Interaction Self Service Virtual Agent 
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. Drivers for customer self-service.
TechSee
MARCH 19, 2019
Modern contact centers are made up of a complex combination of humans and virtual assistants – using both natural and artificial intelligence – operating over multiple channels and using a wide range of tools to solve customers’ issues. Customer care center metrics in the era of self-service clearly require a different approach.
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NICE inContact
MAY 21, 2019
In a way, self-service in the contact centre is kind of like a buffet: You need a strategy, or you might overeat or miss all the best dishes. It seems like self-service options are everywhere these days. And I know I am not the only fan of faster self-service. What’s your strategy? Many Options.
TechSee
MAY 28, 2019
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.
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?
TechSee
MARCH 7, 2022
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 .
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.
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.
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. You’ll learn: The latest in self-service deployments over voice & chat through live demonstrations.
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.
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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