Last updated: 2025-10-27
This guide outlines best practices for assigning Freddy AI Copilot licenses to support agents, leveraging analytics to optimize license allocation and improve operational efficiency.
Overview
Freddy AI Copilot is a powerful tool that can significantly enhance agent productivity and customer satisfaction. By strategically assigning licenses based on performance data, you can maximize their impact and ensure that the right agents receive the support they need.
Leveraging Analytics for License Assignment
Analytics plays a crucial role in identifying the agents who would benefit most from Freddy AI Copilot. We will focus on the following key metrics to inform our decisions:
1\. Identify Agents with High Incoming Ticket Volume
Agents in this category are likely overwhelmed and struggling with a high volume of tickets. Freddy AI Copilot can provide invaluable assistance by automating routine tasks, suggesting responses, thereby helping these agents improve their compliance and efficiency.
Step 1: Access Analytics
Step 2: Open the Agent Performance Report

Step 3: Edit the Metrics

Step 4: Apply the Changes
Step 5: Visualize the Data
Step 6: Identify Key Agents

2\. Identify Agents with the highest average first response time
Agents are already performing well under pressure. Freddy AI Copilot can further empower them by enabling them to handle even complex cases or to maintain their high performance with less effort, potentially freeing up time for training or mentoring.
Step 1: Open Analytics
Step 2: Access the Agent Performance Report
Step 3: Navigate to the Time Tab

Step 4: Review the Data
Step 5: Edit and Simplify the Metrics

Step 6: Visualize the Data
Step 7: Identify Target Agents
License Assignment Strategy
The following table outlines a suggested strategy for assigning Freddy AI Copilot licenses based on the analytical insights:
| Agent Profile | Freddy AI Copilot Assignment ratio | Rationale |
| High Ticket Volume | 80% | Enhance existing high performance, potentially increasing capacity and efficiency. |
| Highest Average First Response time | 20% | Maximize impact on operational efficiency and better Customer experience with faster FRT |
Conclusion
By adopting a data-driven approach to Freddy AI Copilot license assignment, we can ensure that this valuable resource is allocated effectively, leading to improved agent performance, higher SLA compliance, and ultimately, enhanced customer satisfaction. This guide serves as a living document and will be updated as we gather more insights and refine our strategies.