Benefit Claims Processing

Build an end-to-end agentic Benefit Claims process — BPMN modelling, IXP document extraction, three AI agents, human validation, and email notification.

Overview

Agentic orchestration, implemented in Maestro, lets you coordinate long-running enterprise processes between humans, robots, and AI agents working across different systems of record and systems of engagement. You design, implement, monitor, operate, and optimize those processes, then run them at scale.

In this exercise you'll implement a Benefit Claims use case from the government sector — the structured procedure citizens use to request financial or service-based assistance, such as pensions, social assistance, or unemployment benefits.

Step	Focus
Create BPMN process	Model the end-to-end process on the BPMN canvas
Setting up the Solution	Create the agentic automation solution that implements the process
Configure a Robot	Add an RPA automation that uses IXP to read the application PDF
Residency Verification Agent	Build an agent that checks the declared residency against known records
Income Verification Agent	Build an agent that checks the declared income against known records — generated using a coding agent and UiPath skills
Eligibility Determination Agent	Build an agent that decides eligibility using internal guidelines
Configure human validation	Present the agents' conclusions for a case worker to approve or deny
Configure API integration — Benefit Approval	Notify the applicant when the claim is approved
Configure API integration — Benefit Rejection	Notify the applicant when the claim is rejected

Training Environment

Log in at cloud.uipath.com/tpenlabs and remember using tenant AgenticWorkshop for this exercise.