Automation Anywhere Reviews

We use Automation Anywhere to automate websites and extract data from them.

Automation Anywhere helped us automate human tasks.

The learning curve is quite shallow.

Automation Anywhere has helped our organization by working around the clock, allowing us to rely on robots instead of humans. We no longer have errors, or if we do have some problems, we are informed. It is easy to implement and monitor the processing part of the software.

Cloud-based Automation Anywhere provides automation at scale with ease.

The integration of RPA bots, APIs, business applications, and documents in Automation Anywhere is good.

Automation Anywhere has helped our organization increase our automation consumption.

The best features are the ease of use, the short learning curve, and the good support from our local partner.

The quality and speed of Automation Anywhere's support needs significant improvement. We are not satisfied with the quality of support.

I have been using Automation Anywhere for two years.

It is stable.

Automation Anywhere is scalable.

The technical support is not good. They are slow and the level of support is poor.

Neutral

We tried using Blue Prism for one of our projects but ran into a lot of complications when we tried to implement it ourselves. We found Automation Anywhere much easier to implement.

We had an enablement package, which we could start using because Automation Anywhere turned it on automatically. We did not need to set it up ourselves, as it was only for bots running in our environment. It was not difficult.

The price for Automation Anywhere is reasonable.

We also evaluated UiPath, which has similar quality and features to Automation Anywhere. However, we chose Automation Anywhere because we had someone in our organization who was familiar with it. Blue Prism is significantly inferior to both UiPath and Automation Anywhere.

I would give Automation Anywhere an eight out of ten.

API is our first choice whenever possible, but it is not always feasible, depending on the use case. Sometimes, we need to perform additional process steps beyond simply calling an API. In such cases, we may consider using an RPA tool, such as Automation Anywhere, especially if we do not have an API.

Typical maintenance is required. If we get new versions of bots, we need to update Automation Anywhere. However, the cloud services are maintained by Automation Anywhere itself, so we don't have to worry about that.

I recommend looking at IQ Bots, a very good and easy-to-use intelligent document-processing feature. I also advise taking the quick training available online and trying to build a simple but real process on their own. There is also a community edition that anyone can use, so it's easy to start with that to try out Automation Anywhere.

We are a biotechnology company. We are in healthcare. We receive samples, and we need to do some of the entries. We did a PoC through Automation Anywhere. Our objective was to improve accuracy and reduce manpower.

We were able to 100% achieve our objectives. There was an increase in accuracy, and there was also a reduction in manpower. The bot reduced the manpower required. We could reduce nearly 40 members through this project in Automation Anywhere.

Automation Anywhere has helped our organization increase its automation consumption. Earlier, we did not have any automation for the labs to increase accuracy and reduce manpower. We have now achieved the same with Automation Anywhere. We have done about 60% automation. We have used it only for the lab. We are planning to use it for the marketing team, call center, and all other departments.

It improves accuracy and reduces manpower. It is easy to learn. We trained our lab people, and they were able to achieve accuracy with the technical knowledge. 

I would like it to have AI and ML capabilities.

The support can also be better. It can be faster.

I have been working with Automation Anywhere for the past two years.

There is 99.5% stability. It is very stable.

It is scalable. With a robust infrastructure, if the sample size increases, we can scale on an on-demand basis.

We plan to increase its usage. We are planning for the lab expansion. During the lab expansion, we will also increase the licenses.

After the execution, we need to have service and support. Sometimes, there is a lag in the support. We are running labs 24/7, but when we raise a ticket, they are able to call and fix the same only on the next business day. For this reason, we have planned high availability for the RPA bots in the case of any incident. We are managing through that, and we have also highlighted the concern about the service and support. They also plan to work on it.

Neutral

We did not use any other solution.

The initial setup was handled by the business owner and IT. It was done by our partner. It requires technical skills. We need to have a workflow. If we have a clear workflow, we can easily implement the same with the partner.

We provided hands-on training for Automation Anywhere through our partner. In the first phase, it took us at least three months to train the lab operations team and other teams supporting the project. We parallelly created a document for the initial phase. All the people who are now being onboarded use that document. They are able to support the bots without any additional training.

We did the implementation with the help of our partner. They first understood the workflow of the healthcare sector and our architecture. After that, they planned the solution for us. It took them a minimum of one month to understand all those things, and then we did the PoC.

They have also done the integration with the lab software. It took them nearly four to six months for integration and report generation.

In the first year, we got 20% to 30% ROI. In the second or third year, we got the complete amount that we invested. There is also an improvement in the business because of data accuracy.

It is not cheap, but we are able to get an ROI. I would rate it a seven out of ten in terms of pricing.

There are no costs in addition to licensing, but we had to pay our partner for one-time implementation.

We also did a PoC with UiPath and other solutions. We chose Automation Anywhere because we could get significant ROI with Automation Anywhere. Its accuracy and costs were better than others. We have purchased the bot with Orchestrator.

You need to have a good partner to assess the performance and get the best solution. 

Overall, I would rate Automation Anywhere an eight out of ten.

We are the implementer and sales partner of Automation Anywhere. We have implemented hundreds of business processes for clients in the banking, insurance, and manufacturing sectors. We use Automation Anywhere to help our clients automate routine tasks.

Automation Anywhere can be deployed on the cloud or on-premises based on the client's requirements.

Programmers with good logical thinking will find the learning curve of Automation Anywhere to be relatively easy. Non-programmers can also learn to automate parameter configurations with relative ease, but they may find it more difficult to automate tasks that require customization or workflows.

Automation Anywhere has helped our clients' organizations during the lockdown period in the last two years, from 2020 to 2021. Our clients who were using automation were very happy because the bots could run while the people were away. We were able to control the bots remotely and scale their businesses. In fact, there are several use cases where we implemented solutions solely for scaling purposes. Our clients used to receive millions of records that needed to be processed within a defined time frame, which was not possible manually. This is where the RPA solution using Automation Anywhere came in. It allowed them to scale up their businesses. One particular use case that I still remember is the insurance for farmers' crops. Farmers need to be issued crop insurance policies within a given time frame, as the crop cycle is typically three to six months. This needs to be done well in advance, and India is a large agricultural industry with millions of partners. The scale of this process is huge. There were some complications involved in this process. For example, we had to connect to bank accounts to verify whether payments had been received, and then connect to the insurance system to issue the policies. Even though I am simplifying it, there were many complexities involved.

It can provide our clients with scalable automation to a certain extent. However, as the processes become larger, the optimization decreases and the performance suffers. This is because of the scaling and the processing that needs to be done. To address this, we also use open-source programming to do the processing outside of the RPA tool and then call those libraries from within Automation Anywhere.

It has many connectors, so we can easily integrate with other applications.

Automation Anywhere has helped our clients increase their automation consumption. For one of our banking clients, we automated 85 percent of their processes, significantly reducing the amount of human involvement and only requiring human interaction in the approval process.

Automation Anywhere is fully configurable. It has several commands that can be used to configure the parameters, and it is easy to use.

Novice users are able to automate basic applications using Automation Anywhere. Business processes are more complex and require experts to be brought in to automate. The automation process can be made more user-friendly.

I have been using Automation Anywhere for eight years.

I give the stability of Automation Anywhere a nine out of ten.

I give the scalability of Automation Anywhere a nine out of ten.

The technical support is good. They stay within their SLAs.

Positive

We have used Automation Anywhere and UiPath, and in one place, we have also used Power Automate. We find Automation Anywhere and UiPath to be very easy to implement. Both products have a lot of features and are configurable. We can connect to any specific data source, such as Oracle Finance or Salesforce, through an API, or we can do desktop automation using either tool. Power Automate also allows us to connect to various data sources for automation. However, it is mostly cloud-based, which is not ideal for our banking and insurance clients. They prefer on-premise solutions. Power Automate does offer an on-premise solution, but it only supports desktop automation. For workflows, we need to use the cloud-based solution. This is a limitation of Power Automate. In terms of cost, Power Automate is much cheaper than Automation Anywhere and UiPath.

Assuming that the infrastructure is in place, the deployment of the Automation Anywhere components, which include the controller, parts, and studios, can be completed within a maximum of five days.

Automation Anywhere is generally more expensive than Power Automate, but they may offer a better price for large volume consumption. 

On a scale of one to ten with ten being the most expensive, I rate the price of Automation Anywhere an eight out of ten.

I would rate Automation Anywhere ten out of ten.

API integration is a good thing. However, it takes longer to implement than RPA. Once implemented, API integration can execute tasks faster. The cost of API automation is higher than RPA because it requires specific programming by experts.

Automation Anywhere itself does not require maintenance. Only the processes need to be maintained, as they may need to be updated to reflect changes in compliance requirements, government regulations, or the underlying systems. Additionally, patches to the Automation Anywhere software may sometimes cause changes to the processes, which may require maintenance. We currently have 150 processes, and two experts are able to maintain all of them.

I have been using A2019 for validating IC reports and scorecards that we publish every month for the client on a portal. As the reports are around 200, it used to take a lot of manual efforts previously to get this done, however now, A2019 has helped in automating the complete validation part. 

Apart from this, the other major use case is validating the child level reports with the parent. Though the underlying reports are generated from the parent itself, validating individual reports just to add another level of the quality check was a tedious task initially, however, A2019 has made it very easy in comparing the two excel based reports end-to-end

Automation Anywhere, specifically A2019, has helped me and my organization in automating the tasks related to quality checks and assurances. As a consulting firm, it is really important to provide correct insights, reports, and deliverables to the client and it involves a lot of QC checks and validations. A2019 has helped us in automating a major chunk of such tasks, thus helped in saving a lot of time, effort, and revenue. There are trainings going on every now and then, to spread the knowledge and access of this tool to other folks in the organization, so that more number of people would be able to implement this in their projects

The best part about A2019 is its ease of use. You don't need to be a coding champ or an expert to use and implement A2019 in automating tasks. It's very easy to learn, tweak, and implement in your day-to-day tasks, especially features like capture/record is completely marvelous. Apart from these, the Excel basic and Excel advanced features are really handy and easy to use. I personally have used them frequently in all my bots as most of my work is related to excel and stuff. Last, but not least, using A2019 for automating the tasks even on the virtual machines, which is one of my favorites.

One of the challenges that I face every now and then while working with A2019, is around the bot agent updates. Every week/alternate weeK, I receive an error while running my bots, that asks me to update the bot agent. I have to download the bot agent every time and reinstall it, in order to get the work done. This thing has also created an issue for me in the past, where I need to present something to my US counterparts, and then the bot was unable to run because the bot agent update notification came few minutes before the meeting. This was really frustrating at that point in time, however, fortunately, I got that resolved within minutes during the meeting by updating the bot agent. Hence, I believe, there should be some facility available, which can help me in running my previously implemented bots, even if there are some updates in the bot agent

I recently got involved in A2019 training organized within my organization as part of motivating folks for Automation. It's been around six months that I have been using this as a part of my day-to-day work.

I have been using this for the past six months and have been already utilizing this for my day-to-day work. The level of involvement of A2019 for me is increasing as time passes, as now, I see things from a point of view, where I try to automate major chunk of my work using this.

This can be used to any level of tasks/processes as it allows the bots to communicate within. This helps in automating major tasks into smaller bots and then coordinating them together to automate the complete process.

I used to have connections with Automation Anywhere folks every week/alternate week and I must say that they were highly professional and learned people. They always guided me before even implementing something and made me aware of all the nuances. Overall, I am really happy to get in contact with such folks, who not even helped me in shaping my imagination for automation, but also showed directions by demonstrating their example bots.

I have a little experience of working on Blue Prism in my previous organization. However, Automation Anywhere is far better it in terms of features and ease of use and implementation.

For me, the setup was quite straightforward. Yes, I did take some online help to get some issues resolved, however, the overall process was pretty easy.

I implemented it in an in-house setup. This has really become a part of my organization's work as the Business Operations vertical is using it very frequently.

I invested around 2-3 weeks in learning this and creating my first bot. Then it took me a week to use it for targeting parts of my day-to-day work. And now, I am using it for the past 6-7 months without any investments and saving a lot of effort on a weekly basis.

The costs are just a one-time cost, but the amount of savings it will generate is uncountable. So it's better to invest in something now, learn and start saving your time, effort, and money in the future.

One of the options was the level of features present in Automation Anywhere. It allows both back-office and front-office bots to automate. However, in the other case, only back-office bots can be automation. I personally like the UI and the overall features present in A2019 and level of ease, with which this can be implemented to any application.

The only con is the frequent updates in the bot agent every now and then. This annoys the user at times and (s)he may land up in some trouble due to this, as the bot would be able to run without installing the updated bot agent.

We are in the retirement industry. We use it for application-based automation. We are trying to mimic our operations to redundant business users' tasks, like clearing claims and loans.

We are using version 10.7. We are currently trying to upgrade to version 11.3.

We use Bot Insights. Business users utilize Bot Insight dashboards to get analysis.

In the 10.7 version, the back-end port for the MetaBot password has looping. This has been a type of limitation. Now, we are upgrading and integrating the Control Room, which is a validating feature.

I would like them to add OCR features. This would help us deal with unstructured data and we can get more data out of images.

I would like to see more features related to artificial intelligence. 

The latest version is more stable. We have mostly legacy applications. We do interact with Automation Anywhere support for patches and DLLs which are compatible with our legacy applications. Maybe after our upgrade, we can expect more stability.

In couple of months, we are looking to upgrade. We have set up our environment for integrating in AWS into our architecture. We are setting this up now and planning to install Automation Anywhere 11.3 to see how it is.

It is scalable. Since we have only had it one year, we are still looking into the scalabilty factor.

The technical support is good. They are knowledgeable and don't waste much of our time. They are quick in resolving things by identifying the exact root cause. 

We try to resolve the issue from our side first because we are trained in the product. It is only when we can't solve the issue that we contact support.

The initial setup is straightforward, except when setting up with cloud-based services, like Amazon. The cloud-based setup process is complex.

Automation Anywhere came in and helped set up the tool for us since it was initially new when we onboarded it.

It has saved us a lot of hours, manual effort, and we can focus on more important tasks, which helps us with our ROI.

We purchase on a bot basis. Our costs are approximately $5,000.

There are a lot of vendors out there, like Blue Prism and UiPath. However, A2019 offers cross platform and single point, which is why I would recommend Automation Anywhere.

I have been very impressed with the A2019 version. This version is phenomenal. 

Our primary use case is to automate all the back-end processes, which are accounts receivables, accounts payable, automatic settlement, and a lot of processes in the supply chains. Afterwards, we move onto the front-end transactions.

It provides, not only hard benefits, but also soft benefits. This means to leave the human capital (which they are required to do); leave the human mind free of all voluminous repetitive tasks. Let the workers do the work that they are intended to do, which is thinking. The bot can work for you. There is no comparison to the human mind. 

The customer engagement is really deep, and they work with the “gemba”. They work with operations very closely. I also believe they have a good product roadmap. 

I’ve already mentioned the future of our human mind and thinking are limited. We only think in arithmetical progression, not GP.  So, I have no answer for this.

When you scale up, like on Proof of Value (PoV), it’s okay. You can have one full, dedicated person working on the site. However, when you scale up, and imagine there are 150 people including bots in an organization of 20,000 people, then they need to be loved and cared for (every single one of them). They will need much more support, because it is a new thing and it’ll never fail because of productive partners. It will fail if people on the “gemba” don’t adopt it.

We are in the Proof of Value stage, not proof of concept. Like any business, production lines, or bots, there will be outtakes that you’ll have to deal with and build up.

If you ask me, my personal belief is you can’t even begin to imagine what you can do.  You can imagine, but you are limited by your own imagination and thinking, so you can go exponentially. 

On a scale of one to ten, Automation Anywhere would be a seven to eight.  

From my point of view working in the market and examining at it, this market needs more skill sets. This market needs more bilingual people and some more process-oriented people who can understand the business processes and help the customers grow.

Every industry has its own unique business processes, but this market is short on labor, even in skills, and also in terms of people who can articulate the value of process automation. That is a value piece from Automation Anywhere’s side. These guys need to build a good team.  

There were five big criteria:

1. Cost. 
2. Features and functions. 
3. Global and local support. 
4. Customer service. 
5. Technical support. 

In our office, there was a full team with a full process and close to 10 to 15 people from procurement, technology, business, and also “gemba”, as I keep calling operations. They went into the evaluation and had a very scientific way of doing so. 

There was another partner who we felt was very close, but the edge was the customer service and the support. That was the edge.

It was very easy and simple.

We brought in a partner. However, it was very easy the way things, and if someone has moved in the industry and business processes, they can do it. It was not that difficult at all.

Of course, yes, we have seen ROI. Especially in this market, human capital is valued in an ageing society. If you don’t find skilled people, who’s going to do the job? If you remove the neutrality of people and build it through the bots, that is the best way to do.

For my company and me, we come from a good technology company. Every company is a technology company. Without technology, you cannot live. When you are building up your back-end processes, especially in the shared services, what next?

In the Asian markets, they have come to a point of maturity where labor is the normal average. Looking at China, the Philippines, Malaysia, or even India, these markets are becoming more exponentially expensive. Therefore, what is our next wave of forward industrial evolution? To me, these digital automation RPAs going into artificial intelligence and machine learning are the areas of industry that we’ll need to move into very quickly. We need to take a very conscious call in preparing ourselves for the future.

Did we try some other solutions, to that extent, of automating the right business processes? I don’t know. 

Was the solution good or bad? I don’t know. 

But the perceived value of it, either in terms of real value or dollar value, or in terms of releasing the sources to do better thinking work, those are the areas where personally I was not convinced. So, let’s try something which has a more futuristic outlook. I call it glocalization, globally present and locally present. That was the whole idea behind our inception into reality.

The moment you say you are a vendor and looking at your contract, your relationship is over. You want business partners who can help the industry. We know how to make beverages, and for example, we make the best. I hope so, and I’m confident. We need some partners who know their stuff as well, and who understand the pain points of the industry and can help with them. Those are a couple of criteria which can make you successful partnerships and business relationships, not a vendor.

I would rate this product an eight.  

If I fast forward two to three years. At that point in time, how would it look like? Maybe we have the same amount of enthusiasm, or if it we become very big, then we may become less agile. If you are small, you are more agile. The moment you become big, it goes into its own dimensions.

I’d would advise, first of all, if you are an end user like me, don’t think of yourself as a customer. You have to see your customer as your “gemba”, as the people in operations. Your product partners, implementation partners, and you are responsible for servicing the customer. Thus, it will always be a win-win game for everyone. Don’t try to put a blame on the product or the partner. You are all equally responsible, and need to put your skin in the game. Just go ahead for it. 

Foreign Language: (Japanese)

この製品を主にどのように使用していますか？

我が社の場合の主なユースケースはまず、自動バックエンド業務全般です。これは通常APつまり未払金と売掛金、それにサプライチェーンの多くがあります。後はフロントエンドコミッションです。

Automation Anywhereのどんなところに満足していますか？

顧客関与が非常に深く、彼らは現場でよく働くと思います。 業務部と密接に協働してくれます。それに製品ロードマップが良いと思います。

では、彼らと築いた関係に満足しているということですね。

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？

はい、後で話しますが、大きな点の1つはハードメリットだけでなく、ソフトメリットでもあります。つまり、実際にすべき仕事に人的資本を使うことです。それは少なくとも人間の精神を大量の反復作業から解放することにつながります。彼らがやるべき仕事をする。ボットは私達のために仕事をしますが、人間の頭には及ばないと確信しています。

 には考える力を発揮させる。

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？

それはまだです。まだ価値実証の段階で。実証実験を多く行っています。でもどんなビジネス、どんな生産ライン、どんなボットでも同じように対処して構築しなければならない支障はあります。

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？

それはまだです。まだ価値実証の段階で。実証実験を多く行っています。でもどんなビジネス、どんな生産ライン、どんなボットでも同じように対処して構築しなければならない支障はあります。

Automation Anywhereのテクニカルサポートを利用しなければいけなかった経験はありますか？ある場合は、サポートをどのように評価しますか？

はい。 10が最高の評価とすれば、彼らは7から8ですね。

10に達するには、何が必要ですか？さらなるサポートですか？

私の見解では、この市場は－私はこれまで様々な市場で働いてきましたが－この市場にはさらなるスキルセットが必要です。より多くのバイリンガルの人々、そしてビジネスプロセスを理解して顧客の成長を助けるプロセス指向の人々が必要ですね。

具体的な例を挙げると？ ビジネスプロセスやスキルセットについて？

どんな業界にも独自のビジネスプロセスがありますが、この市場は明らかに労働力が足りません。労働力が足りない上、スキル、それにプロセスの自動化の価値を明確に表現できる人がいません。ですから、Automation Anywhere側からの価値観で言うと、彼らは良いチームを確立させる必要があると言います。もっともっと。

もちろんです、はい。でも 拡大の余地はあります。急激に進めるための余地、そして急激に進めるなら、パートナーも同時に成長する必要があります。生態系全体が成長する必要があるので、ビジネスが成長するだけでなく、生態系が成長しなければサポートも難しくなります。

Automation Anywhereからのサポートを直接受けていますか？

そうです。直接…名前は言いませんが、製品部で指導を受けたパートナーがいました。というのは、製品を最大限に活用するためには、全機能を探索する必要がありますので。

初期セットアップはどうでしたか？簡単、それとも複雑でしたか？

とても簡単でシンプルだったと思います。

自分達で、それともパートナーを使って？

パートナーを連れてきましたが、そのままでもとても簡単だし、ビジネスプロセスで移動したことのある人になら誰にでもできます。全く難しくはありません。

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？

すでに言いましたが、人間の思考の将来は限られています。私達はGPではなく、自動化の進歩で考える。だからこの質問への答えはありません。

現在のバージョンで改善されると思いますか？

まだ完全に見れていないので、改善に関して答えるのは難しいです。

スケールアップをすると、価値実証でのように、現場で働く専任スタッフを1人増員することはできますが、その場合、規模を拡大して2万人の組織内でボットを含む150人がいるとします。その一人一人が親身なケアを受ける必要があります。そうすると、もっともっと沢山のサポートが必要となります。というのもこれは新しいものであり、失敗すれば、これは生産パートナーのせいではなく、現場の人間がそれに適応しないからなのです。

ROIは出ていますか？

もちろんです、はい。言うまでもなく。この市場では特に人的資本が少ないです。高齢化社会で熟練した人がいない。なら誰がその仕事をするのでしょうか？ そこで人の中立性を取り除いて、ボットを使って構築するのです。それが最善の方法でしょう。

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？

私自身そして我が社は素晴らしいテクノロジー会社を経て来ています。先ほど申し上げたように、このテクノロジーについては後でお話しますが、会社はすべてテクノロジー会社です。テクノロジーなしでは生存はできないし、特に共有サービスにおいてバックエンドプロセスを構築するなら、必要なものは何でしょうか？アジアにおけるこれらの市場では、労働が通常平均という成熟の地点に実際に達しています。中国、フィリピン、マレーシア、もしくはインドを見てください。これらの市場は急速に高価になってきています。では今後の産業革命の波は何か？私の思うには、これらのデジタルオートメーションRPは、人工知能、機械学習へと移行します。これらは非常に迅速な移行が必要となる分野です。 そこで私たちは未来に向けて意識的に自分達自身を準備する行動を取ったのです。

以前に別のソリューションを使っていましたか？その場合はどうして変更しましたか？

これまでにいくつかのソリューションを試しましたが、適切なビジネスプロセスを自動化したかどうかは分かりません。そのソリューションが良かったか悪かったかも分かりません。でも、本当の価値、あるいはドル価値のどちらかの観点で認識した価値、またはより良い働き方をするために情報源をリリースするという観点から言えば、私個人的にはあまり納得していませんでした。なので、より未来的な見通しのあるものを試そうと思ったのです。私はそれをグローバリゼーションと呼んでいます。グローバルに存在し、ローカルに存在することなので、これが発端から現実までの背景の全体像です。

他のベンダーも検討しましたか、それともAutomation Anywhereだけでしたか？

12のパートナーから選出されたプロセスから始めました。

ベンダーを選ぶ際、決め手となる、その他の条件は何ですか？5つのうちトップの2つはどれですか？

違う答えをしたいと思います。まず彼らはベンダーではなく、ビジネスパートナーです。なのでその定義は違うと思います。彼らが、自分達はベンダーだと言い、契約を見始める瞬間、私達の関係は終わりだと思います。欲しいのは業界に役立つことのできるビジネスパートナーなんです。例えば、私達は飲み物を作る方法を知ってるとします。最高の製品を作っている。私はそう思うし、確信もしています。ここで必要なのは自分達の製品に精通していて、業界の支払いポイントを理解し、助けてくれるパートナーです。こういったことがベンダーではなく、成功するパートナーシップやビジネス関係を作るための2つの条件でしょう。

Automation Anywhereを選んだわけは何ですか？

条件を決めていました。5つの大きな条件が。もちろん、コスト。まず、特徴と機能。 グローバルおよびローカルサポート。3つ目はもちろんカスタマーサービスです。そしてもちろん、テクニカルサポート。私たちのオフィスは完全なチームがあり、完全なプロセスがありました。 調達、技術、ビジネス、そして私が「現場」と呼び続けている運営からの10〜15人近くが非常に科学的な方法で評価を行っています。 非常に密接だと感じていたパートナーがいましたが、決め手は明らかにカスタマーサービスとサポートです。それが最重要です。

Automation Anywhereについて、その他に付け足すことはありますか？

いいえ、何もありません。皆さんのご清栄をお祈りすると同時に、Imagineを東京デビューさせてくれた彼らに感謝します。彼らはロンドンへ行き、ニューヨークに行き、今ではインドにも進出したことを知っているので、うまくいけば私たちの市場はこれから持つべく相互作用から恩恵を受けることでしょう。

製品、サポート、環境の全体に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？

8

特定したものではないです。2、3年時間を早送りしたとしたら、どうなっているでしょうか？同じだけの情熱を持っているか、もしかしたらとても大きくなっているかもしれない。だとしたらアジャイル性を失います。小さければもっとアジャイル性があります。大きくなった瞬間に自分だけの次元に入ってしまうんですね。

このソリューションあるいは同様なソリューションを探している、同社あるいは他社の同僚の方に、どんなアドバイスをなさいますか？

まず、私のようなエンドユーザーであれば、自分を顧客とは考えないことです。自分の顧客を現場の人として、運営の人として見る必要があります。 製品パートナー、実装パートナー、そしてあなたは内部にいる顧客にサービスを提供する責任があります。だから、これは皆が勝つことのできるゲームです。製品やパートナーに責任を被せてはいけません。皆で同時に責任を負い、ゲームを進めるべきです。

We are supposed to produce 40,000 components of shells for bayonet caps. Forty thousand caps are required in each shift, which means it comes to about 120 caps per minute. For that purpose, we make use of the vibrating feeder and inserts for all the shoots. We also had composite tools to perform various operations. The additional components, which are supposed to come on the rotary table, were also finished and brought to the table. The shell gets placed from the vibratory feeder on top of it. There are two operations: hot white glass falls into it, and as soon as it falls, it goes to the next position, where it gets molded. The molding shape takes place.

Actually, we are supposed to produce 40,000 components of shells for bayonet caps. Forty thousand caps are required in each shift. That means it comes to about 120 caps per minute. Automation is going to become a new area we will certainly encourage a lot of people to pursue because of the lasting dividends it provides, including saving time and manpower.

I have not come across them. Automation Anywhere is a company that keeps sending their literature very often. I possess it, and I am getting good information through them.

Normally, I go through a lot of journals that provide a lot of information on automation. Practically, I have done a lot of work, which gives me the confidence that I can handle any type of automation.

You only give instructions to them regarding what is required. You explain to them.

AI is also supporting now. Most people are into AI because of the benefits we get, and it enables changes required through AI easily. It offers a lot of cost benefits and enables faster productivity. Normally, there are specific people we use to contact, who actually do the automation. No, I cannot decide a rating right now.

We use it for P2P, AP, O2C, AR, inventory management, finance and general ledger, and HR.

Moving forward, we see opportunities to operationalize AI within our organization for loss cash discounts, payment term mismatch, credit blocks for vendors, duplicate invoices, accounting entries, and invoicing in SAP.

By implementing Automation Anywhere, we wanted to achieve productivity and decrease the complexity of the processes. The key issue has been the complexity. RPA is not meant for complex processes. When a process becomes complex, we face a lot of errors. That creates slowness of processing, some interactions at critical moments, and frustration in the business because the job is not done. As an alternative, we have to work manually.

We built many complex bots, and that was not the best strategy. It is better to simplify and then automate, and not automate to avoid simplification. When you take this wrong approach, you have to deal with many technical issues, and you are not able to leverage and benefit from the other tools as part of the automation itself. In the business roadmap of an RPA project, there should be some reporting or dashboards of bots' portfolio so that you can see the percentage of successful processing, the rate of failures per bot, and the rate of exceptions. There should also be something to measure the return on investment to be able to say that this bot is meeting expectations and productivity. It was worth it to invest in this bot, and it costs less than manual work. If the bot is always facing issues, it will be better to come back to manual processing. We should not move from manual to automation without thinking about simplification. We need to simplify first and then automate.

We have a centralized infrastructure, but we have a decentralized business strategy. We gained 60% productivity, which is at a high level.

Automation Anywhere is easy to use for business users who do not have tech skills, but first, they need to be able to play the role of business analyst. You should not have many points of contact. You should have a single point of contact, which we call SPOC, and this person should be a business analyst. This single point of contact should collect all the requirements and needs and be able to communicate them in a structured way in order to enable the solution team to tackle the points. It is easy if the person who is supposed to do it follows the learning of the business analyst and is able to speak English. We have English speakers because we are in a multinational group. They should also have a minimum level of experience in IT or in general business. If the training is intensive, it takes three months to train non-technical employees on Automation Anywhere usage.

The RPA automation itself is valuable. We are not using the other components that are part of the platform much because we want to first stabilize the platform, the environment, and the infra.

It could be improved in terms of the global analysis of all the issues caused by the dependency components. For example, if bots are running on virtual machines on Microsoft Windows 2019, sometimes an issue might come from the virtual machine. Automation Anywhere should work closely with Microsoft or any other editor with which there are some issues occurring and stopping the bots from running properly. They need to collaborate together to enhance and improve the platform and the dependencies. It should not be that because the problem comes from Microsoft, Automation Anywhere does not tackle the issue. They should tackle the issue even when they are not responsible 100%. Microsoft or any other editor should work with Automation Anywhere.

I would like them to include process mining.

I have been using Automation Anywhere for three years, and I have been using UiPath for two years.

I would rate it a five out of ten in terms of stability because of the issue of dependency components, such as Microsoft components.

I would rate it a seven out of ten in terms of scalability.

Their support can be improved in terms of understanding the issue more deeply and involving enough resources based on the criticality or urgency of the issue. They should involve the right resources and the right number of resources. If we need an architect, they should bring us an architect. If we need an engineer, we should have an engineer in front of us. They should provide the right person at the right time.

Neutral

I have worked with UiPath. The move to Automation Anywhere was not my choice. It was a group choice.

We have a hybrid cloud. The implementation is easy if you are business-oriented, you first tackle simple use cases, and you involve all the teams. The complexity is always there, but to have less complexity, it is important to ensure these three elements. 

We include people from development, monitoring, management of development and monitoring, central IT management, and central business management.

In terms of upgrades, it is difficult to upgrade Automation Anywhere. The upgrades of Automation Anywhere are sometimes not adapted to the clients. They sometimes choose to upgrade the platform during a critical period, such as accounting month-end closing. It is definitely not the right moment to launch the upgrade. Automation Anywhere sometimes pushes general upgrades during critical periods. The best will be to take into account the constraints of the clients in order to not make it difficult for them.

In terms of maintenance, if the bots are running 24 hours a day, you need three people or at least two people for monitoring. The upgrade of bots requires one developer.

You get a return on investment only after 18 months. You can get 50% savings.

It depends. For example, for my group, we are centralizing the infrastructure in Paris. Our contract is signed with Automation Anywhere in France. The currency and the pricing of Automation Anywhere in France can appear beneficial and interesting for Germany and Scandinavian countries, but when we share our infra and are internally charging other countries such as Poland, Brazil, or some other country with a lower currency value as compared to Euro, it becomes less beneficial. They would prefer to sign the contract directly with Automation Anywhere because they will benefit from a price that is as per their local market.

The price works well for France, but it becomes a bit complex when you centralize it for all the countries or groups. In the international context, you have to propose something a little bit tailored for some countries, such as Romania or Brazil.

When it comes to automation and AI, I always think about being business-oriented. Always start with the needs of the business and do not automate just for automation. You have to think about relevant use cases and also scalable use cases. In a multinational group, it is important to not think individually. This way you can collaborate more and reuse more things. You can reuse the components that have already been built. It is also economical.

Each center of automation should have a governance plan. The governance plan should be very precise, and it should expand the roles. Each stakeholder should know what to do, when to do it, and how to do it at each cycle or phase. After that, you should come to the functional and technical aspects. Without a governance plan, nothing is possible.

Overall, I would rate Automation Anywhere a seven out of ten.