Optimize your CSR's time with Copilot and AI Agents

When discussing AI Agents for Customer Service, people often tend to think of AI as a replacement for human staff. However, the reality goes far beyond that. To adapt to a changing environment where technology is advancing at a rapid pace, it is crucial to understand the benefits of these innovations and learn how to use them to our advantage. That is why we must make the most of AI in Customer Service.

In this article, we will talk about how Copilot and AI Agents are revolutionizing the way CSRs interact with customers, optimizing their time, and enhancing service quality.

The Impact of Copilot on Call Centers

Copilot AI acts as an intelligent assistant for CSRs, providing real-time information, automating repetitive tasks, and helping diagnose and resolve issues more quickly and effectively.

Its impact translates into:

1. Reduced resolution time: Agents can drastically reduce response time by analyzing the customer's query and suggesting answers or solutions instantly.
   
   
2. Lower cognitive effort for CSRs: Copilot automates routine processes, allowing CSRs to focus on more complex and personalized interactions.
   
   
3. Onboarding optimization: New human agents can access a live assistance system that guides them in real-time, reducing the learning curve.
   
   
4. Consistent responses: Ensure that all customers receive information that is accurate and aligned with company policies and procedures.
   

AI Agents: The new era of Customer Service Automation

In addition to Copilots, AI Agents play a key role in optimizing customer service. These AI solutions act as strategic allies to CSRs, handling recurring inquiries and providing real-time information. This allows CSRs to focus on other interactions, enhancing operational efficiency and the customer experience.

At Schaman, we have taken this technology to the next level with a specialized intelligent agent approach designed to solve specific problems. Within our ecosystem, the standout agents include:

• TBR Agents (Troubleshooting-Based Resolution): Diagnose and resolve technical issues automatically.
• Execution Agents: Execute specific actions without requiring prior diagnosis.
• Open Target Agents: Handle open-ended queries with flexible and context-aware responses.