Automation Anywhere Reviews

I have used Automation Anywhere in various industries, including banking, telecommunications, retail, and oil and gas. In such clients, there's often a mismatch between systems, needing more integration. Creating new integrations from scratch, like calling APIs, is complex. Automation Anywhere bypasses this by integrating systems through their user interfaces. For instance, inserting data into an SAP database typically requires knowledge of connection strings, database design, and tables. This information isn't readily available. With Automation Anywhere, I observe users performing tasks like creating clients. I note the screen and information used, then load that into an Excel file. Automation Anywhere processes numerous transactions using Excel data and screen interactions. This accelerates digital transformation. While APIs are the ideal engineering solution for integration, robotics provides the fastest results.

We have installed Automation Anywhere on AWS, Azure, and GCP, which works well.

Automation Anywhere is user-friendly with its concept, even C-level executives can try automating tasks in five minutes, which is a great marketing strategy. However, for professionals in sectors like banking who design critical mission bots, deeper knowledge is necessary, including logging, API calls, etc. Automation Anywhere's best features are sufficient for newbies or those needing quick implementations.

Copilot is a good feature for those using machine learning and AI.

Copilot helps increase the productivity of new users.

Typically, extracting information from transactional systems requires tools like Automation Anywhere. For less structured tasks, generative AI is a great option. One area where these tools can improve is web scraping. For instance, if a website changes, traditional bots fail. However, with generative AI, we can create bots that understand page context and adjust accordingly. For example, if the input field for a flight code changes its location or ID, a generative AI-powered bot can still identify it by understanding the context of the surrounding labels, like "flight code". I believe we'll see a significant evolution in the coming years, with computer vision and generative AI enabling bots to understand the location of information on a screen and adjust web scraping strategies dynamically.

One of the main concerns with Automation Anywhere is the lack of a robust feature for capturing and managing information from the user interface, something competitors like Blue Prism already offer. In Blue Prism, you can create an "application model" to capture every control on a screen and assign them to variables, making it easy to reference and update them in your code, even if the screen layout changes. In Automation Anywhere, however, you must manually search and update capture instructions within the code, which is time-consuming and error-prone. Implementing a similar feature in Automation Anywhere would be critical for improving efficiency and maintainability. While this idea has been discussed with the company, it has yet to be implemented.

For experienced developers, there's room for improvement. For instance, code refactoring, a valuable feature, is currently impossible in Automation Anywhere. While Automation Anywhere is excellent for beginners, it could benefit from enhancements for advanced users.

I have been using Automation Anywhere for eight years.

Automation Anywhere is scalable. One of my clients, the largest bank in our country, is also one of Automation Anywhere's biggest clients. We have Automation Anywhere running on over 9,000 computers at the bank.

The technical support team is an excellent resource. We are a long-standing partner of Automation Anywhere in our country. My team possesses a deep understanding of the platform, but when we require assistance, the support team is always helpful.

The initial deployment of Automation Anywhere is straightforward. We use the bot model and deploy bot runners through the Automation Anywhere cloud, simplifying the process. While using the Automation Anywhere cloud is convenient, we've also deployed an instance in a private cloud environment like Azure or AWS, which works well. However, deploying in a private cloud requires knowledge of clustering and related concepts, so it's not suitable for everyone.

On average, a bot runner in Automation Anywhere can cost $5,000, while in Microsoft Power Automate, you can get most of the same functionality for $100. However, when you factor in the materials, support, and ecosystem of Automation Anywhere, it proves to be a more cost-effective solution overall.

I rate Automation Anywhere ten out of ten.

Typically, they release hotfixes, and if you're using Automation Anywhere's cloud platform, you receive these hotfixes automatically and at no cost. However, in my situation, as a system integrator partner of Automation Anywhere, they inform us of available hotfixes, which we then download and implement without issue.

We use Automation Anywhere for all R2R processes, including reconciliations, journal entries, and fixed assets. Our systems are set up in a way that requires a lot of manual processes. We redesigned the processes so that we could move to some rule-based ways of working. Then, wherever we could make it rule-based, we implemented RPA.

The benefit of using Automation Anywhere is the efficiency of operations and speed. Humans cannot work 24/7 on a task, but a machine can work continuously on it. The solution saved us a lot of time on various processes. We needed fewer people to work on those processes, which resulted in cost savings. For every one bot, we were able to save the effort of one and a half STE.

There should be a way to avoid recoding everything whenever there's an upgrade to the latest version. A lot of finance applications do not support Automation Anywhere. Many ERPs and finance tools do not talk to Automation Anywhere directly. If there are any updates or changes on the UI, you have to recode everything, which used to be a big concern area.

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

We faced challenges while implementing the solution because we were probably among the first to do it in the R2R space. However, we were able to work through and overcome those challenges.

We have seen a return on investment with Automation Anywhere.

The solution's pricing is pretty decent. We get good rates since we work with platinum partners.

We have a development team, and our business users do not do the coding. I think it depends on how simplified your design is. We try to make things quite dynamic. If there is a matrix behind the automation that defines the rules, then the business users will handle that matrix.

However, the technical team will handle the coding of how that will translate into an RPA automation. We focus on the design to ensure that it doesn't get stuck.

AI is definitely the future, but it depends on how well you can integrate it with your processes. From a financial perspective, it is still evolving. I don't think anybody has cracked the code for end-to-end automation using artificial intelligence. However, we are using AI in bits and pieces and intend to expand on that.

I don't think we have integrations because Automation Anywhere works more on the UI. Essentially, you'll create a bot ID, which is a mirror of a human user ID. Any access that that human has is replicated to that bot. You don't necessarily need to integrate Automation Anywhere with your systems. It just sits in your VDI, and then it works like any human user would work.

Upgrading the solution was a challenge because it required a whole project and some coding.

Overall, I rate the solution a seven out of ten.

In the retail industry where I work, we need to track our working hours every Sunday. This is because some Sundays have work restrictions in our country, with exceptions. We record these hours to ensure our national system can verify the accuracy of our payroll.

For example, we use Automation Anywhere to automate tasks. It takes changes from an Excel spreadsheet and updates two different systems. Another process involves checking discrepancies between the quantity of items received and those paid for. For our back-office bonus processing, we use automation for transactions in our ERP system, ensuring all necessary data is entered.

We implemented Automation Anywhere to reduce the amount of manual operational work currently required in our company. This decision comes as we are experiencing significant growth, with new stores opening and a corresponding increase in back-office workload. Additionally, Automation Anywhere will help us improve data quality and minimize errors, ultimately reducing costs.

Since implementing Automation Anywhere, our processes are much better documented. Previously, we lacked process documentation in our company. Now, not only do we have it, but it's also created quickly and accurately. Additionally, we have more control over logs. This means if a robot encounters an issue, it can automatically escalate the task to the responsible individuals. Furthermore, we now benefit from reporting capabilities that were previously unavailable.

There are three scenarios where AI could significantly improve our efficiency. Firstly, we deal with weekly discounts. We offer reduced prices on certain items and advertise them in flyers. Unfortunately, sometimes the printed flyer prices don't match the prices in the original digital tables. This inconsistency is problematic because our stores operate independently, carrying different products and offering varying discounts based on location. Consequently, we create multiple flyer versions for different cities. Currently, this process is entirely manual. Back-office staff print the flyers and then meticulously compare prices with the digital tables. We believe artificial intelligence coupled with advanced OCR could automate price verification on flyers before printing. AI could analyze the flyer images or scans and ensure they match the original data. Secondly, we encounter discrepancies between product names in vendor data and the names we use internally. AI could streamline this process by matching equivalent products and eliminating the need for manual data entry.

Automation Anywhere offers an academy that is helpful for non-technical users to learn the platform. Learning the basics typically takes up to three months.

We implemented Automation Anywhere about a month ago and developed a comprehensive solution for our office. We've already observed a significant increase in satisfaction among back-office workers who previously performed these tasks manually. Automation Anywhere has freed them from repetitive tasks, allowing them to focus on more strategic activities like report oversight. Management is also very pleased with the results, rating their satisfaction at eight out of ten. Additionally, Automation Anywhere has helped us improve both speed and accuracy by significantly reducing errors in this process.

In the first year of implementation, we have identified 20-30 processes that could benefit from automation to help us manage our growing volume of office tasks. We are considering incorporating AI as early as this year-end, depending on the success of our current implementation and any unforeseen challenges. Additionally, we see potential in generative AI to improve efficiency for both our clients and back-office staff. We've identified ten HR processes in particular that could be streamlined with this technology.

We have integrated several internally developed HR applications with Automation Anywhere to manage timesheets and vacation planning, and also integrated retail applications for checking product quantities.

I've been using Automation Anywhere for a few years now, and it's addressed most of the issues we had with previous versions. It runs smoothly, especially since our company uses Google Workspace. Overall, I've had a positive experience with Automation Anywhere. It's worked well for me, and I haven't encountered any problems so far. In the past, I also used Microsoft Workspace, and Automation Anywhere functioned well with that too. In my experience, it seems to be compatible with most platforms.

Automation Anywhere has helped save us costs and almost 40 hours per week.

In terms of development, we've been relying on the provided operations so far. However, I haven't yet explored Copilot for the discovery phase. I believe it could be a very helpful tool for us moving forward, and I think it's a great feature.

The help Automation Anywhere offers during setup isn't great for smaller companies like ours. It could be improved.

Many users in my country lack, for example, advanced Excel skills. This makes using Automation Anywhere a significant challenge for them.

The Automation Anywhere community doesn't seem very active. Additionally, navigating their site can be quite difficult when encountering problems. As a developer and engineer, I found it challenging to locate information. Support could also be improved. For example, I had trouble connecting my Google account, and finding help was nearly impossible.

In terms of variable initialization, I prefer the previous enterprise version. It was simpler and required less code. Object access could also be improved in the current version. Ideally, there would be an easier and more precise way to retrieve objects.

I have been using Automation Anywhere for three years.

Automation Anywhere is stable.

Automation Anywhere does a good job of providing automation at scale. 

It is difficult to get proper help from the technical support.

Neutral

Deploying cloud solutions can be relatively straightforward. Therefore, I don't anticipate the initial deployment of Automation Anywhere being particularly complex. It seems the Automation Anywhere salespeople provided excellent information to facilitate the implementation process. In total, three people were involved in the deployment.

By implementing processes using Automation Anywhere, we can save up to 3,000 euros within two weeks of development.

The pricing is fair and allows for scalability. This means we only pay for what we need, and if our needs increase, we can easily upgrade our plan.

Upon joining the organization, I discovered they were already using Automation Anywhere. However, before implementing this solution, they had evaluated UiPath, Blue Prism, and Microsoft Power Automate. Ultimately, Automation Anywhere won them over due to its competitive pricing, fast implementation speed, and responsive support.

I would rate Automation Anywhere nine out of ten.

Understanding the trade-offs between different solutions can be challenging for higher management. While some local RPA solutions offer free or cheap services initially, they may not be as efficient, especially as automation needs grow. It can be difficult to explain to the board that maintaining such solutions becomes increasingly complex as automation demands increase. Additionally, limited vendor support during implementation can be another hurdle.

Upgrading the solution is easy because it is cloud-based so it is all done by Automation Anywhere's people.

Currently, three departments are contributing to the development of automation solutions. We anticipate even more involvement this year. On the personnel side, ten individuals are currently involved in developing Automation Anywhere. Additionally, two people utilize the tool – one developer and one business user. We are experiencing a growth phase and are actively hiring additional staff to develop new processes.

Since it's a cloud solution, maintenance is handled by Automation Anywhere. Our team maintains the custom software and processes we've developed.

I recommend Automation Anywhere, but before implementing it, every user should first identify the processes they have that are suitable for automation. Be critical and optimize everything that can be streamlined without RPA. This is important because automation requires well-defined tasks to plan resource allocation effectively. When nominating a process for automation, evaluate the time it currently takes for a human to complete it. For example, a four-hour manual process won't become instantaneous with RPA, but it will certainly be faster. The goal is to understand the time savings and resource allocation needed for the robot. This includes determining how frequently the robot should run and on what schedule.

Automation Anywhere is used to elevate the customer experience for our financial advisors. We aim to improve our interactions with them in terms of their requests for updates to their banking instructions or anything else related to their accounts. 

Automation Anywhere has helped us improve our service. Our financial service professionals gave us some feedback that they are spending a lot of time calling our home office to check on the status of requests and doing other things that I would describe as administrative activities. That takes some time that would be better spent building their businesses and growing their relationships with their clients. It allows us to automate and streamline those administrative tasks for our financial professionals and employees.

We did everything manually before we implemented Automation Anywhere. When a financial advisor initiated a request, someone had to input that information into the appropriate record system and communicate with the advisor to update them on the status. Someone needed to follow up on the request and ensure it was completed. 

Automation Anywhere has challenged us to rethink the art of the possible. We're still considering how to leverage AI. Our attitude toward AI is evolving, but we know that it's something we must address. We believe that a delay in adopting could have an exponential effect on our ability to compete and remain among the industry leaders. We are evaluating a few use cases. In particular, we see content and knowledge management as a huge opportunity. We're exploring ways to leverage documentation and natural language processing to quickly process the information and take the appropriate action. 

We have the unattended bots running in our environment and recently launched our first document automation use case. We are also excited about the automation copilot. These use cases are crucial in the wealth management industry, which is paper-intensive, so it's essential to leverage automation for document-focused tasks. Co-pilot allows us to streamline that process while improving the accuracy of the information entering the system record and ensuring efficiency. 

The unattended bots are working behind the scenes so that employees don't need to do work that they had done previously. Our tests of the document automation and copilot features have received a positive initial response.  Employees like the UI and how it brings out the information for them to validate.

We've integrated Automation Anywhere with our internal homegrown systems and a couple of third-party applications through APIs and UI interactions. The integration has been smooth, especially from an API perspective. We can quickly pull together API endpoints for our development and leverage APIs from third parties. It's been pretty easy to bring it all together using some basic Python coding. We spend more time ensuring we have the correct information from the API owner, so we get the right connections. 

From the product side, I like the minimum viable product approach, where the first generation of a new product is released and tested in the market, but it would be great if some of those pieces were a little bit more thought out from a user experience perspective. They could take a little more time to get some insights from their customers like in a beta test or something like that. 

We have used Automation Anywhere for the last 15 months. 

Automation Anywhere's ability to automate at scale is very impressive based on what I've seen internally and heard from subject matter experts. We're starting to see what we can do with it. When we developed a rudimentary proof of concept with co-pilot coupled with document automation, it was eye-opening for our leaders and stakeholders to see how versatile and accurate it was. 

I rate Automation Anywhere support seven out of 10. I would also like to see better communication with their customer success teams. It often takes longer than expected when we submit requests for help or come across a problem we want to resolve. While I can appreciate that it sometimes takes a while to get the appropriate answer, it would be nice to be in constant communication about where they are in the process.

Neutral

Deploying Automation Anywhere was relatively easy. We implemented our first bot last year as a proof of concept. We tried various things to give us a bit of a different flavor. Whether we're using an API, UI, or doing a physical task within a third-party application. Our first bot took 10 weeks to deploy, and the rest took between eight to 10 weeks. The development time is about half of that. Most of our use cases were simple, but it took time to coordinate with various teams, like infrastructure, security team, risk management, and other IT departments. 

My role is in the center of excellence. We're on the business side, not the IT side. The company is a little different in how it sets up its CoE programs. We focus on business processes and engineering. I rely on our technology and security partners for those other pieces. There's a little bit of trial and error. We have to think of security first and foremost. We're protecting our data and our client's data.  

We needed to figure out how it fits into our ecosystem because we had never done it before. We needed to set up virtual desktops, servers, and those sorts of things. We needed to create an Active Directory account for our robots to interact, receive email, use Excel, etc. Early on, we had to learn the nuances because we would need to replicate the processes going forward. We created some reusable runbooks and IDs to set access to the system with different privileges for employees and contractors.

There is some maintenance for bots that utilize UIs, but not those that use APIs. We face more challenges when working with third-party applications because they have scheduled updates. If the bot is scheduled to run on Thursday at 2 pm, but suddenly, a pop-up window appears to run the update. We've mitigated a lot of that. If we don't have APIs, those use cases require a little bit more handholding. 

We leveraged a consulting firm to partner with us on that proof of concept. They brought expertise and ensured we were set up for success. They helped us configure our control room and enabled us to perfect the concepts, so we could see the results and realize how successful we could be with Automation Anywhere's product. 

We looked at some other solutions initially, but one of our sister firms was already an Automation Anywhere customer, and they gave the solution glowing reviews. We saw how successful they had been in leveraging Automation Anywhere's platform, so it made the decision easy for us. 

I rate Automation Anywhere nine out of 10. They're passionate about the product and want to see us succeed as customers. They will go to bat and contact the engineers to help us achieve what we want. We have on-site visits with them and business reviews where they will talk about our roadmap and potential use cases.

We've had many sit-down conversations with the Automation Anywhere team when we were testing out the document automation. We gave them feedback about potential enhancements, so when we launched our most recent document automation use case, the capabilities were already there. We didn't need to come up with a workaround or put the project on hold because the things we needed were unavailable. That commitment to customer success stands out because they know that without us, the product won't succeed. 

Automation Anywhere is an RPA tool. The use case is the same for all automation tools. In my most recent project, I've used it for three-way invoice matching and sending it to the accounts for verifications. The process was a mixture of IQ bot, which is an OCR from Automation Anywhere, and then other RPA bots. 

I've used it in health care, where people apply for insurance applications to the insurance companies. 

I have implemented more than five hundred use cases as of now.

It's helped manage repetitive processes. If there's a repetitive process, that is our best use case, and we can pitch to the customer that we can make it shorter. Then we save them man hours and increase their efficiency and accuracy. 

For example, mostly in finance, when companies are preparing the salaries and have to prepare 1,500 payments for employees, sometimes they make mistakes, and they have to spend time on that. 

We can instead provide a fixed format for the robot that they have to follow every month, and it saves a lot of time, a lot of man hours. One of our customers here in the Middle East has saved around 10,000 man-hours for a telecom company with the help of 50 to 60 robots initially, and now the same company is using around 4,000 robots now. 

It helps save time on manual tasks. Compared to manual input, the results are much better, faster, and more accurate. For example, we have clients that can now easily process 10,000 invoices in one day. They have around 55 employees for that. We can augment the workload with a root, and if an employee wants to take a holiday or needs sick leave, other employees don't have to pick up the slack. Robots can input information into the system. 

The era of automation has changed. It's time for hyper-automation now. RPA is moving from just handling repetitive tasks to allowing for AI and offering automation plus conversational AI. It will help me. Soon I will be able to use it in WhatsApp, and all of the information can be entered, and you can initiate appointments, et cetera. RPA plus conversational AI plus AI-enabled OCR systems will be the future. 

There are a lot of great features, especially the IQ bot. It has very good accuracy on invoices. Previously, we were dependent on different software, and now, we can build in Automation Anywhere only.

It's easy to use for non-technical people. It's not rocket science. A business user might take a few weeks or a month to learn it, and then they will be quite capable of doing things themselves. A technical person may learn it in 15 days. Everything needs time; however, the learning curve is not so bad. A lot of things are available to help with learning. If someone spends one or two hours a day, they will pick it up. You can Google information or watch YouTube videos. There are hundreds of demos, materials, and more free of cost.

We do use CoPilot. We try to build a center of excellence with all customers, and we're giving them training around any bottlenecks they have.

The solution has helped us increase productivity. How much of an increase differs from customer to customer. Usually, it improves by 20% to 30%.

There's lots of integration possible. We've integrated with business tools like Oracle, SAP, and Salesforce. We can integrate easily into various workflows and APIs. We can access APIs with just a few clicks. We can also build out a UI-based integration.

It's helped us save time. Every customer saves a different amount of time, percentage-wise. Some can save hundreds of hours.  I've had a client save 30% of their time over the past few years thanks to automation. 

There is a dependency issue around the control room. If the control room is not working, the bots will not work. When that happens, we have to wait for the control room to go back up. Other tools in the market do not have this issue. If something is down, it means everything is down.

I've been using the solution for three years now. However, I've worked with automation in general for six years. 

The solution is stable. It's good software. It works well. 

The product scales well. 

Technical support is good; however, sometimes it takes a while to solve problems.

Positive

I previously was using UiPath. It's quite easy to use. They are both very similar solutions. 

I was mostly involved in the infrastructure, so I was not directly involved in the deployment. My understanding is that it is not difficult. However, when we upgraded it, we had challenges. 

There is some maintenance required. Normally, it works fine. Sometimes, there may be migrations or updates required. Only one or two people need to handle maintenance. We don't maintain bots. However, we just deploy them. Maintenance can be completed by the customer, and it might take five to six hours or one day at a maximum. 

Compared to Microsoft, the solution is expensive. However, compared to UiPath, it's fairly low - maybe 25% less. Generally, within the market, the price is average. It's competitive.

I'd rate the solution eight out of ten. 

We're a reseller. 

We mainly use Automation Anywhere for pod development, to automate repetitive tasks by replicating them into bots. We conduct tests and POCs with other tools that Automation Anywhere offers. We try to see what's the best fit for our company. Because of the large offering of different tools, we see how we can leverage them and identify if they are the best solution for our teams. Mainly, we use Automation Anywhere for RPA bots for automation.

We wanted a tool that was easy to use and to implement, that we could leverage to then do the applications, and it was quick enough in our trial that we could just take our opportunity, design, and develop the requirements, and then build the solution from there and help the business with tasks that didn't add value to their processes.

We currently are looking at different use cases for AI such as document automation, process automation, product automation, communication, and many others. So we are looking at different platforms, including Automation Anywhere. Now that Automation Anywhere is offering the AI capability we want to see how we can best feed to our company and leverage AI to help us implement processes, and projects faster and automate processes in a way that will help our business.

When it comes to generative AI, the technology is here, and it's open to people to use. We wanna make sure that we leverage fully, to continue being a leader in the market. Generative AI is here to stay. We wanna make sure that we get the best use of it while maintaining quality and transparency, and making sure that we have all the security in place to leverage generative AI.

I did not have a technical background and I was able to build my first bot using Automation Anywhere after just one course. The learning curve is simple. Automation Anywhere has prebuilt blocks so we don't have to code. It is user-friendly and simply a matter of understanding best practices because we can build blocks and create with 50 steps, but we can also create with five steps if we are using best practices. When we start using the solution we look at different ways to approach the same problem and best practices so it gets better. It is a straightforward and user-friendly platform to start our journey with RPA and automation.

We are trying to start using Automation Co-Pilot but we have not fully deployed it yet because we are still trying to create the connectors. We do see the value of Automation Co-Pilot for our business. We want to be able to add humans into the loop and trigger bots. This way businesses can review the processes and even make changes. It is a better interface with fewer clicks and added value for the business user.

We touch every application in our business with Automation Anywhere. We connect to some using APIs and others through the UI depending on the applicability of the solution we are building.

Automation Anywhere is easy to implement and integrate with workflows, APIs, and applications.

We do have savings with Automation Anywhere. When we implement, we look at how much time we are saving the person and how much we can save by reducing the repetitive manual work for a business user. We have a good amount of bots that we have developed that help save the business time.

Even though we haven't used all of their features for some of our use cases, because they look at the end-to-end process, it's very useful for businesses that are starting their journey. They can build an end-to-end solution with Automation Anywhere. In our case, we leverage the automation RPA solution, but we do see other use cases to leverage other tools and applications that they prefer.

My background lies in continuous improvement, and as a black belt, I think we always have the opportunity to improve. Automation Anywhere is always looking for what is next. Even though they may have implemented something today, they are still looking at what can help our clients in the future. That is a great way to have the right offerings for clients and more of an opportunity to build a bigger community on the automation group and leverage that with the lessons learned and the challenges. Automation Anywhere is headed in the right direction but they still have a good way to go.

I have been using Automation Anywhere for one year.

I appreciate the technical support of Automation Anywhere. They are knowledgeable, senior, and jump to help us find the right solution and assess from our business case what would be the best way to approach it.

Positive

I would rate Automation Anywhere eight out of ten. It is a great tool that is easy to implement and they are always looking for what is next.

The time it takes to learn Automation Anywhere depends on what the user wants to do with it. Do they want to be a developer, a business analyst, or help businesses understand processes and identify opportunities? If a person has a good understanding of processes it can take anywhere from a few months to a few years. For a developer, it can take a bit longer.

When we analyze a problem, we consider the most effective solution, which may not always be automation or RPA. We employ other tools when appropriate, but Automation Anywhere is frequently used in our process improvements.

When there is a version change we have to conduct maintenance. It is a fair amount of time but not so much that it would impact the quality of our services.

We have a group of close to ten people who have a relationship with Automation Anywhere and deal with the maintenance.

We have a bot support group for our full portfolio because we have attended and unattended bots. This group supports the bots 24/7.

We teach Automation Anywhere to people with refugee backgrounds. It is cutting-edge technology that requires no code which makes it easy to learn and earn. This has given them greater opportunities for job inclusion.

We also use Automation Anywhere in-house in collaboration with other corporations in our Social Impact office to create curriculum and scholarship programs for people with refugee backgrounds. We train them and we do projects where they can test automation delivery for Automation Anywhere's new features. They can learn quality assurance and delivery. This way they are well trained and can provide test automation services for other companies.

The reason we implement Automation Anywhere is two-sided. For refugees, it is about evolving their skills and digital career development. For corporations, they want to utilize automation with generative AI so they can do both automation and analytics at the same time which increases their productivity even for test automation. 

Automation Anywhere changes everything drastically. Testing software takes long hours, but with Automation Anywhere we can do it within seconds. With generative AI we can create test scenarios and test data more accurately. There are a lot of changes going on.

We get a lot of requests related to documents. We can use automation, OCR, and generative AI. OCR works like eyes where we scan documents and we can use the data with automation to let the AI read it. The AI functions as the brain. Many retail companies have import and export departments dealing with many papers. They can automate them using OCR, generative AI, and automation.

The most popular programming language is now English. It has expanded the digital population. Everyone can use generative AI with just natural languages and people can focus more on local technology to handle that AI. Automation Anywhere together with generative AI is great because it is easy to use and automate.

Automation Anywhere did a lot for us. Neeti Mehta who is one of the co-founders of Automation Anywhere believes in our purpose. Everyone deserves a second chance. The number of refugees on Earth is now one hundred million people. This means that every second another human is being forcibly displaced. These people need another chance. Automation Anywhere is used by corporations and governments. People are looking for a solution that works well with generative AI and Automation Anywhere is the best solution for that. Automation Anywhere accelerates the productivity of humanity and at the same time creates inclusive job opportunities for refugees.

Automation Anywhere is super easy to use for people who don't have technical skills. Our people with refugee backgrounds didn't have IT knowledge but now they have the talents to professionally provide automation technology for corporations. It is really easy to use.

We train our refugee talent professionally, so it takes about three months to learn. Professional coding training usually takes six months. The learning curve for Automation Anywhere is shorter for our people. Our members deliver projects to teach other employees in large companies. This doesn't take three months because we provide workshops to learn bot creation and they work together to create their first bot within two weeks. It is really easy.

We started using Automation Co-Pilot around two months ago and it has helped increase everyone's productivity.

I anticipate that Automation Co-Pilot will help save us and our customers time and money, not just because we can automate our tasks but also because we can do many analytics that we couldn't do without Automation Anywhere. It is about how to enable value-add work that we can't do without automation technology. It is not just about saving time but also about advanced analytics.

Automation Anywhere is one of the best companies for automation technology and we invest a lot in integration with other systems. We have many requests from other companies but Automation Anywhere goes well with most of the systems.

Automation Anywhere has saved us and other organizations who care about social impact a lot of time and money. As an estimation, Automation Anywhere is about 60 times faster than a human. The time spent goes from one hour down to one second when we use Automation Anywhere.

Automation Anywhere can improve process mining. Many people have started using generative AI. There are many types and many systems. People are reshaping their operational flows and with a process mining system, we can visualize what we are doing with generative AI and easily spot where automation can be used to improve productivity.

I have been using Automation Anywhere for three years.

I have used other automation products and find Automation Anywhere to be easier to learn and use. Other products are more low-code, whereas Automation Anywhere is no-code making it easier to learn and user-friendly. It is also cloud-based making it more portable and easier to integrate with many cloud systems.

The deployment is easy. We are not implementing huge ERPs, but rather automation technology so it is easier than traditional huge systems. It is more flexible and we can use it to automate any task we desire.

The time it takes to deploy depends on the tasks. When automating critical operations we need to be careful in the assessment but it should not take more than six months to complete. We can complete an easy deployment in two weeks. 

I am working on the democratization of DX. I teach refugees digital skills and then our members accelerate DX of society by teaching other people digital skills. Automation Anywhere is easy to learn. The metrics we focus on when evaluating products are the learning curve and how much the product is used in the market in different countries. Automation Anywhere is used in many countries and we can support many global corporations.

I would rate Automation Anywhere ten out of ten.

Our journey started with the migration initiative. We had to migrate some processes from our legacy RPA solutions. Next, we started expanding to finance and HR, including integration with other platforms like ServiceNow and Salesforce. There are multiple teams within Paramount, like CBS News, CBS Studios, and Paramount Plus, so we've worked with them to find opportunities to build automation. We've explored multiple use cases that deliver a solid ROI, with a focus on low-code and now-code solutions. 

We have hundreds of application systems at Paramount, including legacy platforms. The merger required us to consolidate many of these systems, so there were many opportunities to use automation. One challenge we faced was that this process required someone to integrate the systems manually. It involved a lot of repetitive, mundane tasks to bridge those gaps. Automation Anywhere helped us accomplish those tasks. 

The framework that previously existed was an on-prem solution. The transition to the cloud was a huge change. The second change was redesigning and refining existing processes. While we were undergoing migration, we talked to various customer groups and decided to revisit the processes and maybe remove some things that were unnecessary. We optimized processes and took the opportunity to revise what was on the existing legacy platforms.

There's a lot of buzz around generative AI, so we are considering that on an organizational level. At the same time, we are focusing on orchestrating end-to-end processes, not just the AI. We are having conversations with tech and business groups about solving enterprise-wide problems, and we can add AI into the mix when necessary. 

I think there are many opportunities to add AI to existing use cases like legal, corporate, finance, and AI. Hopefully, we will start bringing more AI use cases to production, but we are still in the review and proof of concept stage. Still, the leadership is interested, and they've done a lot of research on AI, and we have a separate InfoSec team that must review everything. The VMware team also must review the technology. All of these AI technologies must undergo a stringent vetting process. I'm not part of that, but we share ideas and try to understand what's happening. Data analysis is a critical part. We must ensure that our data doesn't go outside the model, but we're open to any opportunity to improve our solutions and test out what makes sense. We'll try that and see how the end users respond.

Before switching to the cloud version of Automation Anywhere, I worked with v10 and v10, so I appreciate the core functionality and the fact that it's a low-code solution. That is one of the key elements that differentiates Automation Anywhere from other platforms and one of the reasons we have been able to achieve success. 

It's accessible to business users with few technical skills. We've been able to add on to our current framework and build on our existing library of reusable components, allowing developers to build their automations quicker.

The time needed to learn Automation Anywhere has varied, depending on the user. We've taken on a large number of Cylance and Cisco developers. Some can pick it up quicker, but others take a little longer because of their prior project commitments. It's all over the place. It depends on how much time they can devote to learning the solution.

Many requested improvements are already on Automation Anywhere's roadmap, like a better governance model for AI systems. We also want to see more releases for autopilot/co-pilot from a generative AI perspective. We're expecting Automation Anywhere to release those in future updates, and as long as they maintain consistent improvement in their core functionality, I believe that will lead to success.

We have established connectivity with so many applications, so we build reusable components. We identify an application that business users might want to build, so we have a framework ready by the time they're ready to get onboarded and start developing. Automation Anywhere provides a seamless experience for utilizing those packages. They need to keep adding features so the solution doesn't stagnate. One example is email automation. There need to be multiple options for authentication available. 

Automation Anywhere could add more tools to track the processes and ROI, so we can get a better understanding of the cost savings and compliance. We heavily track those metrics and make them available to the leadership for review. 

I have used the cloud version of Automation Anywhere since 2021, but I worked on the previous versions before that in past roles as a consultant. 

Automation Anywhere is highly scalable. That's one of the most significant advantages. We usually build a process on a smaller scale and then extend the capabilities. The scaling is relatively seamless.

I rate Automation Anywhere support eight out of 10. We've had a great experience with tech support. They've helped us with significant challenges we've faced and worked with us on feature requests and bugs. We've had lots of collaborative discussions.

Positive

Automation Anywhere is easy to deploy. Some processes can be deployed in a week, while the more complex processes may take four to six weeks. We have release controls in place, so everything is streamlined. All the deployment testing is handled before the automations go live. 

Upgrading is simple because we're on the cloud platform. We don't need to upgrade anything. Maintenance takes place on the partner's side because the bot engine is installed and maintained there. We only need to install the latest packages to test the new features when they are released. That takes a little time. 

I rate Automation Anywhere eight out of 10. They have a lot of expertise with ERP solutions, and the core features are keeping pace with the market. Automation Anywhere is incorporating new components like generative AI and planning to release a new governance model, so there is constant innovation and the company is working to make things better for business users and developers. It's a competitive product that's easy to deploy and maintain.