How to Reduce Average Handle Time: 10 Fixes You Can Try Today

Key Takeaways

• AHT is reduced more effectively by removing friction than by shortening conversations. Long hold times, unnecessary transfers, slow knowledge searches, and excessive after-call work can add more avoidable time than the conversation itself.
• AHT should be evaluated alongside resolution and quality metrics. A lower average handle time can be offset by higher repeat contact rates, more transfers, or unresolved issues. FCR, repeat contacts, CSAT, and QA scores provide important context.
• AHT targets should be set by contact reason. Password resets, billing disputes, and technical troubleshooting require different amounts of work, making a single target for the entire contact center difficult to apply effectively.
• The largest sources of friction should be addressed first. Knowledge lookup and customer context affect hold and talk time, routing affects transfers, and unnecessary wrap-up requirements increase after-call work.
• Agent productivity can be improved through better tools, clearer decision rights, and more consistent processes. Customer context, intent-based routing, defined escalation rules, and standardized call flows can reduce handle time without relying on rigid scripts.
• AI can reduce the time spent on verification, knowledge lookup, and after-call work. Agent assist, AI intake, and automated call summaries improve efficiency, but poor handoffs and inaccurate outputs create additional work.
• Efficiency is better measured by resolution than by contact time alone. Handle time per resolution helps show whether an AHT reduction actually reduces the work required to resolve an issue or simply shifts that work to a later contact.
• AHT improvement requires ongoing analysis by contact reason and agent group. Changes in AHT, repeat contacts, quality scores, and customer feedback can be used to identify process, training, routing, and self-service improvements.

Lowering average handle time sounds simple: get customers through calls faster and bring the average down. The problem is that a lower AHT doesn’t necessarily mean a better operation. If agents rush calls, transfer difficult contacts, or leave more work for later, the number can improve while customers still feel unheard.

That tension is becoming more important as contact centers are pushed to improve efficiency while maintaining customer satisfaction. According to a recent Gartner survey, 91% of customer service leaders feel pressure from executives to implement AI, with customer satisfaction and operational efficiency among their top priorities. At the same time, AI is changing how teams think about productivity. A study of 5,172 customer support agents published in The Quarterly Journal of Economics in May 2025 found that an AI conversation assistant increased issues resolved per hour by 15% on average, with a 30% increase among less experienced agents.

The lesson is that reducing AHT isn’t about making agents talk faster. It’s about removing the work that makes calls longer than they need to be, from searching for information and putting customers on hold to transferring calls and completing unnecessary after-call work. The goal is to make each contact more efficient without creating another contact later.

This guide breaks down 10 practical ways to reduce AHT by the component you’re trying to improve. You’ll see how to identify what’s actually driving your handle time, which fixes to apply to hold time, transfers, talk time, and after-call work, and which metrics to track alongside AHT so you don’t mistake a faster call for a resolved one.

What Average Handle Time Measures and How to Calculate It

Average handle time (AHT) measures how much time an agent spends handling a customer interaction from start to finish. For voice calls, that includes three components: talk time, hold time, and after-call work (ACW). Looking at those components separately matters because two teams can have the same AHT while spending that time very differently.

For voice calls, AHT is calculated by adding total talk time, hold time, and after-call work, then dividing the total by the number of calls handled.

Voice AHT = (Total talk time + Total hold time + Total after-call work) ÷ Total calls handled

The calculation changes slightly by channel because not every interaction has the same type of work associated with it. The table below shows what is typically included.

A simple example makes the calculation easier to see. Say, a team handles 1,000 calls in a week, with 5,000 minutes of talk time, 1,000 minutes of hold time, and 1,500 minutes of ACW. That adds up to 7,500 minutes of handle time across 1,000 calls, resulting in an AHT of 7.5 minutes.

AHT is most useful when it is compared with the right context rather than a generic industry benchmark. Contact mix, product complexity, channel, and customer needs can all change the amount of time required to resolve an interaction. A telehealth intake call, for example, involves very different work from a retail order-status call. For that reason, historical AHT should be reviewed by contact reason and tracked alongside metrics such as first contact resolution and repeat contacts. Our guide to call center performance metrics covers how AHT fits into a broader contact center scorecard.

Why Causes AHT to Rise?

High AHT often has less to do with how quickly agents work and more to do with the systems and processes around them. A difficult-to-search knowledge base, scattered customer information, unnecessary transfers, or lengthy wrap-up requirements can all add time to an interaction.

The table below connects common causes to the part of AHT they affect and the patterns they tend to create in contact center data.

Notice that only one of these causes points directly to agent skill, and even that is closely tied to training and the tools agents have available. Call center quality assurance reviews can help identify which issues are affecting performance most. When a call center outsourcing partner manages the operation, these causes should also be reported by contact reason so recurring sources of high AHT can be addressed at the process level.

Why AHT Alone Can Be Misleading

AHT measures the time spent on a contact. Customers experience the time it takes to get a problem resolved. When calls are rushed, AHT can fall while repeat contacts increase, shifting part of the work into another interaction.

One way to make that tradeoff visible is to look at handle time per resolution:

Handle time per resolution = AHT × (1 + repeat contact rate)

Repeat contact rate is the share of contacts from customers who reach support again about the same issue within a defined window, such as seven days. The calculation assumes a repeat contact takes about as long as the original contact, so it should be treated as a directional measure rather than an accounting figure.

The following hypothetical example shows how the metric can reveal a problem that AHT alone would miss.

Both changes reduce AHT by one minute. In the first scenario, however, the higher repeat contact rate offsets the reduction, leaving handle time per resolution slightly higher than at baseline. In the second, AHT falls without a corresponding increase in repeat contacts, so the total time needed to resolve the issue also falls.

If handle time per resolution stays flat or rises for two reporting periods while AHT continues to fall, that contact reason may need a closer review before its AHT target is reduced further. Follow-up until resolution practices and first contact resolution (FCR) can help show whether the lower AHT is actually producing better outcomes.

10 Ways to Reduce Average Handle Time

The most effective AHT improvements usually come from removing specific sources of wasted time. The 10 fixes below cover hold time, transfers, talk time, after-call work, and avoidable contacts, with a metric for measuring the result of each one.

Cut hold time

1. Rebuild the knowledge base for live-call lookup

• Reduces: Hold time
• How: Rewrite the most-used articles as short decision trees. Tag them by product, issue type, and customer language, using the terms customers actually use rather than internal jargon. Assign an owner and quarterly review date to each section. Our tips on getting more out of the knowledge base cover the structure in more detail.
• Measure: Average hold time per call and holds per call, broken down by agent tenure.

2. Put customer context on one screen

• Reduces: Talk and hold time
• How: Bring order history, account status, and past tickets into the agent desktop. Have the customer record appear when the call connects so agents don’t have to start by asking for information your company already has.
• Measure: Time from call connection to the first resolution step.

3. Verify callers before they reach an agent

• Reduces: Talk time
• How: Move identity checks into the interactive voice response (IVR) system or an AI intake assistant, then pass the verified record to the agent. A Helpware healthtech client used an AI assistant to confirm a member’s name, date of birth, and account ID before transfer, cutting 40 seconds from each call (23%).
• Measure: Talk time for verified versus unverified calls.

Cut transfers and repeated explanations

4. Route calls by intent and skill

• Reduces: Talk and hold time caused by transfers
• How: Capture the reason for the contact up front, then route the call to the team with the right skills to resolve it. Separate general support from specialized support so complex issues don’t have to pass through an unnecessary first step.
• Measure: Transfer rate and AHT for transferred calls.

5. Give agents clear decision rights and escalation rules

• Reduces: Hold time
• How: Set the dollar and policy limits agents can approve themselves, such as refunds or fee waivers up to a specific amount. Define which situations require escalation and who handles them.
• Measure: Supervisor-approval holds per 100 calls.

6. Standardize the call flow, not every word

• Reduces: Talk time
• How: Train agents to follow a consistent framework: greet, confirm the issue, diagnose, resolve, recap, and close. Reserve word-for-word scripts for compliance statements and other situations where exact language is required.
• Measure: Talk-time variation among agents handling the same contact reason.

Cut after-call work

7. Automate call summaries and dispositions

• Reduces: After-call work
• How: Generate a draft summary and disposition code from the transcript, then let the agent confirm or edit it. Send the approved fields to the CRM automatically instead of requiring agents to enter the same information again.
• Measure: Average ACW per contact and summary accuracy in QA reviews.

8. Keep only the wrap-up fields that are actually used

• Reduces: After-call work
• How: Review every required ACW field and ask the teams that use the data which fields they actually need. Remove the rest. Where the same answers appear repeatedly, replace free-text notes with picklists.
• Measure: ACW as a share of total handle time.

Cut avoidable long contacts

9. Deflect repetitive contacts with self-service and dynamic macros

• Reduces: Contact volume across all three AHT components
• How: Automate answers for the highest-volume, simplest contact reasons and use dynamic macros for the rest. An American fashion brand working with Helpware combined AI-powered responses, skill-based routing, and a re-tagged knowledge base, cutting AHT by 53% from 8.5 minutes to 4 minutes. CSAT reached 90.75% with no added headcount. Automated customer service covers which types of contacts are good candidates for automation.
• Measure: Deflection rate by contact reason and CSAT for deflected contacts.

10. Coach from top-performing calls by contact reason

• Reduces: Talk and hold time
• How: Identify agents with low handle time per resolution for each contact reason. Use their calls as coaching examples and pair newer agents with experienced performers. The QJE study cited above found that AI-assisted agents with two months of tenure performed as well as unassisted agents with more than six months of tenure.
• Measure: Handle time per resolution by agent cohort.

Where AI Cuts AHT and Where It Adds Work

AI can reduce the time agents spend searching for information, typing notes, and completing routine verification. At the same time, greater use of self-service changes the work left for agents. When simple contacts are handled by self-service, the remaining interactions tend to be more complex, which can push AHT higher even when the operation is becoming more efficient.

AI can also introduce new sources of work. Long or inaccurate suggestions can slow agents down, failed verification can create another step, and poorly designed bot handoffs can force customers to repeat information. The table below shows where common AI applications can reduce AHT and where additional work can appear.

The most common problems on the right side of the table can be addressed by preserving customer context throughout the handoff and keeping human oversight in place. This is especially important when AI is used for customer-facing interactions or decisions that affect the resolution. For a wider look at the technology, see our overview of the AI call center.

Common AHT Mistakes That Can Backfire

AHT can improve on a dashboard while the underlying customer experience gets worse. The problem usually comes from optimizing the number in isolation rather than looking at what caused it to change.

Set AHT Targets by Contact Reason, Not One Number

A single AHT target can hide important differences in the work agents handle. Order-status questions may take a few minutes, while billing disputes or technical troubleshooting can require investigation, additional verification, or escalation.

A more useful approach is to set a target range for each major contact reason and pair it with a guardrail metric. The example below can be adapted to the contact reasons and performance data in each operation.

Review these ranges periodically as the contact mix changes. When a simple contact reason moves to self-service, for example, the remaining assisted contacts may become more complex and their AHT may rise without indicating worse performance.

The guardrail should reflect the outcome that matters for each contact reason. Repeat contact rate, FCR, escalation rate, error rate, and CSAT can all show whether a lower AHT is actually producing a better result. The existing customer experience metrics can provide a broader view, while our explainer on what makes a good customer satisfaction score covers CSAT in more detail.

How Helpware Helps Contact Centers Reduce AHT

Reducing AHT isn’t about pushing agents to end calls faster. It starts with finding out why calls run long, fixing the friction behind those extra minutes, and making sure the improvement doesn’t come at the expense of resolution or customer experience.

That’s how we approach AHT at Helpware. Across 400+ client programs, our teams combine contact center operations, AI, quality assurance, technology, and process improvement to address the causes behind high handle time, not just the number on the dashboard.

• Run the operation: Our outsourced call center teams handle inbound and outbound voice across 45+ languages, with multilingual customer support for global operations.
• Use AI where it removes real work: Our AI customer service programs combine chatbots, voice AI, agent assist, and QA automation. This leads to good results. For example, for a healthtech client, we implemented an AI intake assistant that verified a member’s name, date of birth, and account ID before transferring the call to an agent. The result was 40 seconds less handle time per call, a 23% reduction.
• Protect the quality of every minute: Our quality assurance outsourcing teams look at speed alongside resolution and customer experience. Helpware CX maintains a 90% CSAT, so efficiency isn’t treated as a goal on its own.
• Fix the technology behind the workflow: Our Zendesk services team built the routing and macro setup for an American fashion brand we worked with. By improving how contacts were routed and handled, we helped cut AHT from 8.5 to 4 minutes without adding headcount.
• Keep compliance in the process: Helpware holds SOC 2 Type II, ISO 27001, ISO 9001, and PCI DSS certifications and runs HIPAA- and GDPR-compliant operations. See our ethics and compliance standards.
• Redesign the process when the problem is bigger than the contact center: Our CX operational transformation services help teams rethink workflows, handoffs, and change management when incremental fixes aren’t enough.

And we know when not to outsource the problem. If calls are long because a product is confusing, billing is unclear, or a returns policy creates unnecessary contacts, moving the work to a new team won’t solve the underlying issue. We help identify those contact drivers and give your product and policy teams the information they need to fix them at the source.

The goal isn’t simply to lower AHT. It’s to make every minute of customer and agent time work harder, while keeping resolution and customer experience intact. That’s the kind of AHT improvement we help contact centers build.

Conclusion: Reduce AHT by Removing Friction, Then Prove It

Reducing AHT doesn’t mean making every conversation shorter. It means making each interaction more efficient by removing the work that doesn’t need to be there, whether that’s searching for information, waiting for approvals, transferring customers, or completing unnecessary after-call work.

The right approach is to identify which part of AHT is creating the most friction, fix the underlying process, and set targets around the type of contact being handled. Just as importantly, AHT needs to be measured alongside FCR, repeat contacts, QA, and CSAT. A lower number only represents an improvement when the issue is still being resolved and customers aren’t coming back to finish the job.

That’s the approach we take at Helpware. We combine contact center operations, AI, technology, and quality management to find where time is being lost and remove it without sacrificing the customer experience.

If you’re looking to reduce AHT in your contact center, feel free to reach out to our CX team.