UiPath Agentic Automation is solving the problem of fragmented, manual decision-making processes that depend heavily on human intervention, especially in repetitive but judgment-based tasks.

For example, in a fictional retail company, customer service agents were overwhelmed handling refund requests. Each request required checking purchase history, validating return policies, assessing fraud risk, and deciding whether to approve or escalate. This process was slow, inconsistent, and prone to human error.

With UiPath Agentic Automation, intelligent agents now handle the entire workflow. The agent reviews the request, gathers data from multiple systems, applies business rules, and uses AI to assess edge cases. Simple cases are approved instantly, while only complex or suspicious ones are escalated to humans.

As a result, the company reduced response time from hours to seconds, improved decision consistency, lowered operational costs, and allowed human employees to focus on higher-value interactions instead of repetitive tasks. Review collected by and hosted on G2.com.