What is our primary use case?
I specialize in RPA. So, I started learning FlexiCapture to include it in the automation process. Instead of users having to manually enter information into a database or something like that, they can just load their digital documents to a certain location for ABBYY to decipher them, and then the bot and the automation could just continue along with that.
For one of the projects, it was deployed on a public cloud. For the other project, it was on-premise.
What is most valuable?
The whole idea of designing your own templates is pretty much the bread and butter of the product, but that's really the best part because you can design flexible templates.
There is also the AI part. They have their machine learning models that are pre-setup for invoices and things like that, which is also very handy. It is a really good feature.
What needs improvement?
There is always room for improvement in any product. Some of the configurations for the machine learning models for invoice reading are fairly complicated. There is so much customization that is possible with that sort of thing, so it makes sense that there are a lot of options, but some of the more important ones can be a little better streamlined or more upfront. Currently, machine learning models are a little bit difficult to configure satisfactorily.
There are a lot of solutions for different things, and they are all kind of headed in the same direction where they all do everything. I know that ABBYY wants to try and do a little more RPA. Solutions like UiPath, for example, want to eat ABBYY's lunch too. They all are trying to make an all-in-one solution for all possible automation needs. In that sense, ABBYY as a standalone product could use some more automation features. They are not there yet.
Its integrations with strictly RPA products, such as UiPath, Blue Prism, and other solutions, work when they work, but when they don't, it is a kind of a pain. Those integrations could use a little bit more support.
What do I think about the stability of the solution?
I have run into issues with the connectors that they developed for UiPath. I had one issue with that. It didn't want to do what we wanted. We had to change how it worked a little bit as far as the automation goes. It wasn't a huge issue, but it would have been much more convenient if had worked the way it was designed to. Otherwise, in terms of the stability of the project itself, I've never seen it crash.
Its performance is usually dependent on the hardware it is installed upon. That's not really an issue with the software itself. Its accuracy is good. It is probably one of the better optical character recognition packages that I've seen, but it still is not perfect because none of them are. It is the nature of the software, but it is pretty good. As long as the clients can provide reasonably readable documents, then it has got no problems as far as I'm concerned.
What do I think about the scalability of the solution?
It is actually relatively simple to increase the scale of the infrastructure that you install. When I was dealing with it, the licensing structure that they had was relatively affordable as compared to other solutions. The bigger the scale, the more affordable it is. These things change all the time, so I don't know if it is still current.
The projects I've been on were proof of concept and then we just rolled them into production on the first stage. It was pretty small scale, but they had plans to go large scale. One of the projects actually from my end was still just the small-scale stuff, but other departments in the company had already procured a rather large-scale ABBYY license, and it was in production. I had nothing to do with that section, but the company as a whole had a pretty large infrastructure for ABBYY itself. They were dealing with millions of pages per month or so.
For proof of concept, there were probably about four or five test users. For the second one that I worked on, it was planned to go to production from the get-go. It started out on small scale again with probably four or five users. So far, the scale is 20.
How are customer service and support?
I have used tech support, and they've been extremely helpful. There was a part of the solution I couldn't figure out myself. So, I enlisted their help, and they walked me through how to do what I needed to do. They set up a time within the next day or so, and they spent an hour with me. We figured it all out, and it was good. There is always room for improvement. Other instances haven't been as perfect as that, but that was certainly a shining example.
Which solution did I use previously and why did I switch?
When we did the first project, which was just the proof of concept that I was part of, they had older software from 20 years ago. There wasn't support for it anymore or something like that. They were looking for something that could handle a larger scale. So, they switched. We suggested them ABBYY, and that's where they went.
How was the initial setup?
For the clients for whom I worked with ABBYY, we would arrange for them to provide an environment. We would go into the environment and install ABBYY servers. If required, we'd also walk them through installing the clients on their machines, but generally, what we've been doing so far has been the support to an RPA project. They didn't really need to use ABBYY clients. It has all been pretty much backend stuff. We would install the infrastructure, set up the automation and its interactions with ABBYY, and then run tests in UAT. Once everything is ready to go, we do the final production deployment. After that, we have a week or two of maintenance before it gets off to a specialized maintenance team.
It takes about a week for the installation, but the development planning usually takes months or longer. At the time, I was pretty much doing it myself with support from a business analyst. The deployment of the infrastructure, the development of the automation and the ABBYY components, and then running the testing was usually just a one-man job with support from a couple of other people, such as a project manager.
Once we have developed the solution, there is a testing period where we just put it in their hands, and they throw all sorts of scenarios at it. We fix the bugs as it goes along. ABBYY does have a learning function where it can pick up on these changes when things arise, as long as the users are able and familiar with how to train it, which we show them how to do. So, maintainability is pretty good as far as I'm concerned. If there is something completely wrong and it is not reading anything right, then we have to go in and edit the templates, etc. Generally, if we set it up right and they learn how to teach it right, it is pretty stable.
What was our ROI?
The client got an ROI in reducing the number of hours that the users have to spend on a given task. Again, my solutions are not purely ABBYY, so it is hard to say how much of the benefit the ABBYY section alone was. Usually, ABBYY is involved because the users are spending a lot of time entering the information they see on a piece of paper into the system, whereas ABBYY can read it all in seconds. So, there is certainly great time savings. It then becomes a matter of comparing the cost of installation and the cost of developing the solution, licensing, and everything else with the costs and the time of those users. Even if it is pretty close to equal, they usually go for it because it is a much better environment for the users to work in and is less tedium. So, they have more employee satisfaction.
What's my experience with pricing, setup cost, and licensing?
It is more on the reasonable side as compared to the competition that I am aware of. I'm not an expert on pricing schemes for all sorts of things, but when we offer them a solution, we like to say we're agnostic. So, we offer more than one solution when possible. Amongst the ones that we've offered, ABBYY usually is the more reasonable solution on a big scale. On a small scale, they're all pretty similar.
As far as I understand, you pay a license for a number of pages, and that's pretty much it. It has just the rate per page, and it decreases as you scale.
What other advice do I have?
I've never done a strictly ABBYY solution. My solutions have all been ABBYY plus UiPath or something like that. After a solution has been deployed, there have always been bug fixes. Other than that, clients have always been extremely happy with this solution. They're excited they have to do less work.
If you have the right use case, it is definitely worth it. As a solution, I would rate ABBYY a nine out of 10. It is a solid solution, and support is there. It is good.
*Disclosure: My company has a business relationship with this vendor other than being a customer: Partner