IQ Bot [EOL] Reviews

We primarily use our IQ Bot for scanning documents that we get from the vendors. That is number one. We also use it as an HR input tool. When we receive physical documents from an employee wishing to join us, we run them past our IQ Bot solution, updating the master for all employees.

Ours is a retail business, so we use the solution to do continuous management of our recruitment process. From this perspective, maintaining the records of our employees is one of our key challenges. We use the solution primarily for HR data input, although we also employ it for backups.

At times we have to carry the nutrition facts as these relate to our billing cycle in respect of employees and customers.

Should the employee or customer request this, we must scan the nutrition facts of all the treated goods into our system. Previously, this took time, as there were errors such as would be found with the different classes of sodium-potassium or something in a particular product. We do this with an IQ Bot, as well. But, this is at the proof of concept stage. We have not gone with the dark system, the HR system being light.

The extraction feature is the most valuable. Because the post-processing and the pre-processing are very standardized, even from a classification point of view, things are fairly simple, as you still need somebody to feed the data. But, the place where I found the IQ Bots to be a par change in comparison with the other solutions is on the Extraction piece, as it uses good and middle technologies to extract the specific data that we require from the documents.

While there is adaptability in terms of the data series, an issue that should be addressed concerns different sizes sitting on deck, for something that can be done respecting the terms of the sizing of the template that the bot should be. 

Another issue is that the user should be able to update the data libraries. When it comes to small matters, a person should not need to be at the mercy of an implementation partner or Automation Anywhere for the receipt of instructions to reach out to the technical helpers

For other matters, we worked proactively with IQ Bot to address pain areas that we had encountered in our prior experience, such as that of the design evaluation or of the work we had done with our hardware providers in terms of the quality of the scanning and compression technology. This we addressed because of the inordinate burden on hardware capacity when doing high image scans, something which tremendously raises the size boost. So, we have, over time, optimized that along with the Automation Anyway team.

For anything in a standard location, we have fixed the sizes and do examples in the time of the ULT. Our extensive proactive work with IQ Bot reduced our pain areas.

Furthermore, in the past, I had forgone solutions that are in the scanning mode, such as vendor invoice management or OpenText from this or from Kofax. We contemplated the advantages and disadvantages of a scanning solution, a matter we have been instrumental in addressing. We now refrain from trying to do every conceivable task and to scan the entire document.

I have been using IQ Bot within the past 12 months.

We are not using the latest version of the solution. We have employed the more minor of its two upgrades but not the one which matches the latest version.

The solution is reliable. This said, I always explain to people who ask me about any RPA solution that there are two challenges. The first is that a person will have to estimate the running cost of the IQ Bot throughout the life cycle use of a new plan. So, it should not be evaluated as a one-time solution, as there is a maintenance fee required. A license renewal fee of core EMC charges must be paid. All of this should be taken into account. 

Keeping in mind the licensing fees incurred by Automation Anywhere, a deal should be made irrespective of the number of pages.

Otherwise, one may find himself countering good value properties, such as if another license must be purchased after 50,000 or100,000 pages. This would defeat the purpose of the time and investment made in the solution.

As such, one should never view the account being offered as too high to preclude its use. This situation can be encountered faster than one would think. In light of this, it is always better to opt for an unlimited, rather than a limited, license.

It is difficult for me to assess the solution's scalability. We have around 2,000 employees and, assuming that everybody has eight to 10 credentials to be shared, we are attaching only 20,000 or 30,000 copies. So, we haven't, as yet, reached the full potential.

We did not need to make use of the solution's technical support. This is because we made use of our critical six month EMC contract, as part of the standard implementation ring, something we did with Tanium based on our past experience. This allowed us to address, during the six months of post goal life, anything and everything that was not working with the bot.

The initial setup was complex, because if you look at employee certification and data it comes in various forms and formats. It's not like it is with standard A4, A5 or Legal text. Since the shapes vary, we considered the building of a database of the forms and formats to be key, which reduced our pain area.

We are trained to notice when a particular form and factor is not present, something which would stick out to us. This would be, subsequently, fed as a master template into the system, at which point the bot would take over.

This way we reduced the error rate from the bot, updating the master accordingly and its basis for being taken forward.

This allows us to create and feed a format into the system, for recruitment purposes, so that the bot may reference it.

Consequently, our pain areas are dramatically reduced, eliminating much tedium.

The licensing is under usage per page, and I wouldn't recommend it. You should buy it unlimited rather than be restricted in terms of the number of pages.

The pricing has room for improvement. If I had to benchmark all three RPA vendors, I would say that UiPath is cheaper than Automation Anywhere. The second would be Automation Anywhere in terms of flexibility, which beats out UiPath and Blue Prism. This latter is just brewing in India and has yet to grow to the preferred size, as they do not have any customer care based out of the country. It is, instead, based out of the United States, something which does not help me. 

In my present company, I was the one who bought RPA and, as part of that solution, we had also gone ahead and bought IQ Bot.

We have a team of eight people who are using the solution. The bot is structured so that it is used by different people for a variety of activities. One is for master creation, both of an employee and a vendor being involved in the system. Therein we get third party documents, which can be read by the bot.

The second concerns the extensive use of the solution that we employ for the reading of invoice copies.

The third concerns the nutrition elements. So, we have roughly two to three people from each function who use it, meaning fewer than 10 people utilizing it at present. 

While it is a manned bot, everybody has a schedule. Every Monday morning, for two hours, we handle nine or ten with HR. The recruitment is dealt with on the first Monday of the week. That's when natives run by HR the nutrition or other items. We typically run it on Nemesis, because that's when we have twigged our back-end system to get the deliveries on the deal set date, whereby we can use the bot at one signal run.

This is the point at which we have done the scheduling to manage the bot. 

One should not implement this solution until he has the desire to do so. We received it as part of a bundled offer, meaning we had to look for solutions allowing us to make use of it. Only if there is a large amount of scanning, such as a case in which 90 letters produce highly voluminous activity, is an IQ Bot the best solution, absent which a person can manage without the bot. We had already considered HR, but only for the searching of around 20,000 or 30,000 tickets.

If a person has the desired volumes, I would rate IQ Bot as 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.

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.

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. 

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 mainly use it for invoicing and other similar things. We use it to extract the data in different kinds of forms. 

The flexibility to deploy based on the different types is the most valuable. We can deploy pieces of the program directly over the fields. We can also directly connect with databases. We can modify it and make different connections with the database.

We are also able to programmably modify the fields and change the presentation and values or evaluate a list of values. We can change the values on the fly.

It is very flexible and very easy to use and learn. It is also very simple.

The way this solution creates invoices can be improved. It is slow. Sometimes, it is also very complicated because you need to apply some kind of filters and effects over the images, which makes it a little bit complicated. They can reduce the complexity to manage the fields or incorporate other features. They can provide an easy way for developers to customize and program fields.

The accuracy of the OCR engine can be improved. It would be great if they can also provide an ICR engine and an option to choose between OCR or ICR.

I have been using IQ Bot for a couple of years. 

It has good stability. 

It is very scalable. In terms of scalability, it is very competitive against Datacap, and it is very close to Datacap. These are the leaders in this field.

I didn't get a chance to interact directly with their technical support. I use our internal support. I need to go through our technical team, and they provide level-one support. If they can't resolve our questions, they directly interact with their technical support.

The initial setup is very simple and straightforward. Deployment of 25 types of forms with an average of two or three variations probably takes around three weeks.

It has an average cost.

I would recommend this solution. It has been very flexible for us, and it is helping us to reach our goals at the moment. 

I would rate IQ Bot a seven out of ten.

I was using this solution when I was providing a service to a customer. I used the solution for invoice processing.

The solution is able to extract information from invoices which were helpful for my company.

The valuable feature of IQ Bot is the AI functionality.

The solution did not allow the use of other OCR and their own was not accurate and could improve.

I have used IQ Bot within the last 12 months.

The solution is used daily.

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

The support could improve.

I rate the support of IQ Bot a five out of ten.

Neutral

The deployment took three to four months.

I rate the initial setup of IQ Bot a seven out of ten.

There are other solutions on the market that are better.

I advise others to ensure their documents are properly extracted as part of the OCR.

I rate IQ Bot a seven out of ten.

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. 

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.