What is Average Handle Time (AHT)?

Last Updated September 22, 2026

Average handle time, or AHT, is a contact center efficiency metric that measures how long it takes to handle an interaction from the agent's perspective. For voice, it commonly includes talk time, hold time and after-call work. For digital channels, the exact components vary based on how the platform defines active handling and wrap-up.

AHT formula

A common voice formula is: AHT = (total talk time + total hold time + total after-call work) ÷ number of handled calls.

For chat or messaging, organizations need a platform-specific definition because agents may handle concurrent conversations and some messaging interactions remain open asynchronously. Document the calculation before comparing teams or periods.

What AHT does and does not tell you

How to reduce AHT responsibly

  • Improve intent-based routing so customers reach the right resource earlier.
  • Give agents unified access to customer context and knowledge.
  • Reduce slow or duplicate authentication and data entry steps.
  • Use real-time agent assistance for complex procedures.
  • Automate interaction summaries, disposition and repetitive after-call work.
  • Fix processes that create unnecessary holds and transfers.
  • Move appropriate routine tasks into effective self-service.

Avoid the 'shorter is always better' trap

AHT is easy to measure, which can make it easy to over-optimize. Pressure to end interactions quickly can increase repeat contacts, transfers and customer frustration. A longer interaction may be efficient if it resolves a complex issue completely.

Pair AHT with first-contact resolution, repeat contact, quality and customer effort to understand whether time is being used well.

AHT for service desks and support teams

The same concept applies in service desk environments, but ticket complexity varies widely. Segment AHT by incident type, priority or resolution path. Time spent on investigation can be productive if it prevents rework or escalation.

For asynchronous channels, use additional measures such as response time, resolution time and active handling time rather than forcing voice-oriented AHT definitions onto a different workflow.

How AI changes handle time

AI can reduce search time, suggest next steps, retrieve relevant knowledge, summarize customer history and automate notes. Interaction analytics can identify the specific call stages associated with longer handling. The strongest programs measure whether those time savings also improve or preserve resolution and quality.

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