Automation Anywhere Reviews

Since we are an insurance company, there are many administrative tasks, such as, the enrollment agreement process, address change after enrollment, issuing of various certificates, making payments, etc. We wanted to automate these administrative or back office operations, so this is where we first started. After we verified that the products by Automation Anywhere can work with our organization, we decided to expand their use to the making of sales materials and business performance documents for our sales division, as well as administrative processes for our operations division. Other uses include compliance related matters and checking of anti-social forces. We are taking the initiative to automate all sorts of administrative tasks of the company with the help of robots and RPA. 

The solution has been implemented into 27 divisions.

The immediate impact is administrative tasks which were traditionally done manually are now being done by robots. This reduces the workload for people. This not only improves efficiency, but also expands the type of work which can be done by people. 

When I spoke to people who have used the solution, they mentioned that they have much less stress. As we are an insurance company, a finance company, where avoiding administrative errors is critical. We need to check things over constantly, but with the use of these robots, there is no need for it any longer. In addition, robots take care of pre-process tasks and notify us in advance, so we don’t forget what we need to do. In these ways, it reduces stress.

This solution is valuable because it can automate tasks which would otherwise be left for us to process manually without us incurring an enormous investment for the cost of the system.

Since we are a life insurance company, our contract terms are very long. They could last for 50 years, or even a lifetime, which means we have many old contracts. If we make an investment into a system, this is an enormous cost for us. If we automate with a system, there would be a wasted cost. So, we had almost given up on automation, thinking the future of our company would have to rely on manual processes. That is when we found out about this solution. By implementing it, we were able to solve the issue of automation, which we had almost gave up on.

The fact that its robots can touch on various systems, like humans, this is what is ground- breaking. It means it can handle various systems.

It’s not about the solution itself, but our administrative work is mostly done in the morning. This is something I have been speaking to Automation Anywhere about. If they could offer licenses only for use in the morning, we’d have a bigger savings cost-wise. Currently, the license is good for 24 hours, but there is not much to do at night and plenty to do in the morning. So, if we could use more in the morning, that would be a great, as we also have a bot farm. This is also when we increase the number of tasks to be stabilized. If they are managed within the client or server, there will be a risk of losing the service in case of emergencies, such as power outage. Therefore, we are working to manage them virtually on servers. With Deloitte’s help, we have been setting up a structure where we can get the robots to work without having the client. That would hopefully ensure stability and viability in case of emergencies.

If we could hire part-time workers on shift-based employment, that would be ideal.

As far as stability is concerned, there have been some challenges. Sometimes, we experience our computers freezing up for no apparent reason or the network being inaccessible. So, when the robots stop working, the cause may be the RPA or it could be some other culprit. 

While there is room for improvement, I do think that we need to take into consideration that the robots may stop working at any given moment. That’s why we need a tool that supervises the robots. The Automation Anywhere products already include such tools within them. We need to be able to monitor them. We need to be able to find out as soon as the robots stop and where the processing has ended. These functions are included, so we just need to quickly jump on the recovery process. That is what I think is important.

It is highly scalable. At the time of implementing this solution, we thought that the scaling might be challenging if the setup process took a lot of time. However, it turned out to be very scalable because, by segmenting, it can also be applied to other new business processes. In addition, it can be done without engineers or system engineers. It does not need to be developed, but we do need to set it up based on rules. 

The cost for scalability is much cheaper than developing a new system.

We are using Automation Anywhere products, but we are getting technical support from Deloitte, from whom we purchased a license. They get back to us swiftly. When they can’t handle an issue, they elevate it to Automation Anywhere, who tackle issues daily. My impression is that we don’t really have technical issues. In general, we follow the manuals that we created, and this solves the issues. There has not been a situation where we have had to contact the technical support everyday for some technical issue. We don’t need to use them that much. That differentiates this from our more comprehensive IT systems.

The reason why we thought that we needed a solution is the management of our contracts last for long periods of time, which includes the maintenance of old products as well. It’s almost impossible to systemize everything from the cost standpoint, as well as the time standpoint, but it can be done if we use a robot. However, it can’t be solved unless we use this RPA. The fact that we can tackle this is huge. We thought that we could improve the productivity if we use it. This is what triggered us to implement it. It was shocking for us when we first saw a software that can handle tasks like a human. 

When we decided to implement an RPA solution, it was our goal to be able to set it up ourselves from the beginning. As we had no knowledge on this product, we asked Deloitte to help us create a manual which suited our needs. The systems being used are different from company to company, so we needed to make it so it work for our company. Generally, product manuals are written in a way that says this command does something. While ours does say this, e.g., to activate this system, use this command. We worked closely with Deloitte to standardize our manual. Deloitte also taught us how to build it as we attempted the skill transfer. 

We had some challenges in the beginning. However, if you have experience with Excel macros with End User Computing (EUC) or have used Access, it’s an easy transition. If you have not done any EUC, you will have to learn from scratch. So, it may take some time. In general, it is much easier than programming.

Automation Anywhere has different types of solutions. When you have a large-scale operation, you need something that is scalable, which can monitor server sinking and operations, and is suitable for the large-scale business development. In addition, it is highly adaptable with the existing systems. So far, except for the few systems, it can recognize all the systems currently used by us.

I would to give the solution a ten, but considering the stability issue and its readiness, I would say that it is between an eight to a nine. 

Foreign Language: (Japanese)

この製品を主にどのように使用していますか?また、パフォーマンスはどうですか?

まず我々が取り組んだところは、第一生命は保険会社ですので、保険にはもの凄く加入の時の 契約の手続きであったりだとか、加入されてからの色々な住所変更だったりだとか、色んな証 明書の発行だったりとかですね、で最終的には保険金をお支払いする、そういった事務がかな りの量であります。で、まずはそういう事務のオペレーション、バックオフィスですね、そう いった所を自動化していこうという所で、そこからまず始めて行きました。で、ある程度そこ で、Automation Anywhere の製品が機能するんではないかと言うことが確認できましたので、 それをもっと広げていこうっていうことで、今は営業部門の色んな資料作りであったりだと か、業績の管理の資料作りだったりだとか、あとはそれ以外の運用部門、資産運用部門の 色々、バックオフィスの事務であったりとかですね。あとは例えばコンプライアンス関係です ね、いわゆる反社会的勢力のチェックであったりだとかですね、そういったまさに第一生命の 中にある色んな事務をロボット、RPA を導入してオートメーション化していこう、そういった 取り組みを進めています。 

当ソリューションはどんな点において最も役に立ちますか?

そうですね、やっぱり機能と言いますか、なかなかシステム投資をすると膨大なコストがかか ってしまうとかですね、そういったいわゆる手作業で残っているところをこのソリューション を使うとやはり自動化できるということですね。我々は保険会社ですので、契約の機関と言う のがもの凄く長いんです。50 年であったりだとか終身保険であったりだとか、そうすると、古 い契約っていうのがもの凄く一杯あってですね、これはシステム投資をすると莫大なコストが かかってしまうと。これをシステムで自動化すると無駄な費用が掛かる。そういった所で諦め

ていて、これはもう第一生命は未来を手で処理をしていくしかないなと思っていたところに、 こういったソリューションがあるということで導入して、少し諦めていたようなところも RPA を導入することによって解決することができたということかなと思います。

やっぱりあれですね、ロボットは色んなシステムを触ることが出来る、人のようにね。そうい った所が画期的なところです。

色んなシステムを動かすことができるということです。

当ソリューションを使用するとどのようなメリットがありますか?御社が機能する上でどのよ うな改善をもたらしましたか?

やっぱり直接的な効果というのはこれまで人がやっていた事務の作業をロボットがやってくれ ることになったので、その分、業務の量が削減できるということです。で、それは単に効率化 っていうだけではなくて人がやるべき仕事をもっと拡大することができる、ということかなと 思います。もう一つがやってみてやはりユーザーの実際にこれを導入している人と話をする と、もの凄くストレスが無くなる、と。我々は保険会社、金融機関ですので事務のミスとかっ ていうのはもの凄くナーバスで、何重にもチェックしないといけないとか、そういった所がこ のロボットでなくなる、とかですね。後は前処理みたいなことはロボットがやってくれてお知 らせしてくれるので、やらないといけないことを忘れない、とかですね。そういったストレス がなくなるということがそういった効果もあるのかなと思っています。

当ソリューションの安定性に関して、どのような印象をお持ちですか?

安定性っていう意味では、やはり色々課題があって、それは通常、普通に事務作業で我々パソ コンを触っていると、たまに原因が分からないけどフリーズしたりとか、ネットワークがたま たま繋がらないとか、そういった、この RPA が原因のものとかですね、RPA が原因じゃなく てロボットが止まるということはよくあります。だから、それは色々改善していくところもあ るんですけど、ある一定程度、そういうロボットが停止するっていうこととかは織り込んでお かないといけないことなのかなと思っています。そのためにも、やはりロボットを監視できる ツールであったり、そういったものは Automation Anywhere さんの製品にはすべて入っていま すが、そう監視できるようにしておく。止まったらすぐ分かるようにしていく。どこで作業が 終わったら、止まってしまったのがすぐ分かるようにする。そういった機能も完備されている ので、それを速やかにリカバリーする態勢を取っていく。そういうことが重要なのかなと思っ ています。

当ソリューションの拡張性に関して、どのような印象をお持ちですか?

まず、拡張性についてはですね、極めて高いんではないかなと思っています。我々もこれを導 入する当初から、あまりにもセットアップしていくのに時間がかかるっていうものだとなかな か拡大できないと思っていましたが、それを部品化することによって、要は、一度作ったもの をどんどん新しい別の業務にも適用することができるというところで、その拡張性って言うの は高い。しかもあまりエンジニア、システムエンジニアがなしでできるというところですね。 開発ではなく、そのあるルールに基づいてセットアップして行けばいい、という形になってい ますので、そういったところでは拡張性と拡張するためのコストがシステム開発するよりかな り安い、ローコストでできるんじゃないかと思っています。

このソリューションにテクニカルサポートを利用したことはありますか?ある場合は、サポー トをどのように評価しますか?

我々、Automation Anywhere さんの製品を導入しているんですけど、テクニカルサポート関係 は保守っていう面ではライセンスを Deloitte さんから経由で買ってますので、Deloitte さんに一 時的なサポートをしてもらっています。あそこにはもの凄く迅速に対応していただいています し、また Deloitte さんでは解決できないところは Automation Anywhere さんが日々、解決に当 たってくれているということです。ただ、あまりテクニカルな問題で問題になるようなことは そこまで多くないというのが印象ですね。大体、自分たちが作ったマニュアルだとかそういっ たことを読み込むと、大体解決できるということで、そこまでテクニカルな問題が発生して、 日々問い合わせをしないといけないとかですね、そういったことはあまりないです。なので、 あまり、そういった意味ではあまり活用しなくても大丈夫というようなですね。そこが IT と は、完全なシステムとは違うっていうところなのかなと思います。

初期セットアップには関与されましたか?セットアップは簡単、それとも複雑でしたか?どう いった意味で簡単、あるいは複雑でしたか?

RPA のソリューションを導入するにあたっては、目標としては自分たちでできるようになるっ て言うのが最初から目標にしていました。ただ、もちろん我々もこのソリューションには何の 知識もない状態でしたので、最初は Deloitte さんに来て頂いて、我々の第一生命に合うマニュ アル作りというのを一緒に取り組んできた。例えば、会社によっては色んな使っているシステ ムも違いますので、そういったものが第一生命で合うようにしていく、と。具体的には通常用 意されている製品のマニュアルっていうのは、このコマンドは何をするコマンドというような 書き方になっているのですけど、逆に第一生命のこのシステムを起動させるためにはこのコマ ンドを使う、とかですね。そういったマニュアルで標準化をしていくということを Deloitte さ んと一緒にやってきました。で、その作り方も Deloitte さんに教えてもらいながら、スキルト ランスファーを図っていくということです。もちろん最初は少し苦労した面もありましたが、

ただある意味 EUC でエクセルのマクロを作ったことがあるとかですね、アクセスを触ったこ とがあるとかですね、そういったことにある程度知識がある人だと、すんなりとというか、ス ムーズに入っていける。まったく EUC もやったことない人だと、やっぱり一から覚えて行か ないといけないので、少し時間がかかるかなと思います。ただ、一般的にはですね、プログラ ミングをするとかよりはずっと容易にできるのかなと思います。

当ソリューションの次のリリースに含まれていたらいいなと思うのはどのような機能ですか? また、それはなぜですか?

ソリューション自体ではないんですけど、どうしてもわれわれの事務の仕事っていうのは、朝 やりたい仕事が多くてですね。なので、これは Automation Anywhere さんともお話ししている んですけど、午前中だけ使えるライセンスとかですね。そういうのがあると、コスト的にもも っとメリットが出てくるのでは。今、24 時間動かすと、なかなか夜中にやらせる仕事があんま り少なくてですね、朝一でやりたい仕事が多くてですね。それをもっと沢山稼働できるように なれば。ボットファームなんかもあるんですけど、そういった所をもっと充実して頂ければい いかな、と思います。ここもやはり製品というよりも、安定化していく業務数が多くなってく ると何か、サーバーとかクライアントとかに、例えば停電が起こったりした時にクライアント で管理していると、全部止まってしまうとかですね、そういったリスクもありますのでロボッ トについてはバーチャルで、サーバーで管理できるようなですね、そういったことを今取り組 みを進めています。Deloitte さんに手伝っていただいたりしながらですね、クライアントを持 たずにロボットを動かすような仕掛けづくりを今、検討を進めていると言うところです。それ によって安定性もありますし、何かトラブルがあった時の堅牢性が確保できるという風に思っ ています。

パートの人を雇ってシフト勤務とかですね、そういったことが出来るといいなと思っていま す。

新しいソリューションに投資をする必要があると思ったのはどうしてですか?

まずソリューションが必要だと思ったところはやはり、我々は...さっきの話と繰り返し になりますが、契約の管理と言うのはもの凄く長期間に渡っていかないといけない、 と。そうすると、古い商品の管理って言うのも沢山あります。それを全部システム化し ていくっていうのはコスト面、その時間の面でも不可能な話なので、そういったところ をこのロボットが解決できる。逆にこの RPA でないと解決しようがないというところ ですね。そういったところが取り組めるというところがもの凄く大きい。これであれば そういったことも解決できるんではないかと思ったところです。それが、導入のきっか けです。人と同じように作業ができるというソフトウェアと言うのは、見た時はかなり 衝撃的なもので、これであればもっと生産性を高めることができるんではないかと言う 風に考えたものです。

最終的に当ソリューションを選択した理由は何ですか?

Automation Anywhere さんの製品は色々なソリューションがあると思いますが、やはり 大規模で展開している上で、さきほど質問があった拡張性ですね、サーバー撃沈を監視 できる、運用を監視できる、それか大規模に展開することに適したものかなと思ってい ます。あとは既存のシステムとの認識度合いも極めて高いということですね。今まで、

一部の例外を除いて第一生命が使っているシステムをすべて認識して触ることができる という風になっています。

このソリューションに 1 から 10 の評価(10=最高)を付けるとしたら、どのように評 価しますか?そしてその理由は何ですか?

10、と言いたいところですが、さっきの安定性の所とかでまだまだ工夫していかないといけな い所があるので、でもそれは製品だけじゃなくて我々の態勢を含めてですね、そういった意味 では 8 点。8 点から 9 点くらいです。

We use Automation Anywhere to automate tasks in our organization.

We needed to connect with multiple bank websites to retrieve payment confirmations. However, banks, being banks, did not provide direct API access or placed significant restrictions on such access. Therefore, we decided to utilize Automation Anywhere to collect the data and integrate it with our automated system.

At the time, all of our automation goals centered on connecting to these sites, which required a great deal of manual effort. Despite the low cost of labor, it was error-prone and highly subjective. As a result, using Automation Anywhere helped us automate this process, eliminating the need for human intervention. We were able to achieve all of our initial objectives using Automation Anywhere.

The learning curve for our non-technical users was a couple of days.

We aim to automate our activities that currently require human intervention, which is susceptible to errors and inconsistencies. This approach is similar to how others have successfully employed AI or RPA tools. Our primary objective is to ensure that our processes are scalable and repeatable.

We successfully integrated Automation Anywhere with our local database. Like any implementation, we faced some challenges with change management, understanding, and other issues, but ultimately, it was a success.

Automation Anywhere helped save the organization time and money.

The overall usefulness of Automation Anywhere is the most valuable aspect of the solution.

The price has room for improvement.

I have been using Automation Anywhere for four years.

Automation Anywhere is scalable, but scaling it can be costly, making it a matter of economic viability for many organizations.

The support is good.

Positive

The implementation was completed by the Automation Anywhere team.

Automation Anywhere is expensive.

We also evaluated UiPath and Selenium, but we ultimately selected Automation Anywhere because they had more experience in this area, which gave us greater confidence that the project would be successful.

I would rate Automation Anywhere eight out of ten. Automation Anywhere is a versatile and powerful platform, but it exceeded our organization's budget.

Maintenance requires three or four team members because the target systems tend to change.

We started out with accounts payable, and now, we're starting to do more vertical revenue cycle management in healthcare. We're starting to use it for other things.

We're on version 11, but we're moving to 2019 or 360. We're in the process of migrating right now.

We were able to replace a lot of the manual and data entry workload that our accounts payable clerks were doing. We had 18 accounts payable clerks, most of them are still there with us, and the work that was done before by this original group can now be done by four people.

The ease of use in getting started is probably the big thing. They had a lot of references that we were able to check. It is a well-known player, and being able to get up and running quickly was the big thing.

Migration is probably our biggest challenge. When we were trying to do the migration to the new version, it was a little bit painful. We didn't have that many bots, and I can't imagine the level of effort that some of the bigger customers have to put in for that. The product is stable, but moving from one release to the other was the issue.

We also had difficulty with some of the documents that we were trying to automate. IQ Bot or intelligent document processing doesn't have all the features and functions that we were originally told it had. They need to improve that. It had some limitations, and we've had to add other products to the mix just because they weren't able to deliver some of the things that we were told that they could deliver upfront. 

They've been talking about task mining for a while. They don't have a good tool out there to evaluate the current processes and come up with a plan. It is a trial and error process where you have to sit down and go through what different people are doing, for how much time they're doing it, etc. There isn't a good systematic way of capturing that information. There are other products such as Kryon, and there is a new product called Soroco that we're looking at, that would let us evaluate the task that could be automated. So, it is not really process automation; it is task automation. You don't really see end to end when you're doing these projects. You don't just decide to automate the whole process. You select the tasks that you are going to automate, but you don't really know the effect that particular automation is going to have on another task. You don't have the big picture. It would be very helpful if both UiPath and Automation Anywhere provide a center of excellence that you could run on your systems so that the people who are running things come back and say that:

• Here is the task that we should be automating.
• Here is the time that we are taking to do it now.
• Here is what the benefit is going to be. 

All these are manual today. You're looking at what other companies are doing and hoping that you're going to get an ROI, but you don't really know until you start the project, and by then, it is too late. You've already spent the money on the software, the bot, the integration, the services, etc. At the end of the day, you're thinking if you would get the ROI. You have to measure it to see if you're going to get it after you've already spent the money. It would be really nice to have something that you could run upfront to know about the automation tasks that are costing you money today and where you should focus your efforts on automating.

I have been using this solution for about two years.

It is pretty stable, but moving to the new release has been a major pain. 

Its scalability is great. It is for sure built for enterprises.

We have six to eight people who are doing validation now and are actually using the product for validation. They are accounts payable clerks and healthcare revenue cycle management folks. 

It is being used extensively in the finance back office, and the idea is to bring it more to the front office for customer onboarding and things of that nature. We haven't done a lot of that, but that's in the plans. We are trying to figure out the next processes to automate.

It is good. 

We didn't use any solution previously. We did add UiPath to another area of the business, so we did bring on another vendor just to see what the differences were and how easy it was to use compared to the other one. We haven't really said we were going down one path as a company. We didn't want to put all eggs in one basket, so we decided to do one project with Automation Anywhere and one project with UiPath and compare the two.

UiPath has a little bit better document management. They have some process mining that we've started to use. Pricing is roughly about the same. There is not too much of a difference. I haven't seen too much significant difference between the two products.

It was pretty straightforward. We originally thought we could do it with internal resources, but we had to bring a third party in to do it. So, it is straightforward if you have experience and training. Our tech team can do it now. 

We started out with a simple invoicing, and the bulk of it took about three weeks or so. Testing everything probably took closer to six weeks. We finally got it going in two months.

When we first started, we thought we could have more of our team doing it, but we had to bring a third party in to do the bot building and all that. It was a reseller, and they had technical people. Our experience with them was good. They were a little expensive, but it was good.

For its deployment and maintenance, we have about three people. We have created a small center of excellence team with three, or sometimes four, people. We have a business analyst. We have two developers, and we have somebody from finance on that team who is putting a lot of hours into that piece. We're truly trying to figure out the next processes to automate.

For accounts payable, we saw a return in about five months from the time we started. There was a significant reduction in the number of hours that invoicing was taking. We went from 18 people to 4 people. We didn't let all those people go, but we did let a few people go, or we moved them into different job functions. 

We're paying a monthly subscription fee for the bot and for services. There are no additional costs beyond the standard licensing fee.

I would advise looking at other companies to know what they're doing. I would also advise putting a complete plan in place so that all bot management needs are considered upfront. It is helpful to put a roadmap in place and have a center of excellence or something like that to make sure that the processes that you're going to implement have an ROI. You can validate the effort upfront by using process mining or other tools and evaluate what the effort is now and what the savings are going to be upfront. 

We did a couple of projects that we thought were going to have significant ROI, but they didn't. It was more of an internal process that we had to fix. It wasn't so much about automation; it was about the way we were doing business. We weren't following processes, procedures, and things like that, and that was what was causing the issue. We had automated a bad process, so it didn't have the return that we thought it was going to have. We had to do some procedures. We had to change some things internally.

I would rate it a seven out of 10. It's a good product. It does what it's supposed to do.

We are working for the Telecom industry, so there are multiple orders that come every day for service changes, add, and disconnect, so we have automated repeated steps using Automation Anywhere.

We use the Schedule feature to run an Unattended Bot, which gives a structured report prior to office hours, and we can directly start manual steps once we log in or come into the office.

It is easy to automate SAP by using Cloning and Metabot.

We can easily perform actions on a vendor-based tool that is specially designed for the Telecom industry or for database purposes.

Real-time mail notification is useful when reporting Bot status.

It definitely changed our approach; we automate repeated process steps using the simple GUI of Automation Anywhere's Bot creator, commands, and variables.

The Scheduling and Trigger features make Automation Anywhere fabulous in terms of unattended or independent automation.

We are showcasing our Automation potential to our clients. We offer them a cost and time-effective solution for repeated and time-consuming processes, which surely help a lot in terms of improving quality. It helps to exceed expectations beyond a predefined service level agreement. 

Once you create or paste the file/folder into a specific location, it will trigger the assigned Bot for execution.

We are getting the real-time status of the Bot, indicating whether it is successfully completed or failed.

The Mail notification feature also gives us the exact route cause of Bot failure using the Error Handling feature. It also gives a Snapshot of the error.

We can easily assign roles as Bot Creator, Bot Runner, Attended, or Unattended using the Control Room. We can also create custom roles as per our or clients' requirements.

We can smoothly monitor the status of the User, Bot Status, and many other metrics using the Dashboard feature in the Control room.

The time taken to execute a Bot through A2019 can be reduced. It takes time to upload Bots/Files once you click on Run, and it is difficult to wait while we are developing automations because deadlines are always a risk factor for developers. Code needs to be run code multiple times to achieve requirements shared by the client or team.

Migration from V11 to A2019 is difficult and needs more attention because it should be simpler.

They need to improve the  Object Cloning feature because it creates problems when the resolution is changed.

We have been using Automation Anywhere for more than three years. We started working on AA Version 10.X.

It is more stable than any other solution available in the RPA industry.

The scalability is tremendous and it is like a magical stick in your hand for automating repeated tasks.

Technical Support is always available and they help from scratch, trying to resolve each query.

We did not use another RPA solution prior to AA.

The initial setup was difficult but later, it gets easier in each progressive version released by Automation Anywhere.

We did not evaluate other products.

Automation Anywhere is most easy platform to learn about Robotic Process Automation and show potential of Automation.

We are using this product to automate various BPO processes, where the manual operation team currently does them manually in my project. The process we are currently working on has multiple applications and the API integrated, so we get details from the API and feed those into the front end application. We then process and update the status of the policy in another application.

The main interaction involves retrieving data from a set of applications and feeding it into other applications. Therefore, AA is mainly used for handling end-to-end processes that are compromised of all of the business validations.

This tool provides us with easy accessibility for adopting the new process, as it is more user- friendly. This is the main reason that we implemented this tool. Many new resources are able to grasp the tool and start doing the automation with ease, which is basically missing in the other vendors' tools.

In terms of adaptability, AA has a significant contribution. Most users can easily understand it. The support team is good and is able to resolve the issues or any challenges we encounter.

Actions are very much user-friendly, which we can easily use to proceed with development. The API connection is easy to incorporate and also has the ability to track the task status in the Orchestrator.

XML action commands and Excel commands are the ones we most frequently use in the real world processing of the policy. When we have features targeting those, it will be good enough for the majority of the process we automated.

All of the key action items have been easy to incorporate.

Sometimes the tool is timing out, which would be a good thing to have resolved.

It will be good if we have a framework that is created with the package, so we can leverage those for the multiple processes. As it is now, we create a base framework.

When we have more packages for each of the basic operations, it will be more user-friendly and easier to complete, rather than starting from scratch.

Ideally, when we have those packages we can leverage them for overall project development. Adopting the cloud platform will be more convenient, as opposed to depending on the on-premises setup.

I have been using Automation Anywhere for three and a half years.

Applications can be more effective with the development of bots that are affected less by changes in the object and environment.

The support team is good in helping with queries and issues that had held up the automation.

We used UiPath previously. AA is more user-friendly and adaptable such that anyone can learn and more easily understand how to incorporate it into the process automation.

The initial setup is not complicated.

I would rate the vendor installation team and eight out of ten.

I don't have the exact figures but it does provide ROI.

The setup cost depends on multiple factors, so you need to get details before choosing.

Version A2019 is available and will be adopting it in the coming months. We are looking forward to working on this new version.

We use it to automate repetitive tasks. When an employee logs into an organization and their work is mundane (doing a repetitive task), I personally feel that it will take a toll on their motivation. We have to do something better as human and it should be more creative. Any repetitive task has to be automated. This improves the morale of employees and will bring out a lot of creativity in them to make more decisions. This is how people start to innovate and how companies grow.

There was a particular use case where we had to automate a customer's email. This customer had a couple of customers to whom they have been writing for intern management. We needed to monitor the intern management emails and pick up the right keywords from the emails, automatically go to the CRM tool, and book a ticket for them. Then, we had to go back to the customer with the acknowledgement email. It was quite interesting.

Initially, there were some hiccups. They were not able to automate the regular chain of automation because of multiple API issues. Then, they thought RPA wold be a better solution and approached us. One of the interesting things was the data that they prepared for us was unstructured. Handling RP unstructured data was a bit hard, but we were using Automation Anywhere. We were able to find the right hot words because they were following certain patterns. We were able to find those patterns within emails.

Bot Insights is the most valuable feature. We don't have to struggle with generating metrics around how the bots are performing. This information coming out of Automation Anywhere is useful to us because of the way the metrics are generated. It inspires confidence in our customers. 

Version 11 is a bit heavy. At times, it takes a toll on the computing resources. It consumes a lot for computing power. We have seen multiple instances where computers or the client has crashed because of this particular problem. Automation Anywhere can improve this a lot. However, the A2019 version will be a lot lighter because it is all web-based. In the future, we expect to see lighter version, but for now, it is okay.

The features around holding and handling Excel data need to be improved. They need to be able to handle data tables, data variable, and Excel numbers.

They need more scripting integration.

It is pretty stable. The error handing features are pretty good. 

Scalability is awesome and on par, but they could do better.

The technical support has been brilliant and good. They have been quick to respond with the right answers, as much as possible.

Our customers get to know about RPA through multiple channels. They are looking to join the race. 

The push for RPA is usually from bottom to top in a company. Someone does research on RPA then needs to convince management. Afterward, they will contact us to run automation scenarios for them.

It is not a one click installation. We need to need to install the SQL Server, then we need to connect them all. This is where I think a normal agent wouldn't be able to do that. We need to deploy senior engineers to do this since it is slightly difficult. We had to train our IT guys on this.

Compared to the competitors who have a fast, swift installation, Automation Anywhere's installation is hard and needs work.

Our customers have better use of their manual resources. 

Costs savings have been seen by employing bots for multiple shifts instead of people. Bots are also more stable.

Automation Anywhere has better brand and marketing than its competitors. They have a lot of success stories from top level people from around the world, which is encouraging.

Go through the Automation Anywhere training modules to understand the tool. Developers should go through the developer training module while business analysts should go through the business training module. This will give you an idea of what Automation Anywhere can do and what it can't do.

The primary use case is automation in respect to the financial sector. We have been operating with trades across globe. 

Right now, we have been upgrading to version 11.3.2. Two months prior, we had been using version 10.7.5.

We have automated a few processes, which take four to five hours to do manually. When we automated these processes that time became less than one hour with RPA. This was our goal. We have reduced the time frame.

The best feature is the MetaBot, which we've been integrating and calibrating with a lot of stuff. This has been helpful to us.

I like the object cloning.

The development period is shorter.

It is easy to fix bug issues which you encounter in the post-production process.

MetaBot still needs to be optimized, though Version 11.3 did integrate all the commands into it. We are not able to see all the lines of code which are executed in MetaBot. 

Integrate .NET functionalities instead of installing Visual Studio, which is an additional resource to us.

Needs more Excel features and functionality.

We are moving onto Python machine learning and would like to have additional functionalities to be added, especially to MetaBot. This would help for the use cases that we are working on.

There are some discrepancies in respect to the variable creation of copying and pasting the code. However, in version 11.3, these type of disturbances has been removed.

The stability is up to 90 percent. It's not a meeting 100 percent because we keep on upgrading. Whenever we upgrade, we have to fine tune a few of the products because we have been interacting with some of the older applications and legacy parts. In those cases, it is somewhat failing. 

The application is very stable in respect to automation. I am able to automate the Terminal Emulator, along with the Linux part, of a command prompt, the web application, and even the simplest application. It has been stable. However, in few cases, it has some pitfalls and stability get reduced.

Scalability is up to the mark. We have been building our solution from the low to high level. It is scalable.

Technical support has been a great asset. We have been encountering migration issues associated with database activities due to computer database back-end. We have contacted the technical support with database issues due to object cloning and SAP Objects. They have been helpful.

Their response time is within one to two hours. In some cases, it has dragged on up to six hours. I haven't found it dragging on for one to two days.

We kept on hiring resources to do the same type of operations, which increased our team resources. So, our SLAs were not up to the mark. the client that we were supporting was not satisfied. Therefore, we pushed toward RPA to optimize a few areas, such as onboarding employees, company access, and reading invoices from the PDF files. 

The documentation is very clear in respect to the installation and migration. If there are any bugs or anything goes wrong, the technical support team helps. The installation and setup are very straightforward. It was very easy for us.

We have seen ROI as we keep on increasing bot utilization and building our own solution. We have optimized a few bots and integrated them into our solution. These bots have helped us prioritize our operations.

We are increasing our SME's time. Depending on the bots that we code, we are sometimes increasing or decreasing our developers' time.

We also evaluated UiPath and Blue Prism. Automation Anywhere is more flexible in development and production. The development timeline is short. 

UiPath has a lot of functionalities, but a lot of those functionalities can be replicated using MetaBot.

Blue Prism uses a workflow functionality, which seems like chaos to me.

I would encourage a developer to learn RPA and enhance their knowledge. If they start with Automation Anywhere, it will be easy to continue learning on the tool. It is harder to transition for another RPA tool to Automation Anywhere.

We're using it across a number of departments. So far we have implementations for finance and cost-control, as well as operational and logistics uses.

Our deployment is a hybrid solution. We have an on-premise component and some portions are in Azure.

We've implemented a few solutions that are helping us out in a couple of different dimensions. One of the big ones for us is cost-control. We've been able to identify certain billing errors and to dispute them or avoid overpaying in certain instances. It's helping us to improve both the visibility of the accuracy of the invoices we're receiving, as well as any instances where there might be disputed amounts. It's also allowed us, for certain tasks that have previously been repetitive or manual-data-entry heavy, to centralize and then automate them and reduce the number of actual employees we need on those mundane tasks. It's been very helpful for that.

The core functionality, the ability to automate these tasks and to interact, both with our own in-house software solutions as well as with our customers' and vendors' solutions and portals, has been incredibly valuable for us.

We're also beginning to dip our toes in the water with the IQ Bots, to do some OCR and some machine-learning. So far that is looking like it will be very valuable to us as well.

One thing about it that we have not found to be exceptionally useful are the built-in bot analytics, the Bot Insights. From our own extensive experimentation, as well as from what we've understood from other people using this solution, we've been able to come up with better solutions using our own in-house analytics and our own systems than through theirs.

Also, we're seemingly plagued with certain technological issues or bugs. In particular, at the moment, we're in the middle of a pretty serious issue that's blocking our further development. We have been working with the Automation Anywhere support team on it, but it's been dragging on for a while now and we still haven't received a solution from them yet. We're hoping to get that resolved and move forward. 

There's definitely some funkiness or some jankiness, sometimes, with working with them.

The stability has been mixed. In fairness, it's hard to say how much of that is issues with the solution itself, versus any issues that we may have had in the setup and integrating it into our own systems. It's definitely taken us a while to get to a point where we're comfortable with it being able to run consistently and smoothly. We've made a lot of progress in that regard and we're seeing a lot of improvements as well.

Our issues tend to be more on the development side. We've had pretty decent success once the solutions are fully developed and deployed, as far as stability is concerned. But, we have definitely encountered a lot of issues and hiccups along the road, while developing.

It seems pretty scalable. We're looking into scaling up in the near term. The pool seems pretty scalable and good to us from what we've seen so far.

We currently have six or seven processes that we've automated using Automation Anywhere and we're looking to increase that number quite a lot here in the U.S. We have a prioritized list of another 50 or so tasks that we'd like to try to automate with the solution. In addition, we're working to generate interest among some of our other agencies and countries worldwide, in using it.

Their technical support is good. Any issues that we've raised, they've gotten right back to us and helped come up with solutions. It has taken longer than we would have liked for some of our thornier problems to reach a resolution. At the moment we're a little stuck, based on a problem that we're having, although tech support has been responsive and has worked closely with us to try to come up with a solution.

This is the first RPA solution that we have used.

The initial setup was definitely complex. It took us and our IT teams quite some time to get everything set up the way we needed it, with our three environments. Part of that was getting the Control Room installed and set up, as well as making sure that the client was running properly on all of our machines. It definitely took us some time to get that all running smoothly, a few months to get everything deployed.

We're a global company and our U.S. offices have been running this as a pilot for global. We've been sitting with different departments and stakeholders to try and understand what processes might be right for automation and for this kind of solution. We've been compiling that list, prioritizing, and trying to get the buy-in of the people who will be most impacted by it. We've also been trying to get some early, big wins as far as ROI is concerned, and as far as demonstrating the value of the technology, so that we can continue to roll out more, here in the U.S. and, hopefully, more broadly later on.

It has all been done in-house.

We are definitely seeing positive ROI on this, between some cost reductions as well as some FTE replacement for the more repetitive or mundane tasks.

Licensing is done on a yearly basis. There are some additional costs beyond the standard licensing fees. There are a couple of add-ons we've looked at: The IQ Bot for OCR and machine-learning were add-ons, as well as the Bot Insights - the analytics.

We got The Bot Insights rolled in immediately, on a trial basis. The Meta Bots, if not immediately, we had added on very early on. The IQ Bot is something that we've been looking into recently. We have not yet purchased that license. We have run a PoC with it and are looking into adding that on.

We did evaluate other options but I wasn't directly involved in the initial screening process. I do know that we examined three or four other solutions before settling on Automation Anywhere.

The biggest lesson I've learned from using this solution is that nothing is as easy as it seems it should be.

One of the things a number of people are looking for out of an automation solution is a reduction in FTEs. I know Automation Anywhere would prefer we not describe its usefulness in those terms, but I know that's something that a lot of people are into. While it certainly can achieve that, the estimates going in tend to be very high and the reality is that you're not really hitting those numbers. So be very conservative when you evaluate it. It has absolutely been worth it for us and has provided us with good value. But the optimism going in - and I've heard this from other people we've met at the Imagine events, etc. - is over-optimistic and the actual numbers are less than what is estimated. Being realistic about that is very important.

Also, if you're using any kind of custom, in-house software, seeing how it interacts with that is important. It can be a little persnickety about interacting correctly, especially if it's an older, legacy system. It runs very smoothly across many different types of software and modern interfaces. But it can be a little challenging working with something that's a little older or more specialized and customized.

Currently, we have five to ten users, ranging from very much involved to just being onboard or peripherally involved. We have a number of developers directly using the technology, as well as project managers. Those are the people who are directly involved. The number is much larger if you include the business users who are impacted by the solution, impacted by the bots that we've created and their results. I would estimate, roughly, 50 users are benefiting from it right now.

In terms of deployment and maintenance, we're getting back to that five to ten people. We have four or five developers who are developing new bots. We have three IT people who are involved very directly in maintaining our servers and the virtual machines that we're running these on, as well as providing technical support for the overall infrastructure and setup. Those are the people who are directly involved at the nuts-and-bolts level.

It's been very helpful. In many ways it's doing what it says it can do. It's automating processes, it's got some good settings for controlling, running, monitoring, and maintaining that. On the other hand, our experience in actually developing with it and making the bots has been rockier than we would like. Also, the setup - getting the infrastructure and the installs set up properly - and updating, when updates roll out, are a bit complex.