Use Case 2: Streamlining HR Onboarding with UiPath's Agents and Robots

Agentic Automation Agentic Use Cases
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Hi UiPath team,

First, I want to express my appreciation for this Agentic Automation channel. As a Solution Architect with limited expertise in AI, I’ve found the resources here invaluable in helping me explore the concept of Agentic AI. This led me to dive into materials like Agentic AI and LangGraph from Andrew Ng and other sources to better understand its potential.

That said, I’d like to share my thoughts on a couple of posts shared here, which didn’t align with my expectations of Agentic AI.

Based on my understanding, the key characteristics of Agentic AI are:

  1. Stateful
  2. Nonlinear
  3. Robust

In this context, the use case discussed seems to fall outside the scope of Agentic AI and could potentially be implemented using existing frameworks.

The closest relevant use case I see in UiPath’s work related to Agentic AI is the “UiPath for Everyone” product. I believe this could evolve into a more comprehensive Agentic AI framework, particularly for complex Attended automation scenarios, rather than being a standalone product.

Here are a couple of ideas for what I imagine Agentic AI could achieve:

  1. HR Recruitment Automation:
    An AI agent could analyze job seekers’ emails, extract relevant information, and decide which UiPath tools/functions to invoke (e.g., Document Understanding, Communication Mining, Action Center). Another AI agent could then determine the next steps, such as progressing the application or initiating a query via email or Action Center which restarts the state.
  2. Bank Reconciliation:
    An RPA robot could extract account data from multiple bank statements, perform rule-based reconciliation, and forward unresolved items to an AI agent. This agent could decide whether to query the information from specific internal applications (using function calling of the RPA robots) or escalate to Action Center. Meanwhile, another AI agent could validate both rule-based and semantic-based reconciliations before finalizing the process, furthermore, it decides whether the process should restart the validation state with reviewed result.

These are just preliminary ideas, and I’m not entirely sure how feasible they are for automation. Nevertheless, I’d love to get more clarity on the vision for UiPath Agentic AI and how it can deliver measurable cost and time savings compared to the competitors’ solutions.

Thank you for your efforts in advancing automation, and I look forward to learning more.

Cheers,
Azeem

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