IQ Bot Reviews

The Optical Character Recognition (OCR) capability is one feature I would like to highlight. Whenever we want to create something from the previous documents or images, the OCR feature enables us to do that job easily.

Migrating from the previous version to the current version is a little tricky. We could not find proper documentation or guidelines to help us migrate the bots from the previous version, version 11.3, to the newer version A2019. 

As this kind of documentation is lacking, whoever wants to migrate from the previous version to the newer version will face some difficulties. That's one thing they can improve on as it'll be helpful for the users.

I have been using IQ Bot for almost one year.

IQ Bot is a stable solution. We didn't face any difficulty in terms of implementation or in terms of running the bot. 

IQ Bot is scalable. As we're running it on a cloud, we can achieve whatever volume we want in a matter of minutes.

IQ Bot was quite easy to set up because we had some knowledge using the previous version. The maximum time it'll take for the initial setup is about four hours.

We are the preferred implementation partner for Automation Anywhere. We have a good dedicated account manager. Whenever there are problems, it's solved within one to three days.

There are others like Automation Anywhere offering similar kinds of bots for less. Most of the platforms are the same, and most of the features are the same, but not the licensing cost. That is an area they can rethink and reduce the licensing cost to help most users.

If there were a couple more free features on the platform, it would help users understand it by implementing them before paying for a commercial one.

Because of the higher licensing cost and lack of proper documentation, I would give IQ Bot a seven on a scale from one to ten.

We are currently using this solution, and are interested in providing services to our clients in the future.

We are using IQ Bot for the internal finance department. We are dealing with invoices from many different vendors.

The ease that it provides in extracting vendor invoices, without having to configure them, was the reason for which we had gone with a solution.

Feature-wise it's good.

We are working with IQ Bot, but we are not impressed with it. It works well with static documents but not otherwise.

It was challenging to have to do the pre-processing and tax inputting on our own. They didn't have a feature through IQ Bot.

The way you implement the pre-processing needs improvement. In many cases, the invoices that are received have the fax cover page, and with terms and conditions page. We have to input all of the pre-processing. It would be better to have it as a part of this solution, otherwise, every single invoice would be treated as a new document, even if it comes with terms and conditions and a cover page.

They still have a long way to go when dealing with a structured and unstructured environment.

Features are good, but when dealing with pre-existing models such as purchase orders, and invoice,s for example, the capabilities of the solution need improvement. 

I have been working with IQ Bot for approximately one year.

We have not had any issues with stability.

It's a scalable solution. The biggest challenge that we faced was with the configuration.

It's for an internal finance team and we don't have more than five users at this time. 

We have contacted technical support many times. They are very helpful and very responsive in resolving any issues.

The initial setup was straightforward.

We had help from Automation Anywhere which made the implementation easy.

There are cheaper solutions on the market, but it involves more negotiating. 

Typically, everyone starts at a higher price and negotiate to a lower price to compare with other vendors.

The pricing is complicated but I wouldn't say that they are expensive.

If it has to do with a straightforward structured form, this solution works very well. If you are looking at an unstructured environment with a lot of variety there is some instability in terms of ease of use. It may be better with the 2019 version, but it is something that should be considered before they decide to implement this product.

I would rate IQ Bot a seven out of ten.

We used IQ BOT for document processing. It was semi unstructured data from the farms and some of the reports that were coming in. We were scanning them and then reading out the details and format and incorporating that in another application.

A very important feature is the efficiency with which it was able to categorize the different data types and the format. Also, the OCR was good. The efficiency of the optical connector reader or OCR was good enough for our usage. 

It's not necessarily the IQ bot but the Automation Anywhere as a whole, I find it slightly complicated to use as compared to a product like Uibot. I would say it's not intuitive from a user standpoint. This leads to a specific specialist to be part of the team to work on it. Because otherwise business processes are best understood by the business people and the IT applications are better understood by the IT people. But when it comes to these kinds of automation, it is the business people that should be able to do it on their own. For that, it has to be intuitive. So that is one key concern that I found. It's not that intuitive for a person to work on it. The learning curve is quite high. However, adding the layers of UI would not mean add in a lot of layers of abstraction because that also adds a problem. The flexibility drops. The machine learning techniques like we have for these bots are slightly limited as of now. Maybe they're already extending it or maybe in the latest version that I have not used will provide extensive machine learning algorithms that can be integrated with the bot. But that was my only space which I see that could be better. Very soon features would be more, on a large number or more machine learning algorithms and specifically there is what we are researching right now, ourselves, with is machine learning. But, there is a subset of it which is self-learning. Self-learning is going to be a key aspect because as we start automating the processes, the processes also evolve and sometimes we need to read deep parts instead of that, there should be the capability of self-learning algorithms available. However, it's easier said than done and I can understand it's very difficult. But that is the key piece which I would like to see do better right now.

We have used IQ BOT for a few months.

In the end, I believe IQ BOT is a very stable product.

I think IQ BOT is scalable.  If I had to rate it, then I would put the rate of 4.5 stars out of five. So it was good enough.

The technical support is good. It is very good, in fact. They're quite reactive. They were able to help us out. So I have no complaints. I have nothing negative to say about them.

When I joined this part of the team, they were already using Automation Anywhere. In our previous teams, we were using UI BOT and in fact, in the team that I was working with a few months ago was also using UI bot.

I was not involved in the initial setup, so I cannot tell you about that. But in my experience, it was not complicated. It was easy. I know the setup but I was not involved in this particular setup here.

I would say that IQ BOT Automation Anywhere was one of the leaders in the industry. Still is, and I think we initially invested a lot on Automation Anywhere and that's why we continued using it. However, it doesn't mean that Automation Anywhere doesn't have the caliber yet. It has a very strong capability set. And that was perhaps the reason why we went for Automation Anywhere. I would recommend it. It has been a good pleasure using the product. I would rate it eight on. a scale of ten. The reason is the intuitiveness and the second one is the range of machine learning algorithms that, when I was using it, was not there.

We use IQ Bot to extract information from our PDFs as well as for differentiating between them. I'm an RPA developer and we are customers of IQ Bot.

We're dealing with millions of invoice statements and IQ Bot can be super helpful in identifying those invoices and classifying them. It saves us a lot of time and money.

The ability to differentiate between documents is a valuable feature.

Lacks sufficient flexibility in identifying a wider variety of documents such as those that have different dimensions and quality. It would be helpful if even low-quality documents could be identified. They also need to work on the deployment of backups.

I've been using this solution for around eight months. 

The automation team takes a while to work on any tickets and respond. 

The initial setup is moderate in terms of complexity.

It's an expensive solution but we get good results and the benefits outweigh the cost. 

I expect we'll increase usage because it's a super useful tool for our business team and it has a lot of use cases. I rate this product eight out of 10. 

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.

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.

I use it for invoice documentation.

IQ Bot is a useful and easy-to-use tool. It is powerful in making a running instance. Moreover, its ability to work with Automation Anywhere is also useful and makes it easy to use.

IQ Bot uses an API OCR engine. At times, they can't accommodate some text in Korean. Also, Korean characters are not cognitive at times.

I am a partner with Automation Anywhere, and I use IQ Bot. I have been working with the solution for two years now.

It is a stable solution. For stability, I rate this solution a nine out of ten.

Owing to our security issue, I must use an on-premises solution. If I need to scale, I add more machines to the on-premise solution. Also, five people use this solution at my workplace. For scalability, I rate this solution a nine out of ten.

I do have experience with the tech support from Automation Anywhere. I rate the tech support somewhere between eight to nine out of ten.

Positive

The setup is very simple.

Solutions from Automation Anywhere are expensive. I rate it a seven out of ten on a scale of one to ten, where one is the higher price, and ten is the lower price.

I compared IQ Bot with ABBYY. I feel that IQ Bot has enhanced UX, UI, and web-based tools.

Overall, I rate this solution a nine out of ten.

The IQ Bot use cases were mostly, in the realm of intelligent document automation, extracting data from documents.

The solution can be deployed on-premise or in the cloud.

One of our main uses for IQ Bot is in the processing of invoices. We have a customer that receives invoices from their suppliers and needs to validate that they are valid invoices. In order to do this, they check for the purchase order reference on the invoice. If the invoice matches a pending purchase order, the customer then checks for several other factors, such as if the cost center is valid, if the amounts match the quote, if the individual prices match what was agreed, and if the location of delivery is correct. If all of these factors match, the invoice is accepted. If not, the invoice is denied and a reason is provided. With IQ Bot, we are able to automatically read the invoice, understand all of these variables, and make decisions based on them. Without IQ Bot, we would not be able to identify the key information needed to make these decisions.

Training the model is very simple with IQ Bot's technology. It requires providing several examples of the type of document you want to evaluate. IQ Bot already has a built-in taxonomy, which is like a dictionary of elements commonly found in certain types of documents. For example, when evaluating an invoice, you will find elements, such as "total," "item descriptions," and "shipped to." This pre-existing taxonomy greatly speeds up the training process as it provides a starting point and structure, rather than starting from scratch.

The solution could improve by having more domain-specific templates, such as for documents other than invoices or contracts. For example, having templates for IDs or Passports.

I have used IQ Bot within the last 12 months.

The solution has not failed us before.

I rate the stability of IQ Bot a ten out of ten.

We have approximately 20 users using this solution. We expect our customers to use this solution more in the future. As the solution delivers value, the customer will look for more areas to automate.

The solution is robust.

I rate the scalability of IQ Bot a ten out of ten.

I have used the support and once you have the right channels, they are very straightforward.

The initial setup of IQ Bot is straightforward.

The number of people required for the deployment will depend on the scope of the project. For instance, the invoice project used to require six people to review the volume of invoices customers had, but now only two individuals are needed for reviewing and retraining. The remaining staff has been reallocated to other tasks within the department. However, the number of people required will depend on the scale of implementation. Typically, our team consists of three individuals, a consultant who works with the solution hands-on, an architect, and a developer.

We implement this solution for our partners and customers.

Our customers have received a return on investment. It is the easiest return on investment to provide to a customer.

The benefit of using IQ Bot for document-based tasks is that it's easy to measure cost savings. By evaluating the number of documents processed and the time it takes, it's simple to assign a dollar value to each document. This is very attractive as it allows for the automation of tasks that were previously too complex or time-consuming. For example, in the invoice process we worked on with a customer, they needed to validate certain information in the packing list, such as the weight and units of the items being shipped. Before, they were not doing this extra validation because it was too complex and they assumed the importer would get it right. However, with IQ Bot, they were able to automate this validation and save time and money by being proactive instead of reactive. The technology makes it easy to provide a clear ROI.

The price of IQ Bot could improve by being less expensive.

As a provider, my perspective may be biased. However, the pricing is reflective of the complexity and capabilities of the technology. The more complex the extraction needs, the more sense it makes to invest in IQ Bot. The platform, which is integrated with Automation Anywhere, offers added value that sets it apart from other solutions. For companies that need to address both simple and complex situations, the pricing may be reasonable. However, for those only looking for a narrow solution, it may seem expensive. This is usually reflected in our customer base.

My advice to others is for them to test out the solution. Subscribe and practice using it, you'll be amazed at the things you're able to do by yourself.

IQ Bot was the first to tackle the problem of data extraction on documents, and it set the standard for others to follow. While other solutions have since emerged and improved in certain areas, IQ Bot remains the leader in the market. For us, it's a comprehensive and complete solution that has everything we need.

I rate IQ Bot a ten out of ten.