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

TechSee

Customer self-service refers to customer-initiated interaction technologies that enable customers to access information and perform routine tasks without requiring the assistance of a live customer service representative. Drivers for customer self-service.

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Call Deflection strategies in the age of self-service

TechSee

The goal is both to ensure customers receive the answers they are seeking in the most efficient manner and to reduce the number of inbound calls routed to human agents. Let’s explore four proven methods of boosting call deflection: User-friendly self-service channels. Now that’s true success! Proactive customer communications.

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Customer Self-Service: Pros, Cons, Examples

TechSee

Today, digital self-service has become the preference – and the new normal, along with higher expectations and reliance on these channels. The role of technology is more important than ever in improving customer service and operational efficiencies. Download our eBook: What Self Service Will Look Like in 2025 .

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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. Gartner’s Customer Service and Support Leader poll estimates that live channels such as phone and live chat cost an average of $8.01

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Start Every Conversation with AI: The Front Door for Intelligent Customer Service

Speaker: Brian Morin & Helena Chen from SmartAction

Self-service is on the rise. AI virtual agents can help resolve a lot of routine and repetitive interactions, but not all are created equal. Some customer service interactions require a human —but just because some calls must be transferred to a live agent doesn’t mean they can’t all begin with AI.

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

NICE inContact

With all of the new improvements and changes in modern day customer service technology, it’s no surprise that customer expectations have evolved to follow suit as well. This is the first of four ways that virtual agents are automating the contact center. Now more than ever, customers want fast and efficient service.

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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

QnABot allows you to quickly deploy self-service conversational AI into your contact center, websites, and social media channels, reducing costs, shortening hold times, and improving customer experience and brand sentiment. For more information, see Update QnABot Settings. We discuss two such use cases in this section.

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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.