Average Handle Time (AHT):
Formula, Benchmarks and How to Reduce It

What is Average Handle Time?

Average Handle Time (AHT) is the average total time an agent spends on a single customer interaction — including talk time, hold time, and the after-call work (ACW) needed to document and close the case.

AHT Benchmarks

Benchmarks vary significantly by call type, industry, and whether the call involves sales vs support. A 6-minute AHT on a simple telecom support call is too long; a 6-minute AHT on a personal loan origination call may be too short to complete required disclosures.

The AHT-Quality Tradeoff: What Most Teams Get Wrong

A call that lasts 3 minutes because the agent resolved the issue efficiently is excellent. A call that lasts 3 minutes because the agent cut off the customer is a disaster. AHT looks identical in both cases.

This is why AHT should always be tracked alongside FCR (did the issue get resolved?) and CSAT (was the customer satisfied?). An agent with low AHT, low FCR, and low CSAT is not efficient — they are creating expensive repeat contacts.

The 6 Real Causes of High AHT

• Agent knowledge gaps: Time spent searching for information while the customer waits. The fix is training and better knowledge base access, not telling agents to speak faster.
• Excessive hold time: Agents putting customers on hold to consult supervisors or systems. Reduces with better tool access and empowerment.
• Inefficient issue identification: Agents spending 3 minutes establishing what the problem actually is. Structured discovery and active listening training reduces this.
• Excessive after-call work (ACW): Manual call notes, CRM updates, and ticket creation taking longer than the call itself. AI transcription eliminates manual note-taking entirely.
• Unnecessary call transfers: Routing errors or departmental silos forcing customers to start over. Reduces with better IVR design and cross-training.
• Complex compliance scripting: Lengthy mandatory disclosures that dominate call time. For regulated industries, the solution is efficient scripting that meets compliance without padding, not skipping the disclosures.

How AI Transcription Reduces AHT

One of the largest contributors to AHT is after-call work — writing up call notes, updating CRM records, categorising the call. For many agents, ACW adds 2 to 4 minutes to every interaction.

AI call transcription automatically documents what was said, removing the need for manual note-writing. Agents who have call transcripts instantly available after the call can complete CRM updates in under 60 seconds — a 60 to 75% reduction in ACW time for many teams.