Automation Anywhere Reviews

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 use Automation Anywhere to automate specific use cases for our clients. The majority of use cases fall under the logistics and finance departments.

Our organization utilizes Automation Anywhere on the Automation Anywhere private cloud infrastructure.

We implemented Automation Anywhere to automate repetitive tasks and save humans time to focus on other tasks.

Automation Anywhere is easy to use with basic knowledge or training.

The learning curve is easy. We can learn how to use it within one week. There are a lot of courses available for Automation Anywhere.

Automation Anywhere Co-Pilot is designed for situations where humans and bots work together, especially useful when users need to enter specific details during the automation process itself.

It has helped our clients significantly increase their production and has freed up time for employees to work on other tasks.

We have integrated Automation Anywhere with our SQL database.

Adding automation into workflows and APIs is easy.

Automation Anywhere helps save organizations time and money. 

Automation Anywhere's OCR functionality stands out as the most valuable feature for us, as it allows us to swiftly extract data for repetitive tasks, significantly boosting our efficiency.

OCR technology could be more inclusive by offering a wider range of supported languages, as its current selection is limited.

I have been using Automation Anywhere for four years.

Automation Anywhere is stable.

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

The scalability of Automation Anywhere has impacted our ability to expand across more processes.

There was a time when the technical support was not able to provide an exact solution for my query.

Neutral

While I've used UiPath, I prefer Automation Anywhere for its user-friendly interface and competitive OCR capabilities. Automation Anywhere's bi-directional flow, allowing both graph and sequence views, offers greater clarity compared to UiPath's linear flow.

The initial deployment is straightforward.

I would rate Automation Anywhere nine out of ten.

Automation Anywhere requires maintenance and updates semi-annually. For an experienced person, it is an easy task.

We have eight people on our team who utilize Automation Anywhere.

I recommend taking advantage of Automation Anywhere's trial version to thoroughly test its capabilities within your specific environment before committing to a full deployment.

The use cases depend on the group functions that are in our business units. They are related to finance, procurement, and marketing spaces. This is where we are heavily utilizing it for productivity gains in terms of FTE realization.

It is an enterprise-grade tool for us. At the COE level, we are using it for automations related to the group functions. We have a comprehensive team of around 30 to 40 people supporting it. It is not used for one or two use cases. It is a proper enterprise-grade automation mechanism for us for different areas. On average, we do a couple of million dollars of automation engagements annually with it.

It meets the productivity targets that we have set for ourselves. The customer service that they provide is also quite efficient. They try to keep a close eye on our key problem areas and how they can be a partner in solving it. It has always been a very positive collaboration with them.

The integration of automation into our workflows, APIs, business applications, and documents with Automation Anywhere is quite good. It is quite seamless and scalable. They are certified. We can only adopt it if it is a certified integration.

Automation Anywhere has helped save time and cost. The savings are tangible and recorded with us.

The core RPA service that it provides and the stability that it has in maintaining that as a cloud service solution is a key enabler for us. Its stability is good, and the low-code/no-code setup that it has is very user-efficient.

The AI centricity is a bit behind compared to the way we see Microsoft and AWS doing it. This is the feedback that I have also given to them. They need to expand themselves to provide more services than just RPA. Only RPA may not be enough for us, and it would not be our preferred choice for an automation tool.

I have been using Automation Anywhere for around three years.

It is quite stable. I would rate it an eight out of ten for stability.

Its scalability is quite good. It is much better and improved now. I would rate it a seven out of ten for scalability.

It is being used by multiple departments at one location. It is being used purely at the group functions level such as finance, supply, and marketing, but not for the asset-centric operations with mining and other things.

They are quite good. I would rate them an eight out of ten.

Positive

We are using both Automation Anywhere and Power Automate Desktop for different purposes. Automation Anywhere is our COE tool, whereas Power Automate Desktop is our citizen developer tool. We have good experience with both of them, but we are trying to make a switch from Automation Anywhere to Power Automate Desktop as a part of our cost-efficiency drive. We are doing a competitive analysis to see whether we are ready for it or not.

Overall, Automation Anywhere has been stable, especially the latest versions, but its usage is expensive for us. Power Automate Desktop is our preferred tool.

Our business users who are not technical are more comfortable with Power Automate Desktop than Automation Anywhere. Automation Anywhere is a COE-grade tool. It is not for citizen developers. Automation Anywhere is easy for professional developers or someone who has experience with automation technology. It would take a non-technical person a month of hands-on experience to learn it.

The deployment was good, but the migration to the cloud was a bit tedious. It was an extensive engagement.

The upgrades are quite seamless now because it is now in the cloud, so the effort is quite less. We have a team set up for maintenance.

A team of around 20 people was needed because it was a big-scale implementation. In migration, 25 to 30 people were involved. We have a DevOps team for operational support with almost the same number of people.

We have seen ROI for our original automations. They were mostly low-hanging fruits with savings of a few FTEs, but the moment any automation has an ROI of only one FTE, it is not an economical solution for us to use. Power Automate Desktop is cheaper for us to use.

Its usage is expensive for us because my user base is mostly in Manila and KL. The unit cost of labor is cheaper there than in the U.S. or Australia, which puts a bit more stress on how to get a positive ROI while continuing to use it.

I would rate it a six out of ten for pricing.

I would absolutely recommend Automation Anywhere. It has great potential. The people who provide services are quite professional. They want us to succeed in our journey. They are not only interested in profits. They want us to do well. 

When it comes to automation and AI, there is a huge appetite at the group functions level but not much on the asset side of it. We are more focused on health and safety, and from the functional or transactional aspect, we have a keen interest in the overall automation and AI.

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

There are many use cases for Automation Anywhere. One of these involved reconciling numerous financial reports in the company I work for, which deals in consumer products and goods. Specifically, we handle credit notes and debit notes from various customers. These notes serve as certifications of transactions, indicating whether we owe something to the customers or they owe something to us. The challenge is that these notes come in different formats, all in PDFs. Consequently, someone has to manually go through each of them, input the data into Excel, and compare it with an existing Excel report. After verifying the information and ensuring it matches, we input the data into the SAP system. This process is a part of our monthly activities and involves a considerable volume of documents, given that we are a multinational company focusing on AMEA markets. 

To streamline this process, we utilized Automation Anywhere, making use of OCR technology to extract data from the PDFs. Another use case for the automation tool involved generating aging reports. As a company, we deal with numerous customers who haven't made payments yet, and we need to monitor the time they have left to pay or identify if they have exceeded the due dates. This information is available on our SAP system and needs to be created daily and distributed to all our sales teams.

If someone without technical skills wants to learn to use Automation Anywhere, it's not very difficult. However, if we simply want to use the solution without any prior experience, it may not be possible, but with proper training, someone can learn it in a month.

The learning curve is relatively easy, and it just takes time. Getting comfortable with the tool is, in my opinion, quite feasible; it can be done. The other aspect of the problem is understanding the use case and how to design it. How will we design our system? How will we design our process? Because it's never just one process that someone wants to automate; it's usually a bundle of processes. When we obtain a bot from automation anywhere, we cannot get just a fraction of a bot. We have to get a full bot. And if we have a process that does not consume all of that, then our cost-benefit ratio doesn't work. So we need to have a bunch of processes and then figure out how to schedule each bot, and how to process it. There are multiple ways of designing the flow of a bot. We should look for the optimum way considering the context, it depends on our context. The templates keep changing, and the sales keep changing, so we would have to define it in a different way where we have templates that can be replaceable. But if we are dealing with something related to compliance, then we would prioritize reliability and robustness, and we may have to compromise on flexibility while designing a solution with robustness in mind. 

All of that comes with expertise, and all of that comes with experience. However, just understanding the product and the tool to a good, fairly okay level where a business user can create a small automation and do something with it even if they don't fully maximize its value can be achieved in a couple of months. But becoming a true expert and being able to call ourselves an RPA expert will take a lot of time and further exposure to various use cases.

By using Automation Anywhere, we observed a reduction in paperwork costs and the implementation of a reliable bot. When we require manual report generation, workflow execution, and other tasks. Its efficiency is contingent upon the availability of the person overseeing the process. With Automation Anywhere, the reporting, workflow executions, and other tasks are automated and thereby enhancing overall reliability. Additionally, a notable advantage is the development of a digital mindset within the company. Exposure to automation fosters a digital way of thinking among employees, leading them to identify opportunities that can be automated. These benefits are just a few among several others, including financial gains and improved compliance.

The benefits are seen typically after three to four months per process, depending on its complexity. For processes of low to medium complexity, it usually takes about three to four months for the board to start functioning correctly. The payback ratio varies depending on the number of products or processes we have and their complexity. If we have many low-complexity processes that can be completed within six months, we will see returns on our investment within that time frame. However, it's important to note that the payback period ultimately depends on the complexity of the process. I have observed instances where processes have not yielded returns even after several months, as changes were required at three or six-month intervals, leading to additional expenses. So, the success of the process is contingent on its specific characteristics.

Automation Anywhere is able to provide automation at scale.

Integration is truly beneficial; it serves as a significant advantage of Automation Anywhere. The level of integration is highly commendable.

Automation Anywhere has helped our organization increase its automation consumption by around 50 percent.

The way templates can be configured is quite simple - it's a matter of drag and drop. Within the console, which is easy to navigate if we've seen it before, we can understand how things work. This allows business folks to join calls if needed, and I comprehend what happens within the console. 

The Board Control room is a centralized place where we can monitor all our bots and see how they are running when they are scheduled to run, and how our CPU and CB usage are looking - basically, the entire orchestration. 

I noticed that they opened up to other service providers like Accenture and Avaya, which is not a platform feature, but it was very helpful for us. Automation Anywhere, being a product company, might not excel in service, so partnering with companies like Avaya or Accenture provided us with a reliable service operation. 

The capability of understanding and extracting documents is not very good. Therefore, automating unstructured documents or any structured documents that we want to automate on Automation Anywhere is not a good idea.

The UI is not intuitive and doesn't come across as smooth.

I would like the licenses to be transferable. Currently, we are unable to transfer a user license.

I have been using Automation Anywhere for three and a half years.

I give the stability of Automation Anywhere a six out of ten.

I give the scalability of Automation Anywhere an eight out of ten.

We saw a return on investment with 50 percent of our automation processes. 

I give Automation Anywhere a six out of ten.

It depends on the specific capabilities you require. When we started out as a team at Mondelez we were setting up all the necessary components. At that time, we were primarily focused on basic capabilities such as having a good service partner, efficient bot operations, and a manageable console. Figuring out the licenses was crucial, as some companies were unwilling to share their licenses with others. So, if you had the license, you were the one responsible for using it, and it couldn't be transferred to someone else. Certain software had this complexity, and we were also not considering advanced features like OCR back then. 

Our focus was on basic RPA without many complexities. About four years ago, we believed Automation Anywhere was a well-established player in the market, so we chose them. However, later on, we realized that automation had much more to offer than simply configuring and automating certain processes. We discovered the concept of hyper-automation, which includes low-code and no-code applications that business users can build themselves. Document-related automation became crucial, and we found that Automation Anywhere lacked proper support for structured documentation and didn't leverage artificial intelligence or natural language processing effectively. Consequently, we had to explore other software options. As time progressed, we recognized the need for more capabilities. Therefore, we adopted two approaches to address this. Firstly, we sought a solution that offered modular usability. Consequently, we included Power Platform and are currently exploring the UI part. Additionally, we ventured into using newer technologies like Blue Prism, experimenting with various possibilities. Ultimately, our aim is to stay on top of advancements and adopt the best-suited tools for our needs.

The preference for API integration over a robust process automation solution depends on the capabilities of our in-house tech team. If we have an in-house tech team, then API solutions are significantly better than an automated bot. Additionally, our cost-benefit analysis, in terms of tech capabilities, also plays a crucial role in the decision-making process.

We did not perform any maintenance on Automation Anywhere.

Primarily we use it for automating back-office operations processes. Some of the most frequent use cases are:

1. Invoice processing and proofing.

2. Reconciliation

3. Automating Timesheets

4. SOW invoice creation.

5. Creation of Credit memos

6. Pulling data from SAP and generating a report.

We use VDIs to deploy. Client & runner environment is mostly Win 10. Most of the bots are scheduled. 

Some organizations still use the manual click on the run button method instead of scheduling or running from CR.

It has definitely helped automating a lot of processes, but it is very difficult to build resilient bots. It is very difficult to find skilled developers in the market, who actually build resilient bots with appropriate error handling. Maintaining the bots is another challenge as the applications keep changing.

It is even more difficult to support a bot than build from scratch. No matter how much you document, things do turn haywire if someone new has to make changes to an existing bot. 

Documenting the AA Solution SDD, PDD is another pain point. It is very common to miss out on a lot of things. 

I feel that in places it is better to create a system to automate rather than use RPA.

Most of the features are valuable. 

1. SAP GUI commands in the latest update is helpful as a lot of processes have SAP involved. 2. APIs are helpful too, but they certainly need more improvement. APIs help in building resiliency.

3. Queues are great but need improvement. They are helpful because most of the automations are transaction-based.

 4. Good old object cloning is always helpful as it is versatile.

5. Metabots help in working with many of the legacy applications. But needs improvement there as well.

6. Credential Vaults are helpful, but needs improvement there too.

1. Excel commands should include more features.

2. Need more variable types for eg. date, amount, number, etc

3. Better API support and more APIs.

4. Queues should be enabled to directly connect to DBs.

5. Managing so many variables is a pain. Some kind of variable initialization mechanism like how Blue Prism has it will be helpful.

6. Input-output variables should be defined for taskbots as well.

7.There are a lot of glitches in AA not fixed since Ver 10. Reach me to know more about them.

8. The commands should help evaluate the current state of variables(like how in Blue prism)

10. Metabots should have command to stop the task. Basically should have all commands of a task bot.

11. No one uses "WorkFlows".

12. The user roles and the Credential Vaults administration, sharing and the whole thing in action is very confusing.

13. Automatic technical logging option should be given by default in all commands like how we have in BP.

4

When it comes to RPA, for every step things should be in the right way at the right time. It is very difficult. So I would rate it as a 5 out of 10 on scalability.

It is scalable, though, in an organizational setup where teams work in silos, I have never seen any organization truly using the scalability to its full potential.

Technical support is okay. At times it takes a lot of email exchanges involved before actually setting up a call and getting help.

AA is all I am using. Blue Prism is used but I prefer AA. Though Blue Prism is better in certain aspects mentioned earlier.

It is the same as how enterprise applications should have in terms of complexity.

We develop RPA solutions for clients.

Costs are ok. IQ Bot is too expensive. Bot Vision should come for free as one can easily use a number of other visualization options for free. There is no point in paying too much for too little.

I have evaluated Blue Prism along with AA

We need some support of documentation methodologies so that the knowledge is easily transferrable through the documents.

Our primary use case is anything that is structured data and highly repetitive. We also see a lot of gain right now in paperwork, so AR, AP, and record to report. The cognitive product seems to be doing a really good job, and the pace of that going fantastic.

We have done a little bit of everything: 

• Oracle
• Salesforce.com
• Using Citrix, we did an order to cash.
• In the IQ Bot world, we seem to be doing a lot of AR and invoice-to-pay (those are the two that we see the most). 

We will be moving into medical billing next. Since we have done some really good prototypes with medical records, I think we are ready to go there next. 

One of the largest use cases that we have about a $10 billion company which does something like 20 thousand AR invoices a month. They had a solution in place. We actual replaced that IQ Bot, and we are hosting it out of San Jose right now. We are getting some phenomenal straight through processing. So, we took what would have taken 30 to 35 people and are able to do that little bit more accurately with about six.

Believe it or not, the first client that we ever did was a Citrix client. We cut our teeth on Citrix around the RPA product. It has some quirks to it, but it is becoming much better. So, we have quite a few instances of that Citrix machine in production at the client. 

The most valuable feature of our solution is the cognitive computing because that is coming onto stream a lot faster than you would think. What used to be in the middle of, "Can this be done or not?", is becoming, "It can be done." We are getting some incredible straight through processing rates with AR around healthcare and financial services. 

Integrating RPA and cognitive with other solutions is relatively straightforward. Originally, it came out that Automation Anywhere did screen scraping, but the technology is way beyond that now, where you can do object cloning, even moving into API. We have even coded a couple of APIs into the applications that most people will use. We actually do that now instead of going through a screen. 

Our impressions of IQ Bot are that it goes relatively fast at the pace that it is being advanced every six months, which is good. I believe that we have a couple of the largest installations of it in the U.S. right now. So, we are processing somewhere in the neighborhood of tens of thousands of AP and AR invoices. We actually have robotic operation centers on the West Coast and the East Coast. 

The IQ Bot has room for improvement. It is not that it doesn't do a lot of things today, it is just that it can do so much more. I think that that product is going to go crazy.

The next big thing that you are going to see is the analytics engine. I think people finally realize that you can do analytics on what the bots are doing. I think that you will see that come alive in the next six to nine months.

If you write them correctly and have good architectures internally, then scalability is relatively straightforward. This also applies to reliability. However, you sort of need to write a few before you get to this point. As more of these go to production, these are going to be the two big drivers.

Probably one of the faster scales that we have done is we did a prototype with IQ Bot that had about 500 invoices and a 1000 vendors. In about two and a half to three months time, start to finish, we went from the original amount to 15,000 invoices and 2500 vendors. I would suggest in that 90 to 120 day time frame, if you have done things properly and your architecture is good, that you should be able to scale at any pace that you care to.

We have seen both straightforward and complex initial setups. If you are behind a firewall, it is relatively easy to setup. When you are hosting the application, that is when it is a little more complicated (we actually host applications for people). You need to talk to the IT department, as you are actually outside of their firewall, then you are coming back inside their cloud. 

Depending on the architecture, it can be relatively straightforward, and it can be put up in just a day or two. Whereas, if you are hosting it and coming back in, it is a little more complicated.

What we did was we took the Automation Anywhere ROI calculations and added quite a few things to it. We actually ask 15 to 18 questions around process time, number of systems used, how people, and how many hours. Ultimately, we can stack rank those ROIs on a process, then we typically try to start with the largest ROIs first. So far, with what we have done, we have seen has been relatively close (as it is almost impossible to hit the ROI exactly), but the ROI on the product is good.   

No one is balking at the cost. They are market rates and will change, but no one is saying, "That is ridiculous or impossible." They are saying, "Show me the ROI and prove that the cost is accurate."

One of the things that will be good for the community will be to get the free version to download, which came out just a month ago called Community Edition. So, you can actually download it and try it for yourself. 

Ease of use is something that you need to get trained on. Once you have gone through the proper training, it is relatively straightforward to use. There is quite a bit of online training on their website, as well as in the Community Edition. After 30 to 40 hours with it, you should be pretty good with it.

One of the promises that we made to Automation Anywhere when we started was that everyone in our company would be trained and certified. Even as a Board Member, I am certified. 

Bot creation is relatively straightforward. Probably within 20 hours, you should be pretty good at it. There are some nuances around it though that I think separate first time developers versus seasoned developers. What you will see in the marketplace is how easy it is to develop one compared to how easy it is to develop one that runs in production 99.9 percent of the time.

Across the board, I would give it a nine out of ten. There are some areas that they can move up into, but they are working on it right now. I am assuming that everybody is working on it, so we will stay in that nine range.

Go do your homework. Call some of the larger clients because they seem to face the largest problems. Automation Anywhere has five to ten gigantic accounts that you can just talk to. Ultimately, I would just be careful in the way that you implement it. It is like any tool, if you know what you are doing, "Great," and if not, then you can make a mess. Therefore, be careful and know what you are doing.

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.

Positive

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.