IQ Bot Reviews

We have invoice data in the form of an image. With a normal task bot, we cannot extract the data from that. So, we are using IQ Bot to extract information or invoice data.

I have worked on version 11.3.6, but Automation Anywhere has released Automation 360. I have been working on that for the last three to four months, and it has many good features as compared to version 11.

The best feature is that we can extract data from an image. That's why Automation Anywhere implemented IQ Bot. Otherwise, you cannot extract data from an image. Nowadays, every industry is scanning invoices and uploading them to some website or storing them on some shared drive. IQ Bot can do data extraction from the PDF format and the JPG format.

The percentage of accuracy is very low. When I put documents in IQ Bot and the document format gets changed, IQ Bot puts that in the validation queue. If you are uploading 100 documents, the IQ Bot accepts only 60 documents. 40% or 30% of documents go to the validation queue. Accuracy is way low. They need to improve their accuracy level. It should be at least 90%.

Another major limitation is with the handwritten applications. If I write a new application with a pen and scan it and store it, IQ Bot cannot access that information. It doesn't accept handwritten applications. It should accept the handwritten application.

Sometimes, the quality is not good, but it also depends on the quality of the document. If the quality is less than 600 DPI or 300 DPI, IQ Bot will not process the document.

I have been using this solution for more than a year. I'm working as a technical architect. Sometimes, I use it myself, and sometimes, I provide solutions to developers.

It is not that stable when the documents have different formats. When the format changes, the document goes to the validation queue.

It is scalable, and we can put 100 documents or 1,000 documents, but the percentage of accuracy should be more.

In terms of its users, currently, six to seven developers are involved in the invoicing process. It is being used daily. When IQ Bot is not able to handle the data, the document goes to the validation queue. They open the documents that come to the validation queue and retrain the particular document. For that purpose, support people are needed.

They're responsible, and they provide very good support. They are supporting us very well. They are knowledgeable.

It also depends upon what kind of support contract you have with them. Sometimes, there are restrictions on the number of tickets. You cannot create more than 10 tickets. If you create more than 10 tickets, they can charge you or something like that. It depends on the support contract. In my organization, the support contract is good.

I would rate their support a four out of five.

Positive

I never used any other product, but to my knowledge, people are moving to Python script. They are using Python script and going for the AI/ML level. Through Python script, accuracy is more as compared to IQ Bot. If you're using the Python script library, at the code level, the accuracy is more. The code control is in your hands. You control the code and you can modify it, but with a product, the control is not in your hand. 

I am not aware of its setup. Its setup is done by the infrastructure people. They set up the IQ Bot server because IQ Bot needs a server. 

I would rate it a seven out of ten.

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.

We use IQ Bot to extract and consolidate the information. 

Extracting information from 500,000 invoices manually is difficult. IQ Bot automates the task and helps us summarize the data and provide it to the auditors. 

IQ Bot is very easy to use. 

The product is expensive. 

I have been using the tool for a month. 

I rate the tool's stability an eight out of ten. 

I rate the solution's scalability an eight out of ten. 

We are yet to use technical support. 

We have a team to install the tool. 

We have seen ROI with the tool's use. 

I rate the solution a nine out of ten. 

The primary use cases for the solution are vendor invoice processing and data extraction from SCM documents. It is also used for data extraction from health insurance documents, claims, and other general automation-related use cases.

I am satisfied with the product. The product has prebuilt models. If I upload a file, it automatically identifies the invoice number and other fields I require. I do not have to train the solution.

If a customer requires some fields that are not part of their model, I have to fetch them for the customer. If I use the product by uploading an invoice, the product gives me 18 out of the 20 fields the customer requires. It is the biggest benefit for me. 

The product is easy to use and easy to deploy. It is a low-code and no-code platform. Even non-technical persons can do the validations of the document.

It's a very heavy product. The solution requires 32GB RAM.

I have been using the solution for the last four years.

The product is stable. There is no issue with it. People are using it at a high level.

The solution is scalable.

The solution’s hardware cost is high. However, the licensing is good. Small companies do not have enough budget to use the product. The product costs 50 cents per page. 

Enterprise customers do not have an issue with the cost. They have to pay for Starter Pack additionally. They have to purchase developer licenses, control rooms and attended and unattended bots separately.

Automation Anywhere introduces products on time. The organization is increasing its products and has taken over some companies. When we migrate, we have to do many things to upgrade the product.

The product is suitable for large enterprises. SMEs spend $10,000 for SAP. If we suggest they buy RPA at $25,000, they will tell us they had invested less in SAP. Automation is majorly developed for large enterprises. Small companies prefer attended bots that cost $1000. We have to trigger it manually.

IQ Bot is a good product. From time to time, the product is updated, and new things are available in it. The solution is suitable for general use cases. I would not recommend the tool for handwritten documents. I recommend the tool for scanned and digital documents.

Overall, I rate the solution an eight out of ten.

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.

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.

Neutral

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.

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.

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.