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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

The key to making this approach practical is to augment human agents with scalable, AI-powered virtual agents that can address callers’ needs for at least some of the incoming calls. per contact—a virtual agent can potentially save $7.91 (98%) for every call it successfully handles.

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Is LLM-Powered CX Automation Ready for Prime Time?

TechSee

LLM-powered virtual assistants, chatbots, and virtual agents promise to become the new faces of customer experience automation. This could be by automating common tasks performed by agents, or by augmenting agent knowledge and training with virtual agent assistants.

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From Knowledge Base to Virtual Agents: The Shift to AI-powered Self Service

TechSee

In the early days of self service, companies implemented static channels such as FAQs, how-to videos, troubleshooting guides, and knowledge bases. Here are the steps to get started: Build the virtual agent around a single strategic objective. Is it cost reduction?

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Millennial Generation Customer Service – The Ultimate Guide

TechSee

On her way out, she checks with Alexa whether her shoes have been shipped by Amazon, grabs her ear buds, sets her smart home security system, and rides her electric scooter to her WeWork shared office space, stopping briefly at the local convenience store to pick up her morning coffee. Sounds exhausting? Not for Ashley. Visual engagement.

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Build an AI-powered virtual agent for Genesys Cloud using QnABot and Amazon Lex

AWS Machine Learning

Voice bots, or conversational interactive voice response systems (IVR), use natural language processing (NLP) to understand customers’ questions and provide relevant answers. Download and unzip the appropriate version of Archy for your operating system. On the Client Details tab, copy the values for the client ID and client secret.

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The Future of Intelligent Decision Support Systems in Contact Centers

TechSee

Decision Support Systems (DSS) drive faster, smarter decisions based on objective data, rather than on subjective criteria or personal instinct. These systems are relevant for many verticals including healthcare, finance, weather prediction, call and chat centers, desktop apps, info kiosks and more. .

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Meet Sophie AI: The Future of Service

TechSee

Furthermore, an agent can ask the AI Assistant to help them take action through a third-party system, such as ordering a replacement part, updating a billing address, or issuing a refund. Sophie AI Agent The full transformational value of Generative AI will be in customer service automation.

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