Get manual tasks done by automations wherever possible. For now, we only use task bots. We use them across whole EMEA at RICOH for different departments like: Business Services, SCM, Annuity & Services, Data governance, Finance and Sales. When I joined Ricoh, there were 30 processes in production and now we scaled up over 50 processes in production and counting.

By implementing Automation Anywhere, we wanted to get rid of the mundane tasks. They are better to be carried out by bots so that the employees can focus on tasks that need human decisions, not repetitive tasks. We also wanted better customer satisfaction.

We also have an email automation where people can write emails to us 24/7, and we create service requests inside Siebel. It is an Oracle app.

With all process in production so far, we reduced the manual effort which led to more satisfaction by employees to get rid of the mundane tasks and focus more on tasks which need human decisions. Especially for our Annuity & Services department we have a quicker response time, and this led to more customer satisfaction.

Automation Anywhere constantly bringing new features in their product. Which will open more possibilities for automation out of the box.

The integration of coding languages like Python, JavaScript an VB Script will allow to extend the capabilities.

The bot store is also a good point to explore pre-built automation to integrate in your tasks.

To keep yourself up to date they provide Skill Booster learning trails for the new features and product updates.

The website has a lot to provide, but with this whole variety of information it is hard for me to keep track and navigate through.

AI agents need constant improvement, but this is by the nature of AI.

We had a use case for handwritten documents, which we were not able to extract safely, so some improvements on document automation would be great.

I am using Automation Anywhere as a developer since September 2021, so for almost 4 years now.

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

I would rate it a nine out of ten for scalability because we can use the workload management feature.

We have approximately 20 people using this solution.

I would rate their support an eight out of ten.

Prior to Automation Anywhere, we were doing almost everything manually. We started with Automation Anywhere version 11 and later migrated to A360.

We have a separate team that handles the integration and setup. We are still on the on-premises version of Automation Anywhere. We are not using the cloud version. We have virtual machines running for us developers. We have a development environment where we use our own dedicated VMs. We develop automation on these VMs, and then we push it through the UAT and the last life cycle for production.

As far as I have heard from our team, they said it was easy to implement.

We started with version 11 of Automation Anywhere back in 2019. When I joined the team in 2022, we were migrating from version 11 to A360. I directly started in the migration phase where I could help with my fresh knowledge, because I was one of the first ones certified in A360.

Our central RPA team, which handles resources, currently consists of five people. I am not sure how many people from the service provider are involved, as they handle on-prem resources. On our side, we have five people pushing these things to production. As a developer, not much maintenance is required.

I am not involved in the pricing, but based on what I hear from our central RPA team, it is not very expensive; it is also not cheap. Its price is in the midrange.

We are not using the AI tools from Automation Anywhere, but we have created some of our own modules, which we are triggering in combination with Automation Anywhere in Python scripting language. We are using this combination for text analysis and problem descriptions from our customers. We are getting the sentiment score to categorize these service requests so that our agents can handle them better. We will, for sure, investigate if we can use Automation Anywhere's AI capabilities in the future.

I am responsible for showing and teaching new joiners how to work with Automation Anywhere. We also have some new citizen developers. We have asked different departments if they have some people on their team who are interested in this. They are not professional developers like me, but I teach them the basics. I also recommend they join the citizen developer training provided by the Automation Anywhere University. They take that training first, and then we do in-depth training tailored to the RICOH processes. It takes them three to six months, but it also depends on how much time they can spend on the training because they also have their regular work.

If you start using Automation Anywhere I highly recommend the Automation Anywhere University platform to start with the learning trails.

These are focused on three roles: Automation Lead, Automation Developer and Citizen Developer.

Also, great content on the Skill Boosters which will give you in depth training on a particular topic.

To scale your automation journey, good practice is building central tasks like “switching a responsibility” in Oracle with proper error handling that not every developer needs to implement these by his own. With these generic central tasks, it will also save time in terms of maintenance.

For any questions you might have, you can ask them in the Pathfinder Community where you get answers from Automation Anywhere’s global community of Pathfinders.

For companies starting new process automation implementation, I would advise not to tackle the largest processes at the beginning. Start with small ones to track benefits and demonstrate to the board what process automation has achieved in a short time. In the past, we tackled larger problems first and spent one or two years getting them to work end to end as expected. This was not the best strategy.

I would rate Automation Anywhere an eight out of ten.

I have been using Automation Anywhere for more than a year in my college laboratory. I utilize it for editing, collecting student assignments, data entry, report generation, grading multiple-choice questions, managing lab equipment, student communication, and automatic software installation or updating. The primary functions include handling repeated administrative tasks, data entry, feedback generation, grading processes, maintaining lab equipment processes, taking attendance, and communicating with students. If any software installation or update in the lab is required, I manage it with the help of labs.

The task bot is the most valuable feature, which I use primarily to automate repetitive and rule-based tasks like attendance tracking, grading, and report generation. I also utilize IQ Bots for more complex tasks involving unstructured data, and email automation for sending bulk reminders to students. It reduces my work time significantly, giving me the ability to focus on other manual tasks. Without Automation Anywhere, my tasks would take much more time, as these repetitive human tasks need daily attention.

Overall improvement is needed for non-technical users who face challenges with how to use it and how to perform more tasks. It should be more user interface friendly for non-technical users and enhance its ease of integration with third-party applications.

I have been using Automation Anywhere for more than a year in my college laboratory.

When we discuss its scalability, it is available across various departments and adapts well.

There are many FAQs, personal calls, and community forums available. Technical support can be easily obtained through official channels, although sometimes the community forum is not accessible to many users.

I used UiPath before starting Automation Anywhere. I also used Blue Prism, which was difficult due to its need for coding.

Initially, we found it a bit complex, but after learning about it, it served us well. For complex tasks, deployment takes about two to three days.

We can achieve nearly eight lakhs per annum in total savings by using Automation Anywhere.

I recommend Automation Anywhere to other users because it minimizes repetitive human tasks, saves time, and helps reduce costs. I would rate Automation Anywhere nine out of ten.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

I currently work with both UiPath and Automation Anywhere. I mostly employ these tools for RPA automation use cases. For example, I can handle any kind of manual invoice processing, document automation, or any manual processes involving multiple business logic and applications.

I think the automation creation is very straightforward. It is drag and drop, with no need to write any code. It is very self-explanatory, making it easy for non-technical users to develop. Also, the overall platform is easy to navigate and learn, making it simple to adapt and use. As I automate manual processes, it helps reduce efforts, leading to financial savings because the speed at which I process has improved. Additionally, I have been able to redirect some headcounts to other work areas, such as research. This has yielded financial benefits by reducing the headcount on these processes. Normally, it takes three to six months post-development and moving to production to realize the benefits of each automation. Since implementing Appia, I have seen significant benefits within a couple of years.

The platform has good capabilities, but it could improve by providing more development options. Currently, it is really restricted to whatever its own ecosystem provides. Aligning the product more closely with a framework, such as the .NET framework or the standard coding practices in other languages, would simplify adaptation for regular developers. It would be beneficial if the platform provided options for power developers to integrate seamlessly with languages like Java or C#, allowing them to write their own scripts and code.

I have been using the solution for about five or six years.

So far, the solution is good and stable, without much downtime experienced.

Organizations can onboard this platform and scale their automation journey because it is very easy to adapt and set up. They can seamlessly integrate with most business automation processes and use the platform to automate their processes on those applications.

I believe the support is on par with industry standards. The SLAs are based on the criticality and compare well with other companies in the market. I would rate them around nine.

I was previously using UiPath. The switch was mostly due to cost factors, specifically regarding licensing. Otherwise, in terms of capabilities and the platform, WebKit is also a great platform.

The initial setup is somewhere in the middle, neither very complex nor very straightforward.

I had a team for deployment, coordinated by our infrastructure team. The whole team, including five engineers, was involved.

In terms of percentages, costs depend on the complexity and size of the processes. On average, I have managed to reduce spends by up to fifty or sixty percent relative to our budget.

I evaluated Blue Prism and other tools like WorkFusion, among others. However, I found the Automation Anywhere to be more capable and easier to migrate than UiPath.

My advice is to evaluate and compare with other products available in the market. If someone is looking for an automation platform that's easy to adapt, easy to set up, and competitively priced in terms of licensing, they can definitely choose this product. With courses available in Automation Anywhere University, it should not take more than a month to learn properly and try it out. I have Automation Copilot, similar to MS Copilot, to help developers build code based on prompts. I haven't fully utilized it yet. I would give the overall product a rating of nine out of ten.

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.

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.

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?

I have used it for multiple use cases across various domains. I started with automating use cases in the utility industry, such as customer billing and processing meter readings. Those were the initial use cases for which I used it. Currently, I am using it for a transport company in the U.S., where we process their invoice documents, perform three-way matching, manage their supply chain records, and handle daily billing bots. All these implementations have been successful.

For the transport company, we have identified a use case. Their ticketing team is manually processing all the incidents that occur during that day. We are now collecting all the documents and information about previously resolved tickets. We are creating a knowledge base out of it, and we will use that along with the AI agents that Automation Anywhere has. We will create an AI agent that will help take care of tickets by learning from the knowledge base. We are working on the PoC, and within the next quarter, we will be able to implement that.

We have implemented a Generative AI solution using Automation Anywhere and ChatGPT for email management. We implemented it for semantic analysis and sentiment analysis. One of our clients wanted us to create a bot that automatically fetches all the reviews from all of the social media platforms, including Twitter, and create a knowledge base within their own platform or database, whether the review is positive, negative, or neutral. For that, we leveraged the ChatGPT plugin along with Automation Anywhere. We created a bot that reads all their reviews, does semantic and sentiment analysis, and accurately describes them as positive, negative, or neutral.

We have not yet used Automation Co-Pilot, but we plan to implement several use cases. One use case involves integrating AI agents with Automation Co-Pilot for conversational AI. Users can input queries, and AI agents will run prompts to fetch required details directly in Automation Co-Pilot. This is particularly beneficial when the process SMEs need to verify post-bot run actions and address any data issues. Currently, the RPA support team is asked to rerun bots. We aim to enable SMEs to prompt bots for reruns, reducing response time from different time zones from five to six hours to immediate actions, significantly boosting productivity.

By implementing Automation Anywhere, we wanted to reduce the manual effort required for various processes for the clients. Previously, the client's accounting team had to collect all the bills, and based on the vendor, upload those to a particular portal. They daily receive bills for more than 250 vendors. We have now automated the process. There is no manual intervention. Earlier, this effort used to take more than 300 hours per month with more than ten people, whereas now, it does not take more than 50 hours per month, and they have only five people.

We have done integrations with Oracle NetSuite and Google APIs. We have done automation with ChatGPT and Claude AI. We are now leveraging Document Automation along with AI agents. We have also done integration with Anthropic. The integration is quite smooth and seamless.

Document Automation is a game changer. Earlier, with IQ Bot, we achieved partial automation—around 80% of the process was automated. With GenAI and Google Vision OCR now integrated into Document Automation, end-to-end automation is achievable, even with unstructured documents.

The AI agent automation is noteworthy. Everyone is moving from RPA to agentic process automation. I had a chance to delve deeper into it at the Imagine event in Bangalore in 2024, where I engaged hands-on with AI agents. We are exploring use cases to create our own AI agents, which is exciting.

The generative recorder and BPMN converter features are also impressive. If we have recorded the complete process flowchart in the .BPMN file, uploading this file into Automation Anywhere results in a complete bot framework, reducing development efforts by 30%.

Additionally, the generative recorder's ability to handle changes in web portal elements ensures process continuity and notifies developers of updates, aiding in environmental change understanding. If any element changes on the existing web portal on which the bot is currently working, the generative recorder can record and capture the action. The bot will automatically understand at the run time that the particular object has changed, and it will automatically take actions to complete the process and ensure that it does not fail because of that one change.

AI agents need further improvements. AI agent technology in agentic process automation is still evolving. We have only scratched the surface, and there are many potential use cases yet to be explored. As technology advances, I believe it will enable us to implement more comprehensive automation solutions.

Document Automation has issues related to speed. When I compare Document Automation with IQ Bot, IQ Bot is faster than Document Automation. My understanding is that they are still evolving Document Automation, and this issue of slowness will be resolved in the upcoming .35 version, so we are good with that.

They are working on signature identification and validations for handwritten documents. Currently, we are able to extract data out of scanned but digital images, but there is still scope for improvement for handwritten documents.

I started using Automation Anywhere in 2015, so it has been over eight years.

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

I would rate Automation Anywhere a ten out of ten for scalability.

Our clients are small to medium organizations. We have seven people working with Automation Anywhere.

I would rate their support a nine out of ten.

We have completed several migration projects, moving existing bots from platforms like Blue Prism, UiPath, and Power Automate to Automation Anywhere. This was due to limitations with these platforms, such as Power Automate's compatibility issues with legacy systems, which resulted in partial automation.

Customers seeking end-to-end automation have found Automation Anywhere to be the best tool. We analyzed all bots and processes to determine that Automation Anywhere met all requirements. We converted their process documents and redeveloped bots in Automation Anywhere, resulting in successful end-to-end automation.

Licensing costs for Blue Prism and UiPath are higher compared to Automation Anywhere, making the latter's ROI more appealing.

Automation Anywhere is currently leading with GenAI and AI solutions. UiPath is also good, but they are still defining its market position. They are a bit confused about whether they want to project themselves as market leaders in AI, RPA, or agentic process automation. Automation Anywhere has already released five to six features directly connected with AI, not just for the customers but for the developers. Blue Prism recently came out with the cloud version. They are still exploring how they can leverage more AI into their platform. Power Automate works great with Microsoft products, but it fails badly outside the Microsoft ecosystem.

Automation Anywhere has enhanced a lot since we first started using it. At the time, it had the client/server architecture. It was not on the cloud. We had to manually install Automation Anywhere on each and every desktop. In 2019, they shifted to the cloud, so we just have to install the bot agent on any computer we want to use as a device. It does not matter whether it is a bot creator or a bot runner. That has improved the installation setup and reduced the configuration time by 80%. Previously, we had to manually install the client and control room and configure them. That was a tedious task, whereas now, because of the cloud, its deployment is very simple and user-friendly, and it has reduced the earlier effort by 80%.

Almost all clients use cloud deployment, but a Korean client has an on-premises setup because they are very diligent about the data. Cloud deployment is easier than on-premise deployment.

Cloud deployments typically take a few hours, around four to five hours. On-premises deployments can take up to two or three business days due to customer environment restrictions and infrastructure limitations. If conditions are optimal, the setup can be completed in one day. For the cloud, deployment time is much shorter, taking only about four to five hours.

The updates happen automatically for cloud deployments, whereas for on-premises setups, we have to download the new release files from the portal and manually do the updates.

In terms of bot maintenance, currently, our team is working for three customers, and there are 105 bots. Our team of seven people is handling these 105 bots. We are doing 24/7 service and daily spend four to five hours on average for bot monitoring and support.

We have one person for the cloud deployment. For on-premises, we have two to three people.

It is not cheap, with costs ranging between 700 to 800 dollars per month. While Power Automate is cheaper at 15 dollars per month, Automation Anywhere offers superior features, user-friendliness, and smoothness. Many customers are transitioning from UiPath and Blue Prism to Automation Anywhere, acknowledging its value.

The pricing is justified and on-point. There are bulk packages that include licenses, Automation Co-Pilot, and Document Automation. Both Automation Anywhere and partners like us offer discounts.

For non-technical users, I would recommend the citizen developer program on Automation Anywhere University. They have a training portal where people can register themselves and do the learning paths. There is a learning path for new developers or people who do not have much technical knowledge but want to start their automation journey. They can go ahead and do that citizen development training and complete that learning path to understand it in a better way.

It takes about six months to learn it and start using it. The best part about the training is that you can also do hands-on training along with it. You can simultaneously learn and implement it. Six months is a good enough time to get your basics cleared and start your automation journey.

I would highly recommend Automation Anywhere, but the recommendation depends on the customer's specific requirements. For example, for automating tasks strictly within the Microsoft ecosystem, Power Automate will suit. However, for incorporating third-party applications like Oracle NetSuite, I would recommend Automation Anywhere due to its broader capabilities beyond Microsoft applications. Automation Anywhere easily accommodates diverse market use cases to meet customer requirements and scale effectively.

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

I am working as a solution architect at Boston Scientific, and I help other teams automate their manual processes using Automation Anywhere as the primary RPA tool.

The business cases come from multiple teams, such as the HR team, service management team, or supply chain management team. We identify the manual processes that are the best fit for automation opportunities.

Initially, we review the entire process to understand how the teams are completing their tasks manually. Then, we assess how much we can automate using Automation Anywhere, the features it provides, and how suitable it is for the process. We then convert that particular manual process into automation opportunities.

We are on the path of implementing GenAI for digital transformation. We are doing demos of the AI agents to implement GenAI across all the verticals at Boston Scientific. We are figuring out the right opportunities and use cases.

With chatbot integrations and AI agents, we are able to create responses by extracting the data from the database, massaging those replies, and replying back to the customers.

We just need to know the end goal to automate a particular process. In Automation Anywhere, we have multiple commands to automate from Excel or record the UI. A person needs to just drag and drop the commands and fill in the data.

Automation Anywhere supports various types of integrations. We have integrated SAP, Excel, Python script, and JavaScript. We can easily integrate them with Automation Anywhere.

We have many opportunities from multiple teams. There are requirements to automate Excel, the UI, or their scripts. We have various integrations with technologies like Python, Java, or macros. Automation Anywhere is perfect for integrating those technologies.

Automation Anywhere has undergone drastic changes over the past five years, transitioning from version 10 to A360, including desktop-based and cloud-based options. The tool is now more stable, with more opportunities and new commands, like recording for the UI or advanced Excel features.

For beginners learning Automation Anywhere, there should be predefined templates to start creating a task bot. Instead of dragging and dropping action commands and doing error handling, there should be predefined templates that they can directly use. It will help maintain code uniformity across the organization. Besides templates, most features are already available in Automation Anywhere to help automate a manual process into an RPA opportunity.

I have been using Automation Anywhere since 2016, so it has been nine years.

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

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

We have multiple teams in India, the USA, and Costa Rica. We are working from multiple locations. We are a team of 35 users.

The technical support is excellent. I would rate it a ten out of ten. We just have to raise a ticket, after which we receive a call, email, or ping from the Automation Anywhere team. We then provide our queries or show where we are getting stuck, and they provide us with the solution.

Previously, I worked with UiPath and Power Automate. However, I find Automation Anywhere to offer a better experience.

The setup is easy because all updates and upgrades are synchronized with the newer versions.

We have a dedicated support team that helps deploy the bots. We raise the change requests, which are approved by a technical person and the release manager. After all the approvals and validations are in place, the automation bot gets deployed to the new environment.

The time required for the maintenance of bots depends on the requirement or process. We can see the status of all bots in the control room. It is simple.

We have a completely dedicated team to track bots. We have more than 100 bots running in the control room.

In terms of ROI, we have a good amount, which amounts to millions of dollars per year.

I am not responsible for the pricing part, but I know the pricing is competitive compared to other tools.

It is relatively simple. It is a platform where you get all the commands for integration and other functions to automate your end-to-end process. It is easy to learn and cloud-based. The control room is easy to understand. All these features will be helpful for automating or starting your RPA journey.

I would rate Automation Anywhere a nine out of ten.

I have been using Automation Anywhere to automate repetitive tasks across various domains and organizations. We have developed a lot of automations in domains like finance, HR, and supply chains on a daily basis. Basically, we create bots using Automation Anywhere that replicate human actions.

Currently, we are working on a business case involving agents who respond to phone calls, providing order dispatch status. The average call time is five to six minutes. By using AI, we are creating a chatbot so that a customer service agent can input details and quickly provide all the customer-related information. This reduces call times from five minutes to one or two minutes, which is something we are currently working on. We are also exploring AI use cases for things that are not structured or rule-based.

Previously, we were using legacy automation methods. We were using different platforms to automate the system by writing scripts. You get the best value from automation when you automate a process end to end. In a business process, multiple applications might be involved in completing the processes. Automation Anywhere provides better integration with applications. We can integrate multiple applications at the frontend or backend and complete our processes. Previously, we could automate only a few parts because of limitations in supporting various technologies, whereas Automation Anywhere helps to integrate all the applications and automate a process end to end.

I have integrated it with SAP, Salesforce, ServiceNow, Jira, Tableau, and a lot of Microsoft platforms. We have also had integrations with database and mainframe applications. The integration is seamless. They have packages for particular applications. If you want to work with Salesforce, they already have a package for Salesforce. You just have to connect Salesforce with a certain set of details and provide the API details. It is seamless and within a second, you get connected, and data starts to be exchanged with the application.

It saves headcounts, improves customer experiences, and provides time and cost savings. In some projects, millions of dollars are saved annually from a single bot. The response time for certain customer scenarios has also been made efficient.

The way it integrates with subsystems is impressive. When automating business processes, there might be multiple systems in use. Automation Anywhere provides various ways to connect, such as by directly using backend APIs or using the frontend. This is incredibly useful.

They are constantly enhancing its capabilities. They have already included support for GenAI, enabling easy LLM training. You can train LLMs without putting in a lot of effort. You can train a model very easily. If you do the same thing manually from scratch, it will take a lot of time and you also cannot be sure of the accuracy. They are enhancing their capabilities in the field of AI to provide efficiency and accuracy.

It is a low-code/no-code platform. If you have a little bit of technical knowledge, you can easily design a bot. It is a basic part of software development. It is easier if you are aware of a few things such as writing up a logic, loop conditions, etc. Someone having the basic knowledge can easily adapt to this tool. It is quite simple and straightforward with drag-and-drop actions. It also provides information about a particular package or action you are going to use in your automation. If you are not familiar with the technology, you can explore Automation Anywhere University where they provide training. For anyone eager to start with it, it is quite easy.

Automation tools have a lot of dependency on the environment, particularly on machines. Reducing this dependency could increase success. The product has entered the GenAI space, so it is easy to implement. It will keep improving over time. However, making the product more lightweight by reducing its dependency on infrastructure could greatly help in the long run.

I have been using Automation Anywhere for the last six years.

The stability rating is a nine out of ten. They are improving stability daily. If you had asked me four or five years ago, I would have rated it four or five, but they have significantly improved. Currently, nine is accurate, but there is always room for improvement.

It is being used globally. We are a global team with a presence in six to seven different countries. We have about 10,000 employees. We have business processes in different countries, and everyone is using it. We have implemented 140 to 150 automations, and a lot of people are involved in developing them.

I would rate it an eight out of ten for scalability.

I would rate them a nine out of ten. They have been kind and supportive. Whenever we need help, we can reach out to them, and they help us out.

I have worked with major partners like UiPath and Blue Prism prior to Automation Anywhere. I also worked with UiPath last year.

When comparing them from a developer's perspective, I prefer Automation Anywhere. Its canvas is user-friendly with options to switch between code view and list view, which other tools lack. As a developer comfortable with list view coding, transitioning to UiPath without that feature would require adaptation, whereas transitioning from UiPath to Automation Anywhere is smooth due to the flow view or list view option. Automation Anywhere already provides flow view development, simplifying adaptation. I appreciate this flexibility. I am also working on Power Automate, which is generally flow-based. Automation Anywhere offers convenient switching.

In UiPath, if you want to work with Salesforce, the package will not be there by default. You have to import that package, which is not the case with Automation Anywhere. Importing packages, like for Salesforce, is straightforward, and often available to team members. The best feature is having access to packages imported by team members.

It is straightforward.

When it comes to bot deployment, a bot takes two minutes from one environment to another. Moving code between environments also takes only two minutes. However, there are sanity checks. These checks apply to all tools used in automation. Deploying code takes two minutes. We have automated this process, allowing code transfer from test to production with a single approval click. It is seamless.

Bot maintenance is not a tedious task. Once an update is done, we push that into a test or development to check whether it is impacting our automation. In more than 90% of scenarios, it does not impact. In a few cases, there is some impact with the update.

Before automating a use case, we assess its impact in terms of efficiency, error reduction, and cost savings.

Automation Anywhere has helped achieve around 50% savings in some scenarios. The error rate has been reduced by 80% to 90% in processes. Errors have been successfully eliminated from the process.

In terms of cost, we participated in projects achieving two to three million dollars in annual savings.

If you are a non-technical person, you need to become familiar with basic programming concepts such as conditions, looping, etc. Automation Anywhere is easy to adapt to. The UI is simple. If someone is coming from a different technology and wants to develop something in Automation Anywhere, one or two weeks are enough to get started with it.

We are getting trained on AI, document automation, and the Copilot system at the organization level. We are also exploring a few other business cases for implementing GenAI. We have some unstructured handwritten documents, and we are trying to assess how efficient it would be to automate it and how easily we can create a model for a certain set of documents for extracting the details.

I would surely recommend Automation Anywhere to other users. For business professionals, it automates repetitive tasks and enhances efficiency and cost savings. For technical individuals, it is easy to use and adapt.

I would rate Automation Anywhere a nine out of ten.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The deployment is fine. It is very easy.

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

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

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

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

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