What is our primary use case?
We have had a number of different use cases for Automation Anywhere. As a higher education institution, many of the use cases have been for back office operations.
Some use cases include automating expense reimbursement processes. This involves the submission of data after collection, validation of data, and several different steps in that process.
We are exploring invoice reconciliation and invoice processing as a new use case. Many of the other use cases have been system-to-system data transfer where they don't have APIs, which has been accomplished through UI automation and RPA.
How has it helped my organization?
We chose Automation Anywhere to investigate the feasibility of using RPA in place of dedicating other team's time for developing custom APIs between systems. We wanted to tackle problems that we couldn't dedicate resources to solving with custom in-house development and bridge the gap between third-party external software.
The governance guardrails built into the Automation Anywhere platform have allowed us to develop solutions at a pace while adhering to our internal organizational policies.
What is most valuable?
The scalability of Automation Anywhere, the framework, and user interface are particularly impressive. When evaluating Automation Anywhere versus alternatives such as UiPath for RPA specifically, their tool works exceptionally well. Their customer support model has been fantastic at resolving issues. Security and infrastructure are other significant components why we continue to use them.
The actual tools on the RPA side have been very nice to work with. When onboarding members of our team, being a lower-code platform with much of it being no code, it has been good to bring people up to speed. It's easy to bring both people from developer and non-developer backgrounds up to scale. Our developers have applied standard SDLC principles towards working within that platform.
With agentic process automation, there are several challenges we were looking to solve. GenAI infused document automation has been of great interest to us, especially in invoice processing for our financial side. With APA in particular, some use cases involve taking complex processes that could have large decision trees, and instead of dedicating time and resources towards fleshing out all those if/then statements or pushing exceptions to human middle processing, we aim to lower that scope and allow for quicker delivery time.
The Composer orchestration tools have been great in developing new solutions. Automation Anywhere started as a pilot at our CMU, where we are at the forefront of numerous computer science areas. It's part of our CTO's mission to embrace automation tools, artificial intelligence, and robotic process automation, bringing internal processes into the 21st century and beyond.
Automation Anywhere helps us overcome challenges in the age of GenAI. The platform has solved our initial challenges as we transition from being a pilot to a long-term customer. With GenAI, challenges revolve around use case identification and implementing AI in processes while ensuring governance and protecting sensitive information, government information, and student information.
AI governance and data protection are extremely important for our company. We are currently reviewing the Autopilot capability and evaluating document automation with AI capabilities for new solutions.
What needs improvement?
As we expand our components of the Automation Anywhere platform that we utilize, we need better connections between them. Currently, our shell framework, metrics, logging, and guardrails are done at an RPA or Bot level. As we take advantage of other features such as work queues, process Composer, and AI agents, we would prefer to see features around offering frameworks around those models or domains specifically that can encompass all of the subset features that Automation Anywhere offers.
Bot Insight is an available feature, and we can create our own custom metrics and logging in RPA Bots, but we don't want to have to send results to a logging subset bot after using an AI agent or higher components such as document automation. We need a native way in Automation Anywhere's framework to tie all that information together, including AI dashboard, governance dashboards, and document automation results.
For how long have I used the solution?
We have been using Automation Anywhere for about two and a half to three and a half years.
How are customer service and support?
Their customer support model has been fantastic at resolving issues.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
In the RPA space specifically, we have not used any other solution that addresses similar needs before using Automation Anywhere.
For internal technologies prior to implementing RPA, we had various solutions. For table-based and database-based operations, users were using spreadsheets.
We are now able to convert certain things to databases, even without native APIs for certain software platforms, because we can leverage Automation Anywhere to bridge the gap between disconnected systems. In the specific landscape that Automation Anywhere competes in, we haven't used direct competitors.
We have been replacing software developer adjacent technologies, custom script solutions, and low code/no code platforms with different features from Automation Anywhere.
How was the initial setup?
Standing up the service itself had no significant challenges. There were a few small challenges, however, nothing significant that were nonstarters for us. Our teams were able to work around any issues. The biggest thing we had was was enabling SAML authentication to work with our identity management services.
Other than that, standing up the service, connecting the host controller to our local VMs, etc., that was easy. There was a little bit of network stuff, and some of DevOps stuff. Thankfully, we have a great DevOps team. Working with Automation Anywhere is largely straightforward and seamless.
What's my experience with pricing, setup cost, and licensing?
We have been happy with the pricing, setup costs, and licensing of Automation Anywhere so far. There is sticker shock with many new features, however, we definitely think that the end results can more than justify the cost. We are evaluating the use case and the resources needed to stand up solutions using some of these features.
The cost versus return for the traditional out-of-the-box features has been very reasonable.
Which other solutions did I evaluate?
Since the evaluation phase, we have not considered other solutions that do the same as Automation Anywhere. We have been extremely happy with Automation Anywhere. The tools provided for the cost, scalability, robustness, and infrastructure have been very satisfactory, and we have not had a significant need to evaluate alternative platforms.
This may not stay that way forever as this is an ever-changing landscape, but for the foreseeable future, we don't see ourselves evaluating alternative platforms.
What other advice do I have?
On a scale of one to ten, I rate Automation Anywhere a ten.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other
Disclosure: My company does not have a business relationship with this vendor other than being a customer.