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

AWS Machine Learning

The goal was to refine customer service scripts, provide coaching opportunities for agents, and improve call handling processes. By doing so, Intact hoped to improve agent efficiency, identify business opportunities, and analyze customer satisfaction, potential product issues, and training gaps.

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How AI-powered virtual agents enhance efficiency in contact centres

Connect

CX innovation In response, contact centre operators are leveraging AI to craft conversational experiences with basic chatbots and more advanced virtual agents , driving the rise of immersive digital customer experiences (CX). By analysing sentiment and intent, AI-powered virtual agents can field more complex tasks and requests.

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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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Making the Case for an Intelligent Virtual Agent

DMG Consulting

Making the Case for an Intelligent Virtual Agent. The challenge is that many companies successfully using interactive voice response (IVR) solutions to displace a large percentage of contact center calls don’t yet appreciate the greater potential value of intelligent virtual agents (IVAs). June 27, 2022 By Donna Fluss.

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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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Step 2 of 5: AI Self-Service Without Compromise – Virtual Agents Need “Guardrails”

SmartAction

This combination has led to the growing adoption of AI-powered virtual agents to automate conversations traditionally handed by live agents. Best Practice #2: Virtual agents need “guardrails”. There is a fine line between what should be automated by conversational AI and what should be transferred to live agents.

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The Future of Intelligent Decision Support Systems in Contact Centers

TechSee

Implementing decision support tools backs up the agent, putting the right information at the tip of their fingers, helping them work smarter and perform better in operational KPIs such as First Call Resolution (FCR) and Average Handling Time (AHT).