Azure OpenAI as LLM models through APIs or by downloading and fine-tuning the models according to our use cases, which we deploy using Automation Anywhere.

I would rate Automation Anywhere an eight out of ten.

I have experience using Automation Anywhere to automate various processes, primarily in the banking domain. I've worked on credit card reconciliation for Citibank in Taiwan, Singapore, and Malaysia, as well as loan services and contract renewals for CIMB Malaysia. Additionally, I've utilized IQ Bot to analyze Twitter sentiment, identifying positive and negative comments to create service tickets. My experience includes working with ServiceNow, SAP, and mainframe environments, specifically IBM SQL Server.

Automation Anywhere has significantly transformed its platform. Previously, tasks were created and managed locally through the control room panel. However, with the introduction of cloud technology, users can now build and deploy tasks directly in the cloud. By installing a bot agent runner on their systems, tasks can be executed automatically. Furthermore, the platform now integrates with Git and Azure repositories, enabling version control and collaborative development. This means multiple users can work on a single project simultaneously, enhancing efficiency and promoting agile methodologies. Additionally, the platform offers automated code review capabilities, allowing users to track changes and identify contributors. The control room manager also receives email notifications for any modifications made. This transition to the cloud has been a gradual process, spanning two to three years, and has significantly improved the platform's accessibility and functionality.

Automation Anywhere has a two to three-month learning curve.

Integrating Copilot into our system is straightforward. From a chatbot perspective, we can use it for tasks like sending emails or completing daily assignments. By utilizing Automation Anywhere, we can build an agent that functions as a Copilot, automating tasks for us. Copilot is also integrated with machine learning models, providing prompts and responses that can be modified as needed. Its user-friendly interface and ability to integrate with existing applications make it a valuable tool for streamlining daily tasks and improving efficiency.

Copilot has helped to improve our productivity by up to 30 percent.

With the use of Automation Anywhere, the organization has seen improved efficiency, particularly with the introduction of IQ Bot and Metabot for tasks such as extracting data from invoices and purchase orders. The combination of RPA with AI and cloud solutions has considerably transformed our processes, allowing for intelligent document processing and seamless system integration, thus streamlining operations.

I use a variety of AI technologies for our research and development, including generative AI, custom bit models, GPT-4, and LaMDA. We've also built our own product for GPT-4 called Thor, which utilizes intelligent document processing to extract data from contracts, purchase orders, invoices, and receipts. This data is then integrated with our machine-learning models and downstream systems. Our focus is on transforming our processes using RPA, AI, and cloud technologies, migrating existing systems to the cloud and enhancing them with AI and ML capabilities.

I have integrated Automation Anywhere with numerous applications, including Salesforce, ServiceNow, ITSM, SAP including S4/HANA and Fusion, Oracle including Oracle Fusion, Java Technologies, .NET Platform, Maple's Web Platform, various databases including QLS with dual database configurations, and Power Platform. I am also familiar with backend systems like Data Lake.

I enjoy using applications and API integration tools to efficiently connect systems. Our organization favours API automation, so we developed an ML-based automation product. We prioritize API integration for all applications, leveraging our back-end team and custom APIs for seamless connectivity. While UI automation can be time-consuming, API integration, especially with back-end services, is significantly faster. Our strategy involves collaborating with IT business partners to prioritize API development.

Automation Anywhere helps us save at least 85 percent of our costs.

I find the terminal emulator feature very valuable, particularly in how it interacts with IBM mainframe automation. The Control Room and credential vault are also noteworthy features. Control Room ensures security and access management by keeping credentials within a secure vault. The variable panel, with its comprehensive variety list, array, Boolean, and string types, is quite efficient. Additionally, Metabot stands out as an efficient tool for applications that change frequently.

Automation Anywhere's Metabot and IQ Bot have become increasingly efficient tools for automating tasks. IQ Bot, in particular, has evolved significantly since its launch. Initially, it struggled to effectively extract data from various document types like invoices and purchase orders. However, with the integration of built-in machine learning models, IQ Bot now excels at data extraction and processing. Furthermore, users can build custom models to suit their specific needs, leveraging Automation Anywhere's pre-trained models and readily available tools. This continuous development has made IQ Bot far more user-friendly and efficient than its earlier versions.

There are improvements needed in error handling processes, as currently, they rely on start and end error commands. A more strategic approach could enhance efficiency. While the implementation of a structured development approach has been introduced, further enhancements could be made to accommodate non-technical users better, perhaps by making the platform more accessible and user-friendly through a flowchart or diagram-based setup.

Automation Anywhere can be moderately challenging for business users without technical skills. While the platform offers some drag-and-drop functionality, building automation requires a strong understanding of logical operations and scripting. To become proficient, users may need to invest time in learning basic coding concepts or pursuing relevant certifications. This learning curve can mean that users typically require a few months of training before they can effectively build and implement automation.

I have been using Automation Anywhere for approximately eight years.

I would rate the stability of Automation Anywhere as eight out of ten.

I would rate the scalability of Automation Anywhere as eight out of ten. Automation Anywhere is capable of scaling to automate multiple processes and tasks.

Support for Automation Anywhere includes L1, L2, and L3 tiers, which respectively handle various levels of issues from preliminary checks to development challenges.

Neutral

I have used various other automation solutions including UiPath, Blue Prism, and NICE. Each of them offers different strengths, but Automation Anywhere stands out for its terminal emulator and credential vault.

The initial deployment of Automation Anywhere is straightforward, conducted through the Control Room, where understanding task scheduling is vital for effectiveness. While verifying production readiness takes one day, the actual transition to production is a simple switch.

The implementation of Automation Anywhere has yielded substantial financial and time savings, effectively reducing the workforce by approximately 16 full-time equivalents within six months.

Automation Anywhere's pricing falls within the mid-range, but the long-term benefits outweigh the initial investment. After a year, significant cost savings and efficiency gains become apparent, justifying the expense.

I would rate Automation Anywhere a seven out of ten. The process of building a script is difficult due to the lack of clarity in identifying the problematic stages. While the code highlights issues, the studio's interface is not user-friendly, especially for those unfamiliar with scripting languages. This lack of intuitive design can make it challenging to utilize the solution effectively.

I started using Automation Anywhere during its beta version and continue to use the latest version for both cloud and desktop deployments. One challenge I faced was the extensive number of default commands, 545 in scripting, 2,565 in web and the need for scripting knowledge, particularly when interacting with other services or adjusting system settings. While Automation Anywhere promotes itself as scriptless, understanding coding concepts is beneficial, especially for tasks like connection manipulation. Although the platform offers a vast array of pre-built commands and drag-and-drop functionality, creating custom activities requires building DLLs, which can be complex. Overall, despite some tricky aspects, Automation Anywhere remains a robust tool for both scripting and scriptless automation development.

Upgrading Automation Anywhere can be complex because its products rely on the .NET framework. When namespaces, components, or libraries within the framework are updated, the entire system isn't always fully adjusted to these changes. This necessitates careful analysis of the specific modifications and their impact on the overall system, allowing for a comprehensive understanding of the upgrade's effects.

Our organization has over 45 users of Automation Anywhere.

Automation Anywhere requires monthly maintenance. While patching the virtual machines only requires a reboot with minimal impact on the production environment, any changes to the environment itself, such as modifications to personal systems or processes, will significantly impact production.

The time spent on bot maintenance varies based on the complexity of the tasks. Simple cloud server or production changes require minimal time, approximately two to three hours. Application changes are more involved, with L3 or L2 tickets potentially taking three to four days depending on the service level agreement and impact. Minor L1 tickets, such as troubleshooting malfunctioning ML or server downtime, can involve either small or large changes. Migrating environments, like transitioning from on-premise to cloud, constitutes a major change that can take a month or even a couple of months.

Automation Anywhere offers a robust infrastructure with advanced features like Metabot, IQ Bot, and seamless integration capabilities with AI technologies, making it a commendable choice for automation needs. However, users should have some technical knowledge before using the platform.

I see opportunities to utilize AI in banking, mainly check validation and customer churn prediction. Additionally, my work with a Pharmaceutical focused on R&D and supply chain presents further opportunities for AI implementation.

For each full-time employee, we can deploy one bot, automating approximately 75 percent of their tasks.

Automation Anywhere makes tasks more cost-efficient.

Automation Anywhere enables us to achieve a 90 percent compliance rate.

For organizations with technical teams, Automation Anywhere serves as an excellent tool.

The learning curve is generally beneficial, especially with the rise of remote learning opportunities. However, businesses may find the transition challenging. Automation Anywhere is a valuable tool for technical teams, although it currently lacks generative AI capabilities like those offered by OpenAI and Azure. While RPA continues to evolve, it remains a strong asset for those with technical expertise.

Non-technical personnel can be trained to use Automation Anywhere in approximately two weeks. The training involves a standard checklist, a knowledge transfer session, a reverse KT session, and supervised practice. This approach ensures that individuals are fully prepared to use Automation Anywhere effectively within two weeks.

Our automation and AI strategy prioritizes delivering immediate value to customers. We begin by identifying and addressing their most pressing issues to demonstrate the benefits of Automation Anywhere. This approach allows us to establish credibility and build strong customer relationships, paving the way for tackling more complex challenges later on.

In the six months since integrating Azure with OpenAI, security teams have granted initial approval for using generative AI, leading to productive discussions on its implementation.

I have worked with the core banking system, which is fully integrated with Automation Anywhere. This includes call management, voice integration, and check validation using OCR scanning. Through this system, the entire core banking process is end-to-end and automated.

The integration is successful, demonstrating consistent accuracy rates exceeding 80 percent. Utilizing Automation Anywhere OCR scanning has proven effective and beneficial for our operations.

Automation Anywhere is easy to upgrade.

The OCR feature in Automation Anywhere is the best I have encountered, even better than Google. 

The initial cost of Automation Anywhere, including license fees and integration costs, is high. It is challenging for business users to operationalize the tool independently. Improving features linked to Gen AI and data processing could reduce dependency on ETL processes, allowing more tasks to be handled within Automation Anywhere.

Although Automation Anywhere is a GUI-based platform with drag-and-drop functionality, non-technical business users struggle to implement it due to the complexities of operationalizing automation within a business context. While a technical user can bridge the gap between the platform and specific business needs by collaborating with domain experts, non-technical users lack the understanding to effectively utilize the platform's features, resulting in a low success rate for independent implementation.

I have been using Automation Anywhere for six to seven years.

Automation Anywhere is stable.

Automation Anywhere is highly scalable for both horizontal and vertical expansions.

Customer service is good. Our internal COE provides support, and if needed, Automation Anywhere engineers are involved directly.

Positive

Previously, I used Blue Prism and Watson. Watson was primarily for the healthcare domain.

The initial deployment of Automation Anywhere is straightforward and can be completed in one week, assuming prompt support from the infrastructure team. The only potential delays stem from internal bureaucracy, not the tool's limitations.

The initial setup and licensing fees are high, and although it saves costs in the long run, reaching the break-even point can take at least six months. This means an initial investment may not yield returns for a year, which is often not feasible due to budget constraints. To address this, we offer amortization options, bearing the initial cost to help clients get started and then transitioning those costs into ongoing implementation support. This approach allows us to win contracts despite the high initial investment.

I would rate Automation Anywhere an eight out of ten. While it's a robust tool, costs could be more competitive.

Automation Anywhere requires a dedicated maintenance team, with a recommended ratio of ten technicians for every hundred users, to ensure optimal performance and stability.

The automation team handles bot maintenance directly, eliminating the need for a separate maintenance team.

I started with Automation Anywhere version 11, which was the desktop-based version. It was the most initial cloud version. There is also a 2019 cloud version of Automation Anywhere. With some modifications and improvements, 2019 led to A360, which was again a cloud version but an improved form of the 2019 version. A360 is the current and running version of Automation Anywhere.

Most of the problems we've worked to solve have been related to business process automation. We were able to automate email - including replying to email, and capturing data.

We've also used it for website automation. We can do object cloning in PRA terms.

We were able to automate several data systems. We've automated Excel, for example, and various backbones of process systems.

It releases humans from monotonous tasks. Automating helps a lot and gives us the ability to free people for more high-end activities.

Most of the problems we have solved are related to business process automation. Ideally, in RPA, around 80% of the problems are related to business process automation. 

Processes and tasks automated compared to a manual approach offers a lot of benefits. Any RPA tool will offer good time savings. When we have to do things manually, if there is a 20 or 30-step process, as a human, we may get confused and redraw information. We make mistakes. All of these things take time. Things can be very data-intensive and this takes time for a human. They need to look it up and validate, et cetera. and there are high chances of error. A human can misread or misunderstand, this could lead to losses. With RPA, we gain time savings, and we can make everything 100% error-free.

To train a non-technical employee, it might take a bit. They need to learn the basic foundations. It might take a month or two if they give time to learning every day.

It helps increase productivity by 20% to 30%.

I can integrate tools with Automation Anywhere. We've done Excel and database automation, web applications, data tables, FTTP tables, et cetera. 

Copilot is an area with a lot of scope for improvement. It's the number one thing to improve. It just gives us a structure. It doesn't automate the workflow. This is a major area of improvement. Currently, it's still evolving. The integrations in Automation Anywhere are evolving, and going forward, they could be more beneficial for end-to-end processes. It should not be just an add-on, but it should be very well integrated.

I have been using it for close to four to four and a half years now.

The stability is okay. I would rate it 8.5 out of ten.

I would rate the solution 8.5 out of ten. It is quite scalable. 

Power Automate is quite good, and gaining ground. With Automation Anywhere, you can log into the control room and work on it.

The deployment is on the cloud. The process depends on how straightforward it is. It depends on the number of steps. The deployment time doesn't take too long, however, they could improve a bit on the scheduling. It could be a bit more user-friendly if there is a new person coming in and using the solution for the first time.

Deployments tend to take a few days once all the approvals are in place.

The solution does require maintenance. Once you have developed and deployed a bot, there could be many things that may break the bot. We need to maintain them to keep them running as expected.

The ROI may be high. It depends on the process and the number of people involved.

It's not cheap. It's expensive. Power Automate is much cheaper.