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.
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.
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.
I mainly use IQ Bot to extract data from invoices.
IQ Bot's most valuable feature is data migration, including Word format and legacy document templates.
We're not so happy with the cloud version, which is more complex than the on-prem, so it's more difficult to utilize. IQ Bot's consistency with parameters and its OCR engine could also be improved.
I've been using IQ Bot for over two years.
IQ Bot is stable.
There is an option to scale, but we haven't made much use of it yet.
We don't get any kind of technical support or training for IQ Bot. There's a total lack of communication from them.
Negative
I've also used UiPath, which I prefer because their technical support is fast and responsive.
The initial setup was straightforward and took no more than two days. I would rate the setup process four or five out of five.
I would give IQ Bot a rating of four out of ten.
IQ Bot is typically an artificial intelligence (AI) tool that looks at unstructured data to make some sense of it. Basically, you use it in accounting, accounts payable, and accounts receivable where you want to read unstructured data and turn it into something with which you can do something.
We are using its latest version.
The single platform capabilities are most valuable. I don't need to go to another third-party such as Blue Prism or UiPath. They have all these other bolt-on solutions. It is a part of the Automation Anywhere platform. It is all integrated.
There should be built-in or native intelligent processing capabilities.
I have been working with this solution for about two years.
It is extremely stable. It is used by Fortune 100 companies, and we're very happy with the results.
It was straightforward. We have services that we leveraged, and it was pretty easy. Its implementation took two weeks.
We have integrators who help us implement it.
It does everything that we need it to do. It is a great product. It is very underrated. More companies should leverage this platform.
I would rate it a 10 out of 10.
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.
We used it with a construction company that was doing manual time sheet entries that had to be given to HR by the end of the day. They would then translate the time sheet data into digital data to process payroll, attendance, and so on. So, we were tasked to get that particular time sheet and then use the IQ Bot solution to automate extraction of data and further processes.
The ability to train itself is a good, valuable feature. It is one of the most stable RPA products at present.
Installation is easy for IQ Bot, and they provide good technical support.
I'm also happy with the pricing.
IQ Bot needs to scale up further because many other industry products that are capable of capturing handwritten information are doing much better. So, it would be better if IQ Bot spent more time on handwritten data extraction.
Some of the features that are currently existing could certainly be enhanced. The ability to define the coordinates on the screen, on the documents that are being scanned, was a little less when we did the proof of concept. These kinds of features could be enhanced a little more. It looks a little rigid at this point in time, but it could be improved.
I've been using it during the last 12 months.
This is the most stable RPA product at the moment.
Automation Anywhere's technical support has been very good.
Implementation of IQ Bot was easy.
The licensing is on a yearly basis, and I am happy with the pricing.
Compared to UiPath or Blue Prism, IQ Bot is the most stable RPA product at the moment. Automation Anywhere has come a long way.
If someone is straight away looking at IQ Bot as a potential solution, I would suggest that they do a proof of concept and see their ability to scale their particular process. Each and every process, business process, they bring will be different. So, it's good to start with the proof of concept and then scale according to the need.
On a scale from one to ten, I would rate IQ Bot at seven.
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.
IQ Bot has the capability to identify changes, for example, in an invoice set up in a particular format, and remap its settings to reflect the changes. Also, it has the ability to learn by itself.
I like that it has all the AI capabilities. For example, if we have an invoice in a particular format, but then on the next day the format, for instance, the location of the invoice number, has changed, IQ Bot has the capability to identify those changes and remap its settings accordingly. It also has the ability to learn.
API configurations through control room could be improved a bit.
If Automation Anywhere can be provided at a lower cost, it would be more beneficial.
Technical support could be improved.
Also, IQ Bot could increase the handwritten document reading ability.
I've been using IQ Bot for more than two years.
IQ Bot is a stable solution.
Technical support was very convenient previously, about one and half years ago, but now, it is not as good. Even the support persons that we contact can't give us a solution.
The initial setup is a bit complex; it's not like setting up client.
The cost can be high.
I rate IQ Bot at eight on a scale from one to ten. I reduced it by two points because of the cost and because the handwritten reading feature could be improved.
I would recommend IQ Bot as long as the client is able to afford the cost. The advice I would give would be that there are some databases in which this feature could be utilized very efficiently using conditional queries and regex. So, it would just be a matter of the client exploring the tool and working with the tool thoroughly.
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.
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.
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