Use Cases of AI Virtual Agents
To understand what AI Virtual Agents are capable of achieving in your business, you need to explore potential applications. Here are some common examples of AI Agent use cases that help demonstrate the impact of AI on common customer service processes…
Identification & Verification
One of the most obvious use cases for AI Agents comes in the role of automating ID&V processes (also called Know Your Customer/KYC). This process is usually the first stage of every customer service call for the majority of enterprise organizations, though the actual details involved may be slightly different.
Virtually every call begins with ID&V to extract basic customer information, which is then checked against CRM systems or other backend software. Once authenticated, the customer can begin describing their actual issue and start getting the support they need.
The faster and more efficient you can make such a low-complexity task, the better for your teams and your customers. An AI Virtual Agent can quickly handle the entire ID&V process and then either hand the call back to a human agent or progress to solving the problem itself.
Order Tracking
For e-commerce retailers, ‘Where is my order? '/WISMO queries are among the most common customer service requests. AI Virtual Agents are the perfect way to handle these queries. They can ask customers to submit any information needed to trace the order, check backend systems, and then either update the customer about the order’s status or take further action, such as expediting a delayed delivery or processing a refund.
Customer Service Agent
Thanks to the dynamic nature of Agentic AI, you can now deploy AI Virtual Agents to act as frontline customer service agents who take care of every aspect of a customer’s call. These agents can communicate in 100+ languages and offer fast, personalized responses to customer questions. Once they identify a need or problem, they can resolve it or alert a human agent and route the call to them.
Call Wrap-up
Every second of your human agent’s time is valuable. The faster a human agent can move on from one case to the next, the more cost-efficient they are. Though you need a way to keep summaries of every case, tasking human agents to create them is an inefficient idea that eats time and money.
An AI Virtual Agent can quickly automate the necessary wrap-up stages at the end of each call, creating a case summary in whatever format you need that your human agent can simply review, edit, and accept before progressing to their next case.
Analysis & Reporting Agents
AI Agents aren’t solely tasked with resolving customer problems. They can also be applied to internal analysis and reporting tasks to simplify existing processes or even spot new opportunities. For example, an AI Agent can read all of your case histories and analyze patterns and user sentiment to make recommendations for future improvements.