eglobalis
MARCH 18, 2025
Challenges: Ensuring AI can manage high-value interactions with the necessary sophistication and personalization is difficult, as these scenarios often require tailored solutions and strategic thinking. Building Long-Term Relationships Establishing and maintaining long-term customer relationships often relies on human interaction.
eglobalis
MARCH 24, 2025
Introduction: AI-driven virtual agents, including chatbots and voice assistants, are increasingly integral to customer service operations. An insurance firm’s chatbot repeatedly requested previously provided customer details, resulting in customer frustration and escalations to human agents. link] NICE Ltd.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
eglobalis
MARCH 4, 2025
However, despite significant advances, todays AI agents cannot yet resolve every issue or replicate the human touch. To mitigate this, organizations must fine-tune models, apply reinforcement learning, and monitor AI interactions closely. Detect frustration or confusion and automatically route interactions to human representatives.
AWS Machine Learning
DECEMBER 23, 2024
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?
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. By starting every conversation with AI.
InMoment XI
DECEMBER 18, 2024
They provide a central platform for handling customer interactions across various channels. Tools like real-time call transcriptions provide agents with the information they need for quick and effective issue resolution. Personalized interactions help drive revenue growth by fulfilling customer needs and converting prospects.
TechSee
FEBRUARY 20, 2018
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. Here are the steps to get started: Build the virtual agent around a single strategic objective.
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. Schematics of successful interactions. How data + business logic keeps virtual agents in their "swim lane". But how do you do this?
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. If it fits into one of these 5 categories, a live human agent should never handle it. Understand top use cases driving conversational AI adoption.
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. How automating a customer service call isn’t as simple as using a script from a human interaction.
Speaker: Brian Morin, Helena Chen, and David Parsons from SmartAction
Today’s AI assistants are nothing like first-generation voicebots and chatbots that left most users frustrated and unwilling to interact with any kind of bot again. How to modernize the self-service experience with an AI virtual agent that resolves issues conversationally.
Speaker: Brian Morin, CMO & Phillip Fisher, CX Consultant at SmartAction
With the influx of calls replacing in-person interactions, it is up to our virtual agents to not only evolve to the new demands but also to help alleviate the current stressors on live agents. 2020 was the year that customer call centers and customer experience were pushed to their limit.
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. In this webinar, Brian and Aarde will: Identify telephony interactions and volumes that meet thresholds for change.
Advertisement
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.
Expert insights. Personalized for you.
362 
Let's personalize your content