IQ Bot [EOL] Reviews

IQ Bot is good software, and our current version has good functionality. First, it helps to create an instance in the development environment. Then, it allows you to export this instance and import it to another environment like the certification or production environment.

IQ Bot works well when an application generates a document, PDF, PNG, or other extensions. For example, documents or files are generated in an application like Oracle EVS, making the IQ Bot work well.

In our company, we have only five processes and about 11 instances automated using IQ Bot. For example, one involves documents generated using PDF, and another uses PNG extension.

IQ Bot has helped my organization transform digital documents and files into information to be processed. We often receive files and digital documents in a path or shared directory, and IQ Bot does the work. For example, we receive 3,000 documents a month, transform the digital information and then get the necessary data to use in our processes.

We had issues getting the data when we tried to use Tesseract, an OCR, because the OCR didn't get the exact information. However, with IQ Bot, 99 percent of the documents received work well and help send information to our clients.

With IQ Bot, we can transform an unstructured or digital document into structured data. It was our first experience using software to transform digital information into structured data.

We find errors with this solution if we have a document in paper format and use a scanner to convert it to a digital document like a PNG. As an additional feature, the technology needs to recognize signatures. Currently, there are issues with the technology identifying a signature.

We also used a previous version of IQ Bot about three years ago when we started our pilot and experienced some problems. We had issues exporting an instance and could not import it into another environment.

We have used IQ Bot for one year and use version 11.3.5, the latest version. Automation Anywhere is currently working on another version called A360.

We use on-premises architecture.

It is a stable solution. We have 11 instances and five automated processes. The use of these instances depends on the architecture and number of servers. Our architecture is enough, and we have three highly available servers that allow us to grow and use IQ Bot.

It is a scalable product. However, the scalability is a little complicated. For example, in IQ Bot, you need more servers because its memory and CPU capacity is high. It also requires a lot of hardware.

There are some improvements in the Automation Anywhere A360 new version with changes to the IQ Bot model. In this A360 model, IQ Bot RPI or Control Room automation calls are coupled. However, in the version we use, they are separated. Therefore, we must install Control Room on one server and IQ Bot on another.

I rate the technical support a four out of ten.

We did not use another solution before IQ Bot. However, we practiced using Tesseract and considered Hyperscience, another technology with intelligent document processing. After that, we decided to stop researching other options.

Our initial setup was a little complex, and the installation and setup took about two to three hours. It was our first time using this solution, but it may have been easier if we had more experience.

We needed about three people to complete the deployment. We have one architect and an analyst for deployment and maintenance, and I am their boss.

We implemented IQ Bot in-house.

We have not evaluated our returns.

I don't have details about the cost, but we evaluated the unit cost compared to other solutions like Hyperscience, which were very similar. It will be good if the price is lower.

I rate this solution a four out of ten based on our experience. However, the rating may differ with a new version and new functionalities.

Regarding advice on this solution, firstly, I recommend choosing the best scenario and appropriate use case for a company. Secondly, investigate the technology and experiences of other companies. This is necessary because some companies declare that their servers work in different scenarios when they do not. Thirdly, make a proof of concept using this technology.

We are using IQ Bot for AI-related tasks such as document understanding and classification. For example, we are using IQ Bot to extract invoice data from various types of PDFs that come from different vendors. PDFs can come in different formats such as handwritten, printed, or scanned with images, and IQ Bot is being used to extract the data from these various types of PDFs.

There are around 10 to 15 developers in our team who are using IQ Bot for different projects, and there are around 300 to 500 people in the organization who are using both Automation Anywhere and IQ Bot.

The most valuable feature of IQ Bot is that it allows me to create a learning instance or create groups multiple times based on the number of periods required, which is an advantage of using IQ Bot.

There are two areas where improvement is needed. Firstly, I find it difficult to select the key and value mapping area when creating learning instances. I suggest that the selection area could be improved. Secondly, IQ Bot should add more predefined headers for each type of document, and allow for custom headers to be added.

In the next release, I would like to add more features to IQ Bot, such as text classification, image classification, sentiment analysis, and natural language processing tools. I believe that these additional features would make things easier and enhance the capabilities of the tool beyond document analysis.

I have been using it for six to seven months. The current version is 8360 of Automation Anywhere.

I would rate the stability of IQ Bot as 50/100, meaning that it is stable only half of the time. Improvements can be made to the code behind IQ Bot, particularly in how it handles variations in PDF formats. If even a slight change is made to a PDF format, IQ Bot may fail to read it, requiring me to create a new learning instance and redeploy the Bot. This is a pain point in IQ Bot, and it would be great if it could identify even slight changes in the PDF format.

We have created tickets on the support website of Automation Anywhere whenever we needed support, and the support team used to get back to us via email or by ticket contact support. Although, we have not encountered any critical scenario that required support.

Neutral

The solution preferences depend on the client's preference. For example, if the client is using Automation Anywhere as their automation tool, then IQ Bot is the available option for AI registration.

The initial setup for IQ Bot is not difficult. One needs to procure the license and add it to the current control room. It is easy to set up Automation Anywhere as well, with just the installation of the MYSQL Server required for the infrastructure setup. The setup is pretty fast.

I would recommend trying it out in a proof-of-concept (POC) first to see if it provides the desired document classification results. I also suggest considering other options, such as Intellibot, as potentially easier to learn for this purpose.

Overall, I would rate IQ Bot an eight out of ten. The reason for not giving it a perfect score is the need to create a new learning instance for every type of document, even if there are only slight changes. It sometimes fails to read certain types of documents, requiring the user to create a new learning instance.

I am using IQ Bot for image recognition, Excel, and SAP.

The most valuable feature of IQ Bot is the Discovery Bots. They can detect and analyze for improvements.

IQ Bot could improve the documentation.

I have been using IQ Bot for approximately five years.

The newest version of IQ Bot is very stable.

IQ Bot is scalable.

The technical support I have received from IQ Bot has been of average quality.

I rate the support from IQ Bot a three out of five.

Neutral

The installation of IQ Bot sometimes is really difficult. For example, making complex architecture can be complex. Additionally, migrations are very complex. Migrating from version 11 to A360 is difficult. They have been working on it, but there is too little documentation.

The number of maintenance people needed depends on the size of many factors. For one deployment I have 10 specialists for maintenance and in another location, I only need one.

We have seen a return on investment in less than a year using IQ Bot. In approximately one year is where most of the projects started receiving a return on investment. Sometimes earlier, but the average is going to be a year.

My advice to others is to get in touch with Automation Anywhere in order to understand, or to a partner that's understanding very well how to deliver architectures in order to have the better installation that they need. Sometimes clients that bought a lot of licenses that they don't need.

I rate IQ Bot a nine out of ten.

IQ Bot is useful. Once you understand it, it's pretty useful to manipulate. It helps us a lot to enhance everything.

IQ Bot is relatively easy to use and develop. The solution's accuracy is similar to the standard, best products in the market.

It would be good if the solution could extract or capture details from unstructured data. It would also be good if the solution could incorporate AI capabilities to extract details from documents like annual reports or policy documents.

I have been working with IQ Bot for five to six years.

IQ Bot is a stable solution, and we haven’t faced any issues with its stability.

IQ Bot is a scalable solution. Since IQ Bot is expensive compared to other solutions, it is mostly used by enterprise businesses.

The technical support team delays responding to our queries, and their solutions are not quite accurate. When someone raises a query and a ticket is raised, the person answering that query should be consistent and should have the right technical knowledge.

Neutral

I rate the solution a six to seven out of ten for the ease of its initial setup.

The solution's deployment time depends on the volume and complexity of the documents, but it usually takes a few days.

The solution's return on investment depends on the volume of the documents and the region in which the solution is used. Processing a huge volume of documents gives a good return on investment. If the solution is used in India, the period for the return on investment is slightly higher. However, when used outside India, the return on investment usually comes down because the workforce they replace costs more outside India.

IQ Bot is expensive compared to other solutions.

On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing a seven out of ten.

Earlier, we implemented the solution on-premises, but lately, we have been implementing it on the cloud because of our client's requirements.

Overall, I rate IQ Bot a seven out of ten.

IQ Bot is used for extracting text data from structured and unstructured PDF files, written documents, and health care documents. We also use IQ Bot for extracting text from images.

IQ Bot uses AI technology to extract data from PDF files by analyzing and splitting a particular PDF file into separate groups.

The process of manually correcting the data in the validation queue that IQ Bot failed to extract should be automated. IQ Bot's AI technology has to be improved.

I have been using IQ Bot for four years.

IQ Bot is a stable solution.

IQ Bot's technical support is very helpful, and they respond very quickly.

Neutral

Since everything is in the cloud, IQ Bot is easy to set up.

IQ Bot's pricing is reasonable compared to other solutions but should be decreased further.

It is easy to use IQ Bot to extract accurate data from a structured digital PDF. However, sometimes it is difficult to find the characters extracted by IQ Bot because it extracts '$' as 'S' and '0' as 'O.'

IQ Bot's user interface is easy to use. A beginner, business analyst, or manager without technical knowledge can use IQ Bot.

Overall, I rate IQ Bot a five out of ten.

I use IQ Bot to automate courses.

IQ Bot's best features are its variety of outputs and how it handles structured documents.

IQ Bot doesn't accept or manage unstructured documents properly.

I've been using IQ Bot for a year and a half.

IQ Bot has some problems with stability.

The initial setup was easy.

IQ Bot is good at handling structured documents, but if you have a lot of unstructured or handwritten documents, I recommend using Hyper Center instead. I would rate IQ Bot five out of ten.

We are using IQ Bot for document processing. The use cases are predominantly around NLP and document processing.

It has a lot of great features.

The solution has been quite stable. 

The capabilities meet our needs.

It offers a pretty simple setup process.

So far, the product looks like it can scale.

We've been happy with the product as a whole. There are no missing features.

From what we are operating from now, we don't see any problem areas or anything that needs improvement. 

I would like love to see pre-trained models based on industries. If I'm looking at an insurance domain, if the UiPath, IQ Bot has an algorithm that is pre-trained with the various formats that are available in the market, that would reduce a good amount of development time.

We've used the solution for almost a year or maybe a bit more.

The solution is stable. We have not faced any performance issues as of now. That said, it's still new and we shall see down the line when we cross a critical threshold, how it is behaving.

At this point in time, we are still onboarding use cases. The variety will increase, and the volume as well, likely in the near term. At that time we would come to an understanding about the processing speed and the scalability. Since it is a SaaS product, we have the confidence that it would be available on demand. 

We have been doing everything on our own. We haven't had to reach out to technical support for assistance just yet.

We found the initial setup to be quite simple and quite straightforward. It's a SaaS and therefore not complicated to deploy.

Right now, since it is a fresh and ongoing engagement, the same team builds, deploys, and supports. It's only when you complete the automation development that you would need a team for support. Therefore, at this point in time, there is not much support activity that I foresee. Only time will tell once we enter into everything, what will be the staffing requirement. 

Doing it as a SaaS takes a lot of headaches out. Only the operations would be required to just ensure that the bots have been running. I tend to believe it would not be much of a strain on personnel in terms of maintenance in the future.

Most of the support that we do is predominantly of the infrastructure, maintenance, networking, and all that stuff. On top of that, we will also have the patching, upgrades, and all of that. That is where we see most of the support going. However, for a bot operation, supports are not that high. It is limited. It would be around 12% of the overall team size and it would be in the build state.

We implement the solution for clients. 

I'm not sure of the exact cost related to the solution. I would not have the numbers as this is directly done by the delivery team, which is on the ground. I belong to the overall automation where the costs are billed directly to the project.

Whenever it's UiPath versus Automation Anywhere, and both numbers are looking the same, it's a little higher on the Automation Anywhere compared to UiPath.

In relative terms, Automation Anywhere is a little costlier - maybe 10% more than UiPath. However, UiPath recently increased its license cost. That happened just a few weeks before. 

We are using IQ Bots and they are gaining popularity. We have some solutions around the IQ Bots. In fact, for Automation Anywhere, mostly the clients have IQ Bots as that's around the telecom space and they've gone with the SaaS solution of Automation Anywhere.

With IQ Bot, you need to ensure that you have the right amount of database freedom. If you train with less amount of data, your accuracy goes down, and the confidence score goes down. Then, you come up with the problem of inaccurate executions. When training, it's important, to have the right amount of data and what we are extracting. I'd also advise adopting a co-bot approach for the initial attempts until you believe that it is well trained enough to make it automatic.

I'd rate the solution seven out of ten.

IQ Bot has the ability to easily capture objects. The latest version is far ahead of the competition. Most of the features are excellent, valuable, and easy to handle.

When you update to a new version, you have to migrate your applications. That should be automated because it should not affect your ability to complete the task. If the version of the application changes, then you need to automate some part of that again. 

IQ Bot is a component of the newer version of Automation 360. We started using it about a year and a half ago. It was introduced in 2020, and we started using it in September 2020.

If you need an application to do some repetitive task, then you are going to create the bot. And as for the requirement, you are creating some IQ Bots and master bot and you're handling errors altogether, so obviously it will be stable up to 98%.

IQ Bot has to be scalable because it contains a lot of data and multiple features. You need to provide some services as well, so scalability is a part of it. 

If a client has a massive amount of data that needs to be processed, it's more likely that there will be errors in the data if it's processed manually. Automating the process gives you greater accuracy. 

I rate IQ Bot support nine out of 10. You might have technical difficulties requiring some tweaking or minor issues that can be resolved in a single call.  Those are easy to handle. For example, maybe some tabs are missing, so support will go inside and check the code to find out what happened.

You are provided support for one month after deploying then there are levels of support: levels one, two, and three. You raise a ticket for a specific issue, problem, or application. Maybe it's a data issue or an application-related problem. For example, perhaps some content is missing. You send a screenshot and some information to the technician. They solve minor problems in an hour or two, but something significant might take one or two days. 

Positive

The ROI varies among clients, but a customer will only implement automation if they expect a return. There are two or three points to consider when providing a solution to the client. You need to look at how much you can reduce two categories: full-time equivalent and AST.  

You should think about the headcount that can be reduced. Let's say there are three people working for 24 hours, and one bot can complete those tasks in less time. Suppose a ticket that takes two hours to resolve manually can be handled in five minutes by bot. That ROI structure is provided to the client. The price structure and an analysis of workload management must be included. You will need to create some remote machines and divide the task into different levels among various machines. 

I rate IQ Bote nine out of 10. If a process is divided into use cases, it should be at least 95 percent accurate. My advice to prospective users depends on the requirement. You have to consider the complexity. If it's a simple task, you can do everything by hand, but if it takes 10 team members to do the task, you might consider automation.

I suggest automation for a complex use case involving complicated processes, multiple applications, and lots of data. If the client is working with semi-structured data, we can offer automation. We only recommend this if we can automate 55 percent of the processes or more. 

I love IQ Bot. I can extract any type of document. It doesn't matter if we have a background image in the document if it's a colorful document. It doesn't matter. I can extract and work with it regardless. I can train all the instances and properly adjust, inject Python code to find entities, and so on, and so forth. 

IQ Bot is a powerful technology. It's a very, very powerful technology. It's 100% integrated with Automation Anywhere Enterprise without any type of API. When you use Foundation AI and ABBYY, you need to consume APIs or you need to install an integration pack, however, when you work with IQ Bot it's very straightforward. You just consume all your instances very fast.

The problem with IQ Bot is the price. With so many options on the internet, some customers, medium-sized companies, have no budget to pay for IQ Bot, and then they just migrate the IntelligentOCR and all the machine learning to data extraction to cloud providers, such as Foundation AI or ABBYY.

In terms of Automation Anywhere, I did not try it yet, however, until the IQ Bot 11, what I can ask for Automation Anywhere to improve is just NLP and NLU, to extract body emails or an unstructured text.

I don't know if we can use IQ Bot with another RPA vendor by just integrating IQ Bot through API. I don't know if it's possible. I'm working with UiPath as well and I don't know if we can use IQ Bot with UiPath. 

We'd like just a bit more improved technology. Sometimes we send documents with less than 300 DPI. I know that Automation Anywhere just said that IQ Bot 11 and higher versions are ready to extract the documents with less than 300 DPI, however, this is not true. I never could work with documents with less than 300 DPI.

I've worked with the solution for more than 12 months. 

I've also used Foundation AI and ABBYY, however, they require the use of APIs.

The solution is largely pretty expensive, especially for smaller organizations. 

We are a partner of Automation Anywhere.

I work with Automation Anywhere. I never worked with Power Automate before. I've been working with Automation Anywhere for the last four years, since version 10. Automation Anywhere is evolving. In the beginning, it had so many bugs. Things didn't work as expected. Now, with version A360 and also with A11, I can deliver all the business expectations with Automation Anywhere Enterprise IQ Bot.

I've already deployed three environments. I also participated in two big migrations without any hitch, without any problems. They're well-documented by Automation Anywhere and the product is very reliable. I never faced a platform downtime, big downtime, with the platform doing application error. I haven't had even database issues. What I can say about Automation Anywhere is that Automation Anywhere just delivers everything I need to deploy all business processes, no matter the line of business. If you were talking about manufacturing, if you were talking about finance or insurance companies, I can deploy and automate almost all processes using Automation Anywhere.

I'd rate the solution an eight out of ten.

Because there are certain restrictions or limitations with IQ Bot we started to explore ABBYY FlexiCapture.

In terms of extracting the information, we had a lot of issues with Textract OCR, and we discovered that it wasn't very good.

With ABBYY, we were able to achieve some solid outcomes; I won't say they were significant, but they were satisfactory.

The groups that are built based on templates and patterns, it's a tremendous undertaking, and we found it a little tough in terms of maintaining those groups and, in particular, training. In terms of document training, we found it to be a little difficult.

We are looking for better results when it comes to scalability.

Machine learning capabilities would be beneficial to have.

My biggest challenge is the monthly increase in volume. Because there are so many new organizations being formed, I find it difficult to train and maintain them. There are numerous duplicate files in the system. Cleaning those is becoming a difficult task for me. Training is becoming more difficult. 

They are not able to explain why distinct groups are formed when the patterns are the same.

We have plans to scale this across other departments. I have uploaded almost 14,000 purchase orders and I have almost 600 groups, with several duplications. Cleaning it up, and training the groups is a significant challenge. This is definitely an area that requires improvement. 

Another concern is the technical support, specifically, those responsible for the tickets, are not very helpful. I have to contact them, spend hours on the phone with them without getting my issue resolved.

I have been using IQ Bot for three years. We began with Automation Anywhere version 6, and are now moving to Automation 360.

We don't have any issues with the stability of IQ Bot.

When it comes to scalability, we want to see better results. It needs improvement.

This solution is used by one department with approximately 55 people.

Technical support has been a problem for us. We must follow up after we have submitted a ticket. They are not user-friendly, and they never respond or handle issues in a timely manner.

We are now working with ABBYY FlexiCapture, but primarily with IQ Bot.

The initial setup was satisfactory. I won't say it was very complicated, but it was satisfactory.

We are working with a team of three people who maintain this solution.

They are also responsible to maintain other task bots running in the background. 

The price could be lower.

Our contract is for a year, and our fees are paid annually.

We are evaluating solutions and comparing them with the OCR solutions.

We are looking for Accounts Payable Solutions.

We mainly wanted to look into ABBYY FlexiCapture to see what it can do, how good it is at training, and how user-friendly it is.

I would rate IQ Bot a six out of ten.