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.
We have a group of customers that provide services for contact centers, and those customers have their own systems. Frequently, we can find opportunities for automation so we execute the analysis to search for what kinds of solutions we can deploy. After the development, we charge
We use it with Automation Anywhere version 11.
By using this solution, we have been able to reduce the manual tasks that are performed by our telephone operators.
The most valuable features are rapid development, stability, and ease of use.
This is a very useful product and the intelligence is powerful.
The quality of the service needs to be improved.
Having a complete cloud version, as a SaaS, would be quite nice.
This product is absolutely scalable. We probably have 100 users.
According to the demand, we expect that our usage will grow, although it is difficult to say by how much at this point.
We have been in touch with technical support through online means, and we also have a partner that assists us with technical issues.
I used to work with Automate from HelpSystems, as well as Softomotive.
The initial setup is relatively easy. The deployment took about one month.
The functionality is centralized around a control room, in on-premises infrastructure.
We have an internal group of developers who deployed it.
There are more affordable solutions than this. For example, with UiPath, you can download the software, install it, and start working with it. You don't have to pay for anything until you want to connect to the centralized servers. It is very nice.
We may look at other options in the future, such as UiPath and Blue Prism.
My advice for anybody who is implementing this product is that it's quite important to well-define what the problem is, in order to have an efficient development cycle.
The biggest lesson that I have learned from using IQ Bot is that it's important to carefully consider the scope of the project in order to avoid any pitfalls. You don't want to try automating things that are not viable, or not suitable for automation.
I would rate this solution a nine out of ten.
I am a developer and I have used IQ Bot for one project. It is used for automation.
The most valuable feature is the cognitive, self-learning component that understands the undefined templates.
A community version of IQ Bot should be released so that more developers can gain experience with using it.
It would be helpful if the IQ Bot OCR could be integrated with third-party solutions like FlexiCapture.
I have been working with IQ Bot for between two and three months.
Talking about stability, I would rate it a seven out of ten.
It is a scalable solution.
I have not yet been in contact with technical support.
I have about one year of experience with UI Path but I have not worked on any products that are comparable to IQ Bot.
At this point, IQ Bot has only been running for a couple of months. In time, I will have a better understanding of the product, including its advantages and disadvantages.
I would rate this solution a seven 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.
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 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.
We use it as an extraction tool.
It's quite easy to use, you just have to map the filter to keep it going.
The log scripts can only be written in Python, there is no compatible language.
The cloud version is not good and the fees are expensive.
The Auto Logic creation is available as a plug-and-play model, and this should be available in IQ Bot.
I have been working with IQ Bot for eight months.
Other than being on a cloud network, it's fine, it's stable.
It's scalable, we use it for most of our use case. We have no issues with it.
We have less than five users in our company.
Based on the use cases, we may have plans to increase our usage.
They provide technical support.
The initial setup is straightforward.
It took less than a week to deploy.
It's expensive.
IQ Bot is a part of Automation Anywhere.
I would rate this solution a seven out of ten.