Automation Anywhere Reviews

We are a company operating in the banking industry and we use the platform in deploying robotic process automation for executing various functions from customer service management.

The automated processes include ticketing, data extraction and analysis, and business intelligence, among others. It helps us automate our functions and this has brought a positive effect into our workflow and we have been able to grow our productivity.

The platform is versatile and users across the spectrum and in various industries are able to acquire it and use it intuitively.

The platform is easy to deploy and use in every organization and when we acquired it, it brought instant impact and our employees were able to productively integrate it into our workflows.

It has helped us relieve the workload on our human workforce and thus ensures that they remain productive and motivated at all times thus work efficiently.

Brings business process automation and this helps in scaling our operations and ensuring that we are able to work 24/7, thus improving our productivity.

It has brought artificial intelligence and this allows us to improve our planning and decision-making process, ultimately growing our company and the way we execute our workflow.

The starting price, which is a one-off fee is a bit high and this may deter mid and small-sized companies from acquiring and decide to shun the platform. It ought to be broken down into monthly installments, where the billing of using the platform is done monthly. This will increase its absorption in the market.

The vendor should increase the training and other engagements with users before they acquire the platform, as this will simplify its usage further and ensure that there no hindrances in using the platform. 

I have been using Automation Anywhere for the past four years.

Customer support is available and this ensures that any user experiencing any challenge in using the platform is helped and becomes able to use the platform in a reliable manner.

It's affordable and this accords all users a chance to use the platform and grow their portfolio and withstand competition in their respective industries and markets over their rivals.

Most of our automation happens on Automation Anywhere. 

While the automation is being done, we use it as a platform. Then, depending on the number of users/ bots needed, we apply  for the corresponding licenses.

The good thing about Automation Anywhere is that any process:

1. Which is repetitive, rule-based, and only requires you to do collect/ edit information on the application frontend can be automated. 

Therefore, Automation Anywhere makes for a good use case. 

2.Wherever the process is  deterministic, with no decisions to be made, you can use it. 

It can automate any processes where 

3. Process is well established, standard, or stable, and there are not many changes in the process. For example, a simple task, such as logging into a website, launching a website and doing systematic steps on the website, can easily be captured to Automation Anywhere.  I see lot of applications, especially in finance and accounting domain.

You might have a lot of steps where you need to either extract data, repeat data, or collect data. All of those processes can be automated through RPA, and especially Automation Anywhere. You can use even automation from the server side, not just websites. The only constraint is that the process should not require human intervention and decision making.

We see the application in the 

# BPO space, 

# Finance and accounting, 

# Health care in terms of claim processing.

E.g. in F&A, if you're doing invoice processing where the entire process is manual, and the analyst has to go through the invoice to determine invoice details, discount on the payment  or a penalty should be levied. In such cases, you can scan this information through an OCR, which is an optical character recognition tool. Then, the rest of the information can be pretty much retrieved by the RPA, which means the RPA will scan the information to classify this information and fill up the  web form. This will be sent to the ERP. This is how the workflow would look like. 

Wherever you can put

# a rule-based system, you can automate all of the processes. In our company, all these processes are manual and you might have 50 to 60 people supporting this process for a mid-size company. You can automate it and reduce the manual effort by almost 40 to 50 percent, depending upon how many techs are enrolled and what is the effort being spent in order to process transaction volumes.

I have been familiar with a couple of projects where this was implemented in cash applications or invoice processing, and they could automate these steps. So, I'm familiar with some of the back-end processes and where they are getting automated.

#1.You don't have to really code anything, as it gives you a good interface (UI), because the components are already preconfigured, you  have to just a drag and drop sequence in terms of how you want to execute the steps. 

#2. There are preconfigured APIs that can be used. E.g., if you want to interact with the mailbox solution, you can have the RPA fetch attachments or email body from the mail solution. You can process attachments via test file or PDF. You can even make Automation Anywhere work around PDF, which is typically not that easy to work with in terms of extracting information.

#3. Metabots/ IQ Bots: One of the features, which we have not used too much, but available, is the MetaBot feature. These preconfigured solutions are easily downloadable, and you can just plug-and-play with a bit of customization, which also means you do not have to keep recreating and can reuse existing functionality. Some of the typical uses are that you could be regularly logging into a website. You can just download a MetaBot, as a useful webpage interface and just run it. All you have to do is maybe replace the name of the website, and in case there is a certain authentication mechanism that is being used, then provide that information.

# 4.There are multiple levels of cloning. In case screen cloning doesn't work, you can do object-based cloning or keystroke-level cloning, depending upon what parameters are available to you and what is the level of information that you capture. You can traverse between object cloning, which is the lowest, most basic form of cloning to a stroke-based cloning, which is like taking care of each keystroke-level which is made by the agent.

#1 Exception Management and Notification: When you are making a code, and there is a happy path and exception management mechanism, it would be nice if there was feedback in terms of whether this is the most appropriate way to code this. I'm not sure how this can be done, but that could be very insightful. It already gives you some screen tips, but this could be done in a better fashion, in case you are creating the workflow and then you believe a beta workflow is available or could be done. If a screen tip could be given to the coder for this sort of workflow, this would be a much better feature for Automation Anywhere. 

# 2 Type of Cloning: I've realized that sometimes when screen-level cloning is a better option, people still use object-based cloning. It would be useful if Automation Anyone could give you tips recommending fewer steps or fewer areas of exception management after you inputted your code. I'm not really sure if this is doable from a technical standpoint.

#3 Debugging: Currently, I believe the debugging of bot is a bit tricky and not very elegant, you might have to keep re-running the script to be able to identify the bug. This can be looked at, as a possible area of improvement. 

#4 Scheduling:There are two modules: the run module and the control center. In terms of scheduling and triggering, they could make it a bit more helpful and provide suggestions, e.g., if you are scheduling it, and there is a conflict, can you resolve it this way. Maybe you can get an upfront alert or something to that effect. 

#5: Stability, Workaround and fall back mechanism: When  bot breaks down, is there any of mechanisms or notifications that can be given? You can possibly choose to notify people, typically in organizations people are pretty much adverse to automation. If something breaks down, they would like to know at the earliest given opportunity that something is breaking down and piling up. They want to be able to resolve it quickly. If the resolution is going to take time, they want to be able to make some specific workaround mechanism kick in. If a bot breaks down, immediately the fallback mechanism should work too. If there could be information in terms of  when the process was out of range and somebody might need to take a look at what has happened. This is because most of these business processes that get automated are critical in nature and might have financial and operational impact. People need to know that there are working fine and not broken down. It can really have an adverse impact if they break down and nobody knows.

#6. Platform Training: My experience has been that if the person who codes the bot is not very well-trained, then they might create unstable bots. So, it's not the platform. It is just how somebody has coded the bots which can bring in lot of instability to them. I recommend that when you are using a coder that the person well-trained and have a good amount of experience already working on bots. They shouldn't be newbie or beginner who comes in to code because that will impact the quality of the code itself.

I have been working with Automation Anywhere for the last three years at two different companies.

# Business process stability: Before robotic automation, the business process itself should be stable and very well-documented. Also, anytime a change is made to the process or subprocess ensure, that the RPA gets updated too. Typically, the entire process of automation might take some time, then by that time, the initial business process might have changed a bit. There could variations in terms of volume or in the process itself.

The most important thing is that before you automate something that you must make sure that it is stable, in its steady state for whatever changes might be upcoming over the next six month to year. Otherwise, you might create a bot, which will go into production,  and fail because the underlying process itself has changed.

# Monitoring and controllership: If there is no changes in the process, bots are pretty much stable and especially, if they have been well coded. In case there have been any changes anywhere in the process or subprocess, the bot can fail. This means you must have a review mechanism with monitoring in place. Once you put a bot into production, you have to monitor it and do regular sanity checks. Otherwise, you could have situations where bots have failed and you might not know, then the process comes to a standstill. In a nutshell monitoring and control is an important aspect of RPA in the run phase.

Scalability is just scaling up the number of bots, so scalability is not a problem. You can increase the number of machines and number of bots to scale up the solution, but it can be sometimes very cost prohibitive. E.g., typically, it requires a dedicated machine, and it can't be a shared environment. This can be a bit of a constraint in terms of the number of machines being used. Otherwise, the solution is completely scalable. In case the process requires more throughput, you can just increase the number of bots which are working. Also, if you are doing this properly, then you have to make sure that there are not multiple bots running at the same time which might be at cross purposes.

I don't interact with the people from Automation Anywhere.

# Procurement of the license is easy, but depending upon what you want to automate and how you automate it that might take time. Setup is not at all difficult. You just take the license and install the application, then it's ready to go. However, in terms of what you're trying to automate, how you're trying to automate it, and the complexity of the problem, the entire automation process can take time.

# Implementation timelines:The time frame to implement depends on the complexities and number of the processes and subprocesses. In a typical process, the coding, testing, and deployment could range from a week to four weeks. However, I have seen it sometimes take longer because you have to continuously keep checking and testing it. Every time the code breaks down, you have to possibly start from the beginning.

My experience has been one to four weeks as the ideal time frame. However, depending on how well the process was understood and documented, there can be certain gaps which would only become evident during the testing phase, not otherwise.

# Resources: Depending on the number of bots that you have to create and the number of the complex processes along with the given budget and timelines that you have in mind, the number of developers range from one to multiple developers. The resources that you really need are developers because they are people who will be coding. Otherwise, from an ownership standpoint, we need some subject-matter expertise for the process. The people who are subject-matter experts will be needed on a part-time basis for the developer to be able to map the process well and be able to create their technical design. Then, you will need a technical master who creates the technical documentation of how it will be coded. The number of technical masters again depends upon the processes and complexity along with the corresponding number of developers.

The deployment team may not be very big. You need just the developers and a design architect, mostly two people. All the other people come and go per the requirement stage of the deployment. There might be people who are there only for consultation. Some people might be there only to approve the solution. Whenever you bring in automation, it has to be reviewed, monitored, and assessed from the organization's standpoint. There might be people who are just doing approvals for this process deployment in case it's a very complex project, and then there is a project manager. Otherwise, sometimes the technical design person doubles up as a project manager too.

Before implementing, you do the assessment of why the organization wants to automate:

Imperatives for Robotic Automation 

• What do they want to automate? 
• What are the key objectives  the organization wants to achieve through robotic automation? 
• Is it a process optimization or is it cost cutting? 
• Who is driving the automation? Is it client-driven or is it vendor-driven? 

Then, you have to build the business case in terms of what you want to try to automate. E.g., how much can actually be automated? That assessment should be done. Even the cost and time of automation versus that benefits that you're going to get out of it needs to be done.

# Process Degeneration: When we start automating, we do a process desegregation. This means whatever processes are under scope that we try and understand the task level, activity level, and precedence details. We make activity diagrams, then try and assess out of all of these which one can be automated. So, if the automation index is pretty high, which means that most of the process can be automated, e.g., up to 80 percent, then it might make a better business case than if the automobility is only say 30 to 40 percent. Then, the cost of automation might be way higher.

# Setting the right expectations with the client: t is also important to set the right expectations with the organization. Are they new to automation or do they some prior experience with automation? Because this helps us set the right expectations in terms of the benefits which can be had. The customer might also want to understand what are the impacts if automation fails and the fallback mechanisms. For example:

• How do you mitigate or remediate the impact of automation failure? 
• What is a criticality of the process you're automating? 
• What are your points of failure and choke points? 
• What are your backup plans if things aren't going well?

The most important thing is the business case as to the cost versus the benefits of automation.

# Legal and Compliance Regulations: Also, are any legal or compliance regulations which are applicable because technically it might be feasible to automate, but legally or from a compliance point of view, it might not be good idea to automate. You might want to still have human intervention in terms of verification and validation.

# Criticality of the process: From a financial impact standpoint, things that require a bit of background investigation might be better kept as a manual process or require a human approval rather than automating it completely.

It all depends on the scale. In one project that I have worked on, we had a savings of $200,000 over a three-year period and a payback period of 6 months. The typical ratio is that one bot will replace two people.

# Licensing: One of the components of key drivers for us to renew our contract is AI or automation. As an organization, we are moving toward smarter operations.

Our pricing a year ago was $600 per license, but I am not sure of our current licensing cost.

# Set up cost: Additional costs will be for the machines and the number of machines that you are using. You can deploy virtually as well as on physical machines. In both the situations, you do need to allocate a certain budget for securing the machines and where the software will be installed and running. 

# Dedicated Machines: The machines cannot be used for anything else, because only a certain bot can run at a certain time. You need to be very particular about your scheduling of running the bots, and while the bot is running nobody can use the machine. You cannot have an agent working on a machine and the bot running in the background. The machine  has to be completely dedicated. 

# Network Bandwidth and Disk Space: Then there are the network bandwidth requirements and  disk space requirements, which are additional costs apart from the licensing and software costs. The developer is also going to charge you for their coding time too.

There are two or three more tools in the market such as Blue Prism, UI Path, but I think the preference was given to Automation Anywhere.

I have only worked with Automation Anywhere.

Understand why you are choosing Automation Anywhere, as the platforms are pretty on the same level except for certain functionalities. Also, in some scenarios, one platform could be better than another. Pick a platform and stick with it.

It is easy to use, but I realize that the effectiveness of the platform depends on the coder and how he is doing the coding. This is my experience, because I have seen that the quality of the automation is as good as the person who is using it. In Automation Anywhere, the skill set of the coder really determines how good the automation is, which is why I am making it a eight (out of 10), not 10 (out of 10). Because while the platform is feature-rich and easy to use, it is the skill of the coder that determines how well the platform is leveraged.

I' am now mainly driving AI at my company. RPA has become a bit secondary in the sense that it is a part of my solution, but most of the time, it is AI-driven. RPA sort of helps in the execution of some of the components of that overall solution. From the organization's standpoint, automation is already a part of all our solutions. E.g., our organization is moving toward automation where almost 30 percent of any deal will be allocated to automation. It will be a ratio of 70:30, where out of $100, a total of $30 dollars will be allocated toward automation and AI.

I did my certification on version 10.4.

The primary use case of this solution in my environment is to use bots to extract the important logistical information from each of the customer Microsoft Excel sheets. Next, the information is transferred, to be entered into the government official logistics documentation.

Prior to submitting the data to the company warehouse management system, it is checked and balanced. The same needs to be done before submission to the official government website.

It helps my organization to further improve the management and assigning of tasks to its human resources.

Through the use of Automation Anywhere bots, no longer do the staff in my organization need to carry out the task of transferring data from Excel sheets to our data or the government website. Thus, as all of these processes are being automated, this manpower can now be shifted to be used in other areas that can be beneficial to the company.

The most valuable feature is IQ Bot, as it allowed us to train it to extract important logistical information from customer PDF documents, irrespective of the format. This is valuable because not all PDF sheets have the same format. Many customers tend to use various formats to represent their data. Hence, with IQ bot, even with the wide variety of different PDF formats, the bots would still able to help us extract what we needed.

I hope that Automation Anywhere can further optimize its bots to help automate tasks with Microsoft Word documents and Microsoft PowerPoint documents because, in most organizations, there is a lot of reporting required. Hence, it would be great and more cost and time-efficient if there is a way to automate everyday tasks such as Microsoft Word Report Generation and Microsoft PowerPoint Presentation Generation.

Further, I would also recommend that Automation Anywhere assist users with automating tasks such as the monthly payment of essential services. For example, automating payment of utilities like the water bill or electricity bill, online.

We have been using Automation Anywhere for two years.

The scalability of this solution is fantastic, as the bots can be run on multiple machines at the same time.

The customer service is fantastic and they always provide reliable feedback and help.

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

The initial setup is straightforward.

We have an in-house developer as well as a vendor team. The vendor team has a high level of expertise.

The ROI in terms of finance cannot be disclosed due to company policy but the bots have made the everyday process of extracting logistics information from customer Excel sheets or PDF files much more efficient and faster than the traditional manual method.

I advise others that even as of right now, the setup cost and licensing cost to automate bots on Automation Anywhere is steep but it is worth the investment!

We considered other Robotic Process Automation tools such as UiPath and Blue Prism.

We have been using RPA for the past seven years and have dealt with a lot of other RPA vendors. We have many use cases across all of the verticals like technology, HR, Finance, Mortgage, Insurance, etc.

The current one, on which we are focusing is Mortgage use cases. We have proven experience in all of the verticals with different use cases. Especially when it comes to the environment, there are no restrictions in that regard because it's all based on the client's requirements and their expectations as well. There are a few clients that came with a Citrix gateway, others use the VDI based approach, and still, others bring their own operating systems.

One thing that I want to highlight AA for is their security standards. It's an easy win situation when we present this to our clients. The CyberArk integration and setup are really amazing and it helps us to win deals for new projects.

Especially on the Cognitive capabilities, AA enables us to adopt third-party extensions and products, which is very useful to accommodate more use cases and push the RPA practice to the next level.

The most valuable features are the IQ Bot and Process Discovery.

1. IQ Bot - In earlier days, everyone started with RPA by mimicking the users' actions and achieved some automation expectations. But nowadays, apart from the basic action, there is a need for intelligence like Machine earning, Deep learning, and Artificial Intelligence. The IQ Bot accommodates such expectations. There are a lot of pre-trained workflows available and a lot of capabilities to involve users to train the model.
   
2. Process Discovery - The next trend is Process discovery and it involves automating the identification of process requirements for activities and then automatically developing the workflow.

The dedicated BPM from AA should help to cover more use cases. I would strongly say that AA should have a more advanced BPM tool to support the process/use cases attempted in the project. Instead of depending on other open-source BPM products, AA should provide their own BPM for attended automations.

We have been using Automation Anywhere for two years.

Stability-wise, this product is excellent.

The scalability of AA is excellent.

Technical support is excellent.

We have more than seven years of experience in RPA and with different vendors and a lot of different tools. We used the same approach but the recent updates and growth of AA have helped us decide to make use of it

The initial setup is straightforward.

We implemented in-house, with the help of vendor support documents.

My advice for anybody who is implementing Automation Anywhere is that 

It's not always necessary to tie up or utilize unattended bots or achieve 100 % automation. A lot of opportunities are there with the ratio of 80:20 (80% automation and 20% manual intervention) or 70:30.

Our primary use case is automation development supporting internal business operations at KPMG. We have 100+ live automations, with v10 and v11 deployments.

Using this solution has freed internal operations employees to do more "human value-add" work by removing mundane manual tasks. It has improved the quality of these tasks through automation and enabled us to do things we couldn't have previously done due to time and cost.

The most valuable feature so far is Task bot deployment. We hope to expand to IQ Bot this year.

Automation Anywhere's interaction with Excel is a key benefit.

Currently, Automation Anywhere's debugging functionality is minimal.  Most notable is that it works on only the top-level task (not on sub-tasks called by the top-level task).  This limits its practical usefulness.  Increasing the robustness of the debugging functionality would be very helpful.

Additionally, implmentation of a "global" variable concept (variables shared across tasks) would be very useful.  AA's variable mapping between tasks is cumbersome.  

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

Our case was downloading the invoices from an Oracle Application.

It involved web and desktop applications and the setup was done in a Citrix, where the AA tool and required applications were installed in a secure environment.

Using Object Cloning for a web application, we extract a record of a company code for which all the invoices need to be extracted, based on month and year. When the company codes are available then all the invoices were extracted, applying the proper logic in the Oracle environment (Similar to SAP).

Proper logging and exceptional handling were supported.

Testing was done in the Dev and Test Environment and finally deployed to PROD.

The Bot was scheduled as per the customer requirements in the Control Room, to be executed as per the demand.

It has improved a lot by automating repetitive steps and hence saving a lot of quality time. 

It's very easy to use and all of the employees can easily get involved in the process, whether they are a developer, support, or have an HR background.

Almost all the easy and complex processes can be automated.

For each employee, the tool is useful if they have some redundant or repetitive tasks to perform on a daily or weekly basis, such as timesheet submission or shift allowance extra. It's a BOT BUDDY, as it is called in our organization.

It's very fast and takes no time to execute a lengthy process.

It's secure; all of the passwords and UN are secured.

The tool is simple and easy to debug and run.

The Automation Anywhere University is vast and we can easily get support from other community members.

Free certification and tutorial videos are readily available and are free of cost.

The Control room is valuable, as we can schedule the bot at any time and give access to anyone from anywhere.

The Recorder feature helps to automate without any effort and is very robust and precise.

The automation is very fast and in no time, it executes the process and hence increases the SLA by a vast margin as compared to other RPA tools.

IQ Bot is a very high niche tool and reads any kind of scanned copy and gives the output with more than 95% precision. It's very simple and supports Python and NLP for adding extra features.

Metabot helps to make reusable components and can be used as a function wherever needed.

It supports Dlls, VBScript, Python script, and macros.

Bot Insight helps to get the analytics in a more enhanced and visually attractive way.

The simplicity of the tool is a plus point, as it does not require one to be from coding background to work on it.

I would like the AA tool to be more proficient and a single entity tool that does not require DLLs or some script to be written separately where it is not capable. It should have more commands, which should remove the dependency on MetaBots or other scripts so that everything is available in the tool itself. This would save time.

All the time working on the tool requires internet connectivity, and it will be great if we can work offline. Offline development would be helpful.

More features like AI and ML should be included, as well as additional features to automate Citrix applications and mainframe applications.

I would like to see more Excel commands available.

Introduction to dictionaries and other data types should be included.

I would like to have a ready-made framework available so that less time is spent to develop the whole framework for the processes.

In terms of robustness, the bot should be efficient enough to deal with the code breakdowns. This could be done with more exception handling features and a ready-made framework.

More tutorials with complex scenarios and ILT training would be an improvement.

We have been using Automation Anywhere for two years.

The product is very stable and runs without delay, failures, or system hangs.

Logs are maintained both locally and at the server level.

The client and server connection is smooth.

Scalability is wonderful for AA, we can easily add the extra robots as per the transaction load without impacting the process.

The customer support and technical support are very helpful and service is available 24/7,  around the clock.

Communication is very good and their knowledge of the tool is in-depth.

Support teams are pro-active and they have a vast network of partners.

We did not use a different RPA solution before this one.

The initial setup was easy, as per the guidelines shared by AA, including the minimum system requirements such as OS level, RAM requirement, SQL Server, and .NET requirement. This information was shared via the documentation.

When finding any problem, their support team is very fast and cooperative in helping to resolve the issue ASAP.

Our company directly consulted with the Automation Product teams for RPA implementation and COE implementation in our organization.

ROI is high; usually, one process automation is equivalent to three FTEs in our organization.

It's cheapest among the competition, although bargaining is a must.

Different licenses are for Bot Runner and Bot Creator, which saves on the cost.

We evaluated UiPath and Automation Edge.

We found AA to be the best among the others in terms of pricing, licensing, support, and tool capability.

In one of my insurance domain processes, I need to extract the details of customers from an input Excel file and I need to update details like Address, DOB, and Names, all based on their requests in a web-based application.

With respect to our environment, we used Excel commands for doing operations and we faced a few Excel issues in production. Everything was fine in Dev and QA. Then we used Excel as a DB and it provided a permanent resolution.

This product has helped us a lot by improving and growing the business in different domains. Initially, when we have started RPA with AA, we implemented it for only one domain. Now, we are in a position to automate most of the processes across domains.

In V10 and V11, most of the Windows and web-based commands are helpful. We mostly use the Database commands in order to make the process faster and more secure, rather than using Excel or a CSV for reading the input files.

When we think from a business perspective, business applications are more compatible with their specific browsers. Let's say one of my customers is using Firefox, which is the most compatible browser for their application, when we try to automate that with AA, we don't get accurate and stable results. They need to make the AA stable across all browsers and I hope to see it fixed in the next version.

As I mentioned, if we don't close an Excel file in a safe manner, then when we try to open it or another Excel file in the same place, most of the time it will lead to issues. As we are working with unattended automation most of the time, no one will be available to take care of those issues when they happen

I have been working with Automation Anywhere for the past four and a half years. I have worked on versions 9, 10, and 11. Currently, I have started working hands-on with A2019. You are moving to A2019 very soon. 

AA is not stable across all different browsers.

RPA is what I have been working on since my career started. 

I can suggest Automation Anywhere.

I tried multiple options but I found that Automation Anywhere has better options when compared to all of the other tools.

Automate Business processes pertaining to various business units. We used Automation Anywhere Control room and different versions of AA 10.x and AA 11.x to deliver Robotic Process Automation Solutions for different clients. Automation Anywhere helped multiple clients to save a lot of data entry time and have automated almost every repetitive task. AA control room helped to manage the operations of both Attended and UnAttended automations and have helped a continuous run of the bots saving hundreds of thousands of dollars.

Automation Anywhere helped our organization to get our training and implementation needs successful by providing both community edition and partner edition. Automation Anywhere seamlessly handed off exceptions to employees from Automation Anywhere bots. It helped to better manage  Automation Anywhere bot capacity, as well as to reuse and repurpose the bots in the cloud. 

It helped in Monitoring Automation Anywhere bot progress and report on bot usage and value in the form of Insights provided instant details of the savings and work in detailed analytical charts.

A 2019 dual-mode is very useful and the Control room type of setup for use of A2019 Client is very useful as it eliminates disconnection issues. Also, the broad range of Commands and elimination of the need for Metabots is also very helpful in Automating the increased number of variable types cover an expanded range of web and window components. 

Bot insights and IQ bots are both valuable features if implemented in a cost-effective way for larger enterprises, Bot insights provide analytical details of the ROI that is generated by running bots and IQ bots help to automate document processing in an intelligent way minimizing the cost of document processing and hence saving a lot of employee time and money for any enterprise with a large volume of pdf data.

Version A2019, the Number data type variables should be available to display in "Message Box" command. This will help in debugging. At the present, a type conversion is needed to display it in the message box. There should be an efficient way to integrate AA 11.x. meta bots into AA2019.

Also, the Master certification should be provided free of cost for partners. More practical samples and examples of bots using new features in A2019 should be available in people Documentation. A2019 presentation material for proposing A2019 as an RPA choice should be provided to partners.

I have been using AA for six years.

Excellent

Straight Forward

7