Automation Anywhere Reviews

Our journey started with a migration initiative with something that already existed in an RPA solution. Then we started expanding and we started going into finance and HR activities. We use it in different entities and have been working with Automation Anywhere to build automation. We're seeing a lot of very good use cases that help deliver very good ROI. 

Our company is quite large. We have several hundred applications and systems, including legacy systems. As part of a recent merger, part of our work is consolidating these systems. There are a lot of challenges. Someone has to manually perform activities, for example, to be an integrator between two systems. We use Automation Anywhere to bridge the gap. Wherever we can find and remove the human from repetitive tasks, we use Automation Anywhere. 

This is a cloud solution. The framework we had before was on-premises. We wanted to move to the cloud, and that was a huge change. We're also able to redesign and refine processes that may have already been in place.

During our migration initiative, we were able to talk to different customer groups and revisit aspects to make things better and do things that may be needed. We were able to effectively optimize the processes and redo what was already in the existing platforms.

There is a lot of interest in operationalizing AI. There's a lot of buzz around generative AI. We've been reviewing different AI services. However, our focus has been more on orchestrating an entire end-to-end process, not just the AI. When we're talking with all the groups, we try to identify which steps can be automated, and add AI into the mix, if it is needed and it makes sense. We've had a lot of opportunities to work within legal, corporate, finance, HR, et cetera, and we're working to bring more use cases into production. Right now, it's all in proof of concept. 

The leadership is very invested in generative AI and doing a lot of research. There's a separate team that does InfoSec reviews. We're undergoing a stringent vetting process. We're in the analysis phase to ensure the data stays within the model and doesn't go outside the LLM for training. 

We are finding opportunities to implement some hyper-automation options. 

Automation Anywhere and even previous versions, which I've worked on, have good core functionality. The core functionality of being able to automate and build a solution that is local and low code is one of the key differentiators that's allowed us to find success. 

It's easy for business users who don't have technical skills. We try to build and help users build automation quicker. We've built a framework around it that's made it easier for everyone to build automation. 

The learner curve for users is okay. The curves are different for end users. We have a large footprint of citizen developers, and some take quicker or longer depending on prior project commitments. It depends on the amount of time they can commit to it.

We've used the automation copilot, which is quite useful.

We have a lot of internal tools. A lot of finance and HR, for example, have specific apps and platforms. We've established a lot of connectivity with other apps. If there's an interest that business users want to start building, we already have the framework in place, which makes integrations fast.

We get a seamless experience when using the packages. There are constant upgrades. It doesn't stay stagnant; there are new features added to it. The consistent growth of the packages has remained seamless.

We save time and money. I can't share exact details, however, we do have good ROI. We track time, compliance, cost avoidance, et cetera. Everything is heavily tracked, and we make it available for leadership to review. 

The improvements have already been rolled into recent releases, like better governance models. From a GenAI perspective, there are good releases like automation pilot and copilot that are already part of the product's release agenda. 

They need to improve the stability of the core functionality. If they keep the core constant and constant, they will continue to thrive. It needs to stay consistent. 

I have a long history with the solution. With my current company, we've been using it since 2021. However, in my previous roles, I've worked with it as well. 

The platform is highly scalable. That's one of the key advantages. We build at first on a smaller scale, and build it up over time. The scaling part has been really seamless. It's been good so far. 

We've had a great experience with technical support. They've partnered with us in terms of the challenges we face. We have a collaborative relationship and have had a positive experience. 

As the product evolves, it would be great to have more support and have them up to date on the latest and greatest. The teams should be constantly upgraded to ensure that if something goes wrong, they can handle anything - that will be important for the future.

Positive

We do use other tools that are low code/no code, such as ServiceNow, SalesForce, et cetera.

Everyone tries to improve their opportunities. This competitiveness has helped the product evolve. 

We've deployed processes within a week, while others might take four or six weeks, depending on the complexity. We have release schedules and release controls in place. Everything is streamlined, and we test before the automation goes live. 

We're on the cloud, so we do not have to upgrade anything. 

Maintenance is more on the partner-owner and device side. There might also be work upgrading and testing packages and new features. We do spend some time when a new feature comes out to test it before we actually upgrade our packages.

The licensing isn't an area I can discuss in great detail. 

I'd rate the product eight out of ten. They have been an industry-leading automation solution provider. They have a lot of experience, and the core functionality is great. Keeping up with the market and putting in new competence into the product - the constant innovation - makes the product impressive. 

Our clients use it for different things. One uses it for invoice processing and another for the aggregation of documents based on certain characters. Another uses it to automate processes for the admin department. That company has seasonal workers, and they have to create passes for those seasonal workers. Most of the document uploading and validation is done by Automation Anywhere. Most of those documents are issued by the federal government, and they have a standard format.

One thing I really like is the recorder where you can connect with multiple systems. The OCR is also good. In one case, we used a different OCR than Automation Anywhere, but in document processing, using the OCR engine is good.

And providing automation at scale is something I feel is a strength of Automation Anywhere compared to most tools. It depends on the segment we are dealing with. There are small organizations that might not need robust applications, but for mid-sized and large customers, we usually propose automation anywhere. It's quite robust, and the performance is good. When we are proposing a solution, the automation at scale makes it much easier for us, post-sales and post-implementation.

Also, the integration of the solution's bots with APIs and business applications is good. There are certain prebuilt integration APIs in Automation Anywhere. That's especially true when you're connecting with SAP. There are issues with SAP, but in general, they have connectors with most of the popular CRM tools. The API connectivity is much easier.

We only faced some problems when integrating it with SAP, and Oracle integration was a bit challenging, especially with Oracle Fusion. We had some issues when we were trying to connect some of the applications on the API level. But, in general, integration using Automation Anywhere is fine.

I have been working with Automation Anywhere since 2019, or about four years.

In the last year, the cloud has become bigger, but before that, it was implemented more on-prem only. 

From our side, the number of staff needed for an implementation depends on the number of processes we need to deploy. For the initial configuration, we may not need many people. But, for one of our customers, there are 70 processes that need to be developed over the next 18 months. Obviously, the number of people involved will be much greater than in a project where we're looking at 10 or 15 processes to be implemented. But on average, each process takes at least two to three resources, depending on the complexity.

Once you have deployed an application, you need to maintain it. Compared to other products, it takes slightly fewer people. Maintenance on the admin side requires one to two people. We always assign one FTE for this, at a minimum. Depending on other factors, we might go for two.

Automation Anywhere is more stable compared to some of the other tools on the market. And, post-implementation, we have very few issues with it compared to others. For me, it's all about post-implementation and why customers are happier with Automation Anywhere.

For small and medium-sized customers, we may not suggest Automation Anywhere because of the cost difference.

UiPath has gotten much better in the last two years. They have really grown in terms of overall performance and bot capabilities. There has been a huge improvement there.

As for non-technical users, it's not a low-code type of solution where you draw and drag and drop. Still, it's okay, to some extent, if they at least have some understanding of technology. Generally, it's easy to learn. If you have access to Automation Anywhere University, you can really learn it. But because I am from a technology background, it was much easier for me. We give our customers 13 or 14 sessions to bring them up to speed, and that might span over the period of a month to two months.

In the discussion about RPA versus API integration, one definite advantage of automation is that scheduling, bot management, and those kinds of things are automated. It's more about the customer and their perspective. With automation, you already have something cooked up, and you don't have to worry about much at a later stage. That makes automation much easier for them than using an API integration. You have to maintain an API integration, and there is the cost of maintaining it. With all those factors, automation becomes much easier for the customer.

We have been proposing Automation Anywhere to multiple customers. It's good. It's robust. But it's a bit expensive compared to other RPA tools on the market. Sometimes, it's too heavy for customers, especially if it's on-prem. Also, maintenance is slightly higher.

We use Automation Anywhere for our Finance department.

Automation Anywhere is cost-effective.

The ability of Automation Anywhere to provide automation at scale is quite good.

Automation Anywhere integrates well with APIs, RPA bots, and business applications.

Automation Anywhere has helped our organization increase its automation consumption by over 20 percent.

The customization feature should be made more user-friendly in order to enable the use of external reference components.

The technical support has room for improvement.

I have been using Automation Anywhere for three years.

Automation Anywhere is stable.

Automation Anywhere is hardly scalable.

We are a partner of Automation Anywhere and find the pricing to be reasonable. There is an additional cost for using OCR.

We evaluated UiPath, but the cost is higher compared to Automation Anywhere.

I give Automation Anywhere a nine out of ten.

Users of Automation Anywhere should possess programming skills. The learning curve for the solution is straightforward. Training for Automation Anywhere does not exceed two weeks.

If the solution is maintained by the business user, I believe that robot automation processes are better, as they do not require the same skill set.

We use Automation Anywhere in our Finance, Pricing, and Purchasing departments.

Automation Anywhere requires a significant amount of maintenance. The maintenance is performed by me and two of our business partners and requires approximately ten minutes of testing per day to ensure everything is running properly.

Our organization is planning to transition from using Automation Anywhere to Blue Prism Cloud due to our business requirements. I highly recommend Automation Anywhere to other users.

Automation Anywhere is a suitable solution for businesses.

We serve different clients of ours helping them streamline or ease out with their day-to-day activities. There is a team who identifies which activities can be automated end-to-end. They prepare a proposal sheet, which comes to us, and we do the feasibility of it: How much of that activity can be automated. Then, we proceed from there.

Currently, in our production environment, we are using Automation Anywhere version 11.3.1. In a beta test version, we are also evaluating the latest version, which is 11.3.2.

Previously, we had to input a password to a particular tool for the user to login. The only option was through encrypted keystrokes, and if I uncheck the password, I can see it. Now, they have a credential vault, which is 256-bit encrypted. That is the highest security that can be provided when it comes to credential maintenance. That's a day and night difference. With a credential vault, other than the user who is entering the password, no one else knows what the password is. This also helps when convincing the clients. 

The most advanced feature in the current version is the security. Previously, the whole thing was like a software installation. Nowadays, it is more of a URL and credential vault. Everything is taken care of by a centralized tool, a Control Room, which is only accessible through the URL. I really like this feature. I hear that in the upcoming version that everything will be cloud-based. So, I'm really excited to see that type of an infrastructure.

As a developer or user, I feel that the performance of the overall package could be made a little better or reliable. For example, if I'm opening up a heavy Excel file, which is uploaded in some shared drive over the net, and I have my box coded to open that Excel to do some work or formatting on it, and depending on the network load and the size of the file, this client version while trying to access that file becomes unstable at times. It goes into the hang position until a human being comes in, ends the task, and restarts it. Until this happens, it does not respond. 

In version A2019, it's moving from a software installation infrastructure to a cloud-based infrastructure. I am hoping that the end-to-end deployment from conception to coding to production will be much faster than it is right now. That really excites me as this is a feature that I suggested to tech support.

I've been using this tool since 2014.

I would definitely like to see an improvement in how it handles the system resource crunch and how it takes care of the pressure. That would be really nice to see.

Over the years, I have seen the solution really change. I have seen the differences that come with the subsequent releases.

It is definitely scalable. It is very flexible when it comes to scalability. I have had projects in which the total benefit was about 12 FTEs across the globe. We would start off with 0.5 FTEs when we went into live production. Then, we started onboarding other countries or regions, and getting roles onboarded was pretty much seamless. Scaling up is a good thing that Automation Anywhere has for it.

I use Automation Anywhere's tech support every day. They are awesome. Whenever I have certain ideas, I always drop them an email. Then, six or eight months down the line, I see those releases coming in which makes me feel proud. 

The engineering team works on our suggestions and provides us with a patch or upgrade, which is nice to see.

Back in 2014 (at my previous organization), I wouldn't say the initial setup was smooth. There were a few roadblocks. Both Automation Anywhere and my previous organization worked on them. Eventually, everything got sorted out. Nowadays, everything is much better than what I saw back then.

We deployed in-house.

I have not see ROI in my current organization. However, I did see ROI in my previous organization.

In the initial year after deployment, you won't see return on investment. Eventually, when your bot is more stabilized and your processes are streamlined, in the one and half years to two years window, you will start seeing return on investment. The FTE cost is definitely higher than the license cost of each bot. If your program has been thought through, then one bot can be used to do the work of approximately two human beings worth of labor. That is where the benefit is, which will start from the second year onward. 

Approximately, for a developer, it is around $750 for a license a year. For Bot Runners, it is about $550.

Automation Anywhere is unlike any other software. Automation Anywhere provides me with my bread and butter. I just love the tool.

Understand what projects or automation projects that you have on hand. Every clients setup demands a different set of tools which can be used for automation. Automation Anywhere does try to cover all environments, though. However, there are a few other tools in the market specifically built for specific infrastructures. First, study your requirements. Then, based on those, go ahead and decide on what tool you want to use.

Automation Anywhere Enterprise RPA was used in conjunction with Automation Anywhere IQ Bot and Automation Anywhere Bot Insights to reduce the time taken to process a mortgage application by automatically verifying the applicants, the address, title, and scheduling a settlement meeting. The automation solution extracted information from or entered data into more than six applications including four major bank web applications. The environment included a Control Room server, an IQ Bot server, a bot runner machine, all running windows server 2012.

Automation Anywhere is stellar and the pre-built bots on the bot store help reduce the development time and effort. The IQ Bot solution can read from scanned images and documents which has hugely benefited the mortgage processing team.

The professional services team at Automation Anywhere helped in designing and architecting the solution effectively and their modular approach to the solution meant, the solution could be tested for user acceptance in stages. It helped the team provide early feedback and suggest changes to optimize the automation solution.

There are several valuable features : 

(1) Validate the data extracted from digital and scanned documents.

(2) Schedule the bots to run at specified intervals and report on the execution status.

(3) Ability to resume automation from intermediate states in case of exceptions.

(4) Ability to introduce human in loop for making decisions without requiring the mortgage application to be started again.

(5) Reporting on straight through processing, exceptions and failure.

(6) Business user friendly interface, easy-to-learn tools and availability of on-demand training for free.

There are some areas that the product can be improved : 

(1) Better exception handling mechanism.

(2) Parallel processing of branches to improve execution time.

(3) IQ Bot: An easier way to tag the document's source after extracting information from the document. (Which group does the document or a transaction belong to).

(4) Better integration with external data sources for Bot Insights.

(5) Advocating and encouraging use of queues and device pools by providing implementation details with success rate and support from services for the same.

I have been using AA for 1.5 years.

V11 is very stable. 

A2019's stability is yet to be determined but most usecases would not have any trouble being automated in A2019. It is more robust in terms of feature availability and bot code maintenance.

Highly Scalable.

Stellar.

We used UiPath and Kofax Kapow.

Not quite straightforward. Required support from Automation Anywhere Support team but that was made available at no cost.

Vendor team and Automation Anywhere's Professional Services.

>80%

Calculate the IQ Bot page count and usage.

Factor in the development as well as training time required for IQ Bot training and validation. The effort is easily underestimated.

We evaluated UiPath but Automation Anywhere's IQ Bot solution was the only fit for our use case at that moment. (UiPath was yet to unveil their "Document Understanding" product suite).

The learning curve is less steeper compared to other automation products in the market. 

We did the PoC in 2016. It was mainly in the services process. We were more focused on the company billings, where there were multiple subprocesses and sub business units. We have did the complete landscape of more than 15,000 FTEs. We are talking around 153 different work types. As the main lead, I was to provide the real-time support to the customers who needs us to fill out required details. That was a completely repetitive task. We decided to conduct a PoC on that, which we did.

If we talk about the automation RPA. it definitely has worked very well for us. I'm talking about giving good savings, about more than 180 FTE savings, after implementing more than 200 plus bots. It has worked well. As an organization, it has supported us very well, and also for our customers.

Our task was very repetitive in nature. We had to fill information from Excel to some application. That was quite repetitive and the volume was also very high. Initially, we did the PoC from that process, which was easy to implement. Because it was a first for us, it was very easy to implement. That has provided good savings for us, where we have implemented 13 bots with the reduction of 16 FTEs.

There were also some tasks where we needed a cognitive approach or an OCR solution. There were some scanned documents in a PDF format. We were in the initial stages and struggled at that time. I'm talking about in 2018. We struggled to get them into the structure format.

In the current stage, there are lots of opportunities in terms of claims, insurance, and banking where we need AI and cognitive solutions to automate unstructured documents. That is a need of ours. Automation Anywhere should improve in this field so they can provide support for artificial intelligence and cognitive solutions.

Initial days, we struggled. When we started the automation for six weeks, the solution design was put on hold because of the system capability. But, they provided us good support and upgraded their systems, and now, it works smoothly.

If you ask me to rate the technical support from one to five, I will rate them a four. I will say that the technical support is good. If it is required that they provide their resources, they will send their resources to your organization to support you in terms of development and technical support. 

I have experience with UiPath too. If we talk about Automation Anywhere and UiPath, it's a completely different experience. Our work now is more for the claims and payroll processes where thought and human intervention are involved to process transactions.

This is now a completely different experience. Initially, it was a very repetitive task. Now, manual intervention is required. We have to go and read through documents. We have to read through histories. In terms of that, I can rate equally Automation Anywhere and UiPath. However, if we talk about artificial intelligence in 2019 and what Automation Anywhere is coming out with, it is great then.

The initial setup was not that great. The road was very up and down. We struggled. A lot of the features were not compatible with applications which we are using. That was the reason. This was the initial days, we are talking about 2016 to 2017. The buzz was not as much as we are having now. 

From that time until now, Automation Anywhere has upgraded their systems. They are at a good pace now. But, at the initial stage, we struggled in terms of getting things sorted. We also needed support, so the Automation Anywhere team sent some support to us who helped the developers in terms of coding and finding solutions.

Some of the features were not very well identified at that time. The Automation Anywhere team provided the support for that. Initially, it was like a rollercoaster for us.

If we talk about time, normally bots take more time than users. The benefit is the bots can work 24/7, if your application supports. With the solutions that we have now, we can have attended and unattended bots.

There are savings in terms of ROI, but It's not only about savings. It's about the customer experience nowadays. If we talk about the customer experience, your experience will be improved. There will be a lot of reversals which happen when you are processing transactions manually. When you are implementing the RPA, you eliminate those reversals. You deliver the product right the first time. That is more important in terms of keeping your organization having consistent growth. That is a very important thing. 

You will see savings, not in the same year, but in the coming years. In two to three years, you will definitely save money.

Automation Anywhere works very well. When you have a large number of accounts, have to automate, and the task that is repetitive, you can use Automation Anywhere. The features work very well.

I will rate it an eight (out of 10). We had that experience where we struggled to have the structured format of scanned documents and PDF formats. There, we struggled a lot. That is the reason for the rating. The rest, I think is perfect. The services are fine. Automation Anywhere services are good. It is easy to implement. The best thing: It's simple and easy to implement.

We are planning to introduce a bot for every employee in the organization. There are around 9,000 employees in our organization. We are trying to introduce a bot for each one. That's our use case currently. We are working on how to improve their day in, day out life, how to make them work efficiently, removing repetitive tasks from day-to-day work, and give them important tasks/solutions that they are supposed to work for.

A valuable feature of Automation Anywhere for my needs is IQ Bot because it covers most of the semi-structured and structure data. That's where we are struggling a lot. So, IQ Bot is a very good solution to know and bring onboard for the automation of unstructured and semi-structured data.

Another valuable feature in Automation Anywhere is the analytics, like what data is coming, the process, and the number of times it's processed. That information is very powerful in Automation Anywhere.

I am looking for artificial intelligence and machine learning. I hope that they introduce them in A2019. I'm looking forward to what will be there in A2019 because that's the area that we need to go forward. We are looking for Automation Anywhere to put up their efforts to make it easier by incorporating artificial intelligence and machine learning. Along with RPA, this would make our automation journey very easy. We can bring more processes into automation, that's where I am looking for automation to focus on.

It's a very stable, reliable product. We know a lot of use cases for customers that are running successfully. It's a pretty good product and very stable.

It's scalable. The analytics are very powerful. We can give the customer what has happened with the bot, how much time it ran, and how much time is ideal. All this information, we can easily show how successful it is, how much our productivity it is giving to them, and what ROI they're getting at the end of the year. It's pretty easy to go with Automation Anywhere.

We get a lot of support from Automation Anywhere. For any issue, we just call the people, and they're ready to be there. They send up people to our organization to set up and resolve issues. Any sort of glitches which we are facing, we can contact them anytime. They're ready to give us a solution. They even send up people to our premises to look and give the solution for us.

It is very straightforward and easy to install. They are going to introduce version A2019 online without a need to to install. There will be just one click of the URL to start developing within a minute or two, and it will start. There's nothing easier than that.

Money-wise, we get a lot of ROI. Efficiency-wise, it removes all the repetitive tasks from a person. An engineer's job is not to enter the data, check the Excel everyday, and put the data from Excel to somewhere application. If you automate the process and let Automation Anywheret do it everyday, you have a lot of time for more complicated issues. Engineers are meant to resolve issues, not doing the repetitive tasks, like Excel. Efficiency-wise, it is very good. ROI, It's also pretty good.

I can give a 10 (out of 10). It's a perfect product. It's made my life very easy and a lot of people's lives very easy. It removed a lot of people's hectic, repetitive, boring work. You give a lot of free time to people, so they can do some other work which they really want to do. It's a very good product.

I'm responsible for the digital practice within the tax business. We are building a lot of our solutions using the Automation Anywhere platforms, both with IQ Bot as well as the regular RPA, in which we offer it to our clients.

I belong to the tax practice. My role is to see how we deploy technology to increase the efficiency of tax departments and help build new revenue streams from technology in the process . We work with our clients offering digital solutions in the tax space. That's really what I do for a living. We have had a lot of success using Automation Anywhere products. We've actually built a few solutions that were done on the EY cloud, which are offered to clients as a managed service.

I'll just talk about one use case using IQ Bot. Interestingly, every time an employee travels in India, the tax that you pay on each invoice, that is an amount that you can claim from the government as a tax credit. To be able to extract that information and put it together into a return can be massive. Because there are large companies where thousands of employees traveling every month and so on, what IQ Bot does using Automation Anywhere, is it reads through multiple sets of invoices, which can be in any format, extract the tax amounts, then it creates the return which is then used to file with the tax authorities. We don't even stop at that. We also compare this data with what is the actual travel that any company has. In many cases, what we've seen, there is a lot of tax where invoices have not been received. We also plug those gaps. There is a lot of value that clients derive using that aspect as well. It's not just about getting your tax right. You need to find where the leakage is and get that back to the company.

 I can tell you what our clients are always looking for. The big challenge with our clients is that while ERPs are only handling 20 to 25 percent of the requirements. There is a lot of unstructured and semi-structured data that exists in the ecosystem which they can't leverage. That's really what they want the bots to do. How can they complement the current IT infrastructure in a good way to be able to get that outcome?

IQ Bots are extremely powerful. We are using them increasingly more where we're about to look through a lot unstructured sources, like PDF documents, scanned images, contracts, etc. We are able to take the data out, then use that toward processing structured data and creating insights for our clients. 

They have done a fairly good job on the RPA space, but more and more, the whole cognitive AI space and machine learning are where I see the industry actually going. I'm sure Automation Anywhere is also focused on that topic, but we would like to see more coming down the pipe, as early as possible.

So far, we haven't had any issues that I want to highlight, so I'm assuming that it's quite stable. It is working as we desire it to work. 

I think we have more than 50 clients who use our solution at this point. So, the scalability of the platform is well proven.

Every client is looking at scalability because they don't want to do just one or two processes. But, you will not be able to realize the value if you just limit yourself to a limited set of processes. So, the scalability is a very important task for clients. But there are certain challenges in scaling up. To be able to identify the right use cases that bring value is huge and very important.

Secondly, the technology infrastructure can be challenging if you scale up because you always have to add new servers to scale. That has always been a challenge. Having said that, I think what we heard today from Neil, there's a cloud version available that will be easily scalable. That is extremely exciting as a developer. That will be able to address a lot of the scalability issues that we've come across from our clients.

We have two models: 

1. With many clients, we actually go and have them implement Automation Anywhere in their own premises.
2. The second model has actually proven more beneficial to lot of our clients. It is where we have set up the bots in our own EY private cloud on Microsoft Azure where we have implemented certain standard tax processes. So, we only get clients to migrate their processes onto our platform. There, we just take out the pain around the whole implementation, because it is not really relevant to our clients. They just start to get outcomes, and don't have to worry about it.

We have developed a very strong capability internally that is proving to be strong differentiator for EY in the market.

the ROI of the automation investment for tax processes is very strong as apart from the process efficiency, there is also a financial aspect of lost tax credit that our solutions help to capture.

 A lot of the clients have some footprint of the other competing RPA vendors who they want to leverage. We often come across those type of situations.

There are some inherent advantages that Automation Anywhere offers. Both in terms of the commercial structure, as well as from a platform perspective, that makes it very compelling for clients to actually look at using Automation Anywhere for tax processes. in our case, in India especially, some of our clients really want to start small. So, they don't want to start with a big bang, like 20 to 25 bots. It is always easiest for them to start with one process and one bot, go with a proof of concept, and gradually scale up. We have a very good arrangement with Automation Anywhere, where we can offer that as a partner pack, where we bundle services and the license for small processes. This makes it quite compelling for clients. 

The way the platform is evolving, we also see some technology advantages using Automation Anywhere, especially if you combine RPA plus IQ Bot along with the Bot Insights platform. That gives it a different shade compared to some of the other existing platform vendors.

I would rate it a six and a half (out of 10).