Average Handle Time (AHT)
The average total time a support agent spends on a customer interaction, including talk time, hold time, and after-call work — a key contact center efficiency metric.
Average Handle Time (AHT) is the average total time a support agent spends on a single customer interaction from start to finish, including talk time, hold time, and any post-interaction work completed after the conversation ends. It is one of the most-tracked — and most misused — efficiency metrics in contact center operations.
What Is Average Handle Time?
Average Handle Time (AHT) is the average total time a support agent spends on a single customer interaction from start to finish, including time spent talking with the customer, time the customer spends on hold, and any post-interaction work (case notes, follow-up tasks, CRM updates) the agent completes after the conversation ends.
AHT is one of the most-tracked efficiency metrics in contact center operations. Lower AHT generally means agents are handling more contacts per hour, which translates directly to staffing efficiency and cost per contact. But AHT is also one of the most misused metrics in customer service — optimizing for it in isolation, without tracking quality outcomes, is a common and costly mistake.
How Is AHT Calculated?
AHT has three components:
| Component | Definition |
|---|---|
| Talk time | Time the agent and customer are actively in conversation |
| Hold time | Time the customer is placed on hold during the interaction |
| After-call work (ACW) | Time the agent spends on documentation, CRM updates, and follow-up tasks after the interaction ends |
Formula: AHT = (Total Talk Time + Total Hold Time + Total After-Call Work Time) ÷ Total Number of Interactions
Note on ACW: After-call work time is frequently excluded from AHT calculations, which makes benchmark comparisons misleading. Always specify your definition when benchmarking.
AHT Benchmarks (2025)
Global Average
The most widely cited industry average for talk + hold time is 6 minutes 3 seconds to 6 minutes 10 seconds. Including after-call work, one study found an average of approximately 11.6 minutes — an 18% year-over-year increase, reflecting rising interaction complexity.
AHT by Industry (2025)
| Industry | Benchmark AHT |
|---|---|
| Retail / E-Commerce | Under 2 minutes (target for simple contacts) |
| Airlines | 3–5 minutes |
| Telecommunications | 2–4 minutes (simple); higher for complex billing/technical |
| Financial Services / Banking | ~6 minutes (hold time 2–3 min); complex cases higher |
| Healthcare | ~6.6 minutes |
| Technology / IT Services | Above average due to issue complexity |
Sources: Sobot 2025; SQM Group 2024
Why AHT Matters — and Where It Gets Misused
Why It Matters
Staffing and capacity planning: AHT × contact volume = required agent hours. It’s the fundamental input for workforce planning. A 1-minute AHT reduction across 100,000 annual contacts eliminates approximately 1,667 agent-hours.
Cost per contact impact: AHT is the primary driver of human agent cost per contact. Agents handling shorter interactions at scale bring per-contact costs down across the board.
Where It Gets Misused
Pressuring agents to rush interactions creates lower First Contact Resolution (FCR) — customers whose issues aren’t fully resolved call back, and a repeat contact is more expensive than a slightly longer first interaction. It also drives higher Customer Effort Scores and increased escalations.
The rule: AHT should always be tracked alongside FCR, CSAT, and repeat contact rate. A low AHT that comes with low FCR is not a win.
What Drives High AHT
Searching for information: Agents who have to hunt for order details, policy information, or customer history during a live interaction add minutes of dead time per call. A unified customer view eliminates this.
Excessive hold time: Most holds exist because the agent needs to find information or check a policy. AI-powered knowledge surfacing reduces hold time significantly.
Lengthy after-call work: Manual case notes and CRM updates add 2–5 minutes of wrap-up per interaction. AI that auto-generates call summaries and populates CRM fields can cut ACW by 50–80%.
Routing to the wrong agent: A contact that reaches an agent who isn’t equipped to handle it triggers a transfer and adds significant AHT. Intelligent, intent-based routing reduces mismatch rate.
How to Reduce AHT Without Hurting Quality
CX leaders may want to reduce average handle time, but pressuring reps to do so without a clear strategy is a recipe for diminished customer experiences. This list will help you reduce AHT without harming the quality of service.
1. Surface customer context at the start of every interaction. If an agent can see a customer’s full history the moment a conversation opens, they skip the information-gathering phase.
2. Use AI to assist agents in real time. Reps using AI spend 20% less time on routine cases — freeing an estimated four hours per week.
3. Automate after-call work. AI that auto-generates conversation summaries and populates CRM fields removes the manual wrap-up window. This is one of the fastest ROI levers for AHT reduction.
4. Invest in knowledge management. A well-maintained, searchable knowledge base that surfaces the right article for the current issue type is a direct AHT intervention.
5. Route based on intent, not just channel. Intelligent routing that identifies what a customer needs before assigning an agent ensures the contact lands with someone equipped to resolve it.
6. Deflect simple contacts to AI agents or self-service. Moving tier-1 volume to AI changes the composition of the human queue — when AI handles simple contacts, human AHT shifts upward but cost per contact and CSAT can both improve.