Automation Anywhere Reviews

My primary use case is collecting data from the latest sources, whether it be a spreadsheet or PDF. 

I have used Automation Anywhere in my current and previous organizations.

In my current company, we have been successful with pushing the solution through and getting management buy-in. 

In my previous organization, we started with version 7.0. We saw cost savings by automating some critical processes. In addition, the manpower was able to do high level work instead of mundane work. 

In my current organization, we are seeing great results, especially with the financial and civil processes.

It extracts what the IQ Bot does, converting it and ensuring the entire process right from the input to the output and is fully automated. It is digitizing a particular process, which is really great.

if Automation Anywhere could bring in object recognition, it would be a game changer. Today, we have a lot of video analytics. People talk about video analytics since I come from the consumer background. We are looking into the latest technologies of facial recognition from an audit proxy, e.g., counting the movement of the products from the counter versus the billing application. I have brought up this inquiry at my last three Imagine sessions but I am not getting an answer. Maybe the demand in the market is less. but people now are looking for this type of solution where Automation Anywhere can bring in some cognitive inbuilt. 

It would be great if video analytics could be brought in as a third-party product integration or on the Automation Anywhere platform. I would like the video analytics to be integrated within the next two years. Right now, most people are using third-party tools. Video can be translated into an image and information can be picked up from that, then translated into meaningful insights to make decisions.

Getting buy-in was a major challenge because of the various people not aware of the technologies moving and getting buy-in from top management is a challenge. 

A major issue is getting the in-house team trained. I would like to have a better way of managing the teams. The more your in-house team is trained, you're less dependent on your partners or solution providers, thereby scaling up the confidence of doing it in-house. I just visited a booth now on the training part to see what can be achieved so I can go back and tell my team what Automation Anywhere is providing in terms of training.

There are hiccups in the production tool. I would rate the accuracy level at 95 to 97 percent. 

Compared to the earlier versions, compliance, deliverables and other tools in the market, nobody can touch Automation Anywhere.

In terms of scalability, you have to leap frog forward. Overall, you need to work at achieving a digital workforce to scale the entire landscape of the organization by having them look to the future. It is not only the RPA part, but also you have to adopt AI and ML type technologies which can holistically cover the entire aspects and take the organization to the scalable level.

The response from the technical support is really good. 

I just met the account manager and he was thrilled to see me.

We had a technical evaluation team, which I was part of since I had earlier worked with Automation Anywhere and had a sense of it. We had been evaluating its competitors, but Automation Anywhere's stability and ease of use was great. My past experience with the solution allowed me in my current organization to make the right decision.

The initial setup is not complex. It is pretty simple. We started with small processes. then we moved onto complex types of environments. The implementation in terms of technicalities, it was not complex. In terms of getting into the nitty-gritties of what, where, when, and how it would come all together, that is the challenging part. It is the understanding the entire process of transforming the requirements into something technical. 

We used Ernest & Young for the deployment. They are one of the good partners in terms of understanding the internal processes. The consultation is great. They are with us day in and day out. They are helping us to try and transform the business.

In my current organization, we have yet to see results because we are going with a small launch with two Bot Runners and one Bot Creator. We need to asses the right approach, selection processes, choosing what to automate and what not to automate, and what would be the scale of automation. That is where a lot of hard work is required going ahead to see the results coming in the next financial year.

in my previous organization, I could see a lot of cost savings and returns from automating processes. 

More than 40 to 50 percent of the IT budget will be for the cost of automation projects in the coming years since these projects enhance operations add value.

We also considered Blue Prism, but they have nowhere near Automation Anywhere's success story in the span of just eight to nine years.

In the initial days of 2012, I visited an Automation Anywhere manager in a very small office in India. There were only about ten people operating from that region. Back then, they didn't have partners like EY. Today, they have all the Fortune companies working with Automation Anywhere, even Microsoft has joined hands with them. 

It has been a good experience working with Automation Anywhere, which started small. We were directly coordinating on simple tasks, like, "Hey this is not working. Fix it now." There were no partners in-between. 

This is the right platform and choice. Today, every business needs to be at this pace and cannot ignore automation. You have to be in the race if you really want your company to get to the next level and be at par with competitors. Bring your business to the table by getting it automated by using the right tools, like Automation Anywhere, and the right partner.

The solution delivers value.

Going forward, we are looking to add more value, then plan for a better foundation using the automation platform by making a COE team and installing the newest version of Automation Anywhere.

Automation Anywhere is removing the boring, repetitive tasks from the workforce.

I've worked on different models over different frameworks. 

I do the coding as well as the deployment side. I prepare documents and the user ID. Sometimes, if the user ID is not prepared, then I jump into the process to get it done. With the technical feasibility of the document, I take the technical feasibility and do an estimation to code the bot. I configure the bot, then code it according to the entity and get it reviewed from the client. Then, I run the bot through the Hapi port, as well as different scenarios which might come up.

Once the client is happy, we have a couple of rounds of testing. We have a "You Ready" phase where we code for a few days and the client provides data. We run through the data and this give them the technical results. When they're happy, then we finally move the code over.

One of the clients that I worked with to automate their process received invoices from 12 different companies and different regions. These are the process steps that we automated:

1. We could get the data from PDFs (the invoices were in a PDF format).
2. We accepted the data, uploaded it, and filtered out some of the data. 
3. Once we extracted the data, we use it to search data on particular websites for a particular invoice number to be processed. 
   
4. We used the invoice number to process the invoice.
5. We got approval for the invoice. 

I worked on another process where it generated offer letters for different people with templates. We would get the data in a dump. We would take that data put it into a template, and then into a Word file.

With another client, we used to receive around a million files. Per day, we would have to process around 70,000 to 80,000 records, uploading data where the volume was huge. We deployed the process in multiple bots, using about 20 bots to get the process done. For this client, every second used mattered. We had to code the bot in such a way that we could save every second for them. We had to figure out how much time the bot took and the cost savings for any particular data. We used the workload feature of Automation Anywhere get it done. The manual process took around 30 to 40 people around five to six hours a day, where the bot finishes between one to one a half hours. This was a huge time savings for the client.

For the client with 70,000 to 80,000, we created an SQL database to maintain all their records using bots. E.g., if a bot failed, then another bot would retry using the same information. In the "You Ready" phase, this process was 95 to 98 percent successful. When we finally moved it to production, we had between 99 to 100 percent accuracy. This took us around one and a half months to set up. Two development levels were involved along with an architect who was guiding us.

The most valuable feature is the object cloning. If you compare it to the other RPA tools, object cloning in Automation Anywhere is the most valuable. Mainly for web application, object cloning comes in very handy. Most processes are built as either a website or as a desktop application. Out of 800 commands, around 150 to 200 will be cloned through object cloning. In Automation Anywhere object cloning, there is a special feature called DOMXPATH, where we can customize it to any level. If IDs getting changed, which happens in some cases, then we find out the pattern. Based on the pattern, we come to the particular text box and button. Then, we can use bots along with parent-sibling relationships to get things done. 

I like that it has PGP Command and it is able to connect to a Citrix environment. 

We have the MetaBot feature, which is valuable because we can read reusable components in the MetaBot, then use them as a framework.

The training and resources for this tool are very good. They are so simple that anyone can easily learn it. One of the tool values is its ease of use.

The Excel part needs improvement because we use it as a database. Right now, we are using UiPath for this feature, as that RPA tool allows us to sort, search, and filter in Excel databases. 

The IQ Bot is pretty immature, in regards to AI and machine learning. I would like them to add additional logic.

I have been using it for almost two years now.

Automation Anywhere is quite reliable and stable, especially compared to the other RPA tools. E.g., with UiPath, code that was working yesterday might not work today.

We have experience minor issues with Automation Anywhere, such as with the object cloning, where it required us to restart the machine. Once the machine was rebooted, the solution worked fine.

It takes one or two people to handle the daily maintenance of this solution.

We code our bots with tasks and subtasks in such a way that we can easily combine them when new features come up.

The initial setup is pretty simple and fast. It can be done from the web Control Room, which can be done easily.

For coding, we are keeping the information in XLS or XML files. We use MetaBot to retrieve the data. We keep our URLs in an Excel file, so when we go to our production environment that it will automatically take the URLs and implement them.

One or two people can deploy the solution easily if they understand the requirements.

In most of the cases, the product value is very good. If the infrastructure, implementation, and framework are good, then generally, the client can get a good return on investment. However, getting good resources is tough since most people have limited experience in RPA products who struggle a lot to use these tools.

The coding for Automation Anywhere is a lot easier than for UiPath and Blue Prism. I have about a year and half of experience with UiPath. Compared to UiPath, Automation Anywhere is easy to use and bot development is faster. If you try to develop the same bots in UiPath, development of the same bots in Automation Anywhere will be faster. If the client wants the bots to be developed very quickly, we will do it Automation Anywhere. However, if they give us time, then we will us UiPath. If the process is huge and complex, then we go with Blue Prism.

Another key advantage of Automation Anywhere is the object drawing feature. This comes in very handy. Whereas, if we use UiPath, we have to use the .NET code and commands versus Automation Anywhere where can use scripts or create MetaBots. 

Companies need to do feasibility testing to avoid trying to automate processes which are not right for automation. Then, they should examine which vendor is the right one for the automation process, e.g., Automation Anywhere or UiPath. They need to establish the proper infrastructure for the RPA product, like licenses and an RPA team. The RPA can be a mixture of trained professionals and people who are learning as they go from the training provided by the tool.

Version 11.3 updated a lot of features that were previously not there, like workload automation and analytics dashboards.

I am always learning new things with this tool.

The tool is used to automate any business process. Some examples are:

• If you want to download some data from a website or push some data onto a website.
• If you work with an Excel application and want to automate it, or any Windows-based application, you can automate it as long as you know what the business process is.
• If a person is doing a day-to-day activity and you want to automate that activity, you can use the Automation Anywhere tool to do it.

I have worked with the Windows, Excel, and web applications, along with some SAP automation and how to automate that SAP data. I use Automation Anywhere to determine automation for how to:

• Distribute the process. 
• Schedule the process. 
• Run the process. 
• Design the process.
• Distribute the data for 1000 to 10,000 data points (in Excel).

I have automated the invoicing in a finance department, where the finance department wanted to automate the invoicing process. They wanted to do the following:

• Invoice the data.
• Create the invoice.
• Mail the invoice.
• Download the invoice data.

If you have 10 operators currently performing these activities everyday, then you automate the process, by removing the 10 operators and having only one operator required, this will decrease costs. It will also increase the efficiency of your company.

In the automatic invoicing system, we created a file which pushes onto a shared folder. The bot will pick up the file automatically from the shared folder and process the invoice. Therefore, if tomorrow, another bot were to be created, we could just create a file and copy it to the shared folder, then it would pick up the file and process the invoice.

I utilize all the commands provided by Automation Anywhere, such as all the recorders. I use these commands to develop my processes and bots.

Automation Anywhere has a drag and drop process.

Automation Anywhere needs to improve Excel and its commands. In Excel, if you want to add a sheet, you cannot add a sheet. There is no command for adding a sheet. Also, if you want to rename something in Excel, you cannot rename it. You always must keep a list that you can rename through your keyboard, but there is no specific command in Automation Anywhere. 

The email automation command also needs to be improved. The email automation command sometimes is not working properly. When you connect the mail server, it is not being done properly.

The OCR feature is not that reliable.

With the PDF command, you can only read structured data. If your data is in an unstructured format, there is no command for it in Automation Anywhere. Then, people need to use Python coding if their data is in unstructured format. Therefore, Automation Anywhere needs to improve in the PDF area.

I have been using the product for the last two years.

I didn't have any stability issues. 

I haven't found any scalability issues with it. If the volume increases tomorrow, another bot can be added from the Control Room.

I worked with a single deployment model, which didn't have a load balancer requirement. Higher availability deployments require load balancers.

I haven't dealt with Automation Anywhere's technical support.

For the implementation, you just follow the proper process on how to deploy the proper hardware configuration on the production environment. The process does not take that much time as you push files to the Control Room, then from the Control Room, you can download the client. It does depend on how many bots you are implementing and how you are scheduling them.

Automation Anywhere is deployed from a deployment guideline in a step-by-step process. Automation Anywhere provides some deployment guidelines, which can be referred to.

Only one person is required for deployment: the Control Room administrator.

The number of people required for monitoring the solution depends on the amount of bots deployed.

It saves time and money. If a bot does the same work as nine out of 10 people, then you are saving money through wages. Also, a bot will work all hours without interruption, whereas FTEs may need time off or vacation. 

I believe it is $10,000 for Bot Creator. 

The Automation Anywhere automation tool is user-friendly, especially compared to UiPath and Blue Prism. Automation Anywhere's deployment is also easy compared to other RPA tools.

The solution is good for people who want to do their job quickly without any delay or problems. 

The future of IT will require every organization to need automation.

The Control Room is good in version 11, as compared to the previous versions of the Control Room.

Our company is an implementation partner for Automation Anywhere, and XLNC Technologies is a consulting organization for whom I work. I am the head of delivery operations.

We are working with around 14 clients who are on Automation Anywhere. We have been able to recommend and further resell starter and enterprise packs. Implementations performed by us scale up from one bot to 10 bot runners

My primary use case for Automation Anywhere would be the one which yields higher ROI , has repetitive tasks to be performed and doesnt involve fuzzy logic for sure . Cases that we have achieved success are extraction of data from PDF's , SAP automation, AD Integration, Integration with CRM and Payment links, KYC documents and web scrapping. Listed are low hanging fruits and will boost confidence of the stakeholders in the RPA deployment , recommend to look at such use cases when looking at Automation Anywhere and its implementation.

I have worked in Dubai, and we implemented RPA for one of the major retail giants. We started out with one process (bank reconciliation) and scaled up to almost 200 bots in six months. Sales was improved by at least by 80 percent. 

During the Dubai shopping festival, there were big launches that happened on the sales/retail domains. Bots compared products with other competitors, looking at the pricing ranges then locating the price for your own product, then bringing them to the home page for easy access. All these sort of changes were managed by bots. It had a direct impact on the customer lifecycle. 

In my current implementation, which is happening in India, with the poker companies, if you played poker, then you would have observed when you are trying to make out a cash-out if you don't get your cash-out in four to eight hours that you tend to get worried about the poker game in which you were playing. One of the use case that we received was to go ahead and make cash-outs almost on a real-time basis along with the tax deduction. Because in India, there are tax deductions which happen. Before, it used to take almost a day to go ahead and get the tax deducted. Then, the cash-outs were being made in eight hours. Now, it is happening in one to two hours. This boosts the customer confidence and experience. When the customer experience increases, obviously sales will increase. 

Automation Anywhere has multiple features in it. If you could look at the agnostic tools that are available on the market, almost everybody has a similar features, but Automation Anywhere has quite a secure platform. It is highly encrypted.

It is highly scalable on cloud and virtual machines. 

Automation Anywhere is a tool. It is not able to go ahead and extract the hand-written documents. Most of the automation tools that we have in the market are not able to get an accuracy of close to 80 to 90 percent on hand-written documents. So, I'm eagerly looking at a release from Automation Anywhere, wherein they could plug in an LP or look at some sort of a platform which could convert hand-written documents into a readable format. If they could bring in they own platform, this would make a big in-roads for the entire automation industry.

If it is able to integrate with any plug-ins available on the market which could read hand-written documents, that would be good. IQ BOT is one cognitive bot that they have launched, and if they could extend this particular cognitive bot to hand-written documents, then they would have an edge over other automation giants already in existence.

Recently, they launched the business analytical dashboard, which is cutting-edge. We can see in real-time the business dynamics and the way the metrics are behaving when the bots are being run. If we could have a ready-made application allowing for input processes and metrics into it. Then, it provides the approach that you should take to start the automation and when the process should expect to be completed. 

Automation Anywhere already has bots stores and digital workers being enabled on the website. Instead of putting it on the website, if a couple of digital workers could be made inherent in the tool itself, then the customer who is buying the package gets an edge over other partners or other vendors. E.g., if Automation Anywhere could package a digital worker along with my existing tool, as sort of an add-on, then that would add value to my package. Similarly, if I am from SCN, maybe an SAT module digital worker could add value.

There are hundreds of codes or utilities available. 60 percent just go down the drain and are never used, because there is no utility towards them. If they did something like Amazon, a pay-as-you-go, to get a digital worker, it would be cutting-edge technology. This would save costs for me and would optimize my implementations. The same benefits could then be shared with my customers. 

Stability is an important part of the product. It has accolades across the globe. If it did not, stable companies in the tech and finance industries wouldn't have gone for it. It's stable because it's highly scalable on cloud and virtual machines. The codes developed in Automation Anywhere don't tend to go back, skip, or miss out. 

The current version launched is 11.3. We are more comfortable with 11.3 now. However, the earlier version, 10.7 was good to work with, but since there even newer version coming, we work with 11.3 for now. Version 11.3 does have some bugs, but they are manageable because there is a good technical support team provided by the Automation Anywhere. We haven't had any major hiccups.

The moment that you start having access levels missing or security is being quite stringent about not opening a couple of bots, they are not providing admin access rights nor providing accesses to VPNs, that's when the stability issues come in. Then, we start blaming that the application stability, which in fact is wrong, because you are not meeting the prerequisites.

Other tools tend to give me exceptions when I am scaling them on the cloud. While the infrastructure might be available, systems won't be able to talk to each other. The codes tend to miss paths, and sometimes codes are not getting applied in the application. However, with Automation Anywhere, we haven't seen any such issues until now, wherein large scale developments are being found to be unstable. 

The good thing about Automation Anywhere is the website has a detailed architecture which talks about having a load balancer and how you can scale up. 

Currently, I have been working with clients in the US and Dubai through remote support. I have been developing bots remotely where I have been able to access their virtual machines. The virtual machines are separate for creators and runners. I have around six creators on virtual machines, which is good enough to start off. There are around 25 runners which are deployed on 25 VMs. This is in US. That's how we are operating them, and it's the largest setup that we work on.

In India, clients start small. They start with a starter pack, which is only allowed to be issued by an implementation partner. If you go onto the Automation Anywhere website, there is nothing called a starter pack. So, organizations will tend to start small with a starter pack, which may come in a bundle of two or three creators, one runner, and one controller. They want to test how it is functions in their organization. If they can pick up low hanging fruit, which means if they're picking processes which are smaller but high in volume, then they will have higher ROI. Then, these organizations tend to jump onto an enterprise level deployment in a maximum of six months. That is the trend that we have seen. 

However, the moment the client starts going big and is not able to get the right ROI in place, that's where they tend to start dropping the ball. Then, they start looking for another RPA software or decide RPA is not for them.

I have been receiving good technical support them, and hence I'm sitting on the sidelines. This is because if I didn't get the right support along with the right documentation and KMS, then I would not be able to fix issues first on my own. If I'm not able to do this, then relying on the technical support would be the last thing that I would do. The technical support that Automation Anywhere provides is fantastic, especially their acknowledgment and response times. Their knowledge base articles are quite descriptive. You will be able to fix issues on your own if you are quite tech savvy. Even if you are not, then they're quite detailed enough to follow.

If you don't get the right support, then there is an escalation channel available which you can reach out to. There is a community, where get solutions. There doesn't seem to be any issues with the support currently being provided by Automation Anywhere. I find them quite responsible and available whenever I have issues.

It is quite straightforward doing an initial setup of Automation Anywhere. This is because it has a well-defined installation guide which talks about how to install Automation Anywhere software. However, automation only works when IT support is quite adequate. So, if the IT and infrastructure teams at the client site are not supportive, for example, then I'm not able to provide admin rights or open security ports. That is when the entire installation moves into a messy state. There is a way to cater to such issues. Because this is a new technology coming, if you meet with the IT support team along with the CISO of that particular organization and set the right context and objective that company wants to achieve with automation, this roadblock can be fixed.

Otherwise, I haven't faced any issues with the setup.

We start off with the planning phase. Then, we go into the asset process gathering phase. We map it along with data gathering, wherein we gather data about the collaterals, the documents which are required in the process, standard operating procedures (SOPs), user login credentials, access rights, and business logics. Once that is done, we recommend a target operating model. Once approved by the business, that's when we start development. We start doing regression testing when post development is over. Finally, we do the handover the new app to the customer operations and can deploy the bot.

If I have to do a process discovery, which includes understanding the data gathering and creating an address process map, it takes a maximum five to ten business days (simple process). It takes this amount of time because the SME has to give me their time, and I never get all the information that I need in one shot since there are a lot of business and technical exceptions that I have to cater to. I have to be quite inquisitive in asking in the process, then the process gaps and the exceptions. I have to make a map, follow up with a sign off, then get it close.

A medium level complexity project can take 25 man days and a complex process could take a least a month and a half.

If I am deploying eight to ten processes in a span of six months, I need maximum three developers. If I'm developing out 50 bots in six months, then I need 20 developers.

Once the bots are deployed, I need a support team which works in three shifts. My support team would consist of a solution architect and three developers spread across three shifts. The monitoring team would consist of a solution architect and one or two IT support people. This is for a large scale bot development. If it is a smaller scale deployment, a smaller support team is needed for monitoring.

We have saved customers 400% in terms of time saved by implementing this product.

We implemented automation in an HR domain. We had 60 percent reduced error rates, 25 percent freed working hours, and the response time from the HR department was faster than before. We automated candidate screening, payroll automation and expense management. In finance and accounting, they had a reduction in 70 percent error rates, 35 percent working hours were freed, and there was improved satisfaction for the internal customers after the automation implementation. Finally, in IT, there was 90 percent is the reduced error rate, because in IT everything is binary.

The pricing and licensing of Automation Anywhere plays an important rule in the Indian market because in the Indian market $10,000 USD is too much. Hence, the pricing tends to go down depending on the customer relationship with the partner: A starter pack is $10,000 and an enterprise pack is $100,000. If you go through an implementation partner, you can get good deals. They can save some money. 

An annual contract is really beneficial for support.

I have been working in RPA for almost two to three years now. We started off with Softomotive. Then, we began working with UiPath and Automation Anywhere.

We have (or are currently working on) PoCs with WinAutomation, WorkFusion and Blue Prism.

The biggest difference between Automation Anywhere and their competitors are the spread that they have. You don't need to look out for testimonials on why to use Automation Anywhere. There are big giants who are already using it. The feature list that they carry with them makes them stand out. Their industry first bot, IQ Bot (a cognitive bot), has already won an award for the best technology deployed in 2018. It goes in and extracts data from invoices and applies machine learning if the data is not set to the right columns, putting it back to the right columns, then goes ahead and extracts data from purchase invoices. 

It's the best product that we have at this moment.

Start small. Don't take big steps if you are automating.

We are an IT services firm. We use it for simple processes, but also for complex. We usually take up simple processes for manual tasks, which are easy to automate.

We have mostly done financial services: finance and accounting processes. That has been for the most part. We have also used it in HR and recruitment to find resumes online, and in other processes.

Its ease of deployment is the most valuable feature. We have found with many customers that it's quite easy to deploy. The other valuable feature, which is not from a technology perspective, is how Automation Anywhere collaborates with us. So, it has made our journey much easier than with other partners that we have.

Room for improvement is more on the IQ Bot side: How quickly we can adopt and deploy it? 

Another area which I feel would help is how the business can adopt it:

• Is it easier for the business to make changes to the tool once it's deployed? 
• How can the business take up roles in the man-machine continuum? 
• How can the business and machine work together, and how does the role change for the business stakeholder. 

It's more on the change management side, but includes all of the tool enabler.

It has been quite good in terms of making changes. As we are working on the process, it's much easier to make changes.

In terms of scaling up, we have not had issues with bots which are in production. In UAT, there have been scaling issues. But in production, as long as a solution is good, then it works.

It was a strategy from our company. We were looking to reduce the cost of operations for our existing clients. We were looking at different ways in which we could reduce our business, in a way, by reducing costs and get more business from the same clients. So this is where we started, by looking at automation as a major thing for Hexaware itself. It starts from our visions, which aligns very well with what Automation Anywhere provides, as a platform. That is where we started, then we have obviously grown and been able to automate many processes, which helped us to get many deals where we are upfront and able to tell clients how much optimization is possible. This is sort of my role, to showcase to the clients how much automation is feasible, in a particular process. We are quite good at that and have been able to do multiple engagements in this space.

We have automated one process, which was running with 109 people. We reduced it down to 69 with automation.

We looked at Blue Prism, UiPath, Automation Anywhere, and World Fusion, and we struggled. Initially, we worked with other firms, but we have seen a great synergy with how Automation Anywhere integrates with our team and how we are getting support from Automation Anywhere. When we are going to a client with Automation Anywhere, it's much easier. That collaboration with their support team, and their advice to us, is extremely good. That's why we end up referring Automation Anywhere.

I would like to use IQ Bot a little bit more and understand more about what is offered, as to what features are there. One of the key challenges that we have had, in implementation, is for complex processes, especially where the input is not standardized. So, IQ Bot seems to be a good tool to use there. Hopefully, it will address everything, but mostly on that.

I would rate the product around eight to eight and a half. Mainly, because there is always room for improvement, and we're happy with the tool. There are areas which we need to understand more, as well, like IQ Bot for instance. We did one engagement with IQ Bot, but we need to mature ourselves into how we can utilize it. As the product matures, I'm sure it will be easier for us.

My advice will be to get a partner who is wiling to work with you and is willing to collaborate. This will make your life easier in the automation journey. There will be initial hiccups when you are getting into this journey, and that's just part of any journey. You need to look internally as to how you can improve, and work with a strong team, to deploy the solution.

The primary use case is hard to say. We have used it in a number of different areas in our company. We've used it for HR, IT, and our business partners on the front lines using the application. Therefore, our primary use case is hard to say, but basically what we try to do is automate the drudgery out of our business partners' lives.

We have automated some of our HR applications, where there are certain courses. Because we're in a financial industry, we have to maintain certain certifications, etc. Some of that is automated where we help generate reports back to HR. In some cases, there are some very front-end, which are CSRs. We have processes automated for them so they have a less manual work effort. 

We have worked with our compliance area. Some of the things that we have automated there, because we are a financial industry, are political contributions where we have to be very careful. There are a pay-to-play laws in the US, so we've actually automated, which were very difficult because you had to go to all 50 states to download all the information. Trying to do it manually was probably over 8000 hours a year, and now, we're doing it with automation.

What is important to us is continues improvement and learning. We want everyone to be able to look at what they do with a critical eye towards how can improve and get things better? By introducing the solution and working closely with our business partners every time, we create a bot, then their mindset shifts. 

Now, they are looking at everything else they do, and saying, "Hey, wait a minute. Maybe I can do this in a different way." Whether it's using a bot, some other solution, or sometimes even just improving the process as it is without automation, the company in different parts of organization is really starting to adopt the idea of continuous learning.

Probably ease of use has been its most valuable feature. It's been very easy for us to use. We like to operate in a sort of a federated model. So, when we originally started, it was just our vendor partners who were doing the development. Now, we have our own set of core developers at my company. Since 2017, we now have about 23 different people, most of whom are certified developers, a lot of them didn't have a developer background when we started.

With the user interface, a lot of the parts of it I really like, but there are some things that could be made a little simpler. A little less clicking around here and dragging over there to use.

My impressions of the Bot Store are I really love the idea of it. We've actually downloaded a couple of them and used them. One of the more recent ones was interesting. It required a license key, which kind of confused us. If it's freeware, why do you need a license key? But we got around it.

What has also been nice, with the most recent bot from the Bot Store that we downloaded, it was developed by a vendor partner who we are partners with as well. So, when we had some issues with it, we were just put in contact with the developer at that same firm, then we were able to work through any issues. Subsequently, they have made updates to it and uploaded it back to the Bot Store, so it's actually great.

The stability is pretty good. In all fairness, I know we went from version 10.5, where we thought we were fairly stable, and we did have some issues. Then, we migrated to version 11.2 and encountered some other stability issues around scheduling things. But, after talking with some Automation Anywhere techs who were extremely helpful, we have recently, as of last week, upgraded to version 11.3.2.1, and that seems to have solved some of our problems.

We are still testing it. I still need to do some checkups. Obviously, I'm here this week, so I'm not doing it right now. Generally speaking, it is stable. Knowing what it's trying to do, I think 100 percent stability with everybody will be different. Architecture and environment are going to be pretty difficult, but they do a good job.

The scalability is easy. Installing license keys, bringing up new Bot Runners, and all that stuff from the Automation Anywhere side of it are easy. It's very easy. I've had little-to-no difficulty doing any of that. I have to go through the paperwork of hardware, VDIs, etc, and that's all on our side. But, from an Automation Anywhere standpoint, it's been very quick and easy to scale.

The technical support, from my experience, has been very good. Granted, sometimes there has been a little slowness, but if I deemed it critical, or whatever, then I've had conversations with our customer service manager, or anyone, and they've been able to get me with somebody in architect, which has been phenomenal.

When we did the upgrade to version 11.2, it was sort of complicated, because we had to start all over. We had to bring in new hardware and a new set of new databases, but the gentleman who helped me out was great. He fully documented the process for us, which was awesome, because I didn't have that from the original installs of version 10.5. Because he documented it, I was able to go through the upgrade from versions 11.2 to 11.3 very simply and fast. I would say the technical support is very good.

Why did we want to invest in an RPA solution? This was our first solution, so we weren't with someone else first. We did do some evaluation, looking at how and what we wanted to do with bots. Did we want to just use it purely on the back-end? Did we want to use it on the front-end? 

Some of the leaders at the time in the strategy and innovation team at our company just saw the need for it. We knew there was a lot of manual redundant processes that were just right for automation, so we said, "Hey, let's bring it on." The PoC sort of proved the concept, then we just brought it in-house and kept going from there.

The initial setup was somewhere right in the middle. It wasn't super simple. We could've probably done things a little better than we did, but it also wasn't horribly complex.

We used an integrator and reseller for the deployment, originally. We worked with HCL Technologies, but we found some gaps in our knowledge because of this. We didn't fully understand the architecture and how it was built. 

During all the process of the installs, we didn't get all the documentation. This made some things a little difficult for us, especially when we ended up parting ways with HCL. 

Then, we signed with a different vendor for both development and reselling, OPTIMIX. So, going through with the Automation Anywhere architects and getting it installed was great.

One of the first steps that we do before automating anything is we determine if it is a process where there is enough ROI involved to dedicate development resources or a bot to? Sometimes, in all honesty, the use case is we want to learn something, so we do it anyway. But, generally, we do a time and motion study, so we understand how much time we are saving somebody. We measure that. Additionally, we measure cost. That varies depending on the department that we're doing the automation for. But, we can measure that, and usually that is a straight hourly rate times the time saved.

Cost avoidance is something that we do, too. In other words, there was a process that we automated where a department was considering hiring someone just to do some file transfers and copies, etc. We automated that process, and they just didn't have to hire somebody.

It definitely saves us a lot of time and money.

It looks like it will be right around $115,000, not counting IQ Bot, which we won't renew until later.

We looked at Blue Prism and UiPath, but we felt that Automation Anywhere was a good mix of both the front-end and back-end, whereas UiPath seems very front-end only and Blue Prism is very back end only. We needed a mix for what we wanted to do.

We don't use it as attended as much. We have had a few cases where we were going to use attended, then just decided that for the rarity of those types of uses that we didn't want to have a Bot Runner just sitting and waiting for someone to chime in five times a day. Instead, we've created more scheduled. Right now, all of our bots are running unattended.

It's really easy to use. Again, going back to something that I mentioned earlier, we have a number of people at our firm who are now certified RPA developers that had no development background. They did that just by the online training in some cases. In some cases, it was the online training, as well as a three day class that we brought in-house and had taught. However, the only part where you want to get experience and learning are around error handling.

I've been in software for a long time. I've never seen a perfect piece of software, yet. I've seen some that are very good. With everything this is trying to do and the complexities of the environment, I'm going to give it an eight (out of ten) because it's very good. I think me giving something an eight is pretty high in this space.

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 use it for backoffice processes. We are part of a shared service, so we do billing, credit, collections, and those types of processes.

We have done close to 50 projects in the last three years. AA improves our speed as far as moving files goes. It also helps in getting people prepared to work on a daily basis. We have a lot of jobs that run at night so that when people come in in the morning, everything's ready to go for them.

For example, we have two very separate systems which need to talk to each other. It sounds very simple, but we have a job that takes a file from one system and loads it into another. But it has to do that close to 1,500 times in the middle of the night. It's a job that used to be done manually by 150 people in 150 different markets. Now, it's something that's done during the night, and when they come in it's all completed. So it was a very simple task, but there was a lot of volume. It has saved everybody a lot of time and it has saved a huge amount of manpower. It saves us thousands of hours a month.

It's also very useful as far as interacting with employees. Employees can kick off jobs on an as-needed basis rather than scheduling them. It's always very helpful to have a tool that's interactive with the employees.

One of the most valuable features is object cloning, the ability to get into websites and do things faster.

I also like its usability. It's pretty easy to learn, pretty quick to get things taken care of with it. Our average developer is up within 30 days. We have our own training program. We don't use anything from AA for training. We've been doing it long enough that we created our own.

In addition, the user interface is easy to use. It's fairly user-friendly when you don't know anything about it and open it up for the first time.

The scheduling is a little difficult at times. Rather than setting up individual instances, it would be really nice if we had the ability to set repetitive jobs easily. Right now, if you want a job to run every 15 minutes, you have to schedule it a lot of times. I'd rather have the ability to just say 'run every 15 minutes.'

There could be some improvements made in the Control Room. I really like the concept of the application that they've got, so you can now access the Control Room from a mobile device, but there's only a lot of potential, there's not a lot of functionality there yet. That would be a great place for it to be able to expand, so you could have full functionality of the Control Room through a mobile device.

And in general, I would like to the solution to get into more machine-learning/AI. I know that the IQ Bots are looking to go there, but there's definitely a lot more potential there as well.

We haven't had any problems with the actual application going down. We really haven't had any issues. We have issues with third-party products going up and down, but we've never had AA just stop.

We're a small user, so we haven't had any problem with scalability. We've talked to a lot of people who have used it on a much larger scale. For us, it's very easy to add TaskBots. We're more than satisfied with the scalability.

We're always looking for expansion of the solution within our company. We use most of the commands available. There are very few that aren't applicable to what we're doing. We're always trying to get the solution into other departments within the organization itself. We use it a lot within the shared services, the area which we own. But outside of the company, we have several projects that are not within the shared service and we're always looking to talk to the other departments and get them involved.

We have 25 bots, meaning 25 licenses. Our core team that does development has four people plus a project manager.

Tech support has greatly improved. Three years ago we didn't necessarily have the best experience, but over the years they've gotten better.

As a side note, we go through a third-party first, through ISG. That's through how our service model works. Then ISG gets AA involved if they can't answer the question. We don't necessarily directly contact AA. Most of it's through the third-party provider, and then AA eventually.

ISG is great. We really haven't had a lot of problems. When we implemented version 11.3, we went so quickly - we went with it right when it came out - that there were a few questions that ISG wasn't aware of yet because it was so new. We went to AA through ISG and they were able to answer the questions right away. But for the most part, ISG is very on top of it, and we don't need to engage AA.

This is our first go in the RPA world. We had an internal resource, somebody within the company who had seen Automation Anywhere used in other companies. That person introduced us to the concept and, from there, we did some research and saw that that's where the market was going.

The initial setup was pretty straightforward. I did it myself and I'm not an IT guy, so it wasn't super-difficult. It took me a couple of hours, including configuration. Our IT team set up the actual virtual machines themselves, but the installation was done completely by me.

Our implementation strategy was that we started super-small. At that time, we started with five bots and the Control Room. It wasn't overly difficult. I just followed the documentation provided to install the service and configure everything.

Our initial project had to have an ROI, and that's why we started small. We have never not had a yearly ROI. We've always greatly exceeded the cost of, or the investment in, the tool. In terms of how much it's saving us, I don't want to be quoted on the exact amount, but it's more than millions of dollars a year.

We purchased AA through ISG and have done both annual renewals and a multi-year renewal, the latter recently. It has been very easy to add bots on an as-needed basis.

There are no additional costs from Automation Anywhere, but there is obviously the infrastructure costs for the VMs.

We definitely evaluated lots of different options at the time. Of course, it came down to Blue Prism or to AA. We went with AA because of the feature set, the way that the development was laid out. And support was also a factor. We were much more interested in States-side support.

Any company in today's environment would be foolish not to implement RPA. There are definitely different types of use cases where you could spread it out amongst the organizations and let them do their own thing. We have chosen to keep it centralized and have been pretty successful in doing it. But everybody should be using an RPA in some capacity.

I would absolutely recommend specifically Automation Anywhere.

Our experience with the solution has been a ten out of ten. I can't speak to the other tools because we haven't used them, but we're very satisfied with what we have.