Average handling time (AHT) is the mean duration of a customer service interaction, measured from the moment the interaction begins to its conclusion, including any hold time, transfer time, and post-interaction documentation. It is one of the most widely tracked operational metrics in customer service.

AHT = (Talk time + Hold time + After-call work) / Total interactions handled

AHT has historically been a primary efficiency metric for contact centers, used for workforce planning, cost modeling, and agent performance evaluation. A lower AHT means more interactions handled per agent per hour, which directly affects staffing costs.

However, optimizing for AHT in isolation creates perverse incentives. Agents who rush through interactions to hit AHT targets may sacrifice resolution quality — transferring customers instead of resolving their issue, providing incomplete answers, or skipping verification steps. This is why modern CX organizations increasingly pair AHT with quality metrics like first contact resolution and customer satisfaction.

In the context of AI-handled interactions, AHT takes on a different character. AI agents can handle multiple conversations simultaneously and don't experience fatigue, making raw AHT less meaningful as an efficiency metric. More relevant is whether the AI resolved the customer's issue completely in the interaction, regardless of duration.

• That said, AHT remains useful for:

• Workforce planning: Forecasting staffing needs for human-handled volume

• Complexity analysis: Identifying which issue types take longest to resolve and may benefit from automation or process improvement

• Channel comparison: Understanding relative efficiency across chat, email, phone, and AI-handled interactions

Related terms: first contact resolution, cost per resolution, resolution rate