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Agent AI Is Exploding in Contact Centers—Yet the Human Experience Remains Irreplaceable

eglobalis

Introduction: AI-driven virtual agents, including chatbots and voice assistants, are increasingly integral to customer service operations. link] Genesys Virtual Agents: Breaking Free from the Limits of Traditional Chatbots. link] NICE Ltd. Top Benefits and Challenges of Call Center AI Automation.

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Optimizing AI Agent Experiences: Leading Providers, Gaps, and Human Support Strategies

eglobalis

Notable examples include: NICE CXone (Enlighten AI): NICE integrates AI across its cloud contact center platform, with Enlighten AI analyzing customer interactions to automate inquiries and guide agents in real time. The integration of Generative AI allows virtual agents to handle nuanced queries with natural, contextual responses.

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Orchestrating the Switch from AI Agents to Human Interaction – When and Why It Matters in CX

eglobalis

[link] Optimizing AI Agent Experiences: Leading Providers, Gaps, and Human Support Strategies [link] B2B CX Strategy & Business Alignment [link] A bout escalation strategies and flows for advanced AI agents [link] When to Escalate from AI to Human Agents: Best Practices [link] 8 best practices for customer escalation management [link] Escalation (..)

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Using transcription confidence scores to improve slot filling in Amazon Lex

AWS Machine Learning

Interaction model The following are different customer experiences a caller may have depending on what they say and the transcription confidence scores returned by Amazon Lex: Conversation 1: Virtual Agent: Thank you for calling Acme Travel. Virtual Agent: In a few words, what is the reason for your call today?

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5 Best Practices for AI Self-Service Without Compromise

Speaker: Tom Lewis, CEO of SmartAction

This means more and more companies are implementing cloud-based virtual agents that automate conversations traditionally handled by live agents, all of which can be done across several different channels. How to design “lanes” for virtual agents to outperform live agents. Tune in to discover: Where to start.

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Virtual Agents in the Contact Center: Data Gathering Made Easy

NICE inContact

But there are dozens of other processes in which agents collect information from a customer over the phone, and these calls aren’t just long, they’re expensive. Many companies have been able to significantly reduce live agent minutes and the average handle time for calls by using virtual agents to take over the drudgery of data gathering.

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

TechSee

Here are the steps to get started: Build the virtual agent around a single strategic objective. Focus on the business priorities and develop the virtual agent’s capabilities to support this objective. Prioritize high-volume, common customer questions. Is it cost reduction?

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How to Build ROI for Conversational AI

Speaker: Sofia Burton & Tiffany O'Malley from SmartAction

Agent attrition has always been a huge problem, but now the difficulties of the worker shortage make securing live agents for call centers highly competitive. Virtual agents are an expansion of your best live agent — and they can cut operating costs on average of 66%. Demonstrating those best use cases.

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

Speaker: Brian Morin & Helena Chen from SmartAction

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. Self-service is on the rise.

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4 Ways AI-powered Virtual Agents Automate the Contact Center

Speaker: Tom Lewis, CEO of SmartAction

Register now to hear Tom Lewis, CEO of SmartAction, discuss how leading contact centers are leveraging the power of conversational AI through cloud-based virtual agents that automate the call types and chats traditionally handled by live agents. Examples from CX leaders on how and where they deployed virtual agents.

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The Insider Secret to Designing Virtual Agents that Surpass Your Competition

Speaker: Brian Morin, CMO & Mark Landry, VP of Product at SmartAction

In a world where top businesses are always battling for the best technology, you have to ensure that your virtual agent's design is the best in the competition. How data + business logic keeps virtual agents in their "swim lane". But how do you do this? Schematics of successful interactions.

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The 5 Categories That Rule Virtual Agents

Speaker: Brian Morin, CMO, Mark Landry, VP Product, Marilyn Cassedy, Director of Customer Success, SmartAction

It just so happens that whenever we design and deploy a new AI-powered virtual agent over voice, the self-service application invariably falls into one of 5 distinct categories. This has been true for more than a hundred clients encompassing hundreds of use cases across 12 industries.

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Implementing Virtual Agents: Where to Start, and How to Finish

Speaker: Brian Morin, CMO, SmartAction & Aarde Cosseboom, Director of GMS Technology and Product, TechStyle Fashion Group

Why the performance of TechStyle's virtual agents rivals that of live agents. You will learn: What factors went into TechStyle's first decision between tackling internally or outsourcing to a partner. How TechStyle saved $1.1M in their first year afterwards.

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The Conversational AI Journey: What to Expect from Start to Finish

Speaker: Gary Davis, SmartAction CEO

Understanding the work involved before and after you deploy a virtual agent makes all the difference between a poor customer experience and one that’s on par with your best live agent. What happens after go-live, and how to monitor, fine-tune, and train your virtual agent.

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How a Top 25 Most Trusted Brand Handed Their CX to AI

Speaker: Brian Morin, CMO, SmartAction & Patty Kleinfeldt, Director of Q&E, AAA

One of the most trusted brands in the world, AAA, took the most critical aspect of their Customer Experience and handed it over to an AI-powered virtual agent for omnichannel self-service. The secret of data + business logic to keep virtual agents in their "swim lane".