IQ Bot Reviews

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.

Our clients use it to extract details from purchase orders, like purchase order dates, purchase order numbers, and other details. It will extract it from that particular purchase order for a particular customer, and then it will feed it back to our ERP system.

I personally feel that the "See extraction" feature is valuable. After training it for a particular document, we can see the extractions there. Other than that, it has other features like Python scripting in-built, and these are the features that I feel stand out.

It would be better if they had some in-built formats for nonstandard requirements. Currently, the invoice has a thing, purchase orders has a thing, and other details of employment and onboarding are all easy. But if I have to put something out of the box, let's say if I want to read a rental agreement or if I want to read a property agreement, there isn't an option for that. 

Initially, there was one issue when we were trying to switch from a development environment to a production environment. We needed to transpose or expose a bot to the production environment. There we had some issues where the in-built input feature stopped working for extended periods. It was an API to kind of input the versions from development to the production environment. But I think it has been fixed in the upcoming one.

I think Automation Anywhere has a partnership with Google. I hope they integrate Google's OCR engine in some way with IQ Bot because the OCR engine that Google produces provides an in-built accuracy of close to 99%. That is the integration we are looking for, but we need to pay for IQ Bot. If they can integrate both and come up with better pricing, then it will be a huge boost because, in that case, the quality of an image or PDF quality is taken completely out of difficulty as Google tends to extract the data. That is something I am looking for if this happens.

I have used IQ Bot within the last 12 months.

IQ Bot is definitely a reliable solution. But it has a dependency on the quality of the files that are uploaded. Better OCR is available in the form of Microsoft and Google. But if you are looking at the entire product, I think that's a spectrum, and I think it is quite stable.

It is scalable provided it already has the OCR engines inbuilt. Other than that, we want to add Google or Azure, or Microsoft. Ideally, if Google or Azure OCR is in-built, we could just integrate it in the premium versions of Google and Azure OCR. It does allow us to integrate with others things. We are a service provider company, and our entire team is about ten people. I have been using the IQ Bot for one customer.

Technical support is definitely responsive. They have the tech support flexibility to categorize it by being the least important to completely fatal for production emergencies. From that perspective, we do get responses, and it varies from one hour to two hours.

The initial setup is pretty much straightforward. The only complexity that I had was to add some security certification. The tools were set up in a separate drive, and that is where the complexity comes in. But it is something that can be handled completely. 

It is based on the stages and on a yearly basis.

I would advise potential users to go for IQ Bot if they have a standard format for a particular PDF. Even if there are multiple types that are configurable and if the quality of the images is good, this is definitely much better than others. It does a commendable job.

On a scale from one to ten, I would give IQ Bot an eight.

I am currently testing IQ Bot, and we are evaluating it from technical and business perspectives. We haven't yet put anything in production. We are looking into business cases, and we are also checking it out from the IT perspective in terms of how it works, what we can do with it, and so on. We are also working with the RPA part of Automation Anywhere.

We are using one version prior to the latest one. They seem to have released a newer version, and we will upgrade soon. It is deployed in our AWS environment. It is more or less on-premise, but it is still in the AWS space.

We have been using it only for two months, and so far, it is working fine. It is easy to use.

It should be easier to install and configure. We had some issues during the initial setup, and we are resolving them with the help of their support. Its initial setup is complex. 

Their web pages are not really structured. Because they have multiple products that are more or less similar, it is sometimes hard to understand which documentation you're actually reading and using. Their documentation and web pages should be structured in a better way.

In terms of new features, it is a little too early to provide inputs. I need more real business cases to see what is lacking. We haven't yet got those. We are currently testing it from a technical point of view.

I have been using this solution for the last two months.

It is working fine so far.

We haven't really scaled it up to see what will happen if we run a lot of documents. We haven't yet tested it for that.

For the RPA part, we have a lot of bots running in production, but we haven't really started using IQ Bot. Currently, two or three people from the IT side are testing this. We plan to increase its usage. I am working on the IT side, and there are a lot of business cases inside our organization that could benefit from this type of solution. We are trying to talk to different business units to see what type of business we can test out first.

Their technical support is fine so far. They have been able to answer my questions in a fairly good time.

We were not utilizing these types of tools in the past. We had more or less outsourced the complete processing and handling of documents, invoicing, and so on. 

It wasn't really straightforward. We had some issues, and I had to open some support cases with Automation Anywhere. I am using their support to solve these issues, and we still have a few issues to solve. 

Its setup is complex, and there is a lack of structured documentation. There should be an easier way to install and configure it.

I would rate IQ Bot an eight out of ten.

We have automated several processes for several customers. We have used this tool to automate processes for a bank. We have also set it up for another customer to download purchase orders and put information in a database to consolidate the information they have in the SAP system.

After automating a process, we prepare a report that shows how much money automation has saved. IQ Bot has reduced costs, and there are fewer mistakes because humans make mistakes. 

These bots also work 24/7, which is also a big benefit. Earlier, if a task took a week, with IQ Bot, we can do the same task in 30 minutes or so depending on the amount of information.

It is very easy to set up and use this tool to get information from documents. It can get the information about the purchase order number, average, description of purchase orders in several formats without any problem.

It should have more artificial intelligence to capture information from a document. Currently, our clients are preparing invoices manually. They are not digital, so we need to scan all the documents, but we are facing issues in capturing all the information through IQ Bot. Therefore, we have to use other tools to capture the information, and then we use IQ Bot to process all the information. They need to improve the artificial intelligence for document scanning.

I have been using this solution for around one year.

It is stable. We had no issues with its stability.

It is scalable. We have implemented it in a medium company as well as in a large company without any problem. It only depends on the server on which you run the bot.

Their technical support is fine. We don't have any problem with the support of Automation Anywhere.

Its initial setup is easy. It takes one week to create the processes and then develop, test, and put them in production.

We have a team of four people for supporting a big customer with this solution. They monitor the processes and check if there is any problem. We support all the bots that we develop.

Our customers evaluate UiPath and Power Automate.

I would recommend this solution because it is very easy to implement, and there are no problems. Automation Anywhere's support is also available at any moment.

I would rate IQ Bot a seven out of ten.

I have worked on two processes. One process was pretty simple, and another one was a complex process.

I like most of the algorithms that it has, such as classified algorithms. I also like the OCR engines that it provides. We get a lot of options to explore and deal with. IQ Bot has added a lot of value in terms of extracting the information. Some OCR engines have limitations in terms of extracting the information.

They have recently added a new feature that allows us to add Python scripting. Earlier, we had to do the post-processing work in terms of formatting and updating the proper values, but now, we have the option to write a Python script, which is really helpful for us in terms of getting the output. We can manage everything using Python.

There are certain things that OCR engines are not capable of handling currently. For example, OCR engines pick up a slash as a question mark. They also don't have the capability to handle subcolumns in a column. It would be really helpful if they can add more OCR engines with advanced capabilities to handle such scenarios. We need more cognitive abilities in the OCR engines to deal with the most complex scenarios. 

We also need more advanced capabilities so that IQ Bot can give better results in terms of PDF quality. This is because we cannot expect the same quality from all the vendors and customers, and there might be scenarios where we get some sort of scanned copies.

I have been using this solution for one year.

It depends on the quality of the PDF that you are dealing with. If you give a good quality document, then definitely, you will get a good output. Otherwise, you won't get a good output. We are dealing with a machine, so the input has to be proper.

It is definitely scalable. It is very good in terms of scalability. For example, I have my own invoice structure in a company, and I am currently using IQ Bot to extract some information for one customer. In the future, I will have more customers, and I would be able to easily scale it because it deals with the invoice format and structure and not with a specific account or customer.  

I have experience with their technical support. There was a time when we had issues with understanding a functionality, and their technical support helped us a lot.

It is pretty easy. It is not complex. We just need to add an executable file for IQ Bot, and all other things, such as users and licensing, can be managed from the console itself. It is self-explanatory. It is similar to any software installation. You don't need any specific knowledge for this.

I would definitely recommend this solution. It has advanced a lot over time. They had a lot of versions, which had a lot of improvements. As compared to other RPA tools that are dealing with PDF or scanned documents, IQ Bot is definitely the best solution.

I would rate IQ Bot an eight out of ten.

We go into companies and help them automate their processes — that's really what we do. If somebody wants to automate their processes, we have a couple of partnerships.

Usually what happens is, when our clients are scraping off the web, one client takes a report off the web, and then they publish it to their people. In the past, somebody would sit in front of the screen and they would type it in manually. Now, instead of doing that, a bot goes up, scrapes it up, and puts it into a file which they can then distribute.

We'll take that stuff and then generate a file — that's what we do. There's the data that has to be brought in from two files, or is brought in from the web. They would combine that data to create the file.

Our clients have more free time to work on other things thanks to this solution. Instead of having to copy everything from a web screen into a file, now it's done for you. You are free to work on something else.

Try to get every person working with a bot. That way, as soon as they get some manual work, they can cut over and give it to the bot to do. When the bot is done, it comes back to the person — that's the ideal state.

IQ Bot is easy to use compared to some of the other solutions out there.

They're always trying to make it easier. The whole automation industry is moving into what they call "intelligent automation", where they have started to bring AI into it also. That way, based on decisions, automation will happen.

I have been using IQ Bot for two years.

What we're seeing is that our clients had some problems initially, but now things are becoming much more stable. The competition has become much more fierce, and the industry is starting to mature a little also, so we're starting to see some improvements.

At first, our clients used to be really worried about scalability, but now they're able to scale quite nicely. If you really want to scale, then you want it to look at the cloud. With the cloud, there are unlimited resources.

The company has good support. When they're called on, they definitely help. 

It's pretty straightforward. I think the problem is usually tuning it up, and trying to get the best performance — that takes some time.

Deployment and making the best use of the software. Some companies don't properly train their staff so they take the wrong approach.

We usually try to get the company to build what we call a COE (center of excellence), where they have a group of people that have done these projects before, and they can help each of the groups in the company do it. As a result, they start to put standards in place on what the best practices are.

Then they pass it down to the rest of the people in the company. That's the way we try to get the company to move forward.

If you just try to wing it, you'll become sprawled; everybody's trying to do their own thing, without any standards. Then, when you want to upgrade or you want to make a change, issues will arise.

With the Cloud, the price goes up and down. You only pay for what you use. If it goes up, you pay for it, and then if it goes down, you don't pay for it. It really depends on what you use.

The cost can be a problem. You have to have a good strategy, and you also have to monitor what you use. If you're not planning properly and you're not taking advantage of the bots and the resources you need, there might be some issues.

My advice is to start with a good partner that can help build your expertise. Either bring in some people or collaborate with a partner.

Overall, on a scale from one to ten, I would give this solution a rating of eight. There's always room for improvement, and this industry is growing and changing. Still, IQ Bot is a leader.

My team uses IQ Bot primarily for unstructured data. Some of the use cases are related to capturing imagine-related data.

Our mainframe-based and web-based projects are working well, with no issues.

In one of the applications we were working on, we found challenges. Automation Anywhere enterprise 11 has troubles interacting with a Pega product that we are using. Consequently, there were projects that we were not able to complete.

One of the challenges that we faced was that the Automation Anywhere log files were being created and not cleaned up, which would eventually kill the bot. We began a practice where we cleaned out the log files on a daily basis, which improved the bot.

Automation Anywhere does not have support for all legacy systems. In the insurance industry, they mostly work with legacy systems and will not move to future technologies very soon because of the security measures, cost constraints, and other reasons. In these cases, we do not see improvements in terms of efficiency.

For all of the projects that we have worked on so far, it is stable apart from slight challenges.

There are only a few people in the company who use IQ Bot.

Technical support is good, although there were not able to solve the problem that we had with the Pega application. Whenever there is an issue brought to them, they will call, discuss the details, and make suggestions for resolution.

We have only used Automation Anywhere product systems, as the choices are entirely client-driven.

The deployment was easy for us but the control room is taken care of by the client. We need to approach them when we need to make changes. For example, they will move the code from client to server. We don't do that, as we have very limited access to the control room.

I feel that the price of IQ Bot could be lower. The licensing fees are paid on an annual basis.

Overall, this is a good product and most of the features we require are included. Our only challenge was with the Pega application, and Automation Anywhere should interact better with it. More generally, it should interact better with hybrid applications.

I would rate this solution an eight out of ten.

This solution is primarily used for financial use cases like invoice processing and inventory reconciliation processes. Those are the classic use cases when we talk about IQ Bot. It deals with multiple types of invoices that have different structures, different data, and sometimes different images. This product has already been templatized and fits directly into any type of invoice coming in. If you have a new type of invoice then you have to train the tool to identify those new objects. We are partners with IQ Bot and also consultants. We assist our customers with implementing this tool. I'm an RPA director. 

What I've seen with our clients in the last couple of years, especially with the STP, is that the solution is quite good when you train really well. It identifies the printed version, but nowadays it also identifies handwritten documents to some extent. The STP ranges between 50% to 60% success, especially on handwritten invoices, but we have also seen an increase in accuracy - somewhere between 60% to 80% - for printed invoices. Improved accuracy has been a benefit for us. 

I think the product identifies really well and training is quite simple. Because of the templatization it directly slots in the company name, and other basics that are all pre-defined. Training time is minimal as a result. 

I think improvement could be made where handwritten documents are concerned. If you have a printed invoice, it's easily identifiable, but if someone is writing the same thing in their own handwriting, then identifying it is much more difficult and less accurate. I'd also like to see more support available for our customers. 

I've been using this solution for two years. 

It's stable but does require know-how. When you want to deploy these bots into production, the control room admin has to know what he or she is doing. The integration between IQ Bot and RPA is quite easy. This is where there can be a few challenges. If the person is not well trained, especially in the control room side, they might have some issues. But if they are well trained, it's stable. 

Scalability is quite good. I've never had an issue, it basically runs through how many bots you process so it keeps running one by one, because it has to read one at a time and it keeps running. If there's a memory issue or if the bots have not been written well, then probably the bots could fail. If you follow the Automation Anywhere best practices for development, then I don't think there are any issues. It requires a coding checklist from Automation Anywhere to make sure that it follows the standards.

Because we are a partner we don't normally get into technical support. We receive help from Automation Anywhere directly. 

The initial setup is quite easy. Most of the time, we do a small POC then pick up one or two small devices, showcase them for those training in it and then create a bot using RPA. IQ Bot is only for intelligent document processing. It's only for the extraction, but the next step is to process that information which has been extracted by this IQ Bot. We use RPA to create the bots, extract the data and run through invoice processing, opening any SAP or Oracle application. It extracts the data from invoices, puts it into a CSE, Excel file, reads through the Excel file, then opens an application, and runs it through.

If you're buying this IDP tool, then you need to make sure you're going to get a substantial ROI. More importantly, the organization needs to have a vision as well as the ability to identify the right use cases for using IQ Bot. I've seen a few cases where organizations did not understand how this tool can be used and therefore did not achieve an ROI. 

From what I have seen in the industry, most organizations need intelligent document processing, because if you are using RPA, you have a financial department where you're doing invoicing or procurement, you're running purchase orders, or you have inventory, which requires inventory reconciliation. Every organization deals with documents, and the digitization of documents will increase the scale and scope of your process automation somewhere between 20% to 40%. You can also easily increase your ROI. This is the main task which requires a large manual effort with a lot of human error. You can reduce all those errors and your expenses. This tool automates it all and things are processed more accurately and quickly. On top of that, it works 24/7. 

You do have to know how to use this tool, how to train the templates, to create that efficiency. It's part of the challenge. The main point is when you do a POC, you need to measure the cost of the software licenses, implementation, training, deployment versus your ROI. You have to make sure that if you're buying this IDP tool, then you are trying to get at least a substantial ROI. More importantly, the organization needs to have a vision as well as identifying the right use cases for IQ Bot. I have seen a few cases where organizations did not understand how this tool can be used and they didn't achieve the ROI.

I would rate this solution an eight out of 10.