Automation Anywhere Reviews

My primary use case is automating the reports from SAP for various domains like accounts, billing, shipment, etc. AA is consolidating the reports for these various domains across different employee numbers and order numbers, then sending them to different business owners using the SMTP server. This reduces human intervention and effort.

This automation helped the functional people to focus on other tasks instead of looking into these, and this saved around 50% of the total effort of the day.

Since business users receiving reports on time and with accuracy, this helped us in achieving better customer satisfaction

AA has vastly improved my organization in gathering more business, reducing human efforts, and optimizing client business. It does this by automating the business processes in almost the domains of SAP, which results in better client satisfaction.

With the help of Automation Anywhere, we have provided more automation ideas from our side, which helps the client in building trust with us and providing more business opportunities to grow.

We started with a team size of five and within the short span of three years, we have increased our team members to 25, handling different business domains.

We use the IQ Bot and Metabots extensively in almost all of our tasks. We have created the bots to consolidate reports from various resources like webpages, databases, and different message formates like PDFs, Excel, XML, and submitting them to the business owner.

Scheduling helps to generate and send reports without any delay.

We have used this functionality to automate business processes that submit the order forms in SAP for a large number of orders without any human intervention.

Automation Anywhere should think about the integration with Machine learning and deep learning with ease, so that AA can be used in various other domains that require human calculation and logic to work. A good application would be IVR, as this can help businesses reduce the response time and achieve better customer satisfaction

AA should include more features in the mobile app, such as monitoring and debugging bots. This can help the administrator to look at the status on the fly.

They should provide more features to improve the visibility of bots.

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

I would rate the customer service a ten out of ten, as they provided excellent support, and in a short timeframe. This helped to resolve all of our issues quickly and as efficiently as possible.

We did not use another RPA solution prior to Automation Anywhere.

We have implemented in-house.

Before choosing AA, we evaluated IBM, Blue Prism, and UiPath.

We are planning to introduce a bot for every employee in the organization. There are around 9,000 employees in our organization. We are trying to introduce a bot for each one. That's our use case currently. We are working on how to improve their day in, day out life, how to make them work efficiently, removing repetitive tasks from day-to-day work, and give them important tasks/solutions that they are supposed to work for.

A valuable feature of Automation Anywhere for my needs is IQ Bot because it covers most of the semi-structured and structure data. That's where we are struggling a lot. So, IQ Bot is a very good solution to know and bring onboard for the automation of unstructured and semi-structured data.

Another valuable feature in Automation Anywhere is the analytics, like what data is coming, the process, and the number of times it's processed. That information is very powerful in Automation Anywhere.

I am looking for artificial intelligence and machine learning. I hope that they introduce them in A2019. I'm looking forward to what will be there in A2019 because that's the area that we need to go forward. We are looking for Automation Anywhere to put up their efforts to make it easier by incorporating artificial intelligence and machine learning. Along with RPA, this would make our automation journey very easy. We can bring more processes into automation, that's where I am looking for automation to focus on.

It's a very stable, reliable product. We know a lot of use cases for customers that are running successfully. It's a pretty good product and very stable.

It's scalable. The analytics are very powerful. We can give the customer what has happened with the bot, how much time it ran, and how much time is ideal. All this information, we can easily show how successful it is, how much our productivity it is giving to them, and what ROI they're getting at the end of the year. It's pretty easy to go with Automation Anywhere.

We get a lot of support from Automation Anywhere. For any issue, we just call the people, and they're ready to be there. They send up people to our organization to set up and resolve issues. Any sort of glitches which we are facing, we can contact them anytime. They're ready to give us a solution. They even send up people to our premises to look and give the solution for us.

It is very straightforward and easy to install. They are going to introduce version A2019 online without a need to to install. There will be just one click of the URL to start developing within a minute or two, and it will start. There's nothing easier than that.

Money-wise, we get a lot of ROI. Efficiency-wise, it removes all the repetitive tasks from a person. An engineer's job is not to enter the data, check the Excel everyday, and put the data from Excel to somewhere application. If you automate the process and let Automation Anywheret do it everyday, you have a lot of time for more complicated issues. Engineers are meant to resolve issues, not doing the repetitive tasks, like Excel. Efficiency-wise, it is very good. ROI, It's also pretty good.

I can give a 10 (out of 10). It's a perfect product. It's made my life very easy and a lot of people's lives very easy. It removed a lot of people's hectic, repetitive, boring work. You give a lot of free time to people, so they can do some other work which they really want to do. It's a very good product.

We started off with accounts payable type of processes. That was our proof of concept. We built that within two or three months. It was highly successful, then we got a high level of endorsement from the wider organization. From there, we moved into academic processing where there's a lot of opportunity around the processing of student results, assessing students for admission into the university and handing out offers to students. There are a lot of things in that academic space which are highly manual. Often, these take quite a long time to process, so there's a clear benefit to the student by reducing the cycle time, which has led to great benefits for the organization.

In my case in particular, I come from a business background, not an IT background. So, it sort of speaks for itself that I was able to pickup its functionality and how it works. In the space of two years time, I've gone from a junior developer to a senior specialist. So, it really speaks for itself in terms of being user-friendly.

There are often a lot of functions within the software that will do the same thing, but it's up to the developer to decide which is the most appropriate. If there were a way of the product sort of indicating or automating which function is most applicable for that field for that particular purpose, that would be great. I think that might be a ways away. But, I think a lot of the improvements that we're looking to find are going to be in the new cloud release. So, we are really looking forward to getting on that.

Every piece of software has its downfalls. The great thing about AA, particularly in Melbourne, is we have local support. So, if we do raise a ticket, it's addressed by our local team down there. If they can't handle it, it'll be expedited abroad. So, we're always very comfortable that we're going to get a prompt reply and support, if for whatever reason, we have an issue with the software. We've sort of developed coding standards which has helped us to avoid any downfalls or pitfalls. Throughout our journey, we've learned how the software really works. We're developing it in a more mature way now, which has reduced the number of errors and breakages of the code.

it's just a learning process. As long as you're willing to learn and engage with the software, it can be quite stable.

With Automation Anywhere, there are multiple ways to achieve the same outcome; many different ways to design a bot and execute a bot. But, there's definitely a best practice out there. For those with little experience, they might be inclined to follow the quickest or the easiest way to develop a bot, but that's not necessarily the most sustainable solution. So, we sat down as a team at the university and agreed upon a certain set of standards that we will always follow. We initiated a code review process, so every code that goes into production, or every bot that goes into production will go through multiple rounds of code review. If it doesn't meet our standards, it'll be pulled back out of production, reiterated, and eventually then it'll go live.

We've gone down the Reagan approach, which was referred to in the session earlier today, where we essentially started out with that low hanging fruit. We built confidence within the business and from there, it was quite an easy sell because it was quite obvious to the business that we could deliver and could deliver fairly quickly. 

In terms of scalability, we've had to grow the team slightly. It's really important to have the right team. You need someone with a lot of experience around the tool. From there, you can bring in a range of skill sets, including SMEs. We have SMEs on the team now that don't come from an IT background or development background. By having that range of skills, we've been able to sort of up the velocity of releasing bots.

We could always do better though, and we're still learning.

The technical support in Melbourne, it's great. We have a strong relationship with Andrew Rowlands, who's our customer relationship manager down in Melbourne. We really enjoy working with him. If we do have any issues with tickets that have been unanswered, he will address them for us. I think one of Automation Anywhere's strong points is really its focus on the customer. Because naturally issues do arise with the software here and there, some of which have been addressed in later releases of the product.

We haven't yet updated to the latest release. The company is well and truly able to support all versions and is always really responsive. We typically will receive a solution within 24 to 48 hours.

The initial setup actually came before my time at the organization. I think it is a little bit of an ongoing struggle, because we don't deal with the infrastructure. We have a separate infrastructure team that sorts all that out. So, sometimes there are communication issues just trying to get our internal IT team onboard to run through the installs and that sort of thing. But, definitely with the new cloud version coming onboard, we'll be looking toward going to that. Hopefully it'll resolve some of that friction that comes about through the install process and complexity.

Obviously, the easiest way to create a bot would be using things like keystrokes. It's very intuitive, simply entering the database and what you would see on a keyboard. However, it doesn't really relate to what you're seeing on the screen. So, quite often, you'll be entering data in the wrong field if there's a performance issue with the system. While if you use object cloning, which is another function within the software, it's more dynamic. It'll wait for certain fields to appear, then you will lower the risk of breakages of code.

Just an example, in a period of two to three years, we have a positive ROI. We have a positive return. We've delivered 25 to 30 bots, which equates to over 1000 atmx files. So, for a relatively small team, we've been able to scale up quite effectively.

In regards to how AA works, UiPath has more of a design flow view, where you'll be creating process maps and executing bots face on the process flow. While Automation Anywhere has this task view, or line by line view, that I find it very easy to use and intuitive. It's just really a great piece of software.

It's a solid eight out of 10. We've delivered tremendous value in a really short amount of time. We've gotten a lot of support from our organization. Of course, there are always improvements which could make it even more powerful. But I know the company is well and truly across those. I'm sure it's going to go from strength to strength.

From the business side, we're not an organization that has tremendous volumes, like a big global bank, perhaps that sort of comes into play a bit. But again, it comes back to coding standards. We have a lot of confidence in those standards. We just really ensure that new members of the team are strictly following those for sustainable bots.

We use this solution for automating tasks such as:

• Manual journal entries on monthly closing
• Travel and expense claims processing
• Net sales monthly closing checks
• Logistics master data maintenance for every new shipment
• Vendor creation on master data for every new demand
• Order confirmation reminders automated for vendors 

We are just using it as one of the automation technologies. The major automation has already happened over SAP on the backend since the whole company globally runs on a single ERP. However, where conventional methods or basic solutions don't work, it definitely helps to use AA software.

The most valuable feature of this solution is the SMART Recorder.

The overall developer client has an easy-to-use UI.

The Control Room, scheduling features, and client repository are really good features that make day-to-day bot development and enhancement quite quick and easy.

The PDF Integration feature is also quite helpful, as well as the Send email command that helps us skip a lot of Outlook-based steps that are not necessary.

More support required to be embedded in the SMART Recorder for SAP objects.

IQ Bot should be available embedded as a feature on the developer client and not as a separate product.

Some NLP AI is required to work in combination with RPA, especially for reading unstructured emails. 

This solution is quite stable. We get one or two tickets in the whole year due to any downtime and that is never due to AA.

AA is the easiest and the best when it comes to scalability.

Technical support for this solution is the quickest and the best. I always get a response within the same day and their support matches our SLAs.

It was a little complex due to the IIS Manager and a lot of other features but with version 11 and beyond it is much easier to install and configure.

We performed the implementation in-house.

While calculating the setup cost you should account for the server, virtual machines, product licenses, maintenance costs, and running costs.

Before choosing this solution we evaluated UiPath and Blue Prism.

Be careful with the installation of this solution. It is better to do it with support from the vendor at first.

One of the biggest challenge that everybody has, and all the customers are thinking, my process has no structure or doesn't follow a pattern. That is the biggest challenge that everybody thinks. Even though our human minds are very powerful, there is a logic behind it. We try to go to customers, and say, "There is a logic always, so how do we apply the logic? The Automation Anywhere product enables us to do that. What you are doing in a repetitive task, or even some of the aspects of cognitive processing, combine both of those things together and build solutions. 

We build solutions for the oil and natural gas industry, HR, finance, and a lot of industries that can actually help customers on their journey as well.

What we have automated is taking on the automating process and making sure the automation process is touching all the components in a sequential fashion, then somebody is offboarding it. How do you make sure all the systems access either taking out or restricting it in a way that is one automation? We can only do that with Automation Anywhere because it has helped enable us to do that faster.

There are a couple of other examples, e.g., loan processing system, where there are multiple documents coming in multiple formats. Structure on structure, and often, there are a lot of back office operations where this is happens and you are actually consuming the data, feeding it to your loan processing systems, or any other systems that you use. 

What we have used with Automation Anywhere is take those desperate applications which are coming in with the various forms of data with the intent that they are built-in with IQ Bot of Automation Anywhere, then combine them with the tasks that MetaBots from Automation Anywhere provides, and we were able to automate the process. So, how can we cut shorter on the areas of arrangement, decision-making, and error reduction? We were able to do that in one of the loan processing system applications.

PDF comes in multiple ways. PDF is an actual PDF or it could be a scanned image, but people assume it's a PDF. Sometimes, it's not an actual PDF, but an OCR. So, there are multiple ways of skinning the cat. Automation Anywhere helps with the visibility of using a PDF or using OCR technology. These functions are already available, and you can extend it and beyond, as well.

The ease of visibility in the processes which are working is its most valuable feature. Take, for example, Control Room. This is one of the unique features of it, because at the end of the day, the business does not need to know whether it is a MetaBot, IQ Bot, or anything like that. How do you give the terms of business visually? Control Room is another big aspect of it, from the business point. 

From the technology point of view, it's supposed to do activities that you do in your day-to-day life. It is also extendable. Of course, we cannot solve the whole world's problems, but we can extend it with additional coding, and things like that. 

There are two things that it can provide you. 

1. Quicker in automating the task that you already have. Sometimes, the process is chaotic, but the business needs that way to perform some tasks. With automation, what we can do is accelerate the automation, then look into the process optimization that we engineer. That's where we help. Automation Anywhere helps us to accelerate the adoption of automation faster so the customer can realize the benefits.
2. It allows us to look into processes for what can be optimized. 

That is where it helps.

Last month, Automation Anywhere launched communications, which is a very good thing, because now you can actually get two things when you use it.

1. Developer experience: The developer experience is essential for the product to go into the market very well. So, that helps it. 
2. You want to get back what is working and not working, what the developers wanted, etc. 

What Automation Anywhere brings to the table is how do you actually connect these things together? The purpose of automation is automating the task that everybody is doing in their day-to-day lives or some of the cognitive side of it.

The availability of Automation Anywhere to integrate with various applications. whether it is SAP, web forms, Excel, or PDF, exposed quite a bit of integration opportunities within the organization. Definitely, this is one of the key assets, as well, for us to work better with the customers.

One of the biggest challenge that everyone is facing is in the format of the document. The document management processes that IQ Bot gives has very good functionality of how you can actually take unstructured data and make sense out of it, connecting inferences, then making the data available to the user. So, IQ Bot is one of the best tools that I can think of in that aspect. This solves the problem of various document structures, document formats, etc.

The Bot Insights is one of its big assets, because that's what they have given you the visibility.

We did use quite a bit of Citrix automation. Of course, AI Sense helps you through that. There are two big challenges that I can think of with Citrix automation. 

1. Your making multiple hops into end-to-end systems. 
2. As you are rating the screen, which is a screen within a screen, which is what Citrix automation is, the complexity increases.

That is where the two things will come in: the tool's functionality and the beauty of design. These two have to come in together to make it work. If you don't have one or the other, it's not going to work.

Let us take the example: Guidewire. We all know Guidewire. The way that guidewire is set up in the organization, or any tool, is it goes into a VDI, and from the VDI, I go into the SAP VDI. From there, I will access my IBM mainframe system, so there are multiple hops. Unless you have any iSense, and also the best design, you will not be able to achieve the outcome that you wanted.

One of the biggest challenge of automation is if you don't automate it, or if you don't execute the process then it is okay, but don't do it the wrong way. That is the biggest challenge that we try to solve. That's actually impacting the customer if I make a wrong decision. I'm okay to go back to the customer, and say, "I could not execute this process." But, I don't want to go back, saying that I executed the process in the wrong way. That's what we always believe in.

When we go to customers and talk to them about automation, "Everything is great." We can automate their process. However, one of the biggest challenge that we see personally as we automate a task, but our automation of the process is very manual. The DevOps side of it has not yet evolved. That is one aspect that I would think about. The second aspect of it is the testing side of it. Right now, automation testing is really manual testing. On one side, we are saying automating with automation. On the other side, we are automating manually. These are not going that well. As Sage IT, we have products that we are building on top of it to solve this particular problem. 

The technology is the last piece of the puzzle. The important thing is how to make sure the business has the confidence in the technology. The infrastructure, environmental management, and availability are a very big challenge in this one. They are important because you are assuming that bots are going to run automatically and will to do my work, but you don't want to find after the fact that the bot is not running and my processes did not run. So, infrastructure management and deployment mechanisms are very critical. If the deployment is not right, you get the frustration, not the automation. As soon as the frustration kicks in, the automation adoption goes away, then everyone blames the product. That's the first thing they do. Everybody blames the product, so that's where we'll look at it.

With scalability, from what I've seen when we visit some of our customers, they don't look at how do you optimally run the bots. You can run bots left, right, and center at the same time, even though there is no dependency required. That is where the stability of the automation level is great. But, if you deploy it in the wrong way, the stability would be impacted. For example, running multiple bots on the same VDI, you don't have to do it, nor do you have to tie a bot to one VDI without multitenancy. Those are some of the challenges that we've seen and can be addressed.

One of the important from the community side of it is the Bot Store, which is one of the biggest factors that I can think of. It is like a marketplace. 

The ease of use is one of great assets for Automation Anywhere. I would want it to be continued in this fashion. Of course, there is still always room for improvement for any product, but we do that as well.

On the tools' side of it, when I look at it, a lot of commands have ease of use with every task, whether it is Excel or PDF, each are commonly used tasks and automatically available to you. Again, there are some that we may to develop.

I went through most of the Automation Anywhere courses: Architecture courses and even RPA for the business user courses. The courses are very good. It also gave me a very good perspective. The only thing that I would recommend on top of it: Getting the community to grade how much better each course is. At the end of the day, when we publish courses, what's the impact of that to the customer? It's not there. If that comes up, that would be good, so some the more popular courses get more time than other courses, which are really important, but do not get that much visibility.

The bot creation process: They said we should not look at it as a technology as the first thing. I would say technology the least problem that we have. I would first look at common sense: 

• What is the bot actually doing? 
• What is the task or workflow which you are trying to automate and is it actually doing it? 
• What is the value that is actually getting to the customer? Or the impact that it is having on the customer? 

That's very important to identify. That is what it gets you the ROI, etc. You have to look at those aspects of it. 

The second aspect of it, how can you make it ease the pain? For example, if some customers are using the process, and I know to whom to talk about process, then I can determine when it is a bot, system, or mission. We have to make sure the bots and humans are working together and smarter. The second aspect that you look at is the design of it, which is very critical. 

The third aspect of it is adoption. That is what I always come back to, whether the customer has adopted it, and whether those in the chain management are communicating to the underlying teams and are right or not. We need to help all of those things. Then, developing the bot with Automation Anywhere is actually a cakewalk. I would call it very straightforward.

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.

We mainly use the bot to make our operation more efficient, save the effort of human beings, and reduce the overall cost to the organization.

Automation Anywhere has improved our organization by allowing us to reduce the number of new hires, enable us to keep the same workforce, and increase productivity.

The product is very precise, and very efficient. We run bots almost five days a week. We just tell the bot what they have to do and it is always accurate and precise, no issues.

I believe version 11 is much better than the previous version we were using.

They should make the product smarter. The bot we use right now is kind of fundamentally basic loop-based. We really want to see a little bit more advanced capability, that way we can undertake more comprehensive tasks.

The scalability, I think will be feasible, but so far we don't have any plans to increase the bots to the large scale of the operation.

So far, the bots run very stable and have little problems, we see the bots becoming more stable every day.

We can define certain procedure we already know, but we continue develop more user cases, which bring from the other end users.

I cannot say how much exactly we have made regarding ROI, but we can see the saving down the road.

We have a few licenses. They cost roughly $10,000 each.

I think understanding the product is very important. People have to understand what the bot can do before they implement one in their environment. That is very important.

We have Automation Anywhere version 11. We put all the bots on the virtual machine. We run continuously every week.

When it comes to attended automation, we try to introduce more use cases and let more people understand what the bot can do, and expand the capacity of the bot, so it can serve our organization.

We have a variety of different use cases, specifically for marketing and finance. 

• Our first goal is to look at automating repetitive tasks. 
• Our second goal is to have Automation Anywhere scale from RPA into a more cognitive tool, providing higher value solutions to the business.

We have been able to take resources that have been doing manual work and putting them into more productive work. This has been a positive impact.

We are using it to optimize our processes, then automating them.

It removes demotivating, repetitive work from our teams.

Orchestration is the valuable feature.

A lot more can be done to make the solution easy for developer to use. While it is good as a base product, it could have better logging and alerting features. We would like the tools to have more usability, especially for humans in the middle.

Other solution features which are offered by competitors, like IBM, should now be part of the part of the Automation Anywhere suite of products.

I need high value products to be created, so I need integration with other solutions. Machine learning and AI need to be integrated with Automation Anywhere. While IQ Bot is a good beginning, our company does not work with manual paperwork since we are already digital. We would like to see more integration with cognitive tools going forward.

It took us eight months to scale to our current number of bots.

We used a strategic partner (integrator) for the deployment.

Set good expectations with your senior management regarding going after the right processes. Look at innovative areas to implement a prepared robotic process automation workflow, so you can reap the benefits at a later time.

Automation Anywhere University is nice. The courses are very intuitive.