The contact center AHT agent analyzes calls, chats, workflows, system delays, and journey friction to uncover the real drivers of long handle time. It decomposes AHT into its component parts, surfaces bottlenecks, diagnoses agent effort, and quantifies cost-to-serve impact. It delivers targeted coaching and operational improvements that reduce AHT without compromising customer experience.
The contact center AHT agent is an AI workflow that analyzes calls, chats, emails, and tickets to identify the operational, behavioral, and system-level factors causing long average handle time.
The contact center AHT agent unifies call transcripts, chats, WhatsApp messages, SMS threads, emails, tickets, chatbot escalations, call notes, and disposition codes. It cleans, timestamps, standardizes, and merges multi-channel interactions into complete journeys for precise AHT analysis.
The contact center AHT agent decomposes AHT into steps such as issue identification, clarification, troubleshooting, hold time, system waits, escalation, confirmation, and after-call work. It identifies the root cause behind each delay.
Yes. The contact center AHT agent detects routing failures, slow tools, CRM lag, manual work, repetitive verification steps, outdated knowledge base content, and inefficient troubleshooting flows that inflate AHT.
The contact center AHT agent analyzes over-explaining, unnecessary repetition, long pauses, inefficient questioning, missed ownership cues, and re-reading behaviors to identify where agents need coaching.
Yes. The contact center AHT agent highlights moments where customers must repeat information, clarify issues, or navigate confusion, signals strongly correlated with long AHT and low satisfaction.
The contact center AHT agent produces agent coaching digests, team leader breakdowns, process and system bottleneck reports, category-specific product friction insights, and leadership-level projections for AHT reduction and cost-to-serve impact.