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Let’s talk about how AI-augmented support blends AI and empathy to lighten workloads, increase loyalty, and scale services without sacrificing the human touch.
This AI glossary breaks down the most misunderstood terms in AI-powered CX—no jargon, just clarity.
What does “transparency in AI” actually mean—and why should CX leaders care?
Discover how to overcome AI hesitations and harness augmented AI for authentic, empathetic customer experiences.
In the world of generative AI, knowledge base management isn't just a backend task—it's the basis for ensuring your AI assistant delivers accurate, up-to-date, and actually helpful responses.
As a CX leader at a SaaS or e-commerce company, you’ve probably heard plenty about AI’s potential to boost efficiency, reduce costs, and enhance customer satisfaction. But what about your team members?
Creating a well-defined persona is an essential part of any company’s branding and marketing strategy—it helps project a consistent and relatable “character” that connects with customers deeply.
Let's cover best practices for integrating AI and Augmented AI into customer workflows, explore key considerations, and provide practical applications to ensure a seamless and valuable AI experience for both your team and customers.
As we march toward the end of the year—and all the shopping holidays that go with it—CX teams everywhere prepare for the tidal wave of interactions this season brings.
In this post, we’ll debunk some common AI myths and explore how you can implement it thoughtfully, ensuring it complements human roles in CX rather than replacing them.
Lots of people have lots of things to say about AI, but there’s one type that we are hyped about above all else: Augmented AI.
AI is no longer an imaginary development in some far off future — Large Language Models and other generative AI advances are reshaping our lives right now. Here's how we think AI will factor into the future of customer experience.
