Remove Average Handle Time Remove Training Remove Virtual Agent
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Unlocking insights and enhancing customer service: Intact’s transformative AI journey with AWS

AWS Machine Learning

This allowed Intact to transcribe customer calls accurately, train custom language models, simplify the call auditing process, and extract valuable customer insights more efficiently. The goal was to refine customer service scripts, provide coaching opportunities for agents, and improve call handling processes.

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Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

AWS Machine Learning

One solution is to have enough trained agents available to take all the calls right away, even during times of unusually high call volumes. This would eliminate hold times and ensure that callers receive fast responses. per contact—a virtual agent can potentially save $7.91 (98%) for every call it successfully handles.

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Call Center Automation: Definition, Trends, Benefits, & Use Cases

Balto

This creates a more efficient workflow and reduces customer wait times. This allows human agents to focus on more complex and high-value interactions that require empathy and critical thinking. Predictive analytics identify peak call times and staffing needs, enabling managers to optimize schedules and resources.

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Call Center Insights in 2025: Enhance the Customer Experience

Balto

These systems can also detect when wait times exceed acceptable thresholds and alert supervisors in real-time. They utilize key performance indicators (KPIs) such as average handle time and customer satisfaction scores to help agents and managers make informed decisions, identify issues, and enhance operational efficiency.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Virtual Agents are Automating the Contact Center: Natural Language Greeting & Intent Capture

NICE inContact

This is the first of four ways that virtual agents are automating the contact center. Numerous internal transfers lead to increased and lengthy average handling times for live agents, which can be incredibly expensive for companies. fewer calls being transferred to live agents.

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Improving Agent Retention in the Call Center

SmartAction

There’s no need for human agents to perform mundane, repetitive tasks that can be easily automated through a virtual agent. Agents are specially trained to make decisions on their own and are empowered to provide solutions in “any manner they deem appropriate.” Rethink Call Center Metrics.