Insights - Ascent Business Partners

How Leading CX Teams Use AI to Reduce AHT

Written by Ascent Business Partners | Jul 21, 2025 9:15:15 PM

Average Handle Time (AHT) is a key performance metric in contact centers. It measures the total time spent handling a customer interaction, combining talk time, hold time, and after-call work. Lowering AHT often drives down costs and boosts productivity, but doing so without sacrificing service quality has historically been a challenge.

Today, AI-powered tools are redefining how CX teams approach AHT. Rather than cutting corners, modern solutions streamline workflows, eliminate repetitive tasks, and empower agents to resolve issues faster, with greater accuracy and empathy.

 

Understanding AHT and Its Impact

AHT is more than just a number. It's a reflection of your contact center’s efficiency, customer experience, and agent performance. The longer the handle time, the higher the operational cost and the greater the burden on agents. Prolonged calls can frustrate customers, especially when they involve transfers, long hold times, or repetitive data entry.

Traditionally, teams tried to lower AHT through scripting, coaching, or limiting call lengths. But these tactics often led to robotic interactions and overlooked the root causes of inefficiency. That’s where AI steps in, with smarter, real-time solutions that improve outcomes across the board.

The AI Advantage in Reducing AHT

Real-Time Agent Assist
AI tools monitor live calls and provide agents with contextual prompts, answers to FAQs, and next-best actions. This eliminates the need to search for information mid-call, allowing agents to focus fully on the customer. The result is faster resolution and higher first-contact success rates.

Automated After-Call Work (ACW)
After every interaction, agents spend time logging notes and updating records. AI automates this documentation, categorizing the conversation, assigning disposition codes, and syncing CRM fields. Agents are freed to handle the next call sooner, and back-end data becomes more accurate.

AI-Led Summarization
Using natural language processing, AI can generate structured summaries of every call. These summaries feed directly into CRM systems or compliance logs, saving agents valuable time and ensuring every conversation is documented consistently.

Intelligent Call Routing and Triage
AI analyzes customer speech or digital inputs to understand intent, urgency, and sentiment. Based on that analysis, it routes inquiries to the most qualified agent or self-service solution, reducing transfers and time spent navigating menus or repeating issues.

The Emergence of Agentic AI: Toward Full Call Automation

Agentic AI takes automation a step further. These autonomous systems can manage entire customer interactions from start to finish. They gather context, plan solutions, and execute tasks across platforms, without requiring human input. When an issue falls outside of predefined logic or needs a human touch, it’s escalated with full context intact.

As these systems evolve, the role of human agents becomes more strategic. They shift from handling every task to focusing on exceptions, escalations, and emotionally sensitive conversations.

Key Benefits for CX Teams

AI-driven AHT reduction improves contact center performance across multiple dimensions:

  • Lower AHT: Every interaction becomes faster and more focused.
  • Higher Service Quality: Agents engage more meaningfully without being distracted by system navigation.
  • Improved Agent Experience: Fewer repetitive tasks and faster calls mean less burnout and better morale.
  • Consistent Compliance: Automated documentation ensures every interaction meets regulatory standards.
  • Scalable Operations: AI helps contact centers handle more volume without increasing headcount.

Real-World Use Cases

Financial institutions are utilizing AI to summarize calls in real-time, ensuring that every regulatory requirement is met while reducing post-call administrative tasks. E-commerce brands deploy agent-assist tools that suggest personalized product recommendations based on a customer's purchasing history. Telecom companies rely on AI for technical triage, providing instant troubleshooting before the agent even answers the call. In healthcare, post-call workflows are automated to update patient records and confirm appointments without delay.

The Future of AI in AHT Reduction

As AI capabilities mature, more interactions will be fully automated, especially simple, repetitive tasks. AHT benchmarks will continue to fall, but the human element will remain vital for nuanced and high-stakes situations. CX leaders should focus on piloting new AI solutions, measuring performance, and iterating to stay ahead in this evolving landscape.

Conclusion

AI has redefined what’s possible to reduce AHT. It streamlines every stage of the customer journey without compromising service quality. For contact centers seeking to elevate efficiency, agent satisfaction, and customer outcomes, the path forward is clear.

Book your complimentary AI assessment with Ascent to discover how AI can enhance your contact center's performance.