eglobalis
MARCH 24, 2025
Introduction: AI-driven virtual agents, including chatbots and voice assistants, are increasingly integral to customer service operations. Knowledge and Training Constraints AI agents require continuous and meticulous training to provide accurate and relevant responses. link] NICE Ltd.
eglobalis
MARCH 18, 2025
For example, a corporate client negotiating a substantial contract prefers direct communication with a knowledgeable human representative to address specific concerns and build rapport. High-Value Client Engagement Premium customers or clients involved in high-stakes transactions expect personalized attention.
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AWS Machine Learning
DECEMBER 23, 2024
For example, when a user needs to provide their account number or confirmation code, speech recognition accuracy becomes crucial. Virtual Agent: In a few words, what is the reason for your call today? Virtual Agent: Ok, lets try again. Virtual Agent: Your booking 1 9 A A B is currently being progressed.
eglobalis
MARCH 4, 2025
For example, an AI-powered RPA bot can extract customer data from email queries, log into enterprise systems, and execute a task such as processing refunds. For example, OneReach.ai and Aisera specialize in AI-powered customer experience automation, while Cresta focuses on AI coaching for contact center agents.
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.
InMoment XI
DECEMBER 18, 2024
As a result, agents can focus on strengthening customer relationships with a personalized and empathetic approach. For example, a call transcription tool prevents the need to listen to lengthy recordings and provides quick insight into customer experiences. This stage ensures that the automation pipeline evolves with customer needs.
NICE inContact
NOVEMBER 16, 2018
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.
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. Real-world examples from 6 leading companies. In this webinar, you will learn: How to categorize interactions for AI applicability.
Speaker: Brian Morin & Helena Chen from SmartAction
Join Brian Morin, CMO, and Helena Chen, Director of Product Marketing at SmartAction to learn the 4 golden rules they've acquired after more than 100 conversational AI implementations for voice self-service that outperforms live agents.
Speaker: Brian Morin, CMO, SmartAction & Aarde Cosseboom, Director of GMS Technology and Product, TechStyle Fashion Group
Adapting to a post-COVID world means recession-proofing your contact center with AI that reduces reliance on live agents with virtual agents that are always on, perfectly trained, and at a fraction of the cost. Share examples of state-of-the-art conversational AI in action. Sketch a back-of-the-napkin ROI in minutes.
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