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.

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.

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. 

We use IQ Bot to read complex PDF documents and invoices. 

The most valuable feature is the ease of use and the new feature that makes it possible to integrate the platform with Google. We also like having the ability to use Python for validation.

This solution could be improved by making it possible to add handwriting and signatures. 

This is a stable solution. 

Yes, this is a very scalable solution. 

The initial setup for IQ Bot is very easy. The deployment and maintenance of the solution is simple and only requires one person. 

Gustavo:

We don't measure that.

If you make use of only a few bots, this solution is very cheap.

I would advise others to test as many examples or cases as possible that are applicable to their business. They should pay attention to the quality of the images they use in order to get accurate grading from the IVP or from IQ Bot.

I would rate this solution an eight out of ten. 

IQ Bot is a good extraction tool. The most valuable feature of IQ Bot is that any user can customize it on their own, and they don't need to get in touch with Automation Anywhere.

The solution's predictive model can be improved in terms of accuracy. It takes a lot of training to get it right. It is hard to customize IQ Bot because each client has different types of documents and requirements. It takes time to get accuracy, particularly when working in a country like India, where many documents are scanned.

I have been using IQ Bot for ten years.

IQ Bot's technical support team takes a couple of weeks to respond.

Positive

I usually recommend Aiwozo DocuBot instead of IQ Bot.

The pre-configured AI models are better. It takes as little as five minutes for companies to set up Aiwozo DocuBot and start working. Since Intel provides the servers, the response rate is pretty fast. The overall structure of Aiwozo DocuBot is such that you can have an entire workflow management inside it.

Various consultants can assign hundreds of team members different invoices to process. The manager will be able to approve data and review those details in a single platform so that it can be scaled very quickly.

IQ Bot is suited for both bigger and smaller companies because it is flexible on the pricing front. People from some smaller companies are also able to start with document extraction. Since the pre-trained models don't take much time for configuration and training, it reduces the cost.

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

Our clients use the solution to automate back-office processes such as credit requirements. They also may use it to review contracts and to process invoices.

The way that the learning combines with the OCR is the solution's most valuable aspect.

If they could improve the usability to train the models that process the farms, that would be helpful for our clients.

It would be helpful if the solution was better at reading handwriting. It needs better handwriting recognition.

I've been using the solution for one year.

The solution is very stable. It works very well. We haven't had issues with bugs or glitches. It doesn't crash. It's reliable.

We've never had issues with scalability. It's been quite good. If a company needs to expand it it should be able to do so without too many issues.

Typically we sell the solution to large and medium-sized organizations.

The technical support has been pretty good. We'd rate it nine out of ten. If they were a bit faster in their response, I'd give them perfect marks. However, that said, we're pretty satisfied with the level of service we're given.

The initial setup is straightforward. It's not complex at all,

The installation is very quick due to the fact that it is a cloud solution. It takes one day to get ready. However, to finalize everything takes on average ten days.

We're resellers. We offer this solution to many of our clients.

I would advise that new users try to get all kinds of forms from the beginning of the deployment. It will make things easier down the road.

I'd rate the solution nine out of ten. We've been pretty happy with the solution overall.

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.