Agentic Automation helps with all use cases where a person gives unstructured input, such as a person wants to know where his order is or why his account was debited 300 dollars. To cater to all the use cases where inputs and outputs are not fixed, we use Agentic Automation.

Recently, we have been exploring manufacturing use cases, invoice dispute finding, three-way matching, and HR onboarding. We are also trying to automate the end-to-end underwriting flow in insurance.

I use Agentic Automation for level one support, understanding all the issues raised by the client and providing responses to them, fixes to them, and prioritizing them better.

The use cases for Agent Builder involve an automation that we're currently working on for our owner relations department. They receive a ton of emails asking about various information about their ownership, or maybe needing to pass off their interest to a family member, or they've sold their interest. So this agent will receive those emails, get the context of that email, get the sentiment, and be able to route that email to the correct person or department that needs to handle that request. So it could be a revenue question, it could be a land question, it could be all sorts of different questions.

Our main use cases for UiPath Platform are trying to automate as many processes as we can through our company to improve productivity and to reduce mundane tasks for our organization.

Currently, my main use cases for UiPath Platform are working on Agentic. Previously I have worked on multiple RPA processes, be it finance, sales, or airport operations. My use cases and the department processes I have automated with UiPath Platform Agentic Automation are from the airlines industry, such as seat assignment and refunds for now.

Our main use cases for UiPath Platform are mainly back office revenue cycle tasks, including claim statusing, prior authorization, notice of admission, and denials, which is a big one that we're working on now. Another process we're looking into is credentialing. We have a few use cases in the pipeline that we're looking to tackle next year, which include Agentic AI or Agentic Automation capabilities such as Agent, Builder, Orchestration, testing, or Autopilot.

By leveraging Agentic Automation, we achieve outcomes such as reducing service requests by 50%, which saves about 3,000 service requests and frees up employees to work on more value-add activities.

I am exploring the platform on the Agentic side. I was working on a use case where I wanted to extract meaningful data from a chunk of error messages. I used Maestro for that and it was working very well, so the user can easily correlate with the actual issue.

I have developed several Agentic AI processes using UiPath Maestro, and everything has worked well.